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Ameri H, Poder TG. Comparison of four approaches in eliciting health state utilities with SF-6Dv2. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2024:10.1007/s10198-024-01723-w. [PMID: 39340750 DOI: 10.1007/s10198-024-01723-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 09/05/2024] [Indexed: 09/30/2024]
Abstract
OBJECTIVE To empirically compare four preference elicitation approaches, the discrete choice experiment with time (DCETTO), the Best-Worst Scaling with time (BWSTTO), DCETTO with BWSTTO (DCEBWS), and the Standard Gamble (SG) method, in valuing health states using the SF-6Dv2. METHODS A representative sample of the general population in Quebec, Canada, completed 6 SG tasks or 13 DCEBWS (i.e., 10 DCETTO followed by 3 BWSTTO). Choice tasks were designed with the SF-6Dv2. Several models were used to estimate SG data, and the conditional logit model was used for the DCE or BWS data. The performance of SG models was assessed using prediction accuracy (mean absolute error [MAE]), goodness of fit using Bayesian information criterion (BIC), t-test, Jarque-Bera (JB) test, Ljung-Box (LB) test, the logical consistency of the parameters, and significance levels. Comparison between approaches was conducted using acceptability (self-reported difficulty and quality levels in answering, and completion time), consistency (monotonicity of model coefficients), accuracy (standard errors), dimensions coefficient magnitude, correlation between the value sets estimated, and the range of estimated values. The variance scale factor was computed to assess individuals' consistency in their choices for DCE and BWS approaches. RESULTS Out of 828 people who completed SG and 1208 for DCEBWS tasks, a total of 724 participants for SG and 1153 for DCE tasks were included for analysis. Although no significant difference was observed in self-reported difficulties and qualities in answers among approaches, the SG had the longest completion time and excluded participants in SG were more prone to report difficulties in answering. The range of standard errors of the SG was the narrowest (0.012 to 0.015), followed by BWSTTO (0.023 to 0.035), DCEBWS (0.028 to 0.050), and DCETTO (0.028 to 0.052). The highest number of insignificant and illogical parameters was for BWSTTO. Pain dimension was the most important across dimensions in all approaches. The correlation between SG and DCEBWS utility values was the strongest (0.928), followed by the SG and BWSTTO values (0.889), and the SG and DCETTO (0.849). The range of utility values generated by SG tended to be shorter (-0.143 to 1) than those generated by the other three methods, whereas BWSTTO (-0.505 to 1) range values were shorter than DCETTO (-1.063 to 1) and DCEBWS (-0.637 to 1). The variance scale factor suggests that respondents had almost similar level of certainty or confidence in both DCE and BWS responses. CONCLUSION The SG had the narrowest value set, the lowest completion rates, the longest completion time, the best prediction accuracy, and produced an unexpected sign for one level. The BWSTTO had a narrower value set, lower completion time, higher parameter inconsistency, and higher insignificant levels compared to DCETTO and DCEBWS. The results of DCEBWS were more similar to SG in number of insignificant and illogical parameters, and correlation.
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Affiliation(s)
- Hosein Ameri
- School of Public Health, University of Montreal, Montreal, QC, Canada
- Centre de Recherche de l'IUSMM, CIUSSS de l'Est de l'Île de Montréal, Montreal, QC, Canada
| | - Thomas G Poder
- School of Public Health, University of Montreal, Montreal, QC, Canada.
- Centre de Recherche de l'IUSMM, CIUSSS de l'Est de l'Île de Montréal, Montreal, QC, Canada.
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Tonmukayakul U, Willoughby K, Mihalopoulos C, Reddihough D, Mulhern B, Carter R, Robinson S, Chen G. Development of algorithms for estimating the Child Health Utility 9D from Caregiver Priorities and Child Health Index of Life with Disability. Qual Life Res 2024; 33:1881-1891. [PMID: 38700756 PMCID: PMC11176203 DOI: 10.1007/s11136-024-03661-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2024] [Indexed: 06/14/2024]
Abstract
PURPOSE The primary aim was to determine Child Health Utility 9D (CHU9D) utilities from the Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD) for non-ambulatory children with cerebral palsy (CP). METHODS One hundred and eight surveys completed by Australian parents/caregivers of children with CP were analysed. Spearman's coefficients were used to investigate the correlations between the two instruments. Ordinary least square, robust MM-estimator, and generalised linear models (GLM) with four combinations of families and links were developed to estimate CHU9D utilities from either the CPCHILD total score or CPCHILD domains scores. Internal validation was performed using 5-fold cross-validation and random sampling validation. The best performing algorithms were identified based on mean absolute error (MAE), concordance correlation coefficient (CCC), and the difference between predicted and observed means of CHU9D. RESULTS Moderate correlations (ρ 0.4-0.6) were observed between domains of the CHU9D and CPCHILD instruments. The best performing algorithm when considering the CPCHILD total score was a generalised linear regression (GLM) Gamma family and logit link (MAE = 0.156, CCC = 0.508). Additionally, the GLM Gamma family logit link using CPCHILD comfort and emotion, quality of life, and health domain scores also performed well (MAE = 0.152, CCC = 0.552). CONCLUSION This study established algorithms for estimating CHU9D utilities from CPCHILD scores for non-ambulatory children with CP. The determined algorithms can be valuable for estimating quality-adjusted life years for cost-utility analysis when only the CPCHILD instrument is available. However, further studies with larger sample sizes and external validation are recommended to validate these findings.
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Affiliation(s)
- Utsana Tonmukayakul
- Deakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC, Australia.
| | - Kate Willoughby
- Orthopaedic Department, The Royal Children's Hospital, Parkville, Melbourne, VIC, Australia
- Murdoch Children's Research Institute, Parkville, Melbourne, VIC, Australia
| | - Cathrine Mihalopoulos
- Deakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC, Australia
- Division of Health Economics, Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Dinah Reddihough
- Murdoch Children's Research Institute, Parkville, Melbourne, VIC, Australia
| | - Brendan Mulhern
- Centre of Health Economics Research and Evaluation, University of Technology Sydney, Haymarket, Sydney, NSW, Australia
| | - Rob Carter
- Deakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Suzanne Robinson
- Deakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC, Australia
| | - Gang Chen
- Centre for Health Economics, Monash Business School, Monash University, Melbourne, VIC, Australia
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Xiong X, Carvalho N, Huang L, Chen G, Jones R, Devlin N, Mulhern B, Dalziel K. Psychometric Properties of Child Health Utility 9D (CHU9D) Proxy Version Administered to Parents and Caregivers of Children Aged 2-4 Years Compared with Pediatric Quality of Life Inventory™ (PedsQL). PHARMACOECONOMICS 2024; 42:147-161. [PMID: 38280126 PMCID: PMC11169045 DOI: 10.1007/s40273-024-01355-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/25/2023] [Indexed: 01/29/2024]
Abstract
OBJECTIVE This study examines the psychometric properties of the Child Health Utility 9D (CHU9D) proxy version administered to parents/caregivers of 2-4-year-old Australian children compared with Pediatric Quality of Life Inventory™ version 4.0 (PedsQL). METHODS Data collected in 2021/2022 from parents/caregivers of 2-4-year-olds from the Australian pediatric multi-instrument comparison study were used. Feasibility, ceiling/floor effects, test-retest reliability, convergent validity, known-group validity, and responsiveness were assessed. RESULTS A total of 842 caregivers completed the survey at baseline, with 513 completing the follow-up survey. The CHU9D did not demonstrate ceiling effects in the sample with special health care needs, with only 6% of respondents reporting best levels for all nine dimensions. CHU9D correlated with PedsQL moderately-to-strongly between comparable items (correlation coefficients 0.34-0.70). CHU9D was able to differentiate between groups with known health differences with moderate-to-large effect sizes (Cohen's d 0.58-2.03). Moderate test-retest reliability was found for CHU9D in those reporting no health change at a 2-day follow-up (ICC 0.52). A standard response mean (SRM) of 0.25-0.44 was found for children with changes in general health and a SRM of 0.72-0.82 for children who reported worsened health when developing new illnesses, indicating small-to-large responsiveness according to different definitions of health changes. Compared with PedsQL, CHU9D had similar known-group validity and responsiveness and slightly poorer test-retest reliability. CONCLUSION The CHU9D was found to be valid and reliable to measure health-related quality-of-life in children aged 2-4 years, although with relatively low test-retest reliability in some dimensions. Further development and validation work is warranted.
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Affiliation(s)
- Xiuqin Xiong
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Natalie Carvalho
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Li Huang
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Gang Chen
- Centre for Health Economics, Monash Business School, Monash University, Melbourne, VIC, Australia
| | - Renee Jones
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Nancy Devlin
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Brendan Mulhern
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Ultimo, Australia
| | - Kim Dalziel
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
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Blair S, Henderson M, McConnachie A, McIntosh E, Smillie S, Wetherall K, Wight D, Xin Y, Bond L, Elliott L, Haw S, Jackson C, Levin K, Wilson P. The Social and Emotional Education and Development intervention to address wellbeing in primary school age children: the SEED cluster RCT. PUBLIC HEALTH RESEARCH 2024; 12:1-173. [PMID: 38940833 DOI: 10.3310/lyrq5047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2024] Open
Abstract
Background Stronger social and emotional well-being during primary school is positively associated with the health and educational outcomes of young people. However, there is little evidence on which programmes are the most effective for improving social and emotional well-being. Objective The objective was to rigorously evaluate the Social and Emotional Education and Development (SEED) intervention process for improving pupils' social and emotional well-being. Design This was a stratified cluster randomised controlled trial with embedded process and economic evaluations. Thirty-eight primary schools were randomly assigned to the SEED intervention or to the control group. Hierarchical regression analysis allowing for clustering at school learning community level was conducted in R (statistical package). Setting The SEED intervention is a whole-school intervention; it involved all school staff and two cohorts of pupils, one starting at 4 or 5 years of age and the second starting at 8 or 9 years of age, across all 38 schools. Participants A total of 2639 pupils in Scotland. Intervention The SEED intervention used an iterative process that involved three components to facilitate selection and implementation of school-based actions: (1) questionnaire completion, (2) benchmarked feedback to all staff and (3) reflective discussions (all staff and an educational psychologist). Main outcome measure The primary outcome was pupils' Strengths and Difficulties Questionnaire-Total Difficulties Score when pupils were 4 years older than at baseline. Results The primary outcome, pupils' Strengths and Difficulties Questionnaire-Total Difficulties Score at follow-up 3, showed improvements for intervention arm pupils, compared with those in the control arm [relative risk -1.30 (95% confidence interval -1.87 to -0.73), standardised effect size -0.27 (95% confidence interval -0.39 to -0.15)]. There was no evidence of intervention effects according to deprivation: the results were significant for both affluent and deprived pupils. Subgroup analysis showed that all effect sizes were larger for the older cohort, particularly boys [relative risk -2.36 (95% confidence interval -3.62 to -1.11), standardised effect size -0.42 (95% confidence interval -0.64 to -0.20)]. Although there was no statistically significant difference in incremental cost and quality-adjusted life-years, the probability that the intervention is cost-effective at a willingness-to-pay threshold of £20,000 per quality-adjusted life-year was high, at 88%. Particularly valued mechanisms of the SEED intervention were its provision of time to reflect on and discuss social and emotional well-being and its contribution to a culture of evaluating practice. Limitations It was a challenge to retain schools over five waves of data collection. Conclusions This trial demonstrated that the SEED intervention is an acceptable, cost-effective way to modestly improve pupil well-being and improve school climate, particularly for older boys and those with greater levels of psychological difficulties. It was beneficial during the transition from primary to secondary school, but this diminished after 6 years. The SEED intervention can be implemented alongside existing systems for addressing pupil well-being and can be complementary to other interventions. Future work Assess whether or not the SEED intervention has a beneficial impact on academic attainment, is transferable to other countries and other organisational settings, would be strengthened by adding core training elements to the intervention process and is transferable to secondary schools. Understand the gender differences illustrated by the outcomes of this trial. Conduct further statistical research on how to handle missing data in longitudinal studies of complex social interventions. Trial registration This trial is registered as ISRCTN51707384. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme (NIHR award ref: 10/3006/13) and is published in full in Public Health Research; Vol. 12, No. 6. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Sarah Blair
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
- Psychology and Counselling, Faculty of Arts and Social Sciences, The Open University, Edinburgh, UK
| | - Marion Henderson
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
- School of Social Work and Social Policy, University of Strathclyde, Glasgow, UK
| | - Alex McConnachie
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Emma McIntosh
- Health Economics and Health Technology Assessment, University of Glasgow, Glasgow, UK
| | - Susie Smillie
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Kirsty Wetherall
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Daniel Wight
- Medical Research Council/Chief Scientist Office Social and Public Health Sciences Unit, University of Glasgow, Glasgow, UK
| | - Yiqiao Xin
- Health Economics and Health Technology Assessment, University of Glasgow, Glasgow, UK
| | - Lyndal Bond
- Australian Health Policy Collaboration, Victoria University, Melbourne, VIC, Australia
| | - Lawrie Elliott
- Department of Nursing and Community Health, Glasgow Caledonian University, Glasgow, UK
| | - Sally Haw
- School of Nursing, Midwifery and Health, University of Stirling, Stirling, UK
| | - Caroline Jackson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Kate Levin
- Public Health Directorate, NHS Greater Glasgow and Clyde, Glasgow, UK
| | - Philip Wilson
- Centre for Rural Health, University of Aberdeen, Aberdeen, UK
- Centre for Health Science, University of the Highlands and Islands, Inverness, UK
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Shrier LA, O'Connell MM, Torres A, Shone LP, Fiks AG, Plumb JA, Maturo JL, McCaskill NH, Harris D, Burke PJ, Felt T, Murphy ML, Sherritt L, Harris SK. Computer-Facilitated Screening and Brief Intervention for Alcohol Use Risk in Adolescent Patients of Pediatric Primary Care Offices: Protocol for a Cluster Randomized Controlled Trial. JMIR Res Protoc 2024; 13:e55039. [PMID: 38530346 PMCID: PMC11005433 DOI: 10.2196/55039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND Alcohol and other substance use disorders usually begin with substance use in adolescence. Pediatric primary care offices, where most adolescents receive health care, are a promising venue for early identification of substance use and for brief intervention to prevent associated problems and the development of substance use disorder. OBJECTIVE This study tests the effects of a computer-facilitated screening and brief intervention (cSBI) system (the CRAFFT [Car, Relax, Alone, Forget, Family/Friends, Trouble] Interactive System [CRAFFT-IS]) on heavy episodic drinking, riding with a driver who is substance impaired, or driving while substance impaired among adolescents aged 14 to 17 years presenting for a well visit at pediatric primary care practices. METHODS We are conducting a cluster randomized controlled trial of the CRAFFT-IS versus usual care and recruiting up to 40 primary care clinicians at up to 20 pediatric primary care practices within the American Academy of Pediatrics (AAP) Pediatric Research in Office Settings network. Clinicians are randomized 1:1 within each practice to implement the CRAFFT-IS or usual care with a target sample size of 1300 adolescent patients aged 14 to 17 years. At study start, intervention clinicians complete web-based modules, trainer-led live sessions, and mock sessions to establish baseline competency with intervention counseling. Adolescents receive mailed recruitment materials that invite adolescents to complete an eligibility survey. Eligible and interested adolescents provide informed assent (parental permission requirement has been waived). Before their visit, enrolled adolescents seeing intervention clinicians complete a self-administered web-based CRAFFT screening questionnaire and view brief psychoeducational content illustrating substance use-associated health risks. During the visit, intervention clinicians access a computerized summary of the patient's screening results and a tailored counseling script to deliver a motivational interviewing-based brief intervention. All participants complete previsit, postvisit, and 12-month follow-up study assessments. Primary outcomes include past 90-day heavy episodic drinking and riding with a driver who is substance impaired at 3-, 6-, 9-, and 12-month follow-ups. Multiple logistic regression modeling with generalized estimating equations and mixed effects modeling will be used in outcomes analyses. Exploratory aims include examining other substance use outcomes (eg, cannabis and nicotine vaping), potential mediators of intervention effect (eg, self-efficacy not to drink), and effect moderation by baseline risk level and sociodemographic characteristics. RESULTS The AAP Institutional Review Board approved this study. The first practice and clinicians were enrolled in August 2022; as of July 2023, a total of 6 practices (23 clinicians) had enrolled. Recruitment is expected to continue until late 2024 or early 2025. Data collection will be completed in 2025 or 2026. CONCLUSIONS Findings from this study will inform the promotion of high-quality screening and brief intervention efforts in pediatric primary care with the aim of reducing alcohol-related morbidity and mortality during adolescence and beyond. TRIAL REGISTRATION ClinicalTrials.gov NCT04450966; https://www.clinicaltrials.gov/study/NCT04450966. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/55039.
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Affiliation(s)
- Lydia A Shrier
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Madison M O'Connell
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Alessandra Torres
- Primary Care Research, American Academy of Pediatrics, Itasca, IL, United States
| | - Laura P Shone
- Primary Care Research, American Academy of Pediatrics, Itasca, IL, United States
- Shone Sciences, DBA, Lowville, NY, United States
| | - Alexander G Fiks
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Julia A Plumb
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Jessica L Maturo
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Nicholas H McCaskill
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Donna Harris
- Primary Care Research, American Academy of Pediatrics, Itasca, IL, United States
| | - Pamela J Burke
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, United States
- School of Nursing, Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States
| | - Thatcher Felt
- Yakima Valley Farm Workers Clinic, Grandview, WA, United States
| | | | - Lon Sherritt
- Cornerstone Systems Northwest, Lynden, WA, United States
| | - Sion Kim Harris
- Division of Adolescent/Young Adult Medicine, Boston Children's Hospital, Boston, MA, United States
- Department of Pediatrics, Harvard Medical School, Boston, MA, United States
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Garvey G, Howard K, Garvey D, Dickson M, Howell M, Butler TL, Cadet-James Y, Cunningham J, Bainbridge R, McGorry P, Williamson A, Anderson KM. What Matters to Aboriginal and Torres Strait Islander Youth (WM2Y): a study protocol to develop a national youth well-being measure. BMJ Open 2024; 14:e076119. [PMID: 38508611 PMCID: PMC10952880 DOI: 10.1136/bmjopen-2023-076119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 02/21/2024] [Indexed: 03/22/2024] Open
Abstract
INTRODUCTION Adolescents face challenges associated with unprecedented environmental, social and technological changes. The impacts of colonisation, intergenerational trauma, racism and socioeconomic disadvantage intensify these challenges for many Aboriginal and Torres Strait Islander adolescents. However, Aboriginal and Torres Strait Islander adolescents also have cultural, spiritual, family and community capital that fosters their well-being.To date, little research has focused on understanding and appropriately measuring the well-being of Aboriginal and Torres Strait Islander adolescents, a pivotal factor in informing and guiding programmes and interventions that support them. This study will identify the domains of well-being and develop a new preference-based well-being measure based on the values and preferences of Aboriginal and Torres Strait Islander youth (aged 12-17 years). METHODS AND ANALYSIS This project will be conducted across three research phases: (1) qualitative exploration of well-being using PhotoYarning and yarns with adult mentors to develop candidate items; (2) Think Aloud study, quantitative survey, psychometric analysis, validity testing of candidate items and finalisation of the descriptive system; and (3) scoring development using a quantitative preference-based approach. A multinomial (conditional) logit framework will be used to analyse responses and generate a scoring algorithm for the new preference-based well-being measure. ETHICS AND DISSEMINATION Ethics approvals have been obtained from: the Human Research Ethics Committees for each state and territory where data are being collected, the institutions where the research is being conducted and from the relevant Departments of Education. The new well-being measure will have wide applicability and can be used in assessing the effectiveness of programmes and services. This new national measure will ensure benefit and positive impact through the ability to identify and measure the aspects of well-being important to and valued by Aboriginal and Torres Strait Islander youth. Results will be published in international peer-reviewed journals and presented at conferences, and summaries will be provided to the study partner organisations and other relevant organisations.
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Affiliation(s)
- Gail Garvey
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
- The University of Sydney, Sydney, New South Wales, Australia
| | - Kirsten Howard
- The University of Sydney, Sydney, New South Wales, Australia
| | - Darren Garvey
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | | | - M Howell
- The University of Sydney, Sydney, New South Wales, Australia
| | - Tamara L Butler
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | | | - Joan Cunningham
- Charles Darwin University, Casuarina, Northern Territory, Australia
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Sakzewski L, Reedman SE, Elliott C, Ziviani J, Novak I, Trost S, Majnemer A, Comans T, Shikako K, Ware RS, McNamara L, Williams S, Keramat SA, Brookes D, Boyd RN. Participate CP 2: optimising participation in physically active leisure for children with cerebral palsy - protocol for a phase III randomised controlled trial. BMJ Open 2023; 13:e075570. [PMID: 37788925 PMCID: PMC10551958 DOI: 10.1136/bmjopen-2023-075570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/30/2023] [Indexed: 10/05/2023] Open
Abstract
INTRODUCTION Children with cerebral palsy (CP) participate less in physical activities and have increased sedentary behaviour compared with typically developing peers. Participate CP is a participation-focused therapy intervention for children with CP with demonstrated efficacy in a phase II randomised controlled trial (RCT) to increase perceived performance of physical activity participation goals. This study will test the effectiveness of Participate CP in a multisite phase III RCT. METHODS AND ANALYSIS One hundred children with CP, aged 8-14 years, classified Gross Motor Function Classification System levels I-IV will be randomised to either (1) receive Participate CP once/week for 1 hour for 12 weeks, or (2) waitlist control, usual care group. The waitlist group will then receive Participate CP following the 26-week retention time point. Outcomes will be assessed at baseline, 12 weeks and then 26 weeks post baseline. The primary outcomes are (1) self-reported participation goal performance on the Canadian Occupational Performance Measure at 12 weeks and (2) daily time in moderate-to-vigorous physical activity. Secondary outcomes include home and community participation frequency, involvement and environmental supportiveness, contextual barriers to participation, quality of life, intrinsic motivation for physical activities, child perception of an autonomy-supportive climate for physical activities and physical literacy at 12 and 26 weeks post study entry. ETHICS AND DISSEMINATION The Children's Health Queensland Hospital and Health Service, The University of Queensland and the New Zealand Health and Disability Ethics Committees have approved this study. Findings will be disseminated in peer-reviewed journals and conference presentations. TRIAL REGISTRATION NUMBER ACTRN12618000206224.
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Affiliation(s)
- Leanne Sakzewski
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland Child Health Research Centre, South Brisbane, Queensland, Australia
| | - Sarah Elizabeth Reedman
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland Child Health Research Centre, South Brisbane, Queensland, Australia
| | - Catherine Elliott
- School of Allied Health, Curtin University, Perth, Western Australia, Australia
- Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Jenny Ziviani
- School of Health and Rehabilitation Science, The University of Queensland - Saint Lucia Campus, Saint Lucia, Queensland, Australia
| | - Iona Novak
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Stewart Trost
- School of Human Movement and Nutrition Sciences, The University of Queensland, Saint Lucia, Queensland, Australia
- Children's Health Queensland Hospital and Health Service, South Brisbane, Queensland, Australia
| | - Annette Majnemer
- School of Physical and Occupational Therapy, McGill University, Montreal, Québec, Canada
| | - Tracy Comans
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Keiko Shikako
- School of Physical and Occupational Therapy, McGill University, Montreal, Québec, Canada
| | - Robert S Ware
- Menzies Health Institute Queensland, Griffith University, Nathan, Queensland, Australia
| | - Lynda McNamara
- Physiotherapy Department, Cairns and Hinterland Hospital and Health Service, Cairns, Queensland, Australia
| | - Sian Williams
- School of Allied Health, Curtin University, Perth, Western Australia, Australia
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Syed Afroz Keramat
- Child Health Research Centre, Faculty of Medicine, The University of Queensland, South Brisbane, Queensland, Australia
| | - Denise Brookes
- Child Health Research Centre, Faculty of Medicine, The University of Queensland, South Brisbane, Queensland, Australia
| | - Roslyn N Boyd
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland Child Health Research Centre, South Brisbane, Queensland, Australia
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Subotic-Kerry M, Werner-Seidler A, Corkish B, Batterham PJ, Sicouri G, Hudson J, Christensen H, O'Dea B, Li SH. Protocol for a randomised controlled trial evaluating the effect of a CBT-I smartphone application (Sleep Ninja®) on insomnia symptoms in children. BMC Psychiatry 2023; 23:684. [PMID: 37730577 PMCID: PMC10510253 DOI: 10.1186/s12888-023-05185-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND Sleep is necessary for healthy development and mental wellbeing. Despite this, many children do not get the recommended duration of sleep each night, and many experience sleep problems. Although treatable, existing interventions for sleep disturbance are time-consuming, burdensome for families, and focus on providing behavioural strategies to parents rather than upskilling children directly. To address this gap, we modified Sleep Ninja®, an evidence-based cognitive behavioural therapy for insomnia (CBT-I) smartphone app for adolescent sleep disturbance, to be appropriate for 10 to 12 year olds. Here, we describe the protocol for a randomised controlled trial to evaluate the effect of Sleep Ninja on insomnia and other outcomes, including depression, anxiety, sleep quality, and daytime sleepiness, and explore effects on the emergence of Major Depressive Disorder (MDD), compared to an active control group. METHODS We aim to recruit 214 children aged 10 to 12 years old experiencing disturbed sleep. Participants will be screened for inclusion, complete the baseline assessment, and then be randomly allocated to receive Sleep Ninja, or digital psychoeducation flyers (active control) for 6-weeks. The primary outcome, insomnia symptoms, along with depression, anxiety, sleep quality, and daytime sleepiness will be assessed at 6-weeks (primary endpoint), 3-months, and 9-months post-baseline (secondary and tertiary endpoints, respectively). A mixed model repeated measures analytic approach will be used to conduct intention-to-treat analyses to determine whether reductions in insomnia and secondary outcomes are greater for those receiving Sleep Ninja relative to the control condition at the primary and secondary endpoints. The difference in relative risk for MDD onset will be explored at 9-months and compared between conditions. DISCUSSION This is the first clinical trial examining the effects of a CBT-I smartphone app in children experiencing sleep disturbance. Results will provide empirical evidence about the effects of Sleep Ninja on insomnia and other mental health outcomes. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ACTRN12623000587606). UNIVERSAL TRIAL NUMBER U1111-1294-4167.
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Affiliation(s)
- M Subotic-Kerry
- Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - A Werner-Seidler
- Black Dog Institute and School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - B Corkish
- Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - P J Batterham
- Centre for Mental Health Research, Australian National University, Canberra, Australia
| | - G Sicouri
- Black Dog Institute and School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - J Hudson
- Black Dog Institute and School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - H Christensen
- Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - B O'Dea
- Black Dog Institute, University of New South Wales, Sydney, NSW, Australia
| | - S H Li
- Black Dog Institute and School of Psychology, University of New South Wales, Sydney, NSW, Australia.
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9
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Brusco NK, Danchin M, Watts JJ, Jos C, Loughnan M, Williams T, Ratcliffe J, Hoq M, Tosif S, Kaufman J. Parent-Reported Child and Parent Quality of Life during COVID-19 Testing at an Australian Paediatric Hospital Outpatient Clinic: A Cross-Sectional Study. Healthcare (Basel) 2023; 11:2555. [PMID: 37761750 PMCID: PMC10530877 DOI: 10.3390/healthcare11182555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 09/04/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Globally, we have seen a drop in adult and child quality of life (QOL) during the COVID-19 pandemic. However, little is known about adult or child QOL during the height of the pandemic in Australia and the impact of government-imposed restrictions, specifically attending school on-site versus home schooling. Our study aimed to establish if QOL in children and parents presenting to a Respiratory Infection Clinic in Victoria, Australia, for COVID-19 PCR testing differed from pre-pandemic population norms. We also explored whether on-site versus home schooling further impacted QOL. Following the child's test and prior to receiving results, consenting parents of children aged 6 to 17 years old completed the Child Health Utility 9 Dimension (CHU9D) instrument on their child's behalf. Parents of children aged birth to five years completed the EuroQOL 5-Dimension 5-Level (EQ-5D-5L) instrument on their own behalf (cross-sectional study). Data analyses utilised quantile regression, adjusting for the child's age, COVID-19 symptoms, gender and chronic health conditions. From July 2020 to November 2021, 2025 parents completed the CHU9D; the mean age for children was 8.41 years (±3.63 SD), and 48.4 per cent were female (n = 980/2025). In the same time period, 5751 parents completed the EQ-5D-5L; the mean age for children was 2.78 years (±1.74 SD), and 52.2 per cent were female (n = 3002/5751). Results showed that QOL scores were lower than pre-pandemic norms for 68 per cent of the CHU9D group and 60 per cent of the EQ-5D-5L group. Comparing periods of on-site to home schooling, there was no difference between the median QOL scores for both CHU9D (0.017, 95% CI -0.05 to 0.01) and EQ-5D-5L (0.000, 95% CI -0.002 to 0.002). Our large-scale study found that while QOL was reduced for children and parents at the point of COVID-19 testing during the pandemic, differing levels of government-imposed restrictions did not further impact QOL. These unique insights will inform decision-making in relation to COVID-19 and future pandemics.
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Affiliation(s)
- Natasha K. Brusco
- Rehabilitation, Ageing and Independent Living (RAIL) Research Centre, School of Primary and Allied Health Care, Monash University, Frankston 3199, Australia
| | - Margie Danchin
- Vaccine Uptake Group, Murdoch Children’s Research Institute, Melbourne 3052, Australia; (M.D.); (M.L.); (T.W.); (J.K.)
- Department of General Medicine, The Royal Children’s Hospital, Melbourne 3052, Australia;
- Department of Paediatrics, School of Population and Global Health, The University of Melbourne, Melbourne 3052, Australia
| | - Jennifer J. Watts
- School of Health and Social Development, Deakin University, Burwood 3125, Australia;
| | - Carol Jos
- Vaccine Uptake Group, Murdoch Children’s Research Institute, Melbourne 3052, Australia; (M.D.); (M.L.); (T.W.); (J.K.)
| | - Myles Loughnan
- Vaccine Uptake Group, Murdoch Children’s Research Institute, Melbourne 3052, Australia; (M.D.); (M.L.); (T.W.); (J.K.)
- Department of General Medicine, The Royal Children’s Hospital, Melbourne 3052, Australia;
| | - Tria Williams
- Vaccine Uptake Group, Murdoch Children’s Research Institute, Melbourne 3052, Australia; (M.D.); (M.L.); (T.W.); (J.K.)
- Infection and Immunity, Murdoch Children’s Research Institute, Melbourne 3052, Australia
| | - Julie Ratcliffe
- Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Adelaide 5001, Australia;
| | - Monsurul Hoq
- Clinical Epidemiology and Biostatistics Unit, Murdoch Children’s Research Institute, Melbourne 3052, Australia;
- RCH National Child Health Poll, The Royal Children’s Hospital, Melbourne 3052, Australia
| | - Shidan Tosif
- Department of General Medicine, The Royal Children’s Hospital, Melbourne 3052, Australia;
- Infection and Immunity, Murdoch Children’s Research Institute, Melbourne 3052, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne 3052, Australia
| | - Jessica Kaufman
- Vaccine Uptake Group, Murdoch Children’s Research Institute, Melbourne 3052, Australia; (M.D.); (M.L.); (T.W.); (J.K.)
- Department of Paediatrics, The University of Melbourne, Melbourne 3052, Australia
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10
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Calzada-Rodríguez JI, Mendoza-Muñoz M, Pastor-Cisneros R, Barrios-Fernandez S, Carlos-Vivas J, Gómez-Galán R, Muñoz-Bermejo L. Effects of a 4-Week After-School Physical Literacy Program on Health-Related Quality of Life and Symptomatology in Schoolchildren with ADHD: A Study Protocol. Healthcare (Basel) 2023; 11:2113. [PMID: 37510554 PMCID: PMC10379282 DOI: 10.3390/healthcare11142113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/19/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
Research has shown that physical activity programs led to improvements in children with Attention Deficit Hyperactivity Disorder (ADHD). However, no study evaluating the impact of a physical literacy (PL) program has been conducted. This study aims to examine PL and the effects of an after-school PL program on Health-related quality of life (HRQoL) and ADHD symptomatology including quality and sustained attention. A parallel-group randomised controlled trial will be conducted assessing PL, HRQoL and ADHD symptomatology, both at the beginning and the end of the PL after-school program implementation. The program will last 4 weeks, including two sessions per week lasting 55 min. Sessions will be divided into several parts: greeting (5 min), block I (20 min), block II (20 min) and relaxation and feedback (10 min). Block I will focus on the acquisition of content that contributes to the development of the domains of knowledge and understanding and daily activity; and block II, in addition to favouring physical competence, will seek to improve motivation. If this program proves its effectiveness, it could be an alternative to be included in educational systems, representing a scientific breakthrough regarding physical activity adherence and inactivity-related disease prevention, HRQoL and management of ADHD-associated symptomatology.
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Affiliation(s)
- José Ignacio Calzada-Rodríguez
- Promoting a Healthy Society Research Group (PHeSO), Faculty of Sport Sciences, University of Extremadura, 10003 Caceres, Spain
| | - María Mendoza-Muñoz
- Research Group on Physical and Health Literacy and Health-Related Quality of Life (PHYQOL), Faculty of Sport Sciences, University of Extremadura, 10003 Caceres, Spain
- Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, 7004-516 Évora, Portugal
| | - Raquel Pastor-Cisneros
- Promoting a Healthy Society Research Group (PHeSO), Faculty of Sport Sciences, University of Extremadura, 10003 Caceres, Spain
| | - Sabina Barrios-Fernandez
- Occupation, Participation, Sustainability and Quality of Life (Ability Research Group), Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain
| | - Jorge Carlos-Vivas
- Physical Activity for Education, Performance and Health (PAEPH) Research Group, Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain
| | - Rafael Gómez-Galán
- Research Group on Physical and Health Literacy and Health-Related Quality of Life (PHYQOL), University of Extremadura, 06810 Mérida, Spain
| | - Laura Muñoz-Bermejo
- Social Impact and Innovation in Health (InHEALTH), University of Extremadura, 06810 Mérida, Spain
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11
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Xiong X, Huang L, Herd DW, Borland ML, Davidson A, Hearps S, Mackay MT, Lee KJ, Dalziel SR, Dalziel K, Cheek JA, Babl FE. Cost-effectiveness of Prednisolone to Treat Bell Palsy in Children: An Economic Evaluation Alongside a Randomized Controlled Trial. Neurology 2023; 100:e2432-e2441. [PMID: 37072220 PMCID: PMC10264054 DOI: 10.1212/wnl.0000000000207284] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 02/27/2023] [Indexed: 04/20/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Bell palsy is the third most frequent diagnosis in children with sudden-onset neurologic dysfunction. The cost-effectiveness of treating Bell palsy with prednisolone in children is unknown. We aimed to assess the cost-effectiveness of prednisolone in treating Bell palsy in children compared with placebo. METHODS This economic evaluation was a prospectively planned secondary analysis of a double-blinded, randomized, placebo-controlled superiority trial (Bell Palsy in Children [BellPIC]) conducted from 2015 to 2020. The time horizon was 6 months since randomization. Children aged 6 months to <18 years who presented within 72 hours of onset of clinician-diagnosed Bell palsy and who completed the trial were included (N = 180). Interventions were oral prednisolone or taste-matched placebo administered for 10 days. Incremental cost-effectiveness ratio comparing prednisolone with placebo was estimated. Costs were considered from a health care sector perspective and included Bell palsy-related medication cost, doctor visits, and medical tests. Effectiveness was measured using quality-adjusted life-years (QALYs) based on Child Health Utility 9D. Nonparametric bootstrapping was performed to capture uncertainties. Prespecified subgroup analysis by age 12 to <18 years vs <12 years was conducted. RESULTS The mean cost per patient was A$760 in the prednisolone group and A$693 in the placebo group over the 6-month period (difference A$66, 95% CI -A$47 to A$179). QALYs over 6 months were 0.45 in the prednisolone group and 0.44 in the placebo group (difference 0.01, 95% CI -0.01 to 0.03). The incremental cost to achieve 1 additional recovery was estimated to be A$1,577 using prednisolone compared with placebo, and cost per additional QALY gained was A$6,625 using prednisolone compared with placebo. Given a conventional willingness-to-pay threshold of A$50,000 per QALY gained (equivalent to US$35,000 or £28,000), prednisolone is very likely cost-effective (probability is 83%). Subgroup analysis suggests that this was primarily driven by the high probability of prednisolone being cost-effective in children aged 12 to <18 years (probability is 98%) and much less so for those <12 years (probability is 51%). DISCUSSION This provides new evidence to stakeholders and policymakers when considering whether to make prednisolone available in treating Bell palsy in children aged 12 to <18 years. TRIAL REGISTRATION INFORMATION Australian New Zealand Clinical Trials Registry ACTRN12615000563561.
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Affiliation(s)
- Xiuqin Xiong
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Li Huang
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - David W Herd
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Meredith L Borland
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Andrew Davidson
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Stephen Hearps
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Mark T Mackay
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Katherine J Lee
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Stuart R Dalziel
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Kim Dalziel
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - John A Cheek
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia
| | - Franz E Babl
- From the Centre for Health Policy (X.X., L.H., K.D.), Melbourne School of Population and Global Health, The University of Melbourne, Victoria; Emergency Department (D.H.), Queensland Children's Hospital; University of Queensland (D.W.H.); Mater Research Institute (D.H.), Brisbane, Queensland; Emergency Department (M.L.B.), Perth Children's Hospital; Divisions of Emergency Medicine and Paediatrics (M.B.), University of Western Australia, Perth; Department of Emergency Medicine (A.D., S.H., M.T.M., J.A.C., F.E.B.), Royal Children's Hospital; Murdoch Children's Research Institute (A.D., M.T.M., K.J.L., J.A.C., F.E.B., S.H.), Parkville, Victoria; Department of Anesthesia (A.D.), and Department of Neurology (M.T.M.), Royal Children's Hospital; Clinical Epidemiology and Biostatistics Unit (K.J.L.), Murdoch Children's Research Institute, Parkville, Victoria; Department of Pediatrics (K.J.L.), Melbourne Medical School, University of Melbourne, Victoria, Australia; Children's Emergency Department (S.R.D.), Starship Children's Hospital, Auckland; Departments of Surgery and Paediatrics: Child and Youth Health (S.R.D.), University of Auckland, New Zealand; and Departments of Paediatrics and Critical Care (J.A.C., F.E.B.), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Victoria, Australia.
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12
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Yang Y, Jiang J, Lin Y, Peng Y. Health-related quality of life for children using orthokeratology (OK), peripheral lenslet designed (PLD) and single-vision (SV) spectacles: based on Child Health Utility 9 Dimensions (CHU9D). Cont Lens Anterior Eye 2023; 46:101839. [PMID: 37024413 DOI: 10.1016/j.clae.2023.101839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/03/2023] [Accepted: 03/28/2023] [Indexed: 04/07/2023]
Abstract
PURPOSE This study investigated the health-related quality of life (HRQoL) among children with myopia who used orthokeratology (OK), peripheral lenslet designed (PLD), and single-vision (SV) spectacles. METHODS This cross-sectional study was conducted between February of 2021 and August of 2022. It involved 211, 231, and 206 respondents with OK, PLD, and SV spectacle lenses, respectively. The HRQoL was presented as utility values using a general preference-based Child Health Utility-nine Dimensions (CHU9D) questionnaire. Descriptive statistical analysis and nonparametric hypothesis testing were used to compare the HRQoL in the OK, PLD, and SV groups. RESULTS Of the 648 respondents, the average utility scores was 0.936 (95 % confidence interval (CI): 0.929-0.943). Children who wore the PLD spectacles had a significantly higher utility scores (0.955, 95 % CI: 0.946-0.963) than those who wore the SV spectacles (0.926, 95 % CI: 0.913-0.939) and the OK lenses (0.925, 95 % CI: 0.913-0.937) (p < 0.01). The PLD spectacle wearers were less likely to be worried, sad, tired, or annoyed than those who wore OK and SV spectacles (P < 0.05). Self-reported improved eyesight and lessened eye pain and discomfort from myopia correction using PLD spectacles had higher utility values (P < 0.05). CONCLUSIONS The PLD spectacles had a significantly higher HRQoL than the OK and SV spectacles among children. Having better eyesight and less eye pain/discomfort from myopia correction could improve the HRQoL of children. This data indicates that PLD spectacles may be considered for myopia management in children and adolescents.
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Sakzewski L, Pool D, Armstrong E, Reedman SE, Boyd RN, Elliott C, Novak I, Trost S, Ware RS, Comans T, Toovey R, Peterson MD, Kentish M, Horan S, Valentine J, Williams S. ACTIVE STRIDES-CP: protocol for a randomised trial of intensive rehabilitation (combined intensive gait and cycling training) for children with moderate-to-severe bilateral cerebral palsy. BMJ Open 2023; 13:e068774. [PMID: 36990490 PMCID: PMC10069600 DOI: 10.1136/bmjopen-2022-068774] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
Abstract
INTRODUCTION For children with cerebral palsy (CP), who are marginally ambulant, gross motor capacity peaks between 6 and 7 years of age with a subsequent clinical decline, impacting their ability to engage in physical activity. Active Strides-CP is a novel package of physiotherapy targeting body functions, activity and participation outcomes for children with bilateral CP. This study will compare Active Strides-CP to usual care in a multisite randomised waitlist-controlled trial. METHODS AND ANALYSIS 150 children with bilateral CP (5-15 years), classified in Gross Motor Function Classification System (GMFCS) levels III and IV will be stratified (GMFCS III vs IV, age 5-10 years; 11-15 years and trial site) and randomised to receive either (1) 8 weeks of Active Strides-CP two times/week for 1.5 hours in clinic and one time/week for 1 hour alternating home visits and telehealth (total dose=32 hours) or (2) usual care. Active Strides-CP comprises functional electrical stimulation cycling, partial body weight support treadmill training, overground walking, adapted community cycling and goal-directed training. Outcomes will be measured at baseline, immediately post-intervention at 9 weeks primary endpoint and at 26 weeks post-baseline for retention. The primary outcome is the Gross Motor Function Measure-66. Secondary outcomes include habitual physical activity, cardiorespiratory fitness, walking speed and distance, frequency/involvement of community participation, mobility, goal attainment and quality of life. Analyses will follow standard principles for randomised controlled trials using two-group comparisons on all participants on an intention-to-treat basis. Comparisons between groups for primary and secondary outcomes will be conducted using regression models. A within-trial cost utility analysis will be performed. ETHICS AND DISSEMINATION The Children's Health Queensland Hospital and Health Service, The University of Queensland, The University of Melbourne and Curtin University Human Research Ethics Committees have approved this study. Results will be disseminated as conference abstracts and presentations, peer-reviewed articles in scientific journals, and institution newsletters and media releases. TRIAL REGISTRATION NUMBER ACTRN12621001133820.
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Affiliation(s)
- Leanne Sakzewski
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland Child Health Research Centre, South Brisbane, Queensland, Australia
| | - Dayna Pool
- School of Allied Health, Curtin University, Carlisle, Western Australia, Australia
| | - Ellen Armstrong
- School of Health Sciences and Social Work, Griffith University, Nathan, Queensland, Australia
| | - Sarah Elizabeth Reedman
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland Child Health Research Centre, South Brisbane, Queensland, Australia
| | - Roslyn N Boyd
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland Child Health Research Centre, South Brisbane, Queensland, Australia
| | - Catherine Elliott
- School of Allied Health, Curtin University, Perth, Western Australia, Australia
- Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Iona Novak
- Cerebral Palsy Alliance Research Institute, Discipline of Child and Adolescent Health, The University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia
| | - Stewart Trost
- School of Human Movement and Nutrition Sciences, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Robert S Ware
- Menzies Health Institute Queensland, Griffith University, Nathan, Queensland, Australia
| | - Tracy Comans
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Rachel Toovey
- The University of Melbourne Melbourne School of Health Sciences, Melbourne, Victoria, Australia
| | - Mark D Peterson
- Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, Michigan, USA
| | - Megan Kentish
- Queensland Paediatric Rehabilitation Service, Children's Health Queensland Hospital and Health Service, Herston, Queensland, Australia
| | - Sean Horan
- School of Health Sciences and Social Work, Griffith University, Gold Coast, Queensland, Australia
| | - Jane Valentine
- Telethon Kids Institute, Nedlands, Western Australia, Australia
| | - Sian Williams
- School of Allied Health, Curtin University, Perth, Western Australia, Australia
- The University of Auckland Liggins Institute, Auckland, New Zealand
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Kelly CB, Soley-Bori M, Lingam R, Forman J, Cecil L, Newham J, Wolfe I, Fox-Rushby J. Mapping PedsQL™ scores to CHU9D utility weights for children with chronic conditions in a multi-ethnic and deprived metropolitan population. Qual Life Res 2023:10.1007/s11136-023-03359-4. [PMID: 36814010 DOI: 10.1007/s11136-023-03359-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/30/2023] [Indexed: 02/24/2023]
Abstract
PURPOSE The Child Health Utility-9 Dimensions (CHU9D) is a patient-reported outcome measure to generate Quality-Adjusted Life Years (QALYs), recommended for economic evaluations of interventions to inform funding decisions. When the CHU9D is not available, mapping algorithms offer an opportunity to convert other paediatric instruments, such as the Paediatric Quality of Life Inventory™ (PedsQL), onto the CHU9D scores. This study aims to validate current PedsQL to CHU9D mappings in a sample of children and young people of a wide age range (0 to 16 years of age) and with chronic conditions. New algorithms with improved predictive accuracy are also developed. METHODS Data from the Children and Young People's Health Partnership (CYPHP) were used (N = 1735). Four regression models were estimated: ordinal least squared, generalized linear model, beta-binomial and censored least absolute deviations. Standard goodness of fit measures were used for validation and to assess new algorithms. RESULTS While previous algorithms perform well, performance can be enhanced. OLS was the best estimation method for the final equations at the total, dimension and item PedsQL scores levels. The CYPHP mapping algorithms include age as an important predictor and more non-linear terms compared with previous work. CONCLUSION The new CYPHP mappings are particularly relevant for samples with children and young people with chronic conditions living in deprived and urban settings. Further validation in an external sample is required. Trial registration number NCT03461848; pre-results.
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Affiliation(s)
- Clare B Kelly
- Institute for Women and Children's Health, King's Health Partners, London, UK
- Department of Women's and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Marina Soley-Bori
- Institute for Women and Children's Health, King's Health Partners, London, UK.
- Department of Population Health, School of Life Course and Population Sciences, King's College London, London, UK.
- Faculty of Life Sciences and Medicine, School of Life Course & Population Sciences, King's College London, Guy's Campus, Great Maze Pond, London, SE1 1UL, UK.
| | - Raghu Lingam
- School of Women's and Children's Health, University of New South Wales, Sydney, Australia
| | - Julia Forman
- Institute for Women and Children's Health, King's Health Partners, London, UK
- Department of Women's and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Lizzie Cecil
- Institute for Women and Children's Health, King's Health Partners, London, UK
- Department of Women's and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - James Newham
- Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Ingrid Wolfe
- Institute for Women and Children's Health, King's Health Partners, London, UK
- Department of Women's and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Julia Fox-Rushby
- Department of Population Health, School of Life Course and Population Sciences, King's College London, London, UK
- NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
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15
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Engel L, Majmudar I, Mihalopoulos C, Tollit MA, Pang KC. Assessment of Quality of Life of Transgender and Gender-Diverse Children and Adolescents in Melbourne, Australia, 2017-2020. JAMA Netw Open 2023; 6:e2254292. [PMID: 36729456 PMCID: PMC9896293 DOI: 10.1001/jamanetworkopen.2022.54292] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
IMPORTANCE Transgender and gender-diverse (TGD) children and adolescents may experience not only gender dysphoria but also depression and anxiety, all of which are likely to be associated with reduced quality of life (QOL). Despite this, little is known about QOL in this population. OBJECTIVES To identify demographic, social, and clinical characteristics associated with reduced QOL in TGD children and adolescents; compare their QOL with age-matched population-based norms and that of young people with common mental health problems; and evaluate the association between gender dysphoria and QOL. DESIGN, SETTING, AND PARTICIPANTS In this cohort study, baseline data were derived from questionnaires completed in a prospective cohort study (Trans20) of TGD children aged 6 to 12 years and adolescents aged 13 to 17 years first seen at the Royal Children's Hospital Gender Service (Melbourne, Australia) between February 2017 and February 2020. MAIN OUTCOMES AND MEASURES The main outcome was QOL, measured using the Child Health Utility 9D instrument (CHU-9D). Data collection included demographic information, social factors (eg, bullying, lack of support, and social transition), and clinical characteristics (eg, gender identity, gender dysphoria, and mental health difficulties). Population norms and CHU-9D data for Australian youths with mental health diagnoses were derived from published literature. RESULTS The TGD cohort comprised 525 children and adolescents aged 6 to 17 years (median age, 14 years [IQR, 12-16 years]; 364 [69.33%] presumed female at birth). The mean (SD) CHU-9D score was 0.46 (0.26). Compared with population norms, TGD children (0.58 [0.27] vs 0.81 [0.16]; P < .001) and adolescents (0.41 [0.25] vs 0.80 [0.14]; P < .001) had significantly lower scores. Within the TGD cohort, mean (SD) scores were significantly lower in adolescents (0.41 [0.24] vs 0.62 [0.25]; P < .001), those assigned female at birth (0.43 [0.26] vs 0.55 [0.25]; P < .001), those reporting mental health problems (0.37 [0.23] vs 0.57 [0.25]; P < .001) and physical health problems (0.41 [0.26] vs 0.48 [0.26]; P = .04), and those who were bullied (0.38 [0.24] vs 0.52 [0.25]; P < .001). Gender dysphoria alone was associated with a lower mean (SD) CHU-9D score (0.51 [0.23]) than that in control adolescents with serious mental health conditions such as depression (0.64 [0.26]) and anxiety (0.70 [0.24]) and was an independent factor associated with QOL. CONCLUSIONS AND RELEVANCE In this cohort study of TGD children and adolescents in Australia, QOL was worse in this population than in age-matched, population-based peers. Quality of life associated with gender dysphoria was substantially worse than that seen in young people with common mental health conditions. These findings emphasize the risk of poor QOL among TGD young people and the need to better support them.
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Affiliation(s)
- Lidia Engel
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Ishani Majmudar
- Deakin Health Economics, Deakin University, Burwood, Victoria, Australia
| | - Cathrine Mihalopoulos
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Deakin Health Economics, Deakin University, Burwood, Victoria, Australia
| | - Michelle A. Tollit
- The Royal Children’s Hospital, Parkville, Victoria, Australia
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Ken C. Pang
- The Royal Children’s Hospital, Parkville, Victoria, Australia
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
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Xiong X, Dalziel K, Huang L, Rivero-Arias O. Test-Retest Reliability of EQ-5D-Y-3L Best-Worst Scaling Choices of Adolescents and Adults. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:50-54. [PMID: 35970707 DOI: 10.1016/j.jval.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 07/01/2022] [Accepted: 07/07/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND There is an increasing interest to obtain adolescents' own health state valuation preferences and to understand how these differ from adult preferences for the same health state. An important question in health state valuation is whether adolescents can report preferences reliably, yet research remains limited. OBJECTIVE This study aims to investigate the test-retest reliability of best-worst scaling (BWS) to elicit adolescent preferences compared with adults. METHODS Identical BWS tasks designed to value 3-level version of EQ-5D-Y health states were administered online in samples of 1000 adolescents (aged 11-17 years) and 1006 adults in Spain. The valuation survey was repeated approximately 3 days later. We calculated (1) simple percentage agreement and (2) kappa statistic as measures of test-retest reliability. We also compared BWS marginal frequencies and relative attribute importance between baseline and follow-up to explore similarities in the obtained preferences. RESULTS We found that both adolescents and adults were able to report their preferences with moderate reliability (kappa: 0.46 for adolescents, 0.46 for adults) for best choices and fair to moderate reliability (kappa: 0.39 for adolescents, 0.41 for adults) for worst choices. No notable difference was observed across years of child age. Higher consistency was observed for best choices than worst in some dimensions for both populations. No significant differences were found in the relative attribute importance between baseline and follow-up in both populations. CONCLUSION Our results suggest that BWS is a reliable elicitation technique to value 3-level version of EQ-5D-Y health states in both adolescents and adults.
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Affiliation(s)
- Xiuqin Xiong
- Health Economics Unit, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Kim Dalziel
- Health Economics Unit, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Li Huang
- Health Economics Unit, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Oliver Rivero-Arias
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK.
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Bailey C, Howell M, Raghunandan R, Salisbury A, Chen G, Coast J, Craig JC, Devlin NJ, Huynh E, Lancsar E, Mulhern BJ, Norman R, Petrou S, Ratcliffe J, Street DJ, Howard K, Viney R. Preference Elicitation Techniques Used in Valuing Children's Health-Related Quality-of-Life: A Systematic Review. PHARMACOECONOMICS 2022; 40:663-698. [PMID: 35619044 PMCID: PMC9270310 DOI: 10.1007/s40273-022-01149-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/18/2022] [Indexed: 05/04/2023]
Abstract
BACKGROUND AND OBJECTIVES Valuing children's health states for use in economic evaluations is globally relevant and is of particular relevance in jurisdictions where a cost-utility analysis is the preferred form of analysis for decision making. Despite this, the challenges with valuing child health mean that there are many remaining questions for debate about the approach to elicitation of values. The aim of this paper was to identify and describe the methods used to value children's health states and the specific issues that arise in the use of these methods. METHODS We conducted a systematic search of electronic databases to identify studies published in English since 1990 that used preference elicitation methods to value child and adolescent (under 18 years of age) health states. Eligibility criteria comprised valuation studies concerning both child-specific patient-reported outcome measures and child health states defined in other ways, and methodological studies of valuation approaches that may or may not have yielded a value set algorithm. RESULTS A total of 77 eligible studies were identified from which data on country setting, aims, condition (general population or clinically specific), sample size, age of respondents, the perspective that participants were asked to adopt, source of values (respondents who completed the preference elicitation tasks) and methods questions asked were extracted. Extracted data were classified and evaluated using narrative synthesis methods. The studies were classified into three groups: (1) studies comparing elicitation methods (n = 30); (2) studies comparing perspectives (n = 23); and (3) studies where no comparisons were presented (n = 26); selected studies could fall into more than one group. Overall, the studies varied considerably both in methods used and in reporting. The preference elicitation tasks included time trade-off, standard gamble, visual analogue scaling, rating/ranking, discrete choice experiments, best-worst scaling and willingness to pay elicited through a contingent valuation. Perspectives included adults' considering the health states from their own perspective, adults taking the perspective of a child (own, other, hypothetical) and a child/adolescent taking their own or the perspective of another child. There was some evidence that children gave lower values for comparable health states than did adults that adopted their own perspective or adult/parents that adopted the perspective of children. CONCLUSIONS Differences in reporting limited the conclusions that can be formed about which methods are most suitable for eliciting preferences for children's health and the influence of differing perspectives and values. Difficulties encountered in drawing conclusions from the data (such as lack of consensus and poor reporting making it difficult for users to choose and interpret available values) suggest that reporting guidelines are required to improve the consistency and quality of reporting of studies that value children's health using preference-based techniques.
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Affiliation(s)
- Cate Bailey
- Health Economics Unit, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Melbourne, VIC, Australia.
| | - Martin Howell
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Rakhee Raghunandan
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Amber Salisbury
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Gang Chen
- Centre for Health Economics, Monash University, Melbourne, VIC, Australia
| | - Joanna Coast
- Health Economics Bristol, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jonathan C Craig
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Nancy J Devlin
- Centre for Health Policy, University of Melbourne, Melbourne, VIC, Australia
| | - Elisabeth Huynh
- Department of Health Services and Policy Research, Research School of Population Health, Australian National University, Canberra, ACT, Australia
| | - Emily Lancsar
- Department of Health Services and Policy Research, Research School of Population Health, Australian National University, Canberra, ACT, Australia
| | - Brendan J Mulhern
- Centre for Health Economics, Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia
| | - Richard Norman
- School of Population Health, Curtin University, Perth, WA, Australia
| | - Stavros Petrou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Julie Ratcliffe
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
| | - Deborah J Street
- Centre for Health Economics, Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia
| | - Kirsten Howard
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Rosalie Viney
- Centre for Health Economics, Research and Evaluation (CHERE), University of Technology Sydney, Sydney, NSW, Australia
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Åström M, Rolfson O, Burström K. Exploring EQ-5D-Y-3L Experience-Based VAS Values Derived Among Adolescents. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2022; 20:383-393. [PMID: 35083734 PMCID: PMC9021108 DOI: 10.1007/s40258-021-00713-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/12/2021] [Indexed: 05/29/2023]
Abstract
OBJECTIVES The EQ-5D-Y-3L is a generic health-related quality of life (HRQoL) instrument, developed from the adult version to be suitable for children and adolescents aged 8-15 years. To derive values for the EQ-5D-Y-3L different valuation methods and perspectives have been applied. The aim of this study was to explore EQ-5D-Y-3L experience-based visual analogue scale (VAS) values derived among adolescents. METHODS Data were derived from a cross-sectional population survey administered via schools in 2014 to adolescents aged 13-18 years, in Sweden. Regression analyses were performed on individual data with the VAS value as dependent variable. Ordinary least-squares (OLS) and generalised linear models (GLM) were estimated with two dummy variables for each of the EQ-5D-Y-3L dimensions. Interaction variables were tested. One way of anchoring VAS at dead and full health by using the predicted values for worst and best health states defined by the EQ-5D-Y-3L descriptive system was explored. RESULTS Of the 243 possible health states in EQ-5D-Y-3L, 92 were reported by the 6,468 respondents. The largest decrements in VAS values were observed for the dimension 'feeling worried, sad or unhappy' followed by 'doing usual activities'. All models performed similarly in terms of monotonicity and goodness of fit but in terms of simplicity and understandability, the OLS main effect model was superior. CONCLUSIONS We have explored experience-based VAS values for the EQ-5D-Y-3L derived among adolescents. The findings suggest that it is possible for adolescents to value their own health state using the VAS, which makes it possible to capture aspects that are important for young people.
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Affiliation(s)
- Mimmi Åström
- Health Outcomes and Economic Evaluation Research Group, Department of Learning, Informatics, Management and Ethics, Stockholm Centre for Healthcare Ethics, Karolinska Institutet, Tomtebodavägen 18 A, SE-171 77, Stockholm, Sweden.
- Equity and Health Policy Research Group, Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
- Centre for Health Economics, Informatics and Health Services Research, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
| | - Ola Rolfson
- Health Outcomes and Economic Evaluation Research Group, Department of Learning, Informatics, Management and Ethics, Stockholm Centre for Healthcare Ethics, Karolinska Institutet, Tomtebodavägen 18 A, SE-171 77, Stockholm, Sweden
- Department of Orthopaedics, Institute of Clinical Sciences, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kristina Burström
- Health Outcomes and Economic Evaluation Research Group, Department of Learning, Informatics, Management and Ethics, Stockholm Centre for Healthcare Ethics, Karolinska Institutet, Tomtebodavägen 18 A, SE-171 77, Stockholm, Sweden
- Equity and Health Policy Research Group, Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
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Siegel L, Yan H, Warsi N, Wong S, Suresh H, Weil AG, Ragheb J, Wang S, Rozzelle C, Albert GW, Raskin J, Abel T, Hauptman J, Schrader DV, Bollo R, Smyth MD, Lew SM, Lopresti M, Kizek DJ, Weiner HL, Fallah A, Widjaja E, Ibrahim GM. Connectomic profiling and Vagus nerve stimulation Outcomes Study (CONNECTiVOS): a prospective observational protocol to identify biomarkers of seizure response in children and youth. BMJ Open 2022; 12:e055886. [PMID: 35396292 PMCID: PMC8995963 DOI: 10.1136/bmjopen-2021-055886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Vagus nerve stimulation (VNS) is a neuromodulation therapy that can reduce the seizure burden of children with medically intractable epilepsy. Despite the widespread use of VNS to treat epilepsy, there are currently no means to preoperatively identify patients who will benefit from treatment. The objective of the present study is to determine clinical and neural network-based correlates of treatment outcome to better identify candidates for VNS therapy. METHODS AND ANALYSIS In this multi-institutional North American study, children undergoing VNS and their caregivers will be prospectively recruited. All patients will have documentation of clinical history, physical and neurological examination and video electroencephalography as part of the standard clinical workup for VNS. Neuroimaging data including resting-state functional MRI, diffusion-tensor imaging and magnetoencephalography will be collected before surgery. MR-based measures will also be repeated 12 months after implantation. Outcomes of VNS, including seizure control and health-related quality of life of both patient and primary caregiver, will be prospectively measured up to 2 years postoperatively. All data will be collected electronically using Research Electronic Data Capture. ETHICS AND DISSEMINATION This study was approved by the Hospital for Sick Children Research Ethics Board (REB number 1000061744). All participants, or substitute decision-makers, will provide informed consent prior to be enrolled in the study. Institutional Research Ethics Board approval will be obtained from each additional participating site prior to inclusion. This study is funded through a Canadian Institutes of Health Research grant (PJT-159561) and an investigator-initiated funding grant from LivaNova USA (Houston, TX; FF01803B IIR).
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Affiliation(s)
- Lauren Siegel
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Han Yan
- Division of Neurosurgery, Hospital for Sick Children, Department of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
| | - Nebras Warsi
- Division of Neurosurgery, Hospital for Sick Children, Department of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
| | - Simeon Wong
- Program in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
| | - Hrishikesh Suresh
- Division of Neurosurgery, Hospital for Sick Children, Department of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
| | - Alexander G Weil
- Pediatric Neurosurgery, Department of Surgery, Sainte Justine Hospital, University of Montreal, Montreal, Quebec, Canada
| | - John Ragheb
- Division of Neurosurgery, Nicklaus Children's Hospital, Miami, Florida, USA
| | - Shelly Wang
- Division of Neurosurgery, Nicklaus Children's Hospital, Miami, Florida, USA
| | - Curtis Rozzelle
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Gregory W Albert
- Department of Neurosurgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Jeffrey Raskin
- Department of Neurological Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Taylor Abel
- Department of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jason Hauptman
- Department of Neurosurgery, Seattle Children's Hospital, Seattle, Washington, USA
| | - Dewi V Schrader
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert Bollo
- Department of Neurosurgery, University of Utah, Salt Lake City, Utah, USA
| | - Matthew D Smyth
- Department of Neurosurgery, Washington University School of Medicine in St Louis, Milwaukee, Wisconsin, USA
| | - Sean M Lew
- Department of Neurosurgery, Children's Hospital of Wisconsin, Milwaukee, Wisconsin, USA
| | - Melissa Lopresti
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Dominic J Kizek
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Howard L Weiner
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Aria Fallah
- Neurosurgery, University of California Los Angeles, Los Angeles, California, USA
| | - Elysa Widjaja
- Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada
| | - George M Ibrahim
- Division of Neurosurgery, Hospital for Sick Children, Department of Neurosurgery, University of Toronto, Toronto, Ontario, Canada
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20
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Kwon J, Freijser L, Huynh E, Howell M, Chen G, Khan K, Daher S, Roberts N, Harrison C, Smith S, Devlin N, Howard K, Lancsar E, Bailey C, Craig J, Dalziel K, Hayes A, Mulhern B, Wong G, Ratcliffe J, Petrou S. Systematic Review of Conceptual, Age, Measurement and Valuation Considerations for Generic Multidimensional Childhood Patient-Reported Outcome Measures. PHARMACOECONOMICS 2022; 40:379-431. [PMID: 35072935 PMCID: PMC9007803 DOI: 10.1007/s40273-021-01128-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/19/2021] [Indexed: 05/20/2023]
Abstract
BACKGROUND AND AIMS Patient-reported outcome measures (PROMs) for children (aged ≤ 18 years) present methodological challenges. PROMs can be categorised by their diverse underlying conceptual bases, including functional, disability and health (FDH) status; quality of life (QoL); and health-related quality of life (HRQoL). Some PROMs are designed to be accompanied by preference weights. PROMs should account for childhood developmental differences by incorporating age-appropriate health/QoL domains, guidance on respondent type(s) and design. This systematic review aims to identify generic multidimensional childhood PROMs and synthesise their characteristics by conceptual basis, target age, measurement considerations, and the preference-based value sets that accompany them. METHODS The study protocol was registered in the Prospective Register of Systematic Reviews (CRD42021230833), and reporting followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We conducted systematic database searches for generic multidimensional childhood PROMs covering the period 2012-2020, which we combined with published PROMs identified by an earlier systematic review that covered the period 1992-2011. A second systematic database search identified preference-based value sets for generic multidimensional PROMs. The PROMs were categorised by conceptual basis (FDH status, QoL and HRQoL) and by target age (namely infants and pre-schoolers aged < 5 years, pre-adolescents aged 5-11, adolescents aged 12-18 and multi-age group coverage). Descriptive statistics assessed how PROM characteristics (domain coverage, respondent type and design) varied by conceptual basis and age categories. Involvement of children in PROM development and testing was assessed to understand content validity. Characteristics of value sets available for the childhood generic multidimensional PROMs were identified and compared. RESULTS We identified 89 PROMs, including 110 versions: 52 FDH, 29 QoL, 12 HRQoL, nine QoL-FDH and eight HRQoL-FDH measures; 20 targeted infants and pre-schoolers, 29 pre-adolescents, 24 adolescents and 37 for multiple age groups. Domain coverage demonstrated development trajectories from observable FDH aspects in infancy through to personal independence and relationships during adolescence. PROMs targeting younger children relied more on informant report, were shorter and had fewer ordinal scale points. One-third of PROMs were developed following qualitative research or surveys with children or parents for concept elicitation. There were 21 preference-based value sets developed by 19 studies of ten generic multidimensional childhood PROMs: seven were based on adolescents' stated preferences, seven were from adults from the perspective of or on behalf of the child, and seven were from adults adopting an adult's perspective. Diverse preference elicitation methods were used to elicit values. Practices with respect to anchoring values on the utility scale also varied considerably. The range and distribution of values reflect these differences, resulting in value sets with notably different properties. CONCLUSION Identification and categorisation of generic multidimensional childhood PROMs and value sets by this review can aid the development, selection and interpretation of appropriate measures for clinical and population research and cost-effectiveness-based decision-making.
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Affiliation(s)
- Joseph Kwon
- School of Health and Related Research, University of Sheffield, Sheffield, England, UK
| | - Louise Freijser
- Centre for Health Policy, University of Melbourne, Melbourne, Australia
| | - Elisabeth Huynh
- Department of Health Services Research and Policy, Australian National University, Canberra, Australia
| | - Martin Howell
- School of Public Health, University of Sydney, Sydney, Australia
| | - Gang Chen
- Centre for Health Economics, Monash University, Melbourne, Australia
| | - Kamran Khan
- Centre for Health Economics at Warwick, University of Warwick, Coventry, England, UK
| | - Shahd Daher
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England, UK
| | - Nia Roberts
- Bodleian Health Care Libraries, University of Oxford, Oxford, England, UK
| | - Conrad Harrison
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, England, UK
| | - Sarah Smith
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, England, UK
| | - Nancy Devlin
- Centre for Health Policy, University of Melbourne, Melbourne, Australia
| | - Kirsten Howard
- School of Public Health, University of Sydney, Sydney, Australia
| | - Emily Lancsar
- Department of Health Services Research and Policy, Australian National University, Canberra, Australia
| | - Cate Bailey
- Centre for Health Policy, University of Melbourne, Melbourne, Australia
| | - Jonathan Craig
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Kim Dalziel
- Health Economics Unit, University of Melbourne, Melbourne, Australia
| | - Alison Hayes
- School of Public Health, University of Sydney, Sydney, Australia
| | - Brendan Mulhern
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia
| | - Germaine Wong
- School of Public Health, University of Sydney, Sydney, Australia
| | - Julie Ratcliffe
- Caring, Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Stavros Petrou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England, UK
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21
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Klaufus L, Verlinden E, van der Wal M, Cuijpers P, Chinapaw M, Smit F. Adolescent anxiety and depression: burden of disease study in 53,894 secondary school pupils in the Netherlands. BMC Psychiatry 2022; 22:225. [PMID: 35354437 PMCID: PMC8969267 DOI: 10.1186/s12888-022-03868-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 02/28/2022] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Prevalence rates of anxiety and depression in adolescence are rising markedly in early adolescence. It is important to quantify the non-fatal disease burden of anxiety and depression, such that early interventions can be well targeted, and resources can be allocated in a just and optimal way. This study aimed to estimate the non-fatal disease burden of anxiety and depression with and without suicidal ideation in girls and boys aged 13, 14, and 15 years. METHODS Participants were 53,894 secondary school pupils who completed health questionnaires between September 2018 and July 2019. A design-based approach was used for complex survey data with post-stratification weights and taking clustering at school-level into account. At individual level, disability weights (DWs) were calculated for each disorder. At population level, DWs were multiplied by the point-prevalence per one thousand population of the respective disorders to compute years lived with disability (YLD). DWs and YLD of anxiety and depression were calculated with and without adjustment for comorbid eating disorders, substance use disorders and somatic illnesses. RESULTS The unadjusted DW of depression with suicidal ideation (0.30) was greater than without suicidal ideation (0.26), and both were greater than the DW of anxiety (0.24). A similar ranking was obtained after adjusting for comorbidities. At population level, where the prevalence of the disorders come into play, the YLD disease burden was greatest for anxiety, followed by depression with suicidal ideation and depression without suicidal ideation with 17.40, 9.85, and 5.28 YLD per one thousand population, unadjusted for comorbidities. This pattern was the same after adjustment, but then the total YLD of depression with and without suicidal ideation was similar to the YLD of anxiety (12.47 and 12.46, respectively). Girls showed a significantly greater YLD burden of anxiety and depression than boys, but no differences were found between different age groups. CONCLUSIONS From an individual clinical perspective, depression, especially when accompanied by suicidal ideation, was identified as a major health concern, especially in girls. From a public health perspective, both anxiety and depression, especially when accompanied by suicidal ideation, were identified as major drivers of disease burden, again most notably in girls.
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Affiliation(s)
- Leonie Klaufus
- Department of Epidemiology, Health Promotion and Health Care Innovation, Public Health Service Amsterdam, Nieuwe Achtergracht 100, 1018WT, Amsterdam, the Netherlands. .,Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
| | - Eva Verlinden
- grid.413928.50000 0000 9418 9094Department of Epidemiology, Health Promotion and Health Care Innovation, Public Health Service Amsterdam, Nieuwe Achtergracht 100, 1018WT Amsterdam, the Netherlands
| | - Marcel van der Wal
- grid.413928.50000 0000 9418 9094Department of Epidemiology, Health Promotion and Health Care Innovation, Public Health Service Amsterdam, Nieuwe Achtergracht 100, 1018WT Amsterdam, the Netherlands
| | - Pim Cuijpers
- grid.16872.3a0000 0004 0435 165XDepartment of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Mai Chinapaw
- grid.12380.380000 0004 1754 9227Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Filip Smit
- grid.16872.3a0000 0004 0435 165XDepartment of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands ,grid.16872.3a0000 0004 0435 165XDepartment of Epidemiology and Biostatistics, Amsterdam Public Health research institute, Amsterdam UMC, Location VUmc, Amsterdam, the Netherlands ,grid.416017.50000 0001 0835 8259Department of Mental Health and Prevention, Trimbos Institute (Netherlands Institute of Mental Health and Addition), Utrecht, the Netherlands
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22
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Robinson T, Hill S, Oluboyede Y. Developing a preference-based measure for weight-specific health-related quality of life in adolescence: the WAItE UK valuation study protocol. BMJ Open 2021; 11:e054203. [PMID: 34785557 PMCID: PMC8596058 DOI: 10.1136/bmjopen-2021-054203] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Adolescent obesity is a public health problem in the UK. The Weight-Specific Adolescent Instrument for Economic Evaluation (WAItE) has been developed as the first weight-specific health-related quality of life measure appropriate for economic evaluation, but currently cannot be used to generate quality-adjusted life years (QALYs), which are the basis of cost-utility analysis. Generic measures (such as the EQ-5D-Y or CHU-9D) may be insensitive to small but important health changes in overweight or obese adolescents. This study aims to generate a preference-based scoring algorithm for the WAItE. METHODS AND ANALYSIS A discrete choice experiment (DCE) will be administered to value health states described by the WAItE classification system. These health states will be presented to members of the adult general population of the UK via an online survey. A range of regression models will be used to produce the utility algorithm for the WAItE. The DCE-visual analogue scale and time trade-off (TTO) anchoring methods will be used anchor the value set on to the 0-1 QALY scale. ETHICS AND DISSEMINATION The Newcastle University Medical School Ethics Committee approved the study (references 4772/2020 (DCE) and 9978/2020 (TTO)). The developed algorithm can be applied to future economic evaluations of weight management interventions and treatments for adolescents.
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Affiliation(s)
- Tomos Robinson
- Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK
| | - Sarah Hill
- Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK
| | - Yemi Oluboyede
- Population Health Sciences Institute, Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, UK
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23
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Kaur MN, Skolasky RL, Powell PA, Xie F, Huang IC, Kuspinar A, O'Dwyer JL, Cizik AM, Rowen D. Transforming challenges into opportunities: conducting health preference research during the COVID-19 pandemic and beyond. Qual Life Res 2021; 31:1191-1198. [PMID: 34661806 PMCID: PMC8521079 DOI: 10.1007/s11136-021-03012-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2021] [Indexed: 11/30/2022]
Abstract
The disruptions to health research during the COVID-19 pandemic are being recognized globally, and there is a growing need for understanding the pandemic’s impact on the health and health preferences of patients, caregivers, and the general public. Ongoing and planned health preference research (HPR) has been affected due to problems associated with recruitment, data collection, and data interpretation. While there are no “one size fits all” solutions, this commentary summarizes the key challenges in HPR within the context of the pandemic and offers pragmatic solutions and directions for future research. We recommend recruitment of a diverse, typically under-represented population in HPR using online, quota-based crowdsourcing platforms, and community partnerships. We foresee emerging evidence on remote, and telephone-based HPR modes of administration, with further studies on the shifts in preferences related to health and healthcare services as a result of the pandemic. We believe that the recalibration of HPR, due to what one would hope is an impermanent change, will permanently change how we conduct HPR in the future.
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Affiliation(s)
- Manraj N Kaur
- Patient-Reported Outcomes, Value and Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA.
| | - Richard L Skolasky
- Departments of Orthopedic Surgery and Physical Medicine & Rehabilitation, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Philip A Powell
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Feng Xie
- Department of Health Research Methods, Evidence, and Impact, and Centre for Health Economics and Policy Analysis, McMaster University, Hamilton, ON, Canada
| | - I-Chan Huang
- Department of Epidemiology and Cancer Control, and Comprehensive Cancer Center, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Ayse Kuspinar
- School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada
| | - John L O'Dwyer
- Academic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Amy M Cizik
- Department of Orthopedics, University of Utah, Salt Lake City, UT, USA
| | - Donna Rowen
- School of Health and Related Research, University of Sheffield, Sheffield, UK
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24
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Osman AMY, Wu J, He X, Chen G. Eliciting SF-6Dv2 health state utilities using an anchored best-worst scaling technique. Soc Sci Med 2021; 279:114018. [PMID: 33993008 DOI: 10.1016/j.socscimed.2021.114018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 10/21/2022]
Abstract
There is an increasing interest in using ordinal data collection methods, such as the best-worst scaling (BWS), to develop preference-based tariffs (value sets) for health-related quality of life instruments, yet the evidence on their performance is limited. This paper proposed to use an anchored BWS technique (in which the state of "death" served as an anchoring state) to directly develop a utility weight that lies on a scale anchored at 0 = death and 1 = full health for the Simplified Chinese version of the Short Form 6 Dimension version 2 (SF-6Dv2). An online panel from the general population of Mainland China completed an online survey between 20th July and 19th August, 2019 and 463 respondents were included in the main analysis. The Conditional Logit (CL) model, which assumes a homogeneous preference, as well as a Hierarchical Bayes (HB) model, which accounts for preference heterogeneity, were used to analyze the BWS data. The model performances were evaluated based on monotonicity and model-fit statistics. The majority of respondents indicated that the BWS questions were easy to understand and complete. Initial analyses suggested that the best and worst choices should not be pooled together. Based on model fit statistics of separated estimations and previous literature on health state valuation studies using BWS, the best choices were used for developing the final algorithm. The HB estimates were found to have better model performance than the CL estimates. This study provides an essential insight into using an anchored BWS approach in health state valuation. Furthermore, it demonstrates the advantage of using HB compared to the traditional CL model in producing preference values.
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Affiliation(s)
- Ahmed M Y Osman
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, PR China; Center for Social Science Survey and Data, Tianjin University, Tianjin, PR China.
| | - Jing Wu
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, PR China; Center for Social Science Survey and Data, Tianjin University, Tianjin, PR China.
| | - Xiaoning He
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, PR China; Center for Social Science Survey and Data, Tianjin University, Tianjin, PR China.
| | - Gang Chen
- Centre for Health Economics, Monash Business School, Monash University, Caulfield East, Victoria, Australia.
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25
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An Assessment of the Validity and Reliability of the Pediatric Child Health Utility 9D in Children with Inflammatory Bowel Disease. CHILDREN-BASEL 2021; 8:children8050343. [PMID: 33925356 PMCID: PMC8146594 DOI: 10.3390/children8050343] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/15/2021] [Accepted: 04/23/2021] [Indexed: 12/03/2022]
Abstract
Health utilities relevant to children are lacking, compromising health funding and policy decisions for children. The Child Health Utility 9D (CHU9D) is a recently developed preference-based health utility instrument designed for use in children. The objective was to examine the validity of the CHU9D in a cohort of 285 Canadian children aged 6.5 to 18 years of age with Crohn’s disease (CD) and ulcerative colitis (UC), (collectively inflammatory bowel disease (IBD)). The correlation and agreement between paired CHU9D and Health Utility Index (HUI) assessments were determined with Spearman coefficients and Bland–Altman levels of agreement. Total and domain utilities were calculated for the CHU9D using Australian adult and youth tariffs. Algorithms for HUI2 and HUI3 were used. Domain correlations were determined between domains with expected overlap between instruments. In CD and in UC, correlations between CHU9D, HUI2, and HUI3 utilities ranged between 0.62 to 0.67 and 0.67 to 0.69, respectively (p < 0.05). CHU9D utilities were lower using youth tariffs compared to adult tariffs. A large range in health utilities suggested a heterogeneous quality of life. The CHU9D is a good option for preference-based utility measurement in pediatric IBD. Additional research is required to derive pediatric tariffs to conduct economic evaluation in children.
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26
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Montero-Marin J, Nuthall E, Byford S, Crane C, Dalgleish T, Ford T, Ganguli P, Greenberg MT, Ukoumunne OC, Viner RM, Williams JMG, Kuyken W. Update to the effectiveness and cost-effectiveness of a mindfulness training programme in schools compared with normal school provision (MYRIAD): study protocol for a randomised controlled trial. Trials 2021; 22:254. [PMID: 33827652 PMCID: PMC8024679 DOI: 10.1186/s13063-021-05213-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 03/20/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND MYRIAD (My Resilience in Adolescence) is a superiority, parallel group, cluster randomised controlled trial designed to examine the effectiveness and cost-effectiveness of a mindfulness training (MT) programme, compared with normal social and emotional learning (SEL) school provision to enhance mental health, social-emotional-behavioural functioning and well-being in adolescence. The original trial protocol was published in Trials (accessible at https://doi.org/10.1186/s13063-017-1917-4 ). This included recruitment in two cohorts, enabling the learning from the smaller first cohort to be incorporated in the second cohort. Here we describe final amendments to the study protocol and discuss their underlying rationale. METHODS Four major changes were introduced into the study protocol: (1) there were changes in eligibility criteria, including a clearer operational definition to assess the degree of SEL implementation in schools, and also new criteria to avoid experimental contamination; (2) the number of schools and pupils that had to be recruited was increased based on what we learned in the first cohort; (3) some changes were made to the secondary outcome measures to improve their validity and ability to measure constructs of interest and to reduce the burden on school staff; and (4) the current Coronavirus Disease 2019 (SARS-CoV-2 or COVID-19) pandemic both influences and makes it difficult to interpret the 2-year follow-up primary endpoint results, so we changed our primary endpoint to 1-year follow-up. DISCUSSION These changes to the study protocol were approved by the Trial Management Group, Trial Steering Committee and Data and Ethics Monitoring Committees and improved the enrolment of participants and quality of measures. Furthermore, the change in the primary endpoint will give a more reliable answer to our primary question because it was collected prior to the COVID-19 pandemic in both cohort 1 and cohort 2. Nevertheless, the longer 2-year follow-up data will still be acquired, although this time-point will be now framed as a second major investigation to answer some new important questions presented by the combination of the pandemic and our study design. TRIAL REGISTRATION International Standard Randomised Controlled Trials ISRCTN86619085 . Registered on 3 June 2016.
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Affiliation(s)
- Jesus Montero-Marin
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Elizabeth Nuthall
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Sarah Byford
- Kings Health Economics, Kings College London, London, UK
| | - Catherine Crane
- Oxford Institute of Clinical Psychology Training, Warneford Hospital, Oxford, UK
| | - Tim Dalgleish
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Tamsin Ford
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | | | - Mark T. Greenberg
- Prevention Research Center, Pennsylvania State University, State College, PA USA
| | - Obioha C. Ukoumunne
- NIHR ARC South West Peninsula (PenARC), University of Exeter Medical School, Exeter, UK
| | | | - J. Mark G. Williams
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Willem Kuyken
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
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27
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Montero-Marin J, Nuthall E, Byford S, Crane C, Dalgleish T, Ford T, Ganguli P, Greenberg MT, Ukoumunne OC, Viner RM, Williams JMG, Kuyken W. Update to the effectiveness and cost-effectiveness of a mindfulness training programme in schools compared with normal school provision (MYRIAD): study protocol for a randomised controlled trial. Trials 2021. [PMID: 33827652 DOI: 10.1186/s13063-021-05213-9--] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND MYRIAD (My Resilience in Adolescence) is a superiority, parallel group, cluster randomised controlled trial designed to examine the effectiveness and cost-effectiveness of a mindfulness training (MT) programme, compared with normal social and emotional learning (SEL) school provision to enhance mental health, social-emotional-behavioural functioning and well-being in adolescence. The original trial protocol was published in Trials (accessible at https://doi.org/10.1186/s13063-017-1917-4 ). This included recruitment in two cohorts, enabling the learning from the smaller first cohort to be incorporated in the second cohort. Here we describe final amendments to the study protocol and discuss their underlying rationale. METHODS Four major changes were introduced into the study protocol: (1) there were changes in eligibility criteria, including a clearer operational definition to assess the degree of SEL implementation in schools, and also new criteria to avoid experimental contamination; (2) the number of schools and pupils that had to be recruited was increased based on what we learned in the first cohort; (3) some changes were made to the secondary outcome measures to improve their validity and ability to measure constructs of interest and to reduce the burden on school staff; and (4) the current Coronavirus Disease 2019 (SARS-CoV-2 or COVID-19) pandemic both influences and makes it difficult to interpret the 2-year follow-up primary endpoint results, so we changed our primary endpoint to 1-year follow-up. DISCUSSION These changes to the study protocol were approved by the Trial Management Group, Trial Steering Committee and Data and Ethics Monitoring Committees and improved the enrolment of participants and quality of measures. Furthermore, the change in the primary endpoint will give a more reliable answer to our primary question because it was collected prior to the COVID-19 pandemic in both cohort 1 and cohort 2. Nevertheless, the longer 2-year follow-up data will still be acquired, although this time-point will be now framed as a second major investigation to answer some new important questions presented by the combination of the pandemic and our study design. TRIAL REGISTRATION International Standard Randomised Controlled Trials ISRCTN86619085 . Registered on 3 June 2016.
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Affiliation(s)
- Jesus Montero-Marin
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Elizabeth Nuthall
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Sarah Byford
- Kings Health Economics, Kings College London, London, UK
| | - Catherine Crane
- Oxford Institute of Clinical Psychology Training, Warneford Hospital, Oxford, UK
| | - Tim Dalgleish
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Tamsin Ford
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | | | - Mark T Greenberg
- Prevention Research Center, Pennsylvania State University, State College, PA, USA
| | - Obioha C Ukoumunne
- NIHR ARC South West Peninsula (PenARC), University of Exeter Medical School, Exeter, UK
| | | | - J Mark G Williams
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | | | - Willem Kuyken
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.
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Shiroiwa T, Ikeda S, Noto S, Fukuda T, Stolk E. Valuation Survey of EQ-5D-Y Based on the International Common Protocol: Development of a Value Set in Japan. Med Decis Making 2021; 41:597-606. [PMID: 33754886 PMCID: PMC8191148 DOI: 10.1177/0272989x211001859] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND EQ-5D-Y is a preference-based measure for children and adolescents (aged 8-15 y). This is the first study to develop an EQ-5D-Y value set for converting EQ-5D-Y responses to index values. METHODS We recruited 1047 respondents (aged 20-79 y) from the general population, stratified by gender and age group, in 5 Japanese cities. All data were collected through face-to-face surveys. Respondents were asked to value EQ-5D-Y states for a hypothetical 10-y-old child from a proxy perspective using composite time tradeoff (cTTO) and a discrete choice experiment (DCE). The discrete choice data were analyzed using a mixed logit model. Latent DCE values were then converted to a 0 (death)/1 (full health) scale by mapping them to the cTTO values. RESULTS The mean observed cTTO value of the worst health state [33333] was 0.20. Analysis of the DCE data showed that the coefficients of the domains related to mental functions ("Having pain or discomfort" and "Feeling worried, sad, or unhappy") were larger than those for the domains related to physical and social functions. By converting latent DCE values to a utility scale, we constructed a value set for EQ-5D-Y. No inconsistencies were observed. The minimum predicted score was 0.288 [33333], and the second-best score was 0.957 [12111]. CONCLUSION A value set for EQ-5D-Y was successfully constructed. This is the first survey of an EQ-5D-Y value set. Interpreting the differences between EQ-5D-Y and EQ-5D-5L value sets is a future task with implications for health care policy.
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Affiliation(s)
- Takeru Shiroiwa
- Center for Outcomes Research and Economic Evaluation for Health (C2H), National Institute of Public Health, Wako, Saitama, Japan
| | - Shunya Ikeda
- Department of Medicine, International University of Health and Welfare, Narita, Chiba, Japan
| | - Shinichi Noto
- Department of Health Sciences, Niigata University of Health and Welfare, Niigata, Japan
| | - Takashi Fukuda
- Center for Outcomes Research and Economic Evaluation for Health (C2H), National Institute of Public Health, Wako, Saitama, Japan
| | - Elly Stolk
- EuroQol Research Foundation, Rotterdam, South Holland, The Netherlands
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Mott DJ, Shah KK, Ramos-Goñi JM, Devlin NJ, Rivero-Arias O. Valuing EQ-5D-Y-3L Health States Using a Discrete Choice Experiment: Do Adult and Adolescent Preferences Differ? Med Decis Making 2021; 41:584-596. [PMID: 33733920 PMCID: PMC8191173 DOI: 10.1177/0272989x21999607] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background An important question in the valuation of children’s health is whether the preferences of younger individuals should be captured within value sets for measures that are aimed at them. This depends on whether younger individuals can complete valuation exercises and whether their preferences differ from those of adults. This study compared the preferences of adults and adolescents for EQ-5D-Y-3L health states using latent scale values elicited from a discrete choice experiment (DCE). Methods An online DCE survey, comprising 15 pairwise choices, was provided to samples of UK adults and adolescents (aged 11–17 y). Adults considered the health of a 10-year-old child, whereas adolescents considered their own health. Mixed logit models were estimated, and comparisons were made using relative attribute importance (RAI) scores and a pooled model. Results In total, 1000 adults and 1005 adolescents completed the survey. For both samples, level 3 in pain/discomfort was most important, and level 2 in self-care the least important, based on the relative magnitudes of coefficients. The RAI scores (normalized on self-care) indicated that adolescents gave less weight relative to adults to usual activities (1.18 v. 1.51; P < 0.05), pain/discomfort (1.77 v. 3.12; P < 0.01), and anxiety/depression (1.64 vs. 2.65; P < 0.01). The pooled model indicated evidence of differences between the two samples in both levels in pain/discomfort and anxiety/depression. Limitations The perspective of the DCE task differed between the 2 samples, and no data were collected to anchor the DCE data to generate value sets. Conclusions Adolescents could complete the DCE, and their preferences differed from those of adults taking a child perspective. It is important to consider whether their preferences should be incorporated into value sets.
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Affiliation(s)
| | - Koonal K Shah
- Office of Health Economics, London, UK.,PHMR, London, UK
| | | | - Nancy J Devlin
- Office of Health Economics, London, UK.,Melbourne School of Population and Global Health, University of Melbourne, Australia
| | - Oliver Rivero-Arias
- National Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
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30
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Sakzewski L, Reedman S, McLeod K, Thorley M, Burgess A, Trost S, Ahmadi M, Rowell D, Chatfield M, Bleyenheuft Y, Boyd RN. Preschool HABIT-ILE: study protocol for a randomised controlled trial to determine efficacy of intensive rehabilitation compared with usual care to improve motor skills of children, aged 2-5 years, with bilateral cerebral palsy. BMJ Open 2021; 11:e041542. [PMID: 33653745 PMCID: PMC7929797 DOI: 10.1136/bmjopen-2020-041542] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Young children with bilateral cerebral palsy (BCP) often experience difficulties with gross motor function, manual ability and posture, impacting developing independence in daily life activities, participation and quality of life. Hand Arm Bimanual Intensive Training Including Lower Extremity (HABIT-ILE) is a novel intensive motor intervention integrating upper and lower extremity training that has been developed and tested in older school-aged children with unilateral and BCP. This study aims to compare an adapted preschool version of HABIT-ILE to usual care in a randomised controlled trial. METHODS AND ANALYSIS 60 children with BCP aged 2-5 years, Gross Motor Function Classification System (GMFCS) II-IV will be recruited. Children will be stratified by GMFCS and randomised using concealed allocation to either receive Preschool HABIT-ILE or usual care. Preschool HABIT-ILE will be delivered in groups of four to six children, for 3 hours/day for 10 days (total 30 hours). Children receiving Preschool HABIT-ILE be provided a written home programme with the aim of achieving an additional 10 hours of home practice (total dose 40 hours). Outcomes will be assessed at baseline, immediately following intervention and then retention of effects will be tested at 26 weeks. The primary outcome will be the Peabody Developmental Motors Scales-Second Edition to evaluate gross and fine motor skills. Secondary outcomes will be gross motor function (Gross Motor Function Measure-66), bimanual hand performance (Both Hands Assessment), self-care and mobility (Pediatric Evaluation of Disability Inventory-Computer Adapted Test), goal attainment (Canadian Occupational Performance Measure), global performance of daily activities (ACTIVLIM-CP), cognition and adaptive function (Behavior Rating Inventory of Executive Function-Preschool Version), habitual physical activity (ActiGraph GT3X+) and quality of life (Infant Toddler Quality of Life Questionnaire and Child Health Utility Index-9). Analyses will follow standard principles for RCTs using two-group comparisons on all participants on an intention-to-treat basis. Comparisons between groups for primary and secondary outcomes will be conducted using regression models. ETHICS AND DISSEMINATION Ethics approval has been granted by the Medical Research Ethics Committee Children's Health Queensland Hospital and Health Service Human Research Ethics Committee (HREC/19/QCHQ/59444) and The University of Queensland (2020000336/HREC/19/QCHQ/59444). TRIAL REGISTRATION NUMBER ACTRN126200000719.
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Affiliation(s)
- Leanne Sakzewski
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, The University of Queensland Faculty of Medicine, Herston, Queensland, Australia
| | - Sarah Reedman
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, The University of Queensland Faculty of Medicine, Herston, Queensland, Australia
| | - Kate McLeod
- Queensland Paediatric Rehabilitation Service, Queensland Children's Hospital, South Brisbane, Queensland, Australia
| | - Megan Thorley
- Queensland Paediatric Rehabilitation Service, Queensland Children's Hospital, South Brisbane, Queensland, Australia
| | - Andrea Burgess
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, The University of Queensland Faculty of Medicine, Herston, Queensland, Australia
| | - Stewart Trost
- Institute of Health and Biomedical Innovation, Centre for Children's Health Research, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Matthew Ahmadi
- Faculty of Medicine and Health, School of Health Sciences, Charles Perkins Centre, Camperdown, New South Wales, Australia
| | - David Rowell
- Faculty of Business, Economics and Law, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Mark Chatfield
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, The University of Queensland Faculty of Medicine, Herston, Queensland, Australia
| | - Yannick Bleyenheuft
- Institute of Neuroscience, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Roslyn N Boyd
- Queensland Cerebral Palsy and Rehabilitation Research Centre, Child Health Research Centre, The University of Queensland Faculty of Medicine, Herston, Queensland, Australia
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31
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Rowen D, Keetharuth AD, Poku E, Wong R, Pennington B, Wailoo A. A Review of the Psychometric Performance of Selected Child and Adolescent Preference-Based Measures Used to Produce Utilities for Child and Adolescent Health. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2021; 24:443-460. [PMID: 33641779 DOI: 10.1016/j.jval.2020.09.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 09/08/2020] [Accepted: 09/25/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE This review examined the psychometric performance of 4 generic child- and adolescent-specific preference-based measures that can be used to produce utilities for child and adolescent health. METHODS A systematic search was undertaken to identify studies reporting the psychometric performance of the Child Health Utility (CHU9D), EQ-5D-Y (3L or 5L), and Health Utilities Index Mark 2 (HUI2) or Mark 3 (HUI3) in children and/or adolescents. Data were extracted to assess known-group validity, convergent validity, responsiveness, reliability, acceptability, and feasibility. Data were extracted separately for the dimensions and utility index where this was reported. RESULTS The review included 76 studies (CHU9D n = 12, EQ-5D-Y-3L n = 20, HUI2 n = 26,HUI3 n = 43), which varied considerably across conditions and sample size. EQ-5D-Y-3L had the largest amount of evidence of good psychometric performance in proportion to the number of studies examining performance. The majority of the evidence related to EQ-5D-Y-3L was based on dimensions. CHU9D was assessed in fewer studies, but the majority of studies found evidence of good psychometric performance. Evidence for HUI2 and HUI3 was more mixed, but the studies were more limited in sample size and statistical power, which was likely to have affected performance. CONCLUSIONS The heterogeneity of published studies means that the evidence is based on studies across a range of countries, populations and conditions, using different study designs, different languages, different value sets and different statistical techniques. Evidence for CHU9D in particular is based on a limited number of studies. The findings raise concerns about the comparability of self-report and proxy-report responses to generate utility values for children and adolescents.
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Affiliation(s)
- Donna Rowen
- School of Health and Related Research, University of Sheffield, Sheffield, England, UK.
| | - Anju D Keetharuth
- School of Health and Related Research, University of Sheffield, Sheffield, England, UK
| | - Edith Poku
- School of Health and Related Research, University of Sheffield, Sheffield, England, UK
| | - Ruth Wong
- School of Health and Related Research, University of Sheffield, Sheffield, England, UK
| | - Becky Pennington
- School of Health and Related Research, University of Sheffield, Sheffield, England, UK
| | - Allan Wailoo
- School of Health and Related Research, University of Sheffield, Sheffield, England, UK
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32
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Adding the Coping Power Programme to parent management training: the cost-effectiveness of stacking interventions for children with disruptive behaviour disorders. Eur Child Adolesc Psychiatry 2021; 30:1603-1614. [PMID: 32924086 PMCID: PMC8505382 DOI: 10.1007/s00787-020-01638-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 09/01/2020] [Indexed: 02/07/2023]
Abstract
Parent management training (PMT) programmes and child cognitive behavioural therapy are recommended approaches for treatment of oppositional defiant disorder in children, and combining these may be effective. However, little is known regarding the economic efficiency of this additive effect. A within-trial cost-effectiveness analysis was carried out in Sweden including 120 children aged 8-12 who screened positive for disruptive behaviour disorders, within a psychiatric care setting, and their parents. They were randomly assigned to either the Swedish group-based PMT Comet, or to an enhanced version, where an additional child component was provided, the Coping Power Programme (CPP). Child behaviour problems as well as healthcare and educational resource use were measured at baseline, post-test and at two-year follow-up. A net benefit regression framework was used to estimate differences in costs and health outcomes between the two intervention arms during the two-year period. Comet with CPP cost on average 820 EURO more per family than Comet only. At the 2-year follow-up, there were 37% recovered cases of ODD in Comet with CPP, in comparison to 26% in the Comet only arm. At a willingness-to-pay of approximately 62,300 EURO per recovered case of ODD, Comet with CPP yielded positive net benefits, in comparison to Comet only. Offering children the CPP simultaneously as their parents receive PMT, in comparison to only providing PMT, yields clinically relevant gains. Despite the relatively small cost for CPP, investment in combining PMT and CPP should be guided by resource prioritisation. Trial registration number: ISRCTN10834473, date of registration: 23/12/2015.
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33
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Retra JGA, Essers BAB, Joore MA, Evers SMAA, Dirksen CD. Age dependency of EQ-5D-Youth health states valuations on a visual analogue scale. Health Qual Life Outcomes 2020; 18:386. [PMID: 33308228 PMCID: PMC7733269 DOI: 10.1186/s12955-020-01638-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 12/03/2020] [Indexed: 11/24/2022] Open
Abstract
Background Examine whether the use of different ages has an impact on the valuation of EQ-5D-Y health states for a hypothetical child or adolescent. Methods A survey was administered during regular classes among a convenience sample of university students in the Netherlands. Respondents first valued 6 EQ-5D-Y health states (2 mild, 2 moderate, 2 severe) describing a hypothetical child/adolescent of a certain age on a visual analogue scale (VAS). After 1 h respondents valued the same six health states again but this time the age of the child was different. Age differed between 4, 10 and 16 year old. Results Number of respondents was 311. No significant differences in valuation of the six health states were found between the age of 10 and 16. One moderate health state was valued significantly better for a 4-year old compared to a 10 and a 16 year old. The same applied for one severe health state that was valued higher for a 4-year old compared to a 16-year old. Conclusion Our study shows that, except for one moderate and one severe health state, other EQ-5D-Y health states were not valued significantly different when description of age differed. It is possible that problems in specific health domains are considered more severe for older children/adolescents compared to younger children who might still be dependent on their caregivers. Future research should examine whether our findings are also present in a broader set of EQ-5D-Y health states, with a choice-based method like TTO or DCE, and a more heterogeneous sample.
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Affiliation(s)
- Jim G A Retra
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Brigitte A B Essers
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Manuela A Joore
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, The Netherlands.,Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
| | - Silvia M A A Evers
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.,Trimbos Institute, Netherlands Institute for Mental Health and Addiction, Utrecht, The Netherlands
| | - Carmen D Dirksen
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, Maastricht, The Netherlands.,Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands
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Howard K, Anderson K, Cunningham J, Cass A, Ratcliffe J, Whop LJ, Dickson M, Viney R, Mulhern B, Tong A, Garvey G. What Matters 2 Adults: a study protocol to develop a new preference-based wellbeing measure with Aboriginal and Torres Strait Islander adults (WM2Adults). BMC Public Health 2020; 20:1739. [PMID: 33203391 PMCID: PMC7672853 DOI: 10.1186/s12889-020-09821-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 11/03/2020] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Understandings of health and wellbeing are culturally bound. Many Aboriginal and Torres Strait Islander people perceive wellbeing and quality of life (QOL) differently from the Western biomedical models of health underpinning existing QOL instruments. Any instrument to measure the wellbeing of Aboriginal and Torres Strait Islander people should be culturally appropriate and safe, include relevant dimensions, and be informed by their own values and preferences. Existing QOL instruments do not meet these standards. This study will generate a new preference-based wellbeing measure, WM2Adults, for Aboriginal and Torres Strait Islander adults, underpinned by their values and preferences. METHODS A mixed methods approach will be used; we will employ decolonising methodologies, privilege Aboriginal and Torres Strait Islander voices and perspectives, and adopt a strengths-based approach rather than a deficit lens. Yarning Circles will be conducted with Aboriginal and Torres Strait Islander people across Australia. A candidate item pool will be developed from these data, on which psychometric analysis and validity testing will be undertaken to develop a descriptive system. Following finalisation of the descriptive system, wellbeing states will be valued using a quantitative preference-based approach (best-worst scaling) with a diverse sample of Aboriginal and Torres Strait Islander adults (n = 1000). A multinomial (conditional) logit framework will be used to analyse responses and generate a scoring algorithm for the new preference-based WM2Adults measure. DISCUSSION The new wellbeing measure will have wide applicability in assessing the effectiveness and cost-effectiveness of new programs and services for Aboriginal and Torres Strait Islander people. Results will be disseminated through journals, conferences and policy forums, and will be shared with Aboriginal and Torres Strait Islander communities, organisations and research participants.
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Affiliation(s)
- Kirsten Howard
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
| | - Kate Anderson
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | - Joan Cunningham
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | - Alan Cass
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | - Julie Ratcliffe
- Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Adelaide, Australia
| | - Lisa J Whop
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia
| | - Michelle Dickson
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Rosalie Viney
- Centre for Health Economics Research and Evaluation, UTS Business School, University of Technology Sydney, Sydney, Australia
| | - Brendan Mulhern
- Centre for Health Economics Research and Evaluation, UTS Business School, University of Technology Sydney, Sydney, Australia
| | - Allison Tong
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Gail Garvey
- Menzies School of Health Research, Charles Darwin University, Darwin, Australia
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Qi S, Qin Z, Wang N, Tse LA, Qiao H, Xu F. Association of academic performance, general health with health-related quality of life in primary and high school students in China. Health Qual Life Outcomes 2020; 18:339. [PMID: 33046101 PMCID: PMC7552487 DOI: 10.1186/s12955-020-01590-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Accepted: 10/01/2020] [Indexed: 11/21/2022] Open
Abstract
Purpose To explore the association of academic performance and general health status with health-related quality of life (HRQoL) in school-aged children and adolescents in China. Methods In this cross-sectional study conducted in 2018, students (grade 4–12) were randomly chosen from primary and high schools in Nanjing, China. HRQoL, the outcome measure, was recorded using the Child Health Utility 9D, while self-rated academic performance and general health were the independent variables. Mixed-effects regression models were applied to compute mean difference (MD) and 95% confidence interval (CI) of HRQoL utility score between students with different levels of academic performance and general health. Results Totally, 4388 participants completed the study, with a response rate of 97.6%. The mean HRQoL utility score was 0.78 (SD: 0.17). After adjustment for socio-demographic attributes, physical activity, sedentary behavior, dietary patterns, body weight status and class-level clustering effects, students with fair (MD = 0.048, 95% CI 0.019, 0.078) and good (MD = 0.082, 95% CI 0.053, 0.112) self-rated academic performance reported higher HRQoL utility scores than those with poor academic performance, respectively. Meanwhile, students with fair (MD = 0.119, 95% CI 0.083, 0.154) and good (MD = 0.183, 95% CI 0.148, 0.218) self-assessed general health also recorded higher HRQoL utility scores than those with poor health, separately. Consistent findings were observed for participants by gender, school type and residential location. Conclusions Both self-rated academic performance and general health status were positively associated with HRQoL among Chinese students, and such relationships were independent of lifestyle-related behaviors and body weight status.
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Affiliation(s)
- Shengxiang Qi
- Nanjing Municipal Center for Disease Control and Prevention, 2, Zizhulin, Nanjing, 210003, China
| | - Zhenzhen Qin
- Nanjing Municipal Center for Disease Control and Prevention, 2, Zizhulin, Nanjing, 210003, China
| | - Na Wang
- Nanjing Municipal Center for Disease Control and Prevention, 2, Zizhulin, Nanjing, 210003, China
| | - Lap Ah Tse
- School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Huifen Qiao
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, 264, Guangzhou Road, Nanjing, 210029, China.
| | - Fei Xu
- Nanjing Municipal Center for Disease Control and Prevention, 2, Zizhulin, Nanjing, 210003, China. .,Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.
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36
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Hay AD, Downing H, Francis NA, Young GJ, Clement C, Harris SD, Ahern A, Schofield B, Thomas TE, Horwood J, Blair PS, Hollingworth W, Wilson V, Metcalfe C, Stoddart P, Nunez D, Lyttle MD, Little P, Moore MV. Anaesthetic-analgesic ear drops to reduce antibiotic consumption in children with acute otitis media: the CEDAR RCT. Health Technol Assess 2020; 23:1-48. [PMID: 31304912 DOI: 10.3310/hta23340] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Acute otitis media (AOM) is a common reason for primary care consultations and antibiotic prescribing in children. Options for improved pain control may influence antibiotic prescribing and consumption. OBJECTIVE The Children's Ear Pain Study (CEDAR) investigated whether or not providing anaesthetic-analgesic ear drops reduced antibiotic consumption in children with AOM. Secondary objectives included pain control and cost-effectiveness. DESIGN A multicentre, randomised, parallel-group (two-group initially, then three-group) trial. SETTING Primary care practices in England and Wales. PARTICIPANTS 1- to 10-year-old children presenting within 1 week of suspected AOM onset with ear pain during the preceding 24 hours and not requiring immediate antibiotics. Participating children were logged into the study and allocated using a remote randomisation service. INTERVENTIONS Two-group trial - unblinded comparison of anaesthetic-analgesic ear drops versus usual care. Three-group trial - blinded comparison of anaesthetic-analgesic ear drops versus placebo ear drops and unblinded comparison with usual care. MAIN OUTCOME MEASURES The primary outcome measure was parent-reported antibiotic use by the child over 8 days following enrolment. Secondary measures included ear pain at day 2 and NHS and societal costs over 8 days. RESULTS Owing to a delay in provision of the placebo drops, the recruitment period was shortened and most participants were randomly allocated to the two-group study (n = 74) rather than the three-group study (n = 32). Comparing active drops with usual care in the combined two-group and three-group studies, 1 out of 39 (3%) children allocated to the active drops group and 11 out of 38 (29%) children allocated to the usual-care group consumed antibiotics in the 8 days following enrolment [unadjusted odds ratio 0.09, 95% confidence interval (CI) 0.02 to 0.55; p = 0.009; adjusted for delayed prescribing odds ratio 0.15, 95% CI 0.03 to 0.87; p = 0.035]. A total of 43% (3/7) of patients in the placebo drops group consumed antibiotics by day 8, compared with 0% (0/10) of the three-group study active drops groups (p = 0.051). The economic analysis of NHS costs (£12.66 for active drops and £11.36 for usual care) leads to an estimated cost of £5.19 per antibiotic prescription avoided, but with a high degree of uncertainty. A reduction in ear pain at day 2 in the placebo group (n = 7) compared with the active drops group (n = 10) (adjusted difference in means 0.67, 95% CI -1.44 to 2.79; p = 0.51) is consistent with chance. No adverse events were reported in children receiving active drops. LIMITATIONS Estimated treatment effects are imprecise because the sample size target was not met. It is not clear if delayed prescriptions of an antibiotic were written prior to randomisation. Few children received placebo drops, which hindered the investigation of ear pain. CONCLUSIONS This study suggests that reduced antibiotic use can be achieved in children with AOM by combining a no or delayed antibiotic prescribing strategy with anaesthetic-analgesic ear drops. Whether or not the active drops relieved ear pain was not established. FUTURE WORK The observed reduction in antibiotic consumption following the prescription of ear drops requires replication in a larger study. Future work should establish if the effect of ear drops is due to pain relief. TRIAL REGISTRATION Current Controlled Trials ISRCTN09599764. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 34. See the NIHR Journals Library website for further project information. Alastair D Hay was funded by a NIHR Research Professorship (funding identifier NIHR-RP-02-12-012).
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Affiliation(s)
- Alastair D Hay
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Harriet Downing
- National Institute for Health Research Biomedical Research Centre, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Nick A Francis
- Division of Population Medicine, Cardiff University, Cardiff, UK
| | - Grace J Young
- Bristol Randomised Trials Collaboration, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Clare Clement
- Bristol Randomised Trials Collaboration, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Sue D Harris
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Aideen Ahern
- Bristol Randomised Trials Collaboration, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Behnaz Schofield
- Division of Population Medicine, Cardiff University, Cardiff, UK
| | - Tammy E Thomas
- Primary Care and Population Sciences, University of Southampton, Southampton, UK
| | - Jeremy Horwood
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.,Bristol Randomised Trials Collaboration, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Peter S Blair
- Bristol Randomised Trials Collaboration, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - William Hollingworth
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Victoria Wilson
- Centre for Academic Primary Care, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Chris Metcalfe
- Bristol Randomised Trials Collaboration, Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | | | - Desmond Nunez
- Division of Otolaryngology, Department of Surgery, University of British Columbia, Vancouver, BC, Canada
| | | | - Paul Little
- Primary Care and Population Sciences, University of Southampton, Southampton, UK
| | - Michael V Moore
- Primary Care and Population Sciences, University of Southampton, Southampton, UK
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Bahrampour M, Byrnes J, Norman R, Scuffham PA, Downes M. Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2020; 21:983-992. [PMID: 32367379 DOI: 10.1007/s10198-020-01189-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 04/15/2020] [Indexed: 05/19/2023]
Abstract
OBJECTIVES In recent years, discrete choice experiments (DCEs) have become frequently used to generate utility values, but there are a diverse range of approaches to do this. The primary focus of this systematic review is to summarise the methods used for the design and analysis of DCEs when estimating utility values in both generic and condition-specific preference-based measures. METHODS Published literature using DCEs to estimate utility values from preference-based instruments were identified from MEDLINE, Embase, Cochrane Library and CINAHL using PRISMA guidelines. To assess the different DCE methods, standardised information was extracted from the articles including the DCE design method, the number of choice sets, the number of DCE pairs per person, randomisation of questions, analysis method, logical consistency tests and techniques for anchoring utilities. The CREATE checklist was used to assess the quality of the studies. RESULTS A total of 38 studies with samples from the general population, students and patients were included. Values for health states described using generic multi attribute instruments (MAUIs) (especially the EQ-5D) were the most commonly explored using DCEs. The studies showed considerable methodology and design diversity (number of alternatives, attributes, sample size, choice task presentation and analysis). Despite these differences, the quality of articles reporting the methods used for the DCE was generally high. CONCLUSION DCEs are an important approach to measure utility values for both generic and condition-specific instruments. However, a gold standard method cannot yet be recommended.
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Affiliation(s)
- Mina Bahrampour
- Centre for Applied Health Economics, School of Medicine and Menzies Health Institute Queensland, Griffith University, Nathan, QLD, Australia.
| | - Joshua Byrnes
- Centre for Applied Health Economics, School of Medicine and Menzies Health Institute Queensland, Griffith University, Nathan, QLD, Australia
| | - Richard Norman
- School of Public Health, Curtin University, Perth, WA, Australia
| | - Paul A Scuffham
- Centre for Applied Health Economics, School of Medicine and Menzies Health Institute Queensland, Griffith University, Nathan, QLD, Australia
| | - Martin Downes
- Centre for Applied Health Economics, School of Medicine and Menzies Health Institute Queensland, Griffith University, Nathan, QLD, Australia
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Pan CW, Zhong H, Li J, Suo C, Wang P. Measuring health-related quality of life in elementary and secondary school students using the Chinese version of the EQ-5D-Y in rural China. BMC Public Health 2020; 20:982. [PMID: 32571279 PMCID: PMC7310053 DOI: 10.1186/s12889-020-09116-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 06/15/2020] [Indexed: 11/27/2022] Open
Abstract
Background To measure health-related quality of life (HRQOL) of elementary and secondary school students in rural China using the simplified Chinese version of the EQ-5D-Y. Method Both the samples of students were from a school-based cohort study in a county located in southwestern China. The students self-completed the EQ-5D-Y. Feasibility was evaluated according to the percentages of missing values. Known group validity was assessed by comparing the frequency of reporting EQ-5D-Y problems between groups known to differ in health status. Results A total of 1728 elementary students and 2116 secondary students were included in the analysis. Their respective mean age was 8.7 (range: 7–15) years and 14.8 (range: 11–18) years, with girls being 45.1 and 50.1%, respectively. The missing values in both samples were quite low. Elementary students were less likely to have problems on‘having pain or discomfort’ and ‘feeling worried, sad or unhappy’ dimensions, but more likely to report problems on the dimensions related to physical functioning. Gender difference in HRQOL was only detected for secondary students in terms of ‘doing usual activities’, ‘having pain or discomfort,’ and ‘feeling worried, sad or unhappy’ (P < 0.05 for all). The significant differences in HRQOL were not observed for the other characteristics. Conclusions It appears that the EQ-5D-Y is feasible and valid instrument in school-aged children and adolescents in rural China; but it suffers from similar disadvantages to those found in other general populations. The HRQOL distributions measured by the EQ-5D-Y were also provided.
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Affiliation(s)
- Chen-Wei Pan
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Hua Zhong
- Department of Ophthalmology, the First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jun Li
- Department of Ophthalmology, the Second People's Hospital of Yunnan Province, Kunming, China
| | - Chen Suo
- School of Public Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China
| | - Pei Wang
- School of Public Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China. .,Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, China.
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Rowen D, Rivero-Arias O, Devlin N, Ratcliffe J. Review of Valuation Methods of Preference-Based Measures of Health for Economic Evaluation in Child and Adolescent Populations: Where are We Now and Where are We Going? PHARMACOECONOMICS 2020; 38:325-340. [PMID: 31903522 DOI: 10.1007/s40273-019-00873-7] [Citation(s) in RCA: 85] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Methods for measuring and valuing health benefits for economic evaluation and health technology assessment in adult populations are well developed. In contrast, methods for assessing interventions for child and adolescent populations lack detailed guidelines, particularly regarding the valuation of health and quality of life in these age groups. This paper critically examines the methodological considerations involved in the valuation of child- and adolescent-specific health-related quality of life by existing preference-based measures. It also describes the methodological choices made in the valuation of existing generic preference-based measures developed with and/or applied in child and adolescent populations: AHUM, AQoL-6D, CHU9D, EQ-5D-Y, HUI2, HUI3, QWB, 16D and 17D. The approaches used to value existing child- and adolescent-specific generic preference-based measures vary considerably. While the choice of whose preferences and which perspective to use is a matter of normative debate and ultimately for decision by reimbursement agencies and policy makers, greater research around these issues would be informative and would enrich these discussions. Research can also inform the other methodological choices required in the valuation of child and adolescent health states. Gaps in research evidence are identified around the impact of the child described in health state valuation exercises undertaken by adults, including the possibility of informed preferences; the appropriateness and acceptability of valuation tasks for adolescents, in particular tasks involving the state 'dead'; anchoring of adolescent preferences; and the generation and use of combined adult and adolescent preferences.
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Affiliation(s)
- Donna Rowen
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
| | - Oliver Rivero-Arias
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Nancy Devlin
- Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | - Julie Ratcliffe
- Health and Social Care Economics Group, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
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40
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Werner-Seidler A, Huckvale K, Larsen ME, Calear AL, Maston K, Johnston L, Torok M, O’Dea B, Batterham PJ, Schweizer S, Skinner SR, Steinbeck K, Ratcliffe J, Oei JL, Patton G, Wong I, Beames J, Wong QJJ, Lingam R, Boydell K, Salmon AM, Cockayne N, Mackinnon A, Christensen H. A trial protocol for the effectiveness of digital interventions for preventing depression in adolescents: The Future Proofing Study. Trials 2020; 21:2. [PMID: 31898512 PMCID: PMC6941300 DOI: 10.1186/s13063-019-3901-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 11/11/2019] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Depression frequently first emerges during adolescence, and one in five young people will experience an episode of depression by the age of 18 years. Despite advances in treatment, there has been limited progress in addressing the burden at a population level. Accordingly, there has been growing interest in prevention approaches as an additional pathway to address depression. Depression can be prevented using evidence-based psychological programmes. However, barriers to implementing and accessing these programmes remain, typically reflecting a requirement for delivery by clinical experts and high associated delivery costs. Digital technologies, specifically smartphones, are now considered a key strategy to overcome the barriers inhibiting access to mental health programmes. The Future Proofing Study is a large-scale school-based trial investigating whether cognitive behaviour therapies (CBT) delivered by smartphone application can prevent depression. METHODS A randomised controlled trial targeting up to 10,000 Year 8 Australian secondary school students will be conducted. In Stage I, schools will be randomised at the cluster level either to receive the CBT intervention app (SPARX) or to a non-active control group comparator. The primary outcome will be symptoms of depression, and secondary outcomes include psychological distress, anxiety and insomnia. At the 12-month follow-up, participants in the intervention arm with elevated depressive symptoms will participate in an individual-level randomised controlled trial (Stage II) and be randomised to receive a second CBT app which targets sleep difficulties (Sleep Ninja) or a control condition. Assessments will occur post intervention (both trial stages) and at 6, 12, 24, 36, 48 and 60 months post baseline. Primary analyses will use an intention-to-treat approach and compare changes in symptoms from baseline to follow-up relative to the control group using mixed-effect models. DISCUSSION This is the first trial testing the effectiveness of smartphone apps delivered to school students to prevent depression at scale. Results from this trial will provide much-needed insight into the feasibility of this approach. They stand to inform policy and commission decisions concerning if and how such programmes should be deployed in school-based settings in Australia and beyond. TRIAL REGISTRATION Australian and New Zealand Clinical Trial Registry, ACTRN12619000855123. Registered on 31 May 2019. Clinical Trial Notification Scheme (CTN), CT-2019-CTN-02110-1-v1. Registered on 30 June 2019.
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Affiliation(s)
| | - Kit Huckvale
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Mark E. Larsen
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Alison L. Calear
- Centre for Mental Health Research, The Australian National University, Canberra, ACT Australia
| | - Kate Maston
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Lara Johnston
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Michelle Torok
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Bridianne O’Dea
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Philip J. Batterham
- Centre for Mental Health Research, The Australian National University, Canberra, ACT Australia
| | - Susanne Schweizer
- School of Psychology, University of New South Wales, Sydney, NSW Australia
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - S. Rachel Skinner
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW Australia
| | - Katharine Steinbeck
- Discipline of Child and Adolescent Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW Australia
| | - Julie Ratcliffe
- College of Nursing and Health Sciences, Flinders University, Adelaide, SA Australia
| | - Ju-Lee Oei
- School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW Australia
| | - George Patton
- Murdoch Children’s Research Institute and University of Melbourne, Melbourne, VIC Australia
| | - Iana Wong
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Joanne Beames
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Quincy J. J. Wong
- School of Social Sciences and Psychology, Western Sydney University, Sydney, NSW Australia
| | - Raghu Lingam
- Population Child Health Clinical Research Group, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW Australia
| | - Katherine Boydell
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Allison M. Salmon
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Nicole Cockayne
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Andrew Mackinnon
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
| | - Helen Christensen
- Black Dog Institute, University of New South Wales, Sydney, NSW Australia
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Sakzewski L, Bleyenheuft Y, Boyd RN, Novak I, Elliott C, Reedman S, Morgan C, Pannek K, Fripp J, Golland P, Rowell D, Chatfield M, Ware RS. Protocol for a multisite randomised trial of Hand-Arm Bimanual Intensive Training Including Lower Extremity training for children with bilateral cerebral palsy: HABIT-ILE Australia. BMJ Open 2019; 9:e032194. [PMID: 31501133 PMCID: PMC6738737 DOI: 10.1136/bmjopen-2019-032194] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Children with bilateral cerebral palsy often experience difficulties with posture, gross motor function and manual ability, impacting independence in daily life activities, participation and quality of life (QOL). Hand-Arm Bimanual Intensive Training Including Lower Extremity (HABIT-ILE) is a novel intensive motor intervention integrating upper and lower extremity training. This study aimed to compare HABIT-ILE to usual care in a large randomised controlled trial (RCT) in terms of gross motor function, manual ability, goal attainment, walking endurance, mobility, self-care and QOL. A within-trial cost-utility analysis will be conducted to synthesise costs and benefits of HABIT-ILE compared with usual care. METHODS AND ANALYSIS 126 children with bilateral cerebral palsy aged 6-16 years will be recruited across three sites in Australia. Children will be stratified by site and Gross Motor Function Classification System and randomised using concealed allocation to either receiving HABIT-ILE immediately or being waitlisted for 26 weeks. HABIT-ILE will be delivered in groups of 8-12 children, for 6.5 hours per day for 10 days (total 65 hours, 2 weeks). Outcomes will be assessed at baseline, immediately following intervention, and then retention of effects will be tested at 26 weeks. Primary outcomes will be the Gross Motor Function Measure and ABILHAND-Kids. Secondary outcomes will be brain structural integrity, walking endurance, bimanual hand performance, self-care, mobility, performance and satisfaction with individualised goals, and QOL. Analyses will follow standard principles for RCTs using two-group comparisons on all participants on an intention-to-treat basis. Comparisons between groups for primary and secondary outcomes will be conducted using regression models. ETHICS AND DISSEMINATION Ethics approval has been granted by the Medical Research Ethics Committee of Children's Health Queensland Hospital and the Health Service Human Research Ethics Committee (HREC/17/QRCH/282) of The University of Queensland (2018000017/HREC/17/QRCH/2820), and The Cerebral Palsy Alliance Ethics Committee (2018_04_01/HREC/17/QRCH/282). TRIAL REGISTRATION NUMBER ACTRN12618000164291.
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Affiliation(s)
- Leanne Sakzewski
- Queensland Cerebral Palsy and Rehabilitation Research Centre, The Faculty of Medicine, University of Queensland, South Brisbane, Queensland, Australia
| | - Yannick Bleyenheuft
- Institute of Neuroscience, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Roslyn N Boyd
- Queensland Cerebral Palsy and Rehabilitation Research Centre, The Faculty of Medicine, University of Queensland, South Brisbane, Queensland, Australia
| | - Iona Novak
- Cerebral Palsy Alliance, Brookvale, New South Wales, Australia
| | - Catherine Elliott
- School of Occupational Therapy and Social Work, Curtin University, Perth, Western Australia, Australia
| | - Sarah Reedman
- Queensland Cerebral Palsy and Rehabilitation Research Centre, The Faculty of Medicine, University of Queensland, South Brisbane, Queensland, Australia
| | - Cathy Morgan
- Cerebral Palsy Alliance, Brookvale, New South Wales, Australia
| | - Kerstin Pannek
- CSIRO Health and Biosecurity, CSIRO Australian e-Health Research Centre, Herston, Queensland, Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, CSIRO Australian e-Health Research Centre, Herston, Queensland, Australia
| | - Prue Golland
- Cerebral Palsy Alliance, Brookvale, New South Wales, Australia
| | - David Rowell
- Faculty of Business, Economics and Law, University of Queensland, Wooloongabba, Queensland, Australia
| | - Mark Chatfield
- Queensland Cerebral Palsy and Rehabilitation Research Centre, The Faculty of Medicine, University of Queensland, South Brisbane, Queensland, Australia
| | - Robert Stuart Ware
- Menzies Health Institute Queensland, Griffith University, Nathan, Queensland, Australia
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Charles JM, Harrington DM, Davies MJ, Edwardson CL, Gorely T, Bodicoat DH, Khunti K, Sherar LB, Yates T, Edwards RT. Micro-costing and a cost-consequence analysis of the 'Girls Active' programme: A cluster randomised controlled trial. PLoS One 2019; 14:e0221276. [PMID: 31419257 PMCID: PMC6697369 DOI: 10.1371/journal.pone.0221276] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 08/03/2019] [Indexed: 11/18/2022] Open
Abstract
Physical inactivity has been identified as a leading risk factor for premature mortality globally, and adolescents, in particular, have low physical activity levels. Schools have been identified as a setting to tackle physical inactivity. Economic evidence of school-based physical activity programmes is limited, and the costs of these programmes are not always collected in full. This paper describes a micro-costing and cost-consequence analysis of the 'Girls Active' secondary school-based programme as part of a cluster randomised controlled trial (RCT). Micro-costing and cost-consequence analyses were conducted using bespoke cost diaries and questionnaires to collect programme delivery information. Outcomes for the cost-consequence analysis included health-related quality of life measured by the Child Health Utility-9D (CHU-9D), primary care General Practitioner (GP) and school-based (school nurse and school counsellor) service use as part of a cluster RCT of the 'Girls Active' programme. Overall, 1,752 secondary pupils were recruited and a complete case sample of 997 participants (Intervention n = 570, Control n = 427) was used for the cost-consequence analysis. The micro-costing analysis demonstrated that, depending upon how the programme was delivered, 'Girls Active' costs ranged from £1,054 (£2 per pupil, per school year) to £3,489 (£7 per pupil, per school year). The least costly option was to absorb 'Girls Active' strictly within curriculum hours. The analysis demonstrated no effect for the programme for the three main outcomes of interest (health-related quality of life, physical activity and service use).Micro-costing analyses demonstrated the costs of delivering the 'Girls Active' programme, addressing a gap in the United Kingdom (UK) literature regarding economic evidence from school-based physical activity programmes. This paper provides recommendations for those gathering cost and service use data in school settings to supplement validated and objective measures, furthering economic research in this field. Trial registration: -ISRCTN, ISRCTN10688342.
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Affiliation(s)
- Joanna M. Charles
- Centre for Health Economics and Medicines Evaluation, Bangor University, Bangor, United Kingdom
| | | | - Melanie J. Davies
- Diabetes Research Centre, University of Leicester, Leicester, United Kingdom
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, United Kingdom
| | | | - Trish Gorely
- Department of Nursing, School of Health, Social Care and Life Sciences, University of the Highlands and Islands, Inverness, United Kingdom
| | | | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, United Kingdom
- Leicester Diabetes Centre, Leicester General Hospital, University Hospitals of Leicester, Leicester, United Kingdom
| | - Lauren B. Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, United Kingdom
| | - Rhiannon Tudor Edwards
- Centre for Health Economics and Medicines Evaluation, Bangor University, Bangor, United Kingdom
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Coast J. Assessing capability in economic evaluation: a life course approach? THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2019; 20:779-784. [PMID: 30617754 DOI: 10.1007/s10198-018-1027-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Affiliation(s)
- Joanna Coast
- Health Economics at Bristol, Health and Population Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, BS8 1NU, Bristol, UK.
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Marshman Z, Ainsworth H, Chestnutt IG, Day P, Dey D, El Yousfi S, Fairhurst C, Gilchrist F, Hewitt C, Jones C, Kellar I, Pavitt S, Robertson M, Shah S, Stevens K, Torgerson D, Innes N. Brushing RemInder 4 Good oral HealTh (BRIGHT) trial: does an SMS behaviour change programme with a classroom-based session improve the oral health of young people living in deprived areas? A study protocol of a randomised controlled trial. Trials 2019; 20:452. [PMID: 31337437 PMCID: PMC6651965 DOI: 10.1186/s13063-019-3538-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 06/26/2019] [Indexed: 11/12/2022] Open
Abstract
Background Almost one-half of 12–15 year olds living in deprived areas of the UK have dental caries (tooth decay) with few oral health promotion programmes aimed at children of this age. Mobile phone-based interventions such as short messaging service (SMS) interventions have been found effective at changing certain behaviours and improving health outcomes. This protocol describes the BRIGHT Trial, investigating the clinical and cost-effectiveness of a behaviour change intervention—classroom-based session (CBS) embedded in the curriculum and a series of SMS delivered to participants twice daily to remind them to brush their teeth, compared to usual curriculum and no SMS—to reduce the prevalence of dental caries in young people from deprived areas. Objectives To investigate the clinical and cost-effectiveness of a complex intervention to improve the oral health of young people living in deprived areas. Methods/design This is a school-based, assessor-blinded, two-arm cluster-randomised controlled trial with an internal pilot trial. Overall, the trial will involve approximately 5040 11–13 year olds in 42 schools with a 3-year follow-up. The trial will take place in secondary schools in England, Scotland and Wales. The primary outcome is the presence of carious lesions in permanent teeth at 3 years. Secondary outcomes are: number of carious teeth, frequency of twice-daily toothbrushing, plaque levels, gingivitis, child health-related quality of life and oral health-related quality of life. A cost-utility analysis will be conducted. Discussion The findings of the trial have implications for embedding oral health interventions into school curricula guidance produced by national bodies, including departments for education and dental public health and guideline-development organisations. Trial registration ISRCTN registry, ISRCTN12139369. Registered on 10 May 2017. Electronic supplementary material The online version of this article (10.1186/s13063-019-3538-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Zoe Marshman
- School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA, UK
| | - Hannah Ainsworth
- York Trials Unit, Department of Health Sciences, Faculty of Sciences ARRC Building, University of York, York, YO10 5DD, UK
| | | | - Peter Day
- School of Dentistry, University of Leeds, Leeds, LS2 9LU, UK
| | - Donna Dey
- School of Education and Social Work, University of Dundee, Nethergate, Dundee, DD1 4HN, UK
| | - Sarab El Yousfi
- School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA, UK
| | - Caroline Fairhurst
- York Trials Unit, Department of Health Sciences, Faculty of Sciences ARRC Building, University of York, York, YO10 5DD, UK
| | - Fiona Gilchrist
- School of Clinical Dentistry, University of Sheffield, Claremont Crescent, Sheffield, S10 2TA, UK
| | - Catherine Hewitt
- York Trials Unit, Department of Health Sciences, Faculty of Sciences ARRC Building, University of York, York, YO10 5DD, UK
| | - Claire Jones
- Health information Centre, University of Dundee, (Main Level 5 Corridor), Second Floor (Level 7), Mail Box 15, Ninewells Hospital & Medical School, Dundee, DD1 9SY, UK
| | - Ian Kellar
- School of Psychology, University of Leeds, Lifton Place, Leeds, LS2 9JT, UK
| | - Sue Pavitt
- Dental Translational & Clinical Research Unit, School of Dentistry, University of Leeds, Leeds, LS2 9LU, UK
| | - Mark Robertson
- School of Dentistry, University of Dundee, Park Place, Dundee, DD6 8EF, UK.
| | - Sarwat Shah
- Department of Health Sciences, Faculty of Sciences ARRC Building, University of York, York, YO10 5DD, UK
| | - Katherine Stevens
- Health Economics and Decision Science, School of Health and Related Research, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK
| | - David Torgerson
- York Trials Unit, Department of Health Sciences, Faculty of Sciences ARRC Building, University of York, York, YO10 5DD, UK
| | - Nicola Innes
- School of Dentistry, University of Dundee, Park Place, Dundee, DD6 8EF, UK
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Kwon J, Kim SW, Ungar WJ, Tsiplova K, Madan J, Petrou S. Patterns, trends and methodological associations in the measurement and valuation of childhood health utilities. Qual Life Res 2019; 28:1705-1724. [PMID: 30783876 PMCID: PMC6571090 DOI: 10.1007/s11136-019-02121-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2019] [Indexed: 12/13/2022]
Abstract
PURPOSE To systematically assess patterns and temporal changes in the measurement and valuation of childhood health utilities and associations between methodological factors. METHODS Studies reporting childhood health utilities using direct or indirect valuation methods, published by June 2017, were identified through PubMed, Embase, Web of Science, PsycINFO, EconLit, CINAHL, Cochrane Library and PEDE. The following were explored: patterns in tariff application; linear trends in numbers of studies/samples and paediatric cost-utility analyses (CUAs) and associations between them; changes in proportions of studies/samples within characteristic-based categories over pre-specified periods; impact of National Institute for Health and Care Excellence (NICE) guidance on primary UK research and associations between valuation method, age and methodological factors. RESULTS 335 studies with 3974 samples covering all ICD-10 chapters, 23 valuation methods, 12 respondent types and 42 countries were identified by systematic review. 34.0% of samples using indirect methods compatible with childhood applied childhood-derived tariffs. There was no association between numbers of studies/samples and numbers of CUAs. Compared to 1990-2008, 2009-June 2017 saw a significant fall in the proportion of studies using case series; significant compositional changes across ICD-10 chapters and significantly higher sample proportions using childhood-specific and adult-specific indirect valuation methods, and based on pre-adolescents, self-assessment, self-administration and experienced health states. NICE guidance was weakly effective in promoting reference methods. Associations between valuation method, age and methodological factors were significant. CONCLUSION 1990-2017 witnessed significant changes in primary research on childhood health utilities. Health technology assessment agencies should note the equivocal effect of methodological guidance on primary research.
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Affiliation(s)
- Joseph Kwon
- School of Health and Related Research, University of Sheffield, Sheffield, UK
| | - Sung Wook Kim
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK
| | - Wendy J Ungar
- Program of Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Kate Tsiplova
- Program of Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, Toronto, Canada
| | - Jason Madan
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK
| | - Stavros Petrou
- Warwick Clinical Trials Unit, Warwick Medical School, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, UK.
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Shiroiwa T, Fukuda T, Shimozuma K. Psychometric properties of the Japanese version of the EQ-5D-Y by self-report and proxy-report: reliability and construct validity. Qual Life Res 2019; 28:3093-3105. [PMID: 31243620 PMCID: PMC6803591 DOI: 10.1007/s11136-019-02238-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2019] [Indexed: 11/30/2022]
Abstract
Purpose This study aimed to assess psychometric properties of the Japanese version of the EQ-5D-Y (3 levels) with a focus on feasibility, reliability, and construct validity. Methods Respondents were recruited from the general populations of three cities in Japan. First, children and adolescents responded to the EQ-5D-Y and PedsQL by self-report. Parents were also asked to evaluate the health states of their children/adolescents using proxy versions of these questionnaires. Next, the EQ-5D-Y was mailed to their residence approximately 2 weeks later, and both children/adolescents and their parents responded to the questionnaire. Reliability was confirmed by self-report test–retest methods and a comparison of self-report responses with proxy responses. Spearman’s correlation coefficients were calculated between responses to the EQ-5D-Y and both responses to and scores of the PedsQL in order to assess construct validity. Results A total of 654 children/adolescents from aged 8 to 15 (median age: 11) responded to the questionnaires at both the first- and second-stage surveys. Test–retest agreement was sufficiently high and was influenced by age. Proxy test–retest results revealed that parents’ responses were more reliable compared to the self-report results. Some correlations (|r| > 0.3) between items of the EQ-5D-Y and PedsQL were found. Meanwhile, no correlations were found between proxy responses to the EQ-5D-Y and self-report responses to the PedsQL. Conclusions The EQ-5D-Y demonstrates reliability and validity among children/adolescents and their parents in Japan. Construct validity of the EQ-5D-Y by self-report was confirmed through comparisons with the PedsQL. Proxy responses to the EQ-5D-Y were more reliable compared to the self-report results, but construct validity was not confirmed in the proxy version.
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Affiliation(s)
- T Shiroiwa
- Center for Outcomes Research and Economic Evaluation for Health (C2H), National Institute of Public Health, 2-3-6 Minami, Wako, Saitama, 351-0197, Japan.
| | - T Fukuda
- Center for Outcomes Research and Economic Evaluation for Health (C2H), National Institute of Public Health, 2-3-6 Minami, Wako, Saitama, 351-0197, Japan
| | - K Shimozuma
- Department of Biomedical Sciences, College of Life Sciences, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577, Japan
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Mapping the Strengths and Difficulties Questionnaire onto the Child Health Utility 9D in a large study of children. Qual Life Res 2019; 28:2429-2441. [PMID: 31154585 DOI: 10.1007/s11136-019-02220-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2019] [Indexed: 01/19/2023]
Abstract
PURPOSE Non-preference-based measures cannot be used to directly obtain utilities but can be converted to preference-based measures through mapping. The only mapping algorithm for estimating Child Health Utility-9D (CHU9D) utilities from Strengths and Difficulties Questionnaire (SDQ) responses has limitations. This study aimed to develop a more accurate algorithm. METHODS We used a large sample of children (n = 6898), with negligible missing data, from the Longitudinal Study of Australian Children. Exploratory factor analysis (EFA) and Spearman's rank correlation coefficients were used to assess conceptual overlap between SDQ and CHU9D. Direct mapping (involving seven regression methods) and response mapping (involving one regression method) approaches were considered. The final model was selected by ranking the performance of each method by averaging the following across tenfold cross-validation iterations: mean absolute error (MAE), mean squared error (MSE), and MAE and MSE for two subsamples where predicted utility values were < 0.50 (poor health) or > 0.90 (healthy). External validation was conducted using data from the Child and Adolescent Mental Health Services study. RESULTS SDQ and CHU9D were moderately correlated (ρ = - 0.52, p < 0.001). EFA demonstrated that all CHU9D domains were associated with four SDQ subscales. The best-performing model was the Generalized Linear Model with SDQ items and gender as predictors (full sample MAE: 0.1149; MSE: 0.0227). The new algorithm performed well in the external validation. CONCLUSIONS The proposed mapping algorithm can produce robust estimates of CHU9D utilities from SDQ data for economic evaluations. Further research is warranted to assess the applicability of the algorithm among children with severe health problems.
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Harrington DM, Davies MJ, Bodicoat D, Charles JM, Chudasama YV, Gorely T, Khunti K, Rowlands AV, Sherar LB, Tudor-Edwards R, Yates T, Edwardson CL. A school-based intervention (‘Girls Active’) to increase physical activity levels among 11- to 14-year-old girls: cluster RCT. PUBLIC HEALTH RESEARCH 2019. [DOI: 10.3310/phr07050] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
BackgroundPhysical activity (PA) levels among adolescent girls in the UK are low. ‘Girls Active’, developed by the Youth Sport Trust (YST), has been designed to increase girls’ PA levels.ObjectiveTo understand the effectiveness and cost-effectiveness of the Girls Active programme.DesignA two-arm cluster randomised controlled trial.SettingState secondary schools in the Midlands, UK.ParticipantsGirls aged between 11 and 14 years.InterventionGirls Active involves teachers reviewing PA, sport and physical education provision, culture and practices in their school; attending training; creating action plans; and effectively working with girls as peer leaders to influence decision-making and to promote PA to their peers. Support from a hub school and the YST is offered.Main outcome measuresThe change in objectively measured moderate to vigorous intensity PA (MVPA) levels at 14 months. Secondary outcomes included changes in overall PA level (mean acceleration), light PA levels, sedentary time, body composition and psychosocial outcomes. Cost-effectiveness and process evaluation (qualitative and quantitative) data were collected.ResultsTwenty schools and 1752 pupils were recruited; 1211 participants provided complete primary outcome data at 14 months. No difference was found in mean MVPA level between groups at 14 months [1.7 minutes/day, 95% confidence interval (CI) –0.8 to 4.3 minutes/day], but there was a small difference in mean MVPA level at 7 months (2.4 minutes/day, 95% CI 0.1 to 4.7 minutes/day). Significant differences between groups were found at 7 months, but not at 14 months, in some of the objective secondary outcomes: overall PA level represented by average acceleration (1.39 mg, 95% CI 0.1 to 2.2 mg), after-school sedentary time (–4.7 minutes/day, 95% CI –8.9 to –0.6 minutes/day), overall light PA level (5.7 minutes/day, 95% CI 1.0 to 10.5 minutes/day) and light PA level on school days (4.5 minutes/day, 95% CI 0.25 to 8.75 minutes/day). Minor, yet statistically significant, differences in psychosocial measures at 7 months were found in favour of control schools. Significant differences in self-esteem and identified motivation in favour of intervention schools were found at 7 and 14 months, respectively. Subgroup analyses showed a significant effect of the intervention for those schools with higher numbers of pupils at 14 months. Girls Active was well received by teachers, and they reported that implemented strategies and activities were having a positive impact in schools. Barriers to implementation progress included lack of time, competing priorities and the programme flexibility. Implementation costs ranged from £2054 (£23/pupil) to £8545 (£95/pupil) per school. No differences were found between groups for health-related quality-of-life scores or frequencies, or for costs associated with general practitioner, school nurse and school counsellor use.ConclusionsGirls Active may not have had an effect on the random 90 girls per school included in the evaluation. Although we included a diverse sample of schools, the results may not be generalisable to all schools. Girls Active was viewed positively but teachers did not implement as many aspects of the programme as they wanted. The intervention was unlikely to have a wide impact and did not have an impact on MVPA level at 14 months. Capitalising on the opportunities of a flexible programme like this, while also learning from the stated barriers to and challenges of long-term implementation that teachers face, is a priority for research and practice.Trial registrationCurrent Controlled Trials ISRCTN10688342.FundingThis project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full inPublic Health Research; Vol. 7, No. 5. See the NIHR Journals Library website for further project information. The YST funded the intervention. This study was undertaken in collaboration with the Leicester Clinical Trials Unit, a UK Clinical Research Collaboration-registered clinical trials unit in receipt of NIHR Clinical Trials Unit support funding. Neither the YST nor the NIHR Clinical Trials Unit had any involvement in the Trial Steering Committee, data analysis, data interpretation, data collection or writing of the report. The University of Leicester authors are supported by the NIHR Leicester–Loughborough Biomedical Research Unit (2012–17), the NIHR Leicester Biomedical Research Centre (2017–22) and the Collaboration for Leadership in Applied Health Research and Care East Midlands. These funders had no involvement in the Trial Steering Committee, the data analysis, data interpretation, data collection or writing of the report.
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Affiliation(s)
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
| | - Danielle Bodicoat
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Collaboration for Leadership in Applied Health Research and Care East Midlands, Leicester, UK
| | - Joanna M Charles
- Centre for Health Economics and Medicines Evaluation, Bangor University, Bangor, UK
| | | | - Trish Gorely
- Department of Nursing, School of Health, Social Care and Life Sciences, University of the Highlands and Islands, Inverness, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
- Leicester Diabetes Centre, University Hospitals of Leicester, Leicester, UK
- Collaboration for Leadership in Applied Health Research and Care East Midlands, Leicester, UK
| | - Alex V Rowlands
- Diabetes Research Centre, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Leicester, UK
- Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia
| | - Lauren B Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | | | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Leicester, UK
| | - Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Leicester, UK
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Kreimeier S, Greiner W. EQ-5D-Y as a Health-Related Quality of Life Instrument for Children and Adolescents: The Instrument's Characteristics, Development, Current Use, and Challenges of Developing Its Value Set. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2019; 22:31-37. [PMID: 30661631 DOI: 10.1016/j.jval.2018.11.001] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 10/24/2018] [Accepted: 11/02/2018] [Indexed: 05/18/2023]
Abstract
OBJECTIVES Interest in the measurement of health-related quality of life (HRQoL) in children and adolescents has been increasing, and appropriate instruments are required for this target group. This article focuses on the EQ-5D-Y instrument, presenting an overview of its characteristics, development, and current use, and includes a discussion of methodological and conceptual issues related to the valuation of child health and the development of an EQ-5D-Y value set. METHODS This article brings together the experiences of the research team that developed and validated the EQ-5D-Y, supplemented by information derived from EQ-5D-Y study registrations on the EuroQol Group's website. RESULTS EQ-5D-Y is a child-specific and age-appropriate measure of HRQoL. Study registration data show that the instrument's use has steadily increased since its first publication. It has been used in various types of studies and in different disease areas. Currently there is no value set for EQ-5D-Y, and so its use in cost-utility analysis (CUA) is limited. There are methodological and conceptual issues that affect the design of valuation studies for child health. Issues that are discussed include the need for separate value sets for children and adolescents, the choice of appropriate reference samples and valuation techniques, and the framing of the tasks. CONCLUSIONS Research on EQ-5D-Y and its use has increased in the last years. Further research is required to clarify methodological issues regarding health state valuation in children and adolescents. This will support the development of a value set for EQ-5D-Y and the use of EQ-5D-Y in CUA.
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Affiliation(s)
- Simone Kreimeier
- Department of Health Economics and Health Care Management, Faculty of Health Science, Bielefeld University, Bielefeld, Germany.
| | - Wolfgang Greiner
- Department of Health Economics and Health Care Management, Faculty of Health Science, Bielefeld University, Bielefeld, Germany
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Kreimeier S, Oppe M, Ramos-Goñi JM, Cole A, Devlin N, Herdman M, Mulhern B, Shah KK, Stolk E, Rivero-Arias O, Greiner W. Valuation of EuroQol Five-Dimensional Questionnaire, Youth Version (EQ-5D-Y) and EuroQol Five-Dimensional Questionnaire, Three-Level Version (EQ-5D-3L) Health States: The Impact of Wording and Perspective. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2018; 21:1291-1298. [PMID: 30442276 DOI: 10.1016/j.jval.2018.05.002] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 03/29/2018] [Accepted: 05/01/2018] [Indexed: 05/18/2023]
Abstract
BACKGROUND Valuations of health states were affected by the wording of the two instruments (EQ-5D-3L and EQ-5D-Y) and by the perspective taken (child or adult). OBJECTIVES There is a growing demand for value sets for the EQ-5D-Y (EQ-5D instrument for younger populations). Given the similarities between EQ-5D-Y and EQ-5D-3L, we investigated whether valuations of health states were affected by the differences in wording between the two instruments and by the perspective taken in the valuation exercise (child or adult). STUDY DESIGN Respondents were randomly assigned to EQ-5D-3L or EQ-5D-Y (instrument) and further into two groups that either valued health states for an adult or for a 10-year-old child (perspective). The valuation tasks were composite time trade-off (C-TTO) and discrete choice experiments (DCE), including comparisons with death (DCE + death). Members of the adult general population in four countries (Germany, Netherlands, Spain, England) participated in computer-assisted personal interviews. METHODS Two-way multivariate analysis of variance (MANOVA) and post hoc tests were used to compare C-TTO responses and chi-square tests were conducted to compare DCE + death valuations. RESULTS A significant interaction effect between instrument and perspective for C-TTO responses was found. Significant differences by perspective (adult and child) occurred only for the EQ-5D-3L. Significant differences in values between instruments (EQ-5D-3L and EQ-5D-Y) occurred only for the adult perspective. Both significant results were confirmed by the DCE + death results. When comparing EQ-5D-3L for adult perspective and EQ-5D-Y for child perspective, values were also significantly different. CONCLUSIONS The results identified an interaction effect between wording of the instrument and perspective on elicited values, suggesting that current EQ-5D-3L value sets should not be employed to assign values to EQ-5D-Y health states.
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Affiliation(s)
- Simone Kreimeier
- Bielefeld University, Faculty of Health Science, Department of Health Economics and Health Care Management.
| | - Mark Oppe
- Office of the EuroQol Research Foundation, Rotterdam, Netherlands
| | | | | | | | | | - Brendan Mulhern
- Centre for Health Economics Research and Evaluation, University of Technology, Sydney, Australia
| | | | - Elly Stolk
- Office of the EuroQol Research Foundation, Rotterdam, Netherlands
| | | | - Wolfgang Greiner
- Bielefeld University, Faculty of Health Science, Department of Health Economics and Health Care Management
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