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Khan E, Lambrakis K, Briffa T, Cullen LA, Karnon J, Papendick C, Quinn S, Tideman P, Hengel AVD, Verjans J, Chew DP. Re-engineering the clinical approach to suspected cardiac chest pain assessment in the emergency department by expediting research evidence to practice using artificial intelligence. (RAPIDx AI)-a cluster randomized study design. Am Heart J 2025; 285:106-118. [PMID: 39993551 DOI: 10.1016/j.ahj.2025.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 01/19/2025] [Accepted: 02/18/2025] [Indexed: 02/26/2025]
Abstract
BACKGROUND Clinical work-up for suspected cardiac chest pain is resource intensive. Despite expectations, high-sensitivity cardiac troponin assays have not made decision making easier. The impact of recently validated rapid triage protocols including the 0-hour/1-hour hs-cTn protocols on care and outcomes may be limited by the heterogeneity in interpretation of troponin profiles by clinicians. We have developed machine learning (ML) models which digitally phenotype myocardial injury and infarction with a high predictive performance and provide accurate risk assessment among patients presenting to EDs with suspected cardiac symptoms. The use of these models may support clinical decision-making and allow the synthesis of an evidence base particularly in non-T1MI patients however prospective validation is required. OBJECTIVE We propose that integrating validated real-time artificial intelligence (AI) methods into clinical care may better support clinical decision-making and establish the foundation for a self-learning health system. DESIGN This prospective, multicenter, open-label, cluster-randomized clinical trial within blinded endpoint adjudication across 12 hospitals (n = 20,000) will randomize sites to the clinical decision-support tool or continue current standard of care. The clinical decision support tool will utilize ML models to provide objective patient-specific diagnostic probabilities (ie, likelihood for Type 1 myocardial infarction [MI] versus Type 2 MI/Acute Myocardial Injury versus Chronic Myocardial Injury etc.) and prognostic assessments. The primary outcome is the composite of cardiovascular mortality, new or recurrent MI and unplanned hospital re-admission at 12 months post index presentation. SUMMARY Supporting clinicians with a decision support tool that utilizes AI has the potential to provide better diagnostic and prognostic assessment thereby improving clinical efficiency and establish a self-learning health system continually improving risk assessment, quality and safety. TRIAL REGISTRATION ANZCTR, Registration Number: ACTRN12620001319965, https://www.anzctr.org.au/.
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Affiliation(s)
- Ehsan Khan
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia; Department of Health, SA Health, South Australian, Adelaide, Australia
| | - Kristina Lambrakis
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia; Department of Health, SA Health, South Australian, Adelaide, Australia
| | - Tom Briffa
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Louise A Cullen
- Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Brisbane, Australia; School of Public Health, Queensland University of Technology, Brisbane, Australia; School of Medicine, University of Queensland, Brisbane, Australia
| | - Jonathon Karnon
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia
| | - Cynthia Papendick
- Department of Health, SA Health, South Australian, Adelaide, Australia
| | - Stephen Quinn
- Department of Statistics, Department of Health Science and Biostatistics, Swinburne University of Technology, Melbourne, Australia
| | - Phil Tideman
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia; Department of Health, SA Health, South Australian, Adelaide, Australia
| | - Anton Van Den Hengel
- Australian Institute for Machine Learning (AIML), The University of Adelaide, Adelaide, SA, Australia
| | - Johan Verjans
- South Australian Health and Medical Research Institute, Adelaide, Australia; Department of Health, SA Health, South Australian, Adelaide, Australia
| | - Derek P Chew
- College of Medicine and Public Health, Flinders University of South Australia, Adelaide, Australia; South Australian Health and Medical Research Institute, Adelaide, Australia; Department of Health, SA Health, South Australian, Adelaide, Australia.
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Eer AS, Hachem M, Hearn T, Koye DN, Atkinson-Briggs S, Jones J, Eades S, Braat S, Twigg SM, Sinha A, McLean A, O'Brien RC, Clarke P, O'Neal D, Story D, Zajac JD, Kelly RJ, Burchill L, Ekinci EI. Flash glucose monitoring for Indigenous Australians with type 2 diabetes: a randomised pilot and feasibility study. Pilot Feasibility Stud 2025; 11:72. [PMID: 40413546 PMCID: PMC12103807 DOI: 10.1186/s40814-025-01607-7] [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] [Received: 02/21/2024] [Accepted: 02/14/2025] [Indexed: 05/27/2025] Open
Abstract
BACKGROUND Flash glucose monitoring (FGM) can improve diabetes management, but no randomised controlled trials (RCTs) of FGM have been undertaken in Indigenous Australian populations. This study aimed to assess the feasibility of performing a RCT of FGM in Indigenous Australians with type 2 diabetes. METHODS In this open-labelled pilot RCT, Indigenous adults with type 2 diabetes were randomised to FGM or standard care for 6 months. Eligible participants were being treated with injectable diabetes medications and had a glycosylated haemoglobin (HbA1c) ≥ 7.0%. The feasibility outcome was the proportion of participants completing the trial, and the primary outcome for the future trial was change in HbA1c from baseline to 6 months. Secondary outcomes included change in time spent in target blood glucose (4.0-10.0 mmol/L), safety (hypoglycaemic episodes), and quality of life (EuroQol 5-dimension 3-level (EQ-5D-3L) score). RESULTS Of 126 screened individuals, 74 were eligible, 40 (54%) were randomised, and 39 (97.5%) completed the study. Participants' baseline characteristics were similar between the FGM and usual care groups, except for sex and body mass index. No between-group differences were observed for the following: change in HbA1c; percentage of time spent in target blood glucose (4.0-10.0 mmol/L), low glucose (< 3.9 mmol/L), and high glucose (> 15.0 mmol/L); or EQ-5D-3L scores. No severe hypoglycaemic episodes occurred. CONCLUSIONS This is the first pilot RCT of FGM in Indigenous Australians with type 2 diabetes. The results support a larger RCT. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR12621000021875), retrospectively registered on 14 January 2021.
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Affiliation(s)
- Audrey S Eer
- Department of Endocrinology, Austin Health, Heidelberg, Australia
- Department of Medicine, The University of Melbourne (Austin Health), Heidelberg, Australia
- Department of Medicine, Goulburn Valley Health, Shepparton, Australia
| | - Mariam Hachem
- Department of Medicine, The University of Melbourne (Austin Health), Heidelberg, Australia
- Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Australia
| | - Tracey Hearn
- Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Australia
- Rumbalara Aboriginal Co-Operative, Mooroopna, Australia
| | - Digsu N Koye
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- MISCH (Methods and Implementation Support for Clinical Health) Research Hub, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Sharon Atkinson-Briggs
- Rumbalara Aboriginal Co-Operative, Mooroopna, Australia
- Department of Medicine, The University of Melbourne (St Vincent's Hospital), Melbourne, Australia
| | - Jessica Jones
- Department of Medicine, The University of Melbourne (Austin Health), Heidelberg, Australia
| | - Sandra Eades
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Sabine Braat
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- MISCH (Methods and Implementation Support for Clinical Health) Research Hub, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Stephen M Twigg
- Department of Endocrinology, Royal Prince Alfred Hospital Sydney, Sydney, Australia
- Sydney Medical School and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Ashim Sinha
- Department of Diabetes and Endocrinology, Cairns Hospital, Cairns, Australia
| | - Anna McLean
- Department of Diabetes and Endocrinology, Cairns Hospital, Cairns, Australia
| | - Richard C O'Brien
- Department of Endocrinology, Austin Health, Heidelberg, Australia
- Department of Medicine, The University of Melbourne (Austin Health), Heidelberg, Australia
| | - Phillip Clarke
- Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - David O'Neal
- Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Australia
- Department of Medicine, The University of Melbourne (St Vincent's Hospital), Melbourne, Australia
| | - David Story
- Department of Critical Care, The University of Melbourne, Melbourne, Australia
| | - Jeffrey D Zajac
- Department of Endocrinology, Austin Health, Heidelberg, Australia
- Department of Medicine, The University of Melbourne (Austin Health), Heidelberg, Australia
| | - Raymond J Kelly
- Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Australia
- Baker Department of Cardiometabolic Health, The University of Melbourne, Melbourne, Australia
| | - Luke Burchill
- Department of Medicine, The University of Melbourne (Royal Melbourne Hospital), Parkville, Australia
| | - Elif I Ekinci
- Department of Endocrinology, Austin Health, Heidelberg, Australia.
- Department of Medicine, The University of Melbourne (Austin Health), Heidelberg, Australia.
- Australian Centre for Accelerating Diabetes Innovations (ACADI), The University of Melbourne, Melbourne, Australia.
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Seyringer S, Pilz MJ, Al-Naesan I, King MT, Bottomley A, Norman R, Schlosser L, Hell T, Gamper EM. Validation of the cancer-specific utility measure EORTC QLU-C10D using evidence from four lung cancer trials covering six country value sets. Sci Rep 2025; 15:14907. [PMID: 40295533 PMCID: PMC12037822 DOI: 10.1038/s41598-024-83861-y] [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] [Received: 02/27/2024] [Accepted: 12/18/2024] [Indexed: 04/30/2025] Open
Abstract
The Quality of Life (QoL) Utility measure, QLU-C10D, is derived of the European Organisation for Research and Treatment of Cancer (EORTC) QoL Questionnaire, QLQ-C30. Based on the cancer-specific nature, the QLU-C10D is expected to be sensitive and responsive in lung cancer patients.This retrospective analysis used data from four international lung cancer multi-center trials (NCT00656136, NCT00949650, NCT01085136, NCT01523587). Clinical validity was assessed in comparison to a generic standard utility instrument, the EuroQoL Group´s EQ-5D-3L. Utilities of six country value sets (Australia, Canada, Italy, the Netherlands, Poland, UK) were calculated at baseline and end of treatment for both measures. Country value set pairs of both measures (k) were compared in terms of Relative Efficiency (RE) and difference in Effect Sizes (dES) in 1) sensitivity to detect differences between performance status groups and 2) responsiveness to changes at each trial sample. Analysis of the four trials (N1 = 496, N2 = 290, N3 = 202, N4 = 770) with the six country value sets of each utility measure showed ad 1) Sensitivity indices favored the QLU-C10D (k = 18, p ≤ 0.019; RE > 1.10; dES > 0.03), and ad 2) Responsiveness indices of changes within clinically known groups (k = 78), largely favored QLU-C10D (k = 74, p ≤ .024; RE > 1.01; dES > 0.02), in comparison with the generic utility instrument. In summary, 96% of the comparative indices favored the QLU-C10D. In summary, this study confirms the clinical validity of the QLU-C10D in lung cancer patients. The QLU-C10D produced homogenous results across six country value sets and detected differences/changes in alignment with clinical expectations. In most comparisons the QLU-C10D was more sensitive or responsive compared to the EQ-5D-3L.
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Affiliation(s)
- Simone Seyringer
- Department of Nuclear Medicine, Medical University of Innsbruck, 6020, Innsbruck, Austria
| | - Micha J Pilz
- University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria
| | - Imad Al-Naesan
- University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria
| | - Madeleine T King
- School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Andrew Bottomley
- Quality of Life Department, European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | - Richard Norman
- School of Population Health, Curtin University, Perth, WA, Australia
| | | | | | - Eva M Gamper
- Department of Nuclear Medicine, Medical University of Innsbruck, 6020, Innsbruck, Austria.
- University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
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Thai T, Engel L, Ride J, Mulhern B, Norman R, Mihalopoulos C. Developing an Australian Value Set for the Recovering Quality of Life-Utility Index Instrument Using Discrete Choice Experiment With Duration. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2025; 28:460-469. [PMID: 39827911 DOI: 10.1016/j.jval.2024.12.008] [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: 06/18/2024] [Revised: 12/11/2024] [Accepted: 12/13/2024] [Indexed: 01/22/2025]
Abstract
OBJECTIVES The Recovering Quality of Life-Utility Index (ReQoL-UI) instrument was designed to measure the quality-of-life outcomes for people older than 16 years with mental health problems. We aimed to elicit societal preferences for the ReQoL-UI health states to facilitate better decision making in Australia. METHODS A discrete choice experiment with duration was embedded in a self-completed online survey and administered to a representative sample (n = 1019) of the Australian adult population aged 18 years and older stratified by age, sex, and geographic location. A partial subset design discrete choice experiment was used with 3 fixed attributes and 5 varying attributes, containing 240 choice tasks that were divided into 20 blocks so that each respondent was assigned a block of 12 choice tasks. The value set was modeled using the conditional logit model with utility decrements directly anchored on the 0 to 1 dead-full health scale. Preference heterogeneity was tested using a mixed logit model. RESULTS The final value set reflects the monotonic nature of the ReQoL-UI descriptive systems where the best health state defined by the descriptive system has a value of 1 and the worst state has a value of -0.585. The most important dimension was physical health problems, whereas the least important attribute was self-perception. Sensitivity and preference heterogeneity analyses revealed the stability of the value set. CONCLUSIONS The value set, which reflects the preferences of the Australian population, facilitates the calculation of an index for quality-adjusted life-years in mental health intervention cost-utility analyses.
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Affiliation(s)
- Thao Thai
- Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
| | - Lidia Engel
- Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jemimah Ride
- Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Brendan Mulhern
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia
| | - Richard Norman
- Curtin School of Population Health, Curtin University, Perth, Australia
| | - Cathrine Mihalopoulos
- Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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Page K, Hossain L, Liu D, Kim YH, Wilmot K, Kenny P, Campbell M, Cumming T, Kelly S, Longden T, van Gool K, Viney R. Outcomes from the Victorian Healthy Homes Program: a randomised control trial of home energy upgrades. BMJ Open 2025; 15:e082340. [PMID: 40010814 PMCID: PMC11865758 DOI: 10.1136/bmjopen-2023-082340] [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] [Received: 11/21/2023] [Accepted: 01/10/2025] [Indexed: 02/28/2025] Open
Abstract
OBJECTIVES The Victorian Healthy Homes Program investigated the impact of thermal home upgrades on energy and health outcomes in vulnerable, older individuals over winter in Victoria, Australia. DESIGN A staggered parallel-group randomised control trial design of 984 (764 per protocol (PP)) vulnerable households and 1313 (1015 PP) individuals. The intervention group received their upgrade prior to their winter of recruitment, and the control group received their upgrade after the winter of their recruitment. SETTING Western Melbourne (metropolitan) and the Goulburn Valley (regional) in Victoria, Australia. PARTICIPANTS 1000 households were recruited: 800 from western Melbourne (metropolitan) and 200 from the Goulburn Valley (regional). INTERVENTION A thermal comfort and home energy efficiency upgrade of up to $AUD3500 per household. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome was the change in indoor temperature over winter and the secondary outcomes were changes in quality of life, healthcare use and costs, self-reported health measures, energy use and costs and humidity. RESULTS A relatively low-cost and simple home upgrade (average cost $A2809) resulted in reduced gas consumption (-25.5 MJ/day) and increased indoor winter temperatures (average daily increase of 0.33°C), and a reduction of exposure to cold conditions (<18°C) by an average of 0.71 hours (43 min) per day. The intervention group experienced improved mental health as measured by the short-form 36 mental component summary and social care related quality of life measured by the Adult Social Care Outcomes Toolkit, less breathlessness and lower overall healthcare costs (an average of $A887 per person) over the winter period. CONCLUSIONS The home upgrades significantly increased average winter indoor temperature, improved mental health and social care-related quality of life and made householders more comfortable while yielding reductions in overall healthcare use and costs. TRIAL REGISTRATION NUMBER Australian and New Zealand Clinical Trials Registry: ACTRN12618000160235.
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Affiliation(s)
- Katie Page
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Lutfun Hossain
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Dan Liu
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Yo Han Kim
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Kerryn Wilmot
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Patricia Kenny
- University of Technology Sydney, Sydney, New South Wales, Australia
| | | | - Toby Cumming
- Sustainability Victoria, Melbourne, Victoria, Australia
| | - Scott Kelly
- University of Technology Sydney, Sydney, New South Wales, Australia
| | - Thomas Longden
- Western Sydney University, Penrith, New South Wales, Australia
| | - Kees van Gool
- The University of Sydney, Sydney, New South Wales, Australia
| | - Rosalie Viney
- University of Technology Sydney, Sydney, New South Wales, Australia
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Munday J, Duff J, Wood FM, Sturgess D, Keogh S, Ralph N, White NM, Carter H, Graham ID. Implementing Guidelines for hypothermia prevention with Local adaptation to keep periOperative patients Warm (GLOW): protocol of a stepped-wedge cluster randomised hybrid type II effectiveness-implementation study. BMJ Open 2025; 15:e091577. [PMID: 39938961 PMCID: PMC11822429 DOI: 10.1136/bmjopen-2024-091577] [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] [Received: 07/24/2024] [Accepted: 01/28/2025] [Indexed: 02/14/2025] Open
Abstract
INTRODUCTION Perioperative hypothermia is a common and preventable complication of surgery. Systems level change that enables perioperative teams to integrate hypothermia prevention into practice in ways that are contextually appropriate is needed. The purpose of this trial is to evaluate the effectiveness and implementation of perioperative hypothermia prevention guidance with local adaptation on clinical, implementation and economic outcomes. Our objective is to decrease the risk of patients developing perioperative hypothermia. METHODS AND ANALYSIS A hybrid type II effectiveness-implementation study. An incomplete stepped-wedge cluster randomised controlled trial design will be used, with a 6-month transition period for implementation. Perioperative departments from five major public hospitals in South East Queensland, Australia, will participate over 27 months. The co-primary outcomes are (effectiveness) hypothermia on arrival to the post anaesthetic care unit (PACU) and (implementation) extent of temperature monitoring and active warming. Secondary clinical effectiveness outcomes include hypothermia at any perioperative time point, PACU and hospital length of stay, intraoperative or post-anaesthetic adverse events, blood transfusions and surgical site infection. Secondary implementation outcomes include pre-transition measures of adoptability and implementability, and post-transition measures of adoption, fidelity of implementation strategy and site team learning. Cost-effectiveness will evaluate implementation costs and quality-adjusted life years. Based on the number and unequal sizes of clusters, we used a constrained randomisation approach for sample size determination to minimise the imbalance between control and intervention period sample sizes. Generalised linear mixed models will be used to analyse primary and secondary outcomes. ETHICS AND DISSEMINATION Ethical approval was obtained with a waiver of consent to access clinical records (reference: HREC/2023/MNHB/94571). Informed consent will be sought from patients completing surveys. Consent will be implied from clinicians participating in implementation evaluation. Findings will be disseminated through journal publications and conference presentations. Practice and policy recommendations will be collaboratively developed with partner organisations. TRIAL REGISTRATION NUMBER Prospective registration of the trial was obtained on 28 July 2023 on the Australia and New Zealand Clinical Trials Registry Network: ACTRN12623000814673.
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Affiliation(s)
- Judy Munday
- School of Health, University of The Sunshine Coast, Sippy Downs, Queensland, Australia
- Faculty of Health and Sports Sciences, University of Agder, Kristiansand, Vest-Agder, Norway
| | - Jed Duff
- School of Nursing/Centre for Healthcare Transformation, Queensland University of Technology, Brisbane, Queensland, Australia
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Fiona M Wood
- School of Biomedical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Burns Service of Western Australia, Government of Western Australia Department of Health, Perth, Western Australia, Australia
| | - David Sturgess
- PA-Southside Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- The University of Queensland, Brisbane, Queensland, Australia
| | - Samantha Keogh
- School of Nursing/Centre for Healthcare Transformation, Queensland University of Technology, Brisbane, Queensland, Australia
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Nicholas Ralph
- School of Health, University of The Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Nicole M White
- Australian Centre for Health Services Innovation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Hannah Carter
- Australian Centre for Health Services Innovation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Ian D Graham
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
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Khanna D, Lay K, Khadka J, Mpundu-Kaambwa C, Ratcliffe J. How do children understand and respond to the EQ-5D-Y-3L? A mixed methods study in a community-based sample of 6-12-year-olds. Health Qual Life Outcomes 2024; 22:105. [PMID: 39633400 PMCID: PMC11619400 DOI: 10.1186/s12955-024-02320-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 11/19/2024] [Indexed: 12/07/2024] Open
Abstract
BACKGROUND The EQ-5D-Y-3L is widely used for measuring and valuing HRQoL in paediatric populations. This mixed methods study used the EQ-5D-Y-3L measure and applied a retrospective think-aloud approach to examine the self-report validity in children of varying chronological age. METHODS A mixed methods study was conducted in a community-based sample of 39 children aged 6-12 years. In a semi-structured interview, children self-completed the EQ-5D-Y-3L and then engaged in retrospective think-aloud. Conversations were audio-recorded and transcribed for analysis in NVivo using the Tourangeau four-stage response model framework to assess comprehension, judgment, recall, and response mapping issues. Fisher's exact test was used to assess the differences between child-self reported HRQoL across subgroups. The inter-rater agreement between child-parent dyads was assessed with CCC for overall HRQoL and Gwet's AC1 for dimension level HRQoL. RESULTS Overall, response issues were detected in n = 18 (46%) children. Comprehension issues were apparent in the "having pain or discomfort" dimension where children found it challenging to understand 'discomfort'. Recall-related issues were observed where children's responses were influenced by their typical tendencies (e.g., being usually worried) or past incidences (e.g., feeling pain sometimes). Judgement-related issues were the most common, particularly in the "doing usual activities" dimension, where children tended to respond based on their self-perceived ability to engage in activities rather than health-related limitations. None of the participants were found to have problems with response mapping. A healthy lifestyle that included diet and exercise was a notable consideration in EQ VAS ratings. The younger age groups had a higher proportion of response issues (6-7 years: 64%, 8-10 years: 62%), compared to older children (11-12 years: 20%). Moreover, children with response issues demonstrated significantly lower EQ-5D-Y-3L scores (mean = 0.78, se = 0.04) as compared to those without (mean = 0.95, se = 0.02) (p-value < 0.001). The overall inter-rater agreement was higher for those without any response issues (CCC = 0.33) than those with (CCC = 0.14). Additionally, higher agreement was noted across all the five dimensions in the subgroup with no response issues relative to those with. CONCLUSIONS Children in the general community may have different perceptions of HRQoL when responding to the EQ-5D-Y-3L possibly due to their limited experience with health-related challenges. The retrospective think-aloud approach adopted highlighted the relatively higher prevalence of response issues in the younger children (ages < 11 years), indicating the need for careful interpretation of self-reported HRQoL using the current version of the EQ-5D-Y-3L in this population.
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Affiliation(s)
- Diana Khanna
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, 5042, Australia.
| | - Kiri Lay
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, 5042, Australia
| | - Jyoti Khadka
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, 5042, Australia
- Registry of Senior Australians, Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, Australia
| | | | - Julie Ratcliffe
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, 5042, Australia
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Druery M, Das A, Warren J, Newcombe PA, Lipman J, Cameron CM. The 'AfterBurn' Longitudinal Exploratory (ABLE) study: Cohort profile. Injury 2024; 55:111908. [PMID: 39366136 DOI: 10.1016/j.injury.2024.111908] [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: 04/19/2024] [Revised: 09/08/2024] [Accepted: 09/15/2024] [Indexed: 10/06/2024]
Abstract
With advanced medical treatments more burns patients survive their injuries, requiring a better understanding of the quality-of-life outcomes experienced after the burn. The aims of the ABLE study cohort profile are to describe the baseline characteristics. The study included participants aged 18 years or over, admitted to a single state-wide burns centre in Queensland, Australia with a 'major burn injury'. Baseline survey data were collected either in person or by telephone within 28 days of the injury and participants were followed up with in-person, or telephone interviews at 3-, 6- and 12-months post-burn. Injury and burns treatment information were collected from medical records or the hospital database and surveys collected demographic and psychosocial data. Health-Related Quality of Life (HRQoL) data were collected using the 12-item Short Form Survey - version 1 (SF-12v1) and the Burn Specific Health Scale - Brief version (BSHS-B). Of the 274 participants recruited, 71.5 % (N = 196) remained enrolled in the study at 12 months post-burn. The median age for the cohort was 41.5 years (range 18 to 87 years) and the majority were male (72 %) as well as non-Indigenous Australians (76 %). The median Total Body Surface Area (TBSA) burned was 4.75 % (IQR=1.5-10.13) with a range of 0.1 % to 79.75 %. The largest percentage of participants sustained a flame burn (N = 129, 47.1 %) followed by scald (N = 56, 20.4 %) then contact burn (N = 54, 19.7 %). Fewer participants were injured by chemical (N = 14, 5.1 %), friction (N = 11, 4 %), and electrical burns (N = 6, 2.2 %). There were 37.9 % participants who reported having been diagnosed with a psychological condition prior to their burn injury. These findings provide an overview of baseline characteristics with a greater understanding of personal, environmental, burn injury and burn treatment factors in a state-wide burn centre.
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Affiliation(s)
| | - Arpita Das
- Jamieson Trauma Institute, Australia; Queensland University of Technology, Australia.
| | - Jacelle Warren
- Jamieson Trauma Institute, Australia; Queensland University of Technology, Australia
| | | | - Jeffrey Lipman
- The University of Queensland, Australia; Jamieson Trauma Institute, Australia
| | - Cate M Cameron
- Jamieson Trauma Institute, Australia; Queensland University of Technology, Australia
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Seyringer S, Pilz MJ, Bottomley A, King MT, Norman R, Gamper EM. Cancer-specific utility: clinical validation of the EORTC QLU-C10D in patients with glioblastoma. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2024:10.1007/s10198-024-01729-4. [PMID: 39565523 DOI: 10.1007/s10198-024-01729-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 09/25/2024] [Indexed: 11/21/2024]
Abstract
INTRODUCTION Many health economic evaluations rely on the validity of the utility measurement for health-related quality of life (HRQoL). While generic utility measures perform well in HRQoL assessments of many diseases and patient populations, appropriateness for cancer-specific disease burdens needs attention and condition-specific measures could be a viable option. This study assessed the clinical validity of the cancer-specific EORTC QLU-C10D, a utility scoring algorithm for the EORTC QLQ-C30, in patients with glioblastoma. We expect the EORTC QLU-C10D to be sensitive and responsive in glioblastoma patients. Furthermore, we compared its statistical efficiency with the generic utility measure EQ-5D-3L. METHODS We used data from a multi-center randomized controlled trial (NCT00689221) with patients from 146 study sites in 25 countries. Both, the QLQ-C30 and the EQ-5D-3L, had been administered at seven assessment points together. Utilities of both measures were calculated for four country value set (Australia, Canada, UK, USA). Ceiling effects, agreement (Bland-Altman plots (BA), intra-class correlation (ICC)), were calculated to analyze construct validity. Sensitivity to known-groups (performance status; global health) and responsiveness to changes (progressive vs. non-progressive; stable vs. improved or deteriorated HRQoL) were investigated for clinical validity. Relative Efficiency (RE) was calculated to compare statistical efficiency of both utility measures. RESULTS 435 patients were included at baseline and six subsequent time points (median timeframe 497 days). QLU-C10D country value set showed negligible ceiling effects (< 6.7%) and high agreement with EQ-5D-3L (ICC > 0.750). BA indicated that differences between both utility measures increased with deteriorating health states. While the QLU-C10D was more sensitive to global health groups (RE > 1.2), the EQ-5D-3L was more sensitive to performance status groups (RE < 0.7) than the other utility measure. Statistical efficiency to detect differences between change groups and within HRQoL deterioration group (RE > 1.4) favored QLU-C10D in 18 of 24 (75%) and 20 of 24 (83%) comparisons with the EQ-5D-3L respectively. Responsiveness to overall HRQoL change (RE > 3.4) also favored the QLU-C10D. CONCLUSION Our results indicate that the QLU-C10D is a valid utility measure to assess HRQoL in patients with glioblastoma. This facilitates the investigation of HRQoL profiles and utilities in this patient population by administering a single questionnaire, the EORTC QLQ-C30. Efficiency analyses point to higher statistical power of the QLU-C10D compared to the EQ-5D-3L.
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Affiliation(s)
- Simone Seyringer
- Department for Psychiatry, Psychotherapy and Psychosomatic Medicine,University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria
- Department of Social Psychology, Personnel Development and Adult Education, Johannes Kepler University Linz, Linz, Austria
- Department of Nuclear Medicine, Medical University of Innsbruck, 6020, Innsbruck, Austria
| | - Micha J Pilz
- Department for Psychiatry, Psychotherapy and Psychosomatic Medicine,University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria
| | - Andrew Bottomley
- European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | - Madeleine T King
- School of Psychology, University of Sydney, Camperdown, NSW, Australia
| | - Richard Norman
- School of Population Health, Curtin University, Perth, WA, Australia
| | - Eva M Gamper
- Department for Psychiatry, Psychotherapy and Psychosomatic Medicine,University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
- Department of Nuclear Medicine, Medical University of Innsbruck, 6020, Innsbruck, Austria.
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Webb PM, Brown A, Brown B, Collins LG, Crawford Williams F, Doupain K, Eastgate M, Fennelly V, Girgis A, Hartel G, Ladwa R, Martin K, Mason R, McGuire P, Miller E, O’Brien S, Packer R, Pinkham MB, Sabesan S, Sanmugarajah J, Slapp G, Tapsall D, White J, Wishart LR, Wyld D, Chan RJ. Patient Reported Outcome Measures in cancer care: a hybrid effectiveness-Implementation trial to optimise Symptom control and health service Experience (PROMISE)-protocol for a randomised controlled trial of electronic self-reporting of symptoms versus usual care during and following treatment in patients with cancer. BMJ Open 2024; 14:e090836. [PMID: 39566946 PMCID: PMC11580250 DOI: 10.1136/bmjopen-2024-090836] [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: 07/05/2024] [Accepted: 09/12/2024] [Indexed: 11/22/2024] Open
Abstract
INTRODUCTION Routine collection of patient-reported outcome measures (PROMs) has the potential to inform and improve cancer care. It is now feasible for patients to complete PROMs electronically (ePROMs) providing information about their current levels of symptoms, side effects of treatment and other concerns. PROM scores can be tracked over time allowing more timely identification of problems and more appropriate intervention. Studies have reported clear benefits in patient-clinician communication when PROMs are used and trials in the USA and France found patients randomised to complete regular ePROMs reported better health-related quality of life, had fewer unplanned hospital visits and, importantly, significantly better survival than those randomised to usual care. However, information about the effects on health outcomes and, particularly, the cost-effectiveness of incorporating this information into practice is limited. METHODS AND ANALYSIS PROMISE (Patient Reported Outcome Measures in cancer care: a hybrid effectiveness-Implementation trial to optimise Symptom control and health service Experience) is a multicentre, randomised hybrid effectiveness/implementation trial to evaluate the clinical and cost-effectiveness of using ePROMs in routine cancer care to improve patient outcomes. Participants (target sample=572; randomised 1:1 to intervention and control) are adults aged 18 years or older diagnosed with a solid cancer and starting treatment at one of the four study hospitals. The primary outcomes are unplanned hospital presentations and physical/functional well-being at 6 months. We hypothesise that, compared with usual care, patients randomised to use an ePROM tool will have fewer unplanned hospital presentations, report better health-related quality of life and greater satisfaction with their care and that the ePROM tool will be cost-effective. We will also assess implementation and process outcomes consistent with the RE-AIM (Reach Effectiveness Adoption Implementation Maintenance) Framework. ETHICS AND DISSEMINATION This trial has been approved by the Metro South Human Research Ethics Committee (HREC/2020/QMS/67441). Participants provide written informed consent, including consent for record linkage, prior to completing the baseline questionnaire. Study results will be disseminated via peer-reviewed journals and presentations at scientific conferences and clinical meetings. TRIAL REGISTRATION NUMBER ACTRN12620001290987.
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Affiliation(s)
- Penelope M Webb
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Public Health, The University of Queensland, Herston, Queensland, Australia
| | - Amy Brown
- Townsville University Hospital, Townsville, Queensland, Australia
| | - Bena Brown
- School of Public Health, The University of Queensland, Herston, Queensland, Australia
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
| | - Louisa G Collins
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Public Health, The University of Queensland, Herston, Queensland, Australia
- Cancer and Palliative Care Outcomes Centre, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Fiona Crawford Williams
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Kerrie Doupain
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
| | - Melissa Eastgate
- Cancer Care Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | - Vicki Fennelly
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Afaf Girgis
- South West Sydney Clinical Campuses, UNSW Medicine & Health, University of New South Wales, Kensington, New South Wales, Australia
| | - Gunter Hartel
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- School of Public Health, The University of Queensland, Herston, Queensland, Australia
- Griffith Institute for Drug Discovery, Griffith University, Nathan Campus, Nathan, Queensland, Australia
| | - Rahul Ladwa
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | - Karen Martin
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Robert Mason
- Gold Coast University Hospital, Southport, Queensland, Australia
| | - Peter McGuire
- Cancer Care Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
| | - Elizabeth Miller
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- Consumer Partner, Metro South Health, Eight Mile Plains, Queensland, Australia
| | - Suzanne O’Brien
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Rebecca Packer
- School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Queensland, Australia
| | - Mark B Pinkham
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | - Sabe Sabesan
- Townsville University Hospital, Townsville, Queensland, Australia
| | - Jasotha Sanmugarajah
- Gold Coast University Hospital, Southport, Queensland, Australia
- School of Medicine and Dentistry, Griffith University, Southport, Queensland, Australia
| | - Georgia Slapp
- Townsville University Hospital, Townsville, Queensland, Australia
| | - Doreen Tapsall
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
| | - Jeanie White
- Gold Coast University Hospital, Southport, Queensland, Australia
| | - Laurelie R Wishart
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Queensland, Australia
- Centre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, Nathan Campus, Nathan, Queensland, Australia
| | - David Wyld
- Cancer Care Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | - Raymond J Chan
- Division of Cancer Services, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
- Cancer and Palliative Care Outcomes Centre, Queensland University of Technology, Brisbane, Queensland, Australia
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
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Tarekegn TB, Gebrie D, Kassaw AT, Dagne Taye A, Girmaw F, Ashagrie G. Evaluating health-related quality of life in Ethiopia: systematic review and meta-analysis of EQ-5D-based studies. FRONTIERS IN EPIDEMIOLOGY 2024; 4:1455822. [PMID: 39553423 PMCID: PMC11563791 DOI: 10.3389/fepid.2024.1455822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Accepted: 10/10/2024] [Indexed: 11/19/2024]
Abstract
Background Health-related quality of life (HRQoL) is crucial for understanding how health conditions impact overall well-being. The EuroQol-5 Dimension (EQ-5D) is a widely used tool for measuring HRQoL across diseases. In Ethiopia, this tool has been employed to assess HRQoL across various healthcare settings. This study aims to summarize EQ-5D-derived health outcomes in Ethiopian populations and identify key determinants influencing these outcomes. Methods A systematic search of PubMed, Embase, and Scopus was conducted through May 2024, with no publication date restrictions, focusing on HRQoL and EQ-5D instruments in Ethiopian populations. Grey literature searches were also performed using Google's Advanced Search. Cross-sectional studies across various diseases were included. Data were extracted by two independent reviewers, and pooled mean EQ-5D utility and EQ-5D visual analog scale (EQ-VAS) scores were calculated using a random-effects model in STATA software version 17. Study quality was evaluated using the Agency for Healthcare Research and Quality (AHRQ) checklist, and heterogeneity was assessed using the I² statistic. Results Fourteen cross-sectional studies involving 5,639 patients from 2019 to 2024 in Ethiopia were analyzed. Health utility values varied across diseases, with pain/discomfort and anxiety/depression being the most commonly affected dimensions. The pooled EQ-5D utility for HIV patients was 0.88, and the EQ-VAS score was 76.59. For diabetes mellitus (DM) patients, the pooled utility was 0.78, and the EQ-VAS score was 69.36. For COVID-19 patients, the pooled utility was 0.86, and the EQ-VAS score was 74.56. Cancer patients had a pooled EQ-VAS score of 67.87. Conclusion The EQ-5D is a reliable tool for measuring HRQoL in Ethiopian patients across various diseases. The study's pooled EQ-5D scores provide valuable insights for future economic evaluations in the Ethiopian healthcare system. Systematic Review Registration https://doi.org/10.1136/bmjopen-2024-085354, PROSPERO (CRD42024505028).
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Affiliation(s)
- Tenaw Baye Tarekegn
- Department of Pharmacy, College of Health Science, Woldia University, Woldia, Ethiopia
| | - Desye Gebrie
- Department of Pharmacy, College of Health Science, Woldia University, Woldia, Ethiopia
| | - Abebe Tarekegn Kassaw
- Department of Pharmacy, College of Health Science, Woldia University, Woldia, Ethiopia
| | - Abebe Dagne Taye
- Department of Pharmacy, College of Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Fentaw Girmaw
- Department of Pharmacy, College of Health Science, Woldia University, Woldia, Ethiopia
| | - Getachew Ashagrie
- Department of Pharmacy, College of Health Science, Woldia University, Woldia, Ethiopia
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Bulamu NB, Gebremichael LG, Hines S, Mpundu-Kaambwa C, Pearson V, Dafny HA, Pinero de Plaza MA, Beleigoli A, Kaambwa B, Hendriks JM, Clark RA. Measurement properties of utility-based health-related quality of life measures in cardiac rehabilitation and secondary prevention programs: a systematic review. Qual Life Res 2024; 33:2299-2320. [PMID: 38961008 PMCID: PMC11390805 DOI: 10.1007/s11136-024-03657-5] [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: 03/21/2024] [Indexed: 07/05/2024]
Abstract
PURPOSE To identify utility-based patient-reported outcome measures (PROMs) for assessing health-related quality of life (HRQoL) in cardiac rehabilitation and secondary prevention programs (CR) and appraise existing evidence on their measurement properties. Secondly, to link their items to the International Classification of Functioning Disability and Health (ICF) and the International Consortium of Health Outcome Measures (ICHOM) domains for cardiovascular disease (CVD). METHODS Eight databases were searched. The review followed the COSMIN and JBI guidelines for measurement properties systematic reviews and PRISMA 2020 reporting guidelines. Non-experimental and observational empirical studies of patients ≥ 18 years of age with CVD undergoing CR and assessed quality of life (QoL) or HRQoL using utility-based PROMs or one accompanied by health state utilities were included. RESULTS Nine PROMs were identified with evidence on measurement properties for three measures: the German translations of SF-12, EQ-5D-5L, and MacNew heart disease HRQoL questionnaire. There was moderate quality evidence for responsiveness and hypothesis testing of the SF-12 and EQ-5D-5L, and high-quality evidence for responsiveness and hypothesis testing for the MacNew. All items of SF-12 and EQ-5D were linked to ICF categories, but four items of the MacNew were not classified or defined. All the PROM domains were mapped onto similar constructs from the ICHOM global sets. CONCLUSION Three utility-based PROMs validated in CR were identified: the German versions of the EQ-5D and SF-12 and the MacNew questionnaire. These PROMs are linked to a breadth of ICF categories and all ICHOM global sets. Additional validation studies of PROMs in CR are required.
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Affiliation(s)
- Norma B Bulamu
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, University Drive, South Australia (SA), Bedford Park, Adelaide, 5042, Australia.
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Alice Springs, Australia.
| | - Lemlem G Gebremichael
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, University Drive, South Australia (SA), Bedford Park, Adelaide, 5042, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Alice Springs, Australia
| | - Sonia Hines
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Alice Springs, Australia
- Flinders Rural and Remote Health, College of Medicine and Public Health, Flinders University, Alice Springs, Australia
| | - Christine Mpundu-Kaambwa
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
- Economics of Global Health & Infectious Disease Unit, Melbourne Health Economics, Centre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Vincent Pearson
- JBI, School of Public Health, The University of Adelaide, Adelaide, Australia
| | - Hila A Dafny
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, University Drive, South Australia (SA), Bedford Park, Adelaide, 5042, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Alice Springs, Australia
| | - Maria Alejandra Pinero de Plaza
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, University Drive, South Australia (SA), Bedford Park, Adelaide, 5042, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Alice Springs, Australia
- Centre of Research Excellence: Frailty and Healthy Ageing, The University of Adelaide, Adelaide, South Australia, 5000, Australia
| | - Alline Beleigoli
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, Australia
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, University Drive, South Australia (SA), Bedford Park, Adelaide, 5042, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Alice Springs, Australia
| | - Billingsley Kaambwa
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Jeroen M Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, University Drive, South Australia (SA), Bedford Park, Adelaide, 5042, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Alice Springs, Australia
- Centre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia
| | - Robyn A Clark
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, University Drive, South Australia (SA), Bedford Park, Adelaide, 5042, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Alice Springs, Australia
- Southern Adelaide Local Health Network, Bedford Park, South Australia (SA), 5042, Australia
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Ross A, Kim J, McKay M, Pappas E, Hardaker N, Whalan M, Peek K. The economics of a national anterior cruciate ligament injury prevention program for amateur football players: a Markov model analysis. Med J Aust 2024; 221:149-155. [PMID: 38992929 DOI: 10.5694/mja2.52385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/15/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVES To estimate the long term cost savings, return on investment, and gain in quality-adjusted life years (QALYs) that could be achieved by a national anterior cruciate ligament (ACL) injury prevention program for amateur football (soccer) players in Australia. STUDY DESIGN Markov model decision analysis. SETTING, PARTICIPANTS Two hypothetical scenarios including all amateur football players in Australia (340 253 players): no intervention, and a national ACL injury prevention program. Transitions between health states, including ACL rupture, meniscal injury, knee osteoarthritis, and total knee replacement were made in one-year cycles over 35 years from a societal perspective. MAIN OUTCOME MEASURES Cost savings, return on investment, and QALY gain achieved in the prevention program scenario relative to control scenario, by age group (10-17, 18-34, 35 years or older) and gender. SECONDARY OUTCOMES incidence of ACL rupture, knee osteoarthritis, total knee replacement, and total knee replacement revision. RESULTS The total mean cost of an ACL injury was estimated to be $30 665. The national injury prevention program was projected to save $52 539 751 in medical and societal costs caused by ACL ruptures in amateur footballers over 35 years; the estimated return on each dollar invested in the program was $3.51. Over this period, the number of players with ruptured ACLs could be reduced by 4385 (9%), the number of knee osteoarthritis cases by 780 (8.1%), and the number of total knee replacements by 121 (8.1%); 445 QALYs were gained. CONCLUSION Our findings support investing in a national, evidence-based program for the primary prevention of ACL injuries in amateur football players.
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Affiliation(s)
- Andrew Ross
- The University of Sydney, Sydney, NSW
- Victoria University, Melbourne, VIC
| | - Joosup Kim
- Southern Clinical School, Monash University, Melbourne, VIC
| | - Marnee McKay
- Sydney School of Health Sciences, University of Sydney, Sydney, NSW
| | - Evangelos Pappas
- Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW
| | - Natalie Hardaker
- Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand
- Accident Compensation Corporation, Wellington, New Zealand
| | - Matt Whalan
- Centre of Medical and Exercise Physiology, University of Wollongong, Wollongong, NSW
- Football Australia, Sydney, NSW
| | - Kerry Peek
- Sydney School of Health Sciences, University of Sydney, Sydney, NSW
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Griffin BR, Harvey L, Dimanopoulos TA, Curtis KA, Gillen T, Kimble RM. Examining the impact of a paediatric trauma family support service on the quality of life of injured children: A longitudinal cohort study. J Pediatr Nurs 2024; 77:e356-e365. [PMID: 38735803 DOI: 10.1016/j.pedn.2024.04.052] [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: 11/01/2023] [Revised: 04/21/2024] [Accepted: 04/28/2024] [Indexed: 05/14/2024]
Abstract
PURPOSE We describe and evaluate the introduction of a trauma family support service (TFSS) in an Australian tertiary paediatric hospital. DESIGN AND METHODS A longitudinal mixed-methods cohort study evaluated the effectiveness of the TFSS on quality of life. PedsQL4.0 and EuroQol 5D-Y scores were collected at 6 and 12 months at intervention and non-intervention sites and outcomes were compared using a two-sample t-test. Qualitative data from field notes collected during the administration of the quality-of-life measures were analysed using inductive content analysis. Data were integrated during the interpretation of results to expand and strengthen findings. RESULTS Data from 192 children were collected (intervention site: 104, control site: 88). Significant increases were seen in the PedsQL and EQ-5D-Y scores at the intervention site compared to the control site at both timepoints, indicating an increase in overall health related quality of life. Two main categories were generated from the qualitative analysis: "Psychosocial impact of trauma" and "Access to psychosocial services." CONCLUSIONS The introduction of a dedicated family support service after paediatric injury improved well-being up to 12 months post injury. PRACTICE IMPLICATIONS Healthcare providers should emphasise dedicated family support services for paediatric trauma patients, focusing on their psychosocial needs and ensuring access to suitable resources. Paediatric nurses are a major part of this service and should contribute to future research, co-designing and implementing these improved family support services to better serve families affected by paediatric trauma.
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Affiliation(s)
- Bronwyn R Griffin
- School of Nursing and Midwifery, Griffith University, Level 7, 62 Graham Street, South Brisbane 4101, Queensland, Australia; Queensland Children's Hospital, 501 Stanley Street, South Brisbane 4101, Queensland, Australia.
| | - Lauren Harvey
- Queensland Children's Hospital, 501 Stanley Street, South Brisbane 4101, Queensland, Australia.
| | - Tanesha A Dimanopoulos
- School of Nursing and Midwifery, Griffith University, Level 7, 62 Graham Street, South Brisbane 4101, Queensland, Australia; Queensland Children's Hospital, 501 Stanley Street, South Brisbane 4101, Queensland, Australia.
| | - Kate A Curtis
- Emergency Services, Illawarra Shoalhaven Local Health District, Wollongong Hospital, Loftus Street, Wollongong 2500, New South Wales, Australia; Faculty of Medicine and Health, The University of Sydney, Susan Wakil School of Nursing and Midwifery, Camperdown 2006, New South Wales, Australia.
| | - Tona Gillen
- Queensland Children's Hospital, 501 Stanley Street, South Brisbane 4101, Queensland, Australia.
| | - Roy M Kimble
- Queensland Children's Hospital, 501 Stanley Street, South Brisbane 4101, Queensland, Australia.
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Pilz MJ, Seyringer S, Al-Naesan I, King MT, Bottomley A, Norman R, Schlosser L, Hell T, Gamper EM. Cancer-Specific Health Utilities: Evaluation of Core Measurement Properties of the EORTC QLU-C10D in Lung Cancer Patients-Data from Four Multicentre LUX-Lung Trials, Applying Six Country Tariffs. PHARMACOECONOMICS - OPEN 2024; 8:627-640. [PMID: 38696019 PMCID: PMC11252099 DOI: 10.1007/s41669-024-00484-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/11/2024] [Indexed: 05/15/2024]
Abstract
BACKGROUND Cost-utility analysis generally requires valid preference-based measures (PBMs) to assess the utility of patient health. While generic PBMs are widely used, disease-specific PBMs may capture additional aspects of health relevant for certain patient populations. This study investigates the construct and concurrent criterion validity of the cancer-specific European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Utility-Core 10 dimensions (QLU-C10D) in non-small-cell lung cancer patients. METHODS We retrospectively analysed data from four multicentre LUX-Lung trials, all of which had administered the EORTC Quality of Life Questionnaire (QLQ-C30) and the EQ-5D-3L. We applied six country-specific value sets (Australia, Canada, Italy, the Netherlands, Poland, and the United Kingdom) to both instruments. Criterion validity was assessed via correlations between the instruments' utility scores. Correlations of divergent and convergent domains and Bland-Altman plots investigated construct validity. Floor and ceiling effects were assessed. RESULTS The comparison of the EORTC QLU-C10D and EQ-5D-3L produced homogenous results for five of the six country tariffs. High correlations of utilities (r > 0.7) were found for all country tariffs except for the Netherlands. Moderate to high correlations of converging domain pairs (r from 0.472 to 0.718) were found with few exceptions, such as the Social Functioning-Usual Activities domain pair (max. r = 0.376). For all but the Dutch tariff, the EORTC QLU-C10D produced consistently lower utility values compared to the EQ-5D-3L (x̄ difference from - 0.082 to 0.033). Floor and ceiling effects were consistently lower for the EORTC QLU-C10D (max. 4.67% for utilities). CONCLUSIONS The six country tariffs showed good psychometric properties for the EORTC QLU-C10D in lung cancer patients. Criterion and construct validity was established. The QLU-C10D showed superior measurement precision towards the upper and lower end of the scale compared to the EQ-5D-3L, which is important when cost-utility analysis seeks to measure health change across the severity spectrum.
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Affiliation(s)
- Micha J Pilz
- University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria
| | - Simone Seyringer
- Department of Nuclear Medicine, Medical University of Innsbruck, 6020, Innsbruck, Austria
| | - Imad Al-Naesan
- University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria
| | - Madeleine T King
- School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Andrew Bottomley
- Quality of Life Department, European Organisation for Research and Treatment of Cancer, Brussels, Belgium
| | - Richard Norman
- School of Population Health, Curtin University, Perth, WA, Australia
| | - Lisa Schlosser
- Department of Mathematics, University of Innsbruck, Innsbruck, Austria
| | - Tobias Hell
- Department of Mathematics, University of Innsbruck, Innsbruck, Austria
| | - Eva Maria Gamper
- Department of Nuclear Medicine, Medical University of Innsbruck, 6020, Innsbruck, Austria.
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Khanna D, Khadka J, Mpundu-Kaambwa C, Chen G, Dalziel K, Devlin N, Ratcliffe J. An Investigation of Inter-Rater and Intra-Proxy Agreement in Measuring Quality of Life of Children in the Community Using the EQ-5D-Y-3L. PHARMACOECONOMICS 2024; 42:113-128. [PMID: 38280125 PMCID: PMC11169018 DOI: 10.1007/s40273-024-01356-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/09/2023] [Indexed: 01/29/2024]
Abstract
BACKGROUND Self-reporting of health-related quality of life (HRQoL) in children is not always feasible. To date, proxy perspectives (Proxy versions 1 and 2) using the EQ-5D-Y-3L have not been explored for its impact on agreement with child self-report. Proxy version 1 requires the proxy to consider their own view of the child's HRQoL (proxy-proxy), while with Proxy version 2, the proxy is asked to respond as they believe their child would self-report their HRQoL (proxy-child). This study compared the inter-rater and intra-proxy agreement (overall and dimension level) using the EQ-5D-Y-3L self, proxy-proxy, and proxy-child reports. METHODS A community-based sample of child (aged 6-12 years) and parent dyads were invited to participate in a semi-structured interview. The child self-completed the EQ-5D-Y-3L independently of the parent who completed the EQ-5D-Y-3L from proxy-proxy and proxy-child perspectives. Agreement was determined using Concordance Correlation Coefficients (CCCs) for the overall (preference-weighted) HRQoL, while agreement at the dimension level was evaluated using Gwet's agreement coefficient (AC1). To assess the differences between the self and the two proxy reports, the Wilcoxon matched-pair signed-rank test was used. RESULTS This study involved 85 child-parent dyads. The agreement between self and proxy overall HRQoL was low (fair) with both proxy-proxy (CCC = 0.28) and proxy-child (CCC = 0.26) reports. The largest discrepancy in the child-proxy agreement at dimension level with both the proxy versions was observed for 'feeling worried, sad or unhappy'. Within this dimension, the proxy-child perspective resulted in a stronger agreement (AC1 = 0.7, good) with child self-report compared with the traditional proxy-proxy perspective (AC1 = 0.58, moderate). Although the preference-weighted HRQoL was consistent across both the proxy perspectives, a significant difference was observed in the EQ VAS scores (p = 0.02). CONCLUSIONS This study demonstrates that choice of proxy perspective may have an impact on the problems reported on HRQoL dimensions and EQ VAS scores. However, in this community-based sample of generally healthy children, no significant difference was observed in the inter-rater agreement for child-self and proxy preference-weighted EQ-5D-Y-3L values based on proxy perspectives. While this suggests that preference-weighted data are not sensitive to the choice of perspective, these findings may differ for different HRQoL instruments and for alternative value sets with different properties.
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Affiliation(s)
- Diana Khanna
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, 5042, Australia.
| | - Jyoti Khadka
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, 5042, Australia
- Registry of Senior Australians, Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Christine Mpundu-Kaambwa
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, 5042, Australia
| | - Gang Chen
- Centre for Health Economics, Monash University, Caulfield East, VIC, Australia
| | - Kim Dalziel
- Health Economics Unit, University of Melbourne, Melbourne, VIC, Australia
- Health Services and Economics, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Nancy Devlin
- Health Economics Unit, University of Melbourne, Melbourne, VIC, Australia
| | - Julie Ratcliffe
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, 5042, Australia
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Dang Q, Murphy B, Graham RM, Puri A, Ford S, Marschner S, Chong JJH, Zaman S. Patients' perspective of quality-of-care and its correlation to quality-of-life following spontaneous coronary artery dissection. Eur J Cardiovasc Nurs 2024; 23:400-407. [PMID: 37708376 DOI: 10.1093/eurjcn/zvad096] [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: 05/10/2023] [Revised: 09/11/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
AIMS Spontaneous coronary artery dissection (SCAD) is an under-recognized cause of myocardial infarction. We aimed to investigate SCAD survivors' perceptions of their quality-of-care and its relationship to quality-of-life. METHODS AND RESULTS An anonymous survey was distributed online to SCAD survivors involved in Australian SCAD support groups, with 172 (95.3% female, mean age 52.6 ± 9.2 years) participants in the study. The survey involved assessment of quality-of-life using a standardized questionnaire (EQ-5DTM-3L). Respondents rated the quality-of-care received during their hospital admission for SCAD with a median of 8/10 [interquartile range (IQR) 7-10]. Respondents ≤ 50 years vs. >50 years were more likely to perceive that their symptoms were not treated seriously as a myocardial infarction (χ2 = 4.127, df = 1, P < 0.05). Participants rated clinician's knowledge of SCAD with a median of 4/10 (IQR 2-8) and 7/10 (IQR 3-9) for Emergency and Cardiology clinicians, respectively (P < 0.05). The internet was the most selected source (45.4%) of useful SCAD information. The mean EQ-5DTM summary index was 0.79 (population norm 0.87). A total of 47.2% of respondents reported a mental health condition diagnosis, with 36% of these diagnosed after their admission with SCAD. Quality-of-life was significantly associated with perceived quality-of-care: EQ-5DTM index/(1-EQ-5DTM index) increased by 13% for each unit increase in quality-of-care after adjusting for age and comorbidities (P < 0.001). CONCLUSION While SCAD survivors rated their overall hospital care highly, healthcare providers' knowledge of SCAD was perceived to be poor, and the most common source of SCAD information was the internet. Mental health conditions were common, and a significant association was observed between perceived quality-of-care and SCAD survivors' quality-of-life.
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Affiliation(s)
- Quan Dang
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia
| | - Barbara Murphy
- Australian Centre for Heart Health, Melbourne, Australia
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
| | - Robert M Graham
- Victor Chang Cardiac Research Institute, Sydney, Australia
- Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Aniket Puri
- Department of Cardiology, Christchurch Hospital, Christchurch, New Zealand
| | - Sarah Ford
- SCAD Research Incorporated, Sydney, Australia
| | - Simone Marschner
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia
| | - James J H Chong
- Department of Cardiology, Westmead Hospital, Sydney, Australia
- The Westmead Institute for Medical Research, Sydney, Australia
| | - Sarah Zaman
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, 176 Hawkesbury Rd, Westmead, Sydney, NSW 2145, Australia
- Department of Cardiology, Westmead Hospital, Sydney, Australia
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Endo T, Lee XJ, Clemens SL. EQ-5D-5L Population Norms and Quality-Adjusted Life Expectancy by Sociodemographic Characteristics and Modifiable Risk Factors for Adults in Queensland, Australia. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2024; 27:633-641. [PMID: 38423209 DOI: 10.1016/j.jval.2024.02.007] [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: 08/15/2023] [Revised: 01/21/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024]
Abstract
OBJECTIVES Over half of Australia's disease burden is due to morbidity, predominantly chronic conditions. Health-related quality of life instruments provide measures of morbidity and health status across different dimensions with EQ-5D being one of the most widely used. This study reports EQ-5D-5L general population norms for Queensland, Australia using the recently published Australian value set. METHODS Population survey results from cross-sectional computer-assisted telephone interviews for Queensland adults in 2022 and 2023 were analyzed. EQ-5D-5L, as well as modifiable risk factors and sociodemographic data were collected. Using the recently published final Australian EQ-5D-5L value set, mean utility scores were calculated for Queensland, as well as by sociodemographic characteristics, including remoteness and socioeconomic area-based measures, and modifiable risk factors, such as smoking and body mass index. Results were combined with life tables to estimate quality-adjusted life expectancy (QALE) for subgroups with different lifestyles. RESULTS The EQ-5D utility score for the Queensland adult population was 0.916. Smoking daily, being obese or older in age, or living in the most disadvantaged socioeconomic area were associated with lower mean scores. QALE was 6.1 and 7.9 years shorter than the life expectancy for Queensland males and females, respectively, but generally, those who reported having healthier lifestyles had higher mean utility scores and thus longer QALE. CONCLUSIONS In addition to reporting Queensland EQ-5D-5L general population norms, these results demonstrate potential QALE gains in people following healthier lifestyles. The results support investment in prevention and may motivate further studies in this important area.
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Affiliation(s)
- Takuto Endo
- Public Health Intelligence Branch, Queensland Health, Queensland Government, Herston, QLD, Australia.
| | - Xing Ju Lee
- Australian Centre for Health Services Innovation and Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Susan Linden Clemens
- Public Health Intelligence Branch, Queensland Health, Queensland Government, Herston, QLD, Australia
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Xu RH, Sun R, Tian L, Cheung AWL, Wong EL. Health-related quality of life in primary care patients: a comparison between EQ-5D-5L utility score and EQ-visual analogue scale. Health Qual Life Outcomes 2024; 22:2. [PMID: 38172916 PMCID: PMC10765691 DOI: 10.1186/s12955-023-02215-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
OBJECTIVE The EQ-VAS is an important component of the EQ-5D questionnaire. However, there is limited evidence comparing its performance to the EQ-5D utility score, which restricts its use in the population. This study aimed to EQ-5D-5L utility score and EQ-visual analogue scale (EQ-VAS) in primary care patients in Hong Kong (HK). METHODS Secondary data analysis was performed on the data collected from a cross-sectional survey to investigate patient engagement in HK. Participants were recruited through random sampling from a single general outpatient clinic. Trained investigators conducted face-to-face interviews with all eligible patients attending the clinic. Patients who were: 1) ≥ 18 years old, 2) have visited the clinic at least once in the last 6 months, 3) no cognitive problems, and 4) can speak and understand the local language. Pearson correlation was used to explore the association between EQ-5D utility and EQ-VAS score. Ordinary least squares regression and heteroscedastic Tobit regression models were adopted to analyze the EQ-VAS and EQ-5D utility data, respectively. RESULTS The analysis included data from 1,004 responses (response rate = 65%). Around 52.7% of participants were female, 25.9% completed tertiary or above education, and 75.1% living with chronic disease. The mean EQ-5D utility and EQ-VAS score were 0.92 (SD = 0.13) and 72.27 (SD = 14.69), respectively. A significant association was found between EQ-5D utility and EQ-VAS score, with coefficients ranging from 0.335 (participants who divorced) to 0.744 (participants living alone). Around 98.5% reported having no problems with 'Self-care', followed by 'Usual activities' (96.3%), 'Mobility' (91.5%) and 'Anxiety/depression' (79.9%). The correlation between EQ-VAS score and EQ-5D utility was positive for each dimension of the EQ-5D instrument (correlation coefficients ranged between 0.211 and 0.623). Age strongly influenced the magnitude and trajectory of EQ-VAS score and utility, as observed in the changes. The regression model showed that 'Mobility', 'Pain/discomfort', and 'Anxiety/depression' have considerable influence on EQ-VAS score. CONCLUSIONS This study compared the EQ-5D utility score and EQ-VAS in HK primary care setting. Although heterogeneity existed, the EQ-VAS and utility score are significantly correlated and reliable for evaluating health-related quality of life in this population.
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Affiliation(s)
- Richard Huan Xu
- Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong, China.
| | - Ruiqi Sun
- Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong, China
| | - Lidan Tian
- Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong, China
| | - Annie Wai-Ling Cheung
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Eliza Laiyi Wong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
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20
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Larsen EN, Marsh N, Rickard CM, Mihala G, Walker RM, Byrnes J. Health-related quality of life and experience measures, to assess patients' experiences of peripheral intravenous catheters: a secondary data analysis. Health Qual Life Outcomes 2024; 22:1. [PMID: 38167165 PMCID: PMC10762939 DOI: 10.1186/s12955-023-02217-8] [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] [Received: 07/10/2023] [Accepted: 12/07/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Peripheral intravenous catheters (PIVCs) are essential for successful administration of intravenous treatments. However, insertion failure and PIVC complications are common and negatively impact patients' health-outcomes and experiences. We aimed to assess whether generic (not condition-specific) quality of life and experience measures were suitable for assessing outcomes and experiences of patients with PIVCs. METHODS We undertook a secondary analysis of data collected on three existing instruments within a large randomised controlled trial, conducted at two adult tertiary hospitals in Queensland, Australia. Instruments included the EuroQol Five Dimension - Five Level (EQ5D-5L), the Functional Assessment of Chronic Illness Therapy - Treatment Satisfaction - General measure (FACIT-TS-G, eight items), and the Australian Hospital Patient Experience Question Set (AHPEQS, 12 items). Responses were compared against two clinical PIVC outcomes of interest: all-cause failure and multiple insertion attempts. Classic descriptives were reported for ceiling and floor effects. Regression analyses examined validity (discrimination). Standardised response mean and effect size (ES) assessed responsiveness (EQ5D-5L, only). RESULTS In total, 685 participants completed the EQ5D-5L at insertion and 526 at removal. The FACIT-TS-G was completed by 264 and the AHPEQS by 262 participants. Two FACIT-TS-G items and one AHPEQS item demonstrated ceiling effect. Instruments overall demonstrated poor discrimination, however, all-cause PIVC failure was significantly associated with several individual items in the instruments (e.g., AHPEQS, 'unexpected physical and emotional harm'). EQ5D-5L demonstrated trivial (ES < 0.20) responsiveness. CONCLUSIONS Initial investigation of an existing health-related quality of life measure (EQ5D-5L) and two patient-reported experience measures (FACIT-TS-G; AHPEQS) suggest they are inadequate (as a summary measure) to assess outcomes and experiences for patients with PIVCs. Reliable instruments are urgently needed to inform quality improvement and benchmark standards of care.
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Affiliation(s)
- Emily N Larsen
- School of Nursing and Midwifery, Griffith University, Nathan, Australia.
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Building 34, Corner Bowen Bridge Rd and Butterfield St, Herston, QLD, 4029, Australia.
- Patient-Centred Health Services, Menzies Health Institute Queensland, NHMRC Centre of Research Excellence in Wiser Wound Care, Griffith University, Nathan, Australia.
- Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia.
- School of Nursing, Midwifery and Social Work, The University of Queensland Centre for Clinical Research, Herston, QLD, Australia.
| | - Nicole Marsh
- School of Nursing and Midwifery, Griffith University, Nathan, Australia
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Building 34, Corner Bowen Bridge Rd and Butterfield St, Herston, QLD, 4029, Australia
- Patient-Centred Health Services, Menzies Health Institute Queensland, NHMRC Centre of Research Excellence in Wiser Wound Care, Griffith University, Nathan, Australia
- Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia
- School of Nursing, Midwifery and Social Work, The University of Queensland Centre for Clinical Research, Herston, QLD, Australia
| | - Claire M Rickard
- School of Nursing and Midwifery, Griffith University, Nathan, Australia
- Nursing and Midwifery Research Centre, Royal Brisbane and Women's Hospital, Building 34, Corner Bowen Bridge Rd and Butterfield St, Herston, QLD, 4029, Australia
- Patient-Centred Health Services, Menzies Health Institute Queensland, NHMRC Centre of Research Excellence in Wiser Wound Care, Griffith University, Nathan, Australia
- Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia
- School of Nursing, Midwifery and Social Work, The University of Queensland Centre for Clinical Research, Herston, QLD, Australia
- Herston Infectious Diseases Institute, Metro North Health, Herston, QLD, Australia
| | - Gabor Mihala
- Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia
- Centre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, Nathan, QLD, Australia
| | - Rachel M Walker
- School of Nursing and Midwifery, Griffith University, Nathan, Australia
- Patient-Centred Health Services, Menzies Health Institute Queensland, NHMRC Centre of Research Excellence in Wiser Wound Care, Griffith University, Nathan, Australia
- Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia
- Division of Surgery, Princess Alexandra Hospital, Metro South Health, Brisbane, QLD, Australia
| | - Joshua Byrnes
- Alliance for Vascular Access Teaching and Research, Griffith University, Nathan, Australia
- Centre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, Nathan, QLD, Australia
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Byrnes J, Ward L, Jensen S, Sagoo M, Charles D, Mann R, Nghiem S, Finch J, Gavaghan B, McBride LJ, Lazzarini PA. Health-related quality of life in people with different diabetes-related foot ulcer health states: A cross-sectional study of healed, non-infected, infected, hospitalised and amputated ulcer states. Diabetes Res Clin Pract 2024; 207:111061. [PMID: 38104903 DOI: 10.1016/j.diabres.2023.111061] [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: 07/18/2023] [Revised: 11/20/2023] [Accepted: 12/15/2023] [Indexed: 12/19/2023]
Abstract
AIMS Diabetes-related foot ulcers (DFU) are a leading cause of infection, hospitalisation and amputation. However, to our knowledge no studies have compared the health-related quality of life (HRQoL) of people with DFU that were infected, hospitalised or amputated. This study aimed to investigate and compare the HRQoL of different groups of people with healed, non-infected, infected, hospitalised, or amputated DFU. METHODS This was a multi-centre cross-sectional study measuring the HRQoL of patients, attending one of 18 Diabetic Foot Services across Queensland, Australia, with one of five DFU health states: healed, non-infected, infected, hospitalised, amputated. HRQoL was measured using the EQ-5D-5L to estimate age-sex adjusted utility values. RESULTS Of 376 included patients (mean age 63 (12) years, 75% male), age-sex adjusted HRQoL utility estimates (95% CIs) were: healed DFU 0.57 (0.51-0.64), non-infected DFU 0.55 (0.49-0.62), infected DFU 0.45 (0.36-0.55), hospitalised DFU 0.53 (0.42-0.64), and amputated DFU 0.55 (0.46-0.63). CONCLUSION People in any DFU health state have considerably reduced HRQoL, with greatest reductions in those with infected DFU. These findings provide valuable HRQoL estimates and comparisons for several different important DFU health states, adding to our understanding of the impact of DFU on HRQoL and facilitating future economic evaluations.
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Affiliation(s)
- Joshua Byrnes
- Centre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, Brisbane, Queensland, Australia.
| | - Lauren Ward
- Centre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, Brisbane, Queensland, Australia
| | - Sarah Jensen
- Allied Health Research Collaborative, The Prince Charles Hospital, Brisbane, Queensland, Australia
| | - Manjeet Sagoo
- Diabetes Resource Centre, Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia
| | - Danielle Charles
- Cairns Diabetes Centre, Cairns and Hinterland Hospital and Health Service, and Metro North Hospital and Health Service, Queensland, Australia
| | - Rebecca Mann
- Chronic Disease Brisbane South, Community and Oral Health, Inala Community Health Centre, Metro South Health, Queensland, Australia
| | - Son Nghiem
- Centre for Applied Health Economics, School of Medicine and Dentistry, Griffith University, Brisbane, Queensland, Australia
| | - Jennifer Finch
- Office of the Chief Allied Health Officer, Clinical Excellence Queensland, Queensland Health, Brisbane, Queensland, Australia
| | - Belinda Gavaghan
- Office of the Chief Allied Health Officer, Clinical Excellence Queensland, Queensland Health, Brisbane, Queensland, Australia
| | - Liza-Jane McBride
- Office of the Chief Allied Health Officer, Clinical Excellence Queensland, Queensland Health, Brisbane, Queensland, Australia
| | - Peter A Lazzarini
- Allied Health Research Collaborative, The Prince Charles Hospital, Brisbane, Queensland, Australia; School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
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Nehme E, Nehme Z. Comparing the EQ-5D-3L with the EQ-5D-5L in out-of-hospital cardiac arrest survivors. Resuscitation 2024; 194:110070. [PMID: 38043855 DOI: 10.1016/j.resuscitation.2023.110070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 12/05/2023]
Affiliation(s)
- Emily Nehme
- Centre for Research and Evaluation, Ambulance Victoria, Victoria, Australia; School of Public Health and Preventive Medicine, Monash University, Victoria, Australia.
| | - Ziad Nehme
- Centre for Research and Evaluation, Ambulance Victoria, Victoria, Australia; School of Public Health and Preventive Medicine, Monash University, Victoria, Australia; Department of Paramedicine, Monash University, Victoria, Australia.
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Khanna D, Khadka J, Mpundu-Kaambwa C, Ratcliffe J. Child-Parent Agreement in the Assessment of Health-Related Quality of Life Using the CHU9D and the PedsQL TM. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2023; 21:937-947. [PMID: 37773319 PMCID: PMC10627990 DOI: 10.1007/s40258-023-00831-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/03/2023] [Indexed: 10/01/2023]
Abstract
OBJECTIVE This study examined the inter-rater agreement between child-self and parental proxy health-related quality of life (HRQoL) ratings (overall and domain level) using two different generic child-specific measures, the Child Health Utility 9D (CHU9D) and the Pediatric Quality of Life Inventory (PedsQLTM), in a community-based sample of Australian children. A secondary objective was to investigate the impact of age on child-parent agreement across the dimensions of the two measures. METHODS A total of 85 child-parent dyads (children aged 6-12 years) recruited from the community completed the self and proxy versions of the CHU9D and the PedsQLTM, respectively. The inter-rater agreement was estimated using Concordance Correlation Coefficients (CCC) and Gwet's Agreement Coefficient (AC1) for the overall sample and across age-groups. RESULTS Agreement was low for overall HRQoL for both the CHU9D (CCC = 0.28) and the PedsQLTM (CCC = 0.39). Across the CHU9D dimensions, agreement was the highest for 'sad' (AC1 = 0.83) and lowest for 'tired' (AC1 = 0.31). The PedsQLTM demonstrated stronger agreement (AC1 = 0.41-0.6) for the physical health dimension but weaker for the psychosocial dimensions (AC1 < 0.4). Except for the 'tired' dimension, agreement was consistent across age-groups with the CHU9D, whilst the PedsQLTM showed poor agreement for most of the psychosocial health items among the older age-groups only (8-10 and 11-12 years). CONCLUSION This study highlights that the agreement between child and parent proxy reported HRQoL may be influenced by both the measure used and the age of the child. These findings may have implications for the economic evaluation of healthcare interventions and services in child populations when both child and proxy perspectives are considered in the assessment of child HRQoL.
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Affiliation(s)
- Diana Khanna
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia.
| | - Jyoti Khadka
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
- Registry of Senior Australians, Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Christine Mpundu-Kaambwa
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Julie Ratcliffe
- Health and Social Care Economics Group, Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
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24
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Cheng Q, Bajis S, Cunningham E, Shih STF, Schulz M, Marshall AD, Martin NK, Miners A, Hajarizadeh B, Wiseman V, Dore GJ, Grebely J. Health-related quality of life among people who inject drugs in Australia. Qual Life Res 2023; 32:3195-3207. [PMID: 37351701 PMCID: PMC10522523 DOI: 10.1007/s11136-023-03465-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 06/24/2023]
Abstract
PURPOSE There is limited research on health-related quality of life (HRQoL) among people who inject drugs (PWID). We aimed to evaluate factors associated with HRQoL among a cohort of PWID in Australia. METHODS Participants were enrolled in an observational cohort study (the LiveRLife Study) between 2014 and 2018 at 15 sites in Australia. They provided fingerstick whole-blood samples for point-of-care HCV RNA testing and underwent transient elastography to assess liver disease. Participants completed the EQ-5D-3L survey at enrolment. Regression models were used to assess the impact of clinical and socioeconomic characteristics on the EQ-5D-3L scores. RESULTS Among 751 participants (median age, 43 years; 67% male), 63% reported injection drug use in the past month, 43% had current HCV infection, and 68% had no/mild liver fibrosis (F0/F1). The mean EQ-5D-3L and EQ-VAS scores were 0.67 and 62, respectively, for the overall study population. There was no significant difference in the EQ-5D-3L scores among people with and without recent injecting drug use (mean: 0.66 vs. 0.68, median: 0.73 vs. 0.78, P = 0.405), and among people receiving and not receiving opioid agonist therapy (mean: 0.66 vs. 0.68, median: 0.73 vs. 0.76, P = 0.215). Participants who were employed were found to have the highest mean EQ-5D-3L (0.83) and EQ-VAS scores (77). The presence of current HCV infection, liver fibrosis stage, and high-risk alcohol consumption had little impact on HRQoL. CONCLUSIONS The study findings provide important HRQoL data for economic evaluations, useful for guiding the allocation of resources for HCV elimination strategies and interventions among PWID.
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Affiliation(s)
- Qinglu Cheng
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia.
| | - Sahar Bajis
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Evan Cunningham
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Sophy T F Shih
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Marcel Schulz
- St Vincent's Clinical School, UNSW Medicine, Sydney, NSW, Australia
- Department of Clinical Pharmacology and Toxicology, St Vincent's Hospital, Sydney, NSW, Australia
| | - Alison D Marshall
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
- Centre for Social Research in Health, UNSW Sydney, Sydney, NSW, Australia
| | - Natasha K Martin
- Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA, USA
| | - Alec Miners
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Behzad Hajarizadeh
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Virginia Wiseman
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
- Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, UK
| | - Gregory J Dore
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
| | - Jason Grebely
- The Kirby Institute, UNSW Sydney, Wallace Wurth Building, High Street, Kensington, Sydney, NSW, 2052, Australia
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Sheen D, Peasgood T, Goranitis I. Eliciting Societal Preferences for Non-health Outcomes: A Person Trade-Off Study in the Context of Genomics. Clin Ther 2023; 45:710-718. [PMID: 37524571 DOI: 10.1016/j.clinthera.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/09/2023] [Accepted: 07/10/2023] [Indexed: 08/02/2023]
Abstract
PURPOSE Economic evaluations of health technologies traditionally aim to maximize population health outcomes measured by using quality-adjusted life-years (QALYs). Non-health outcomes, however, may have high social value, and their exclusion has the potential to bias decisions regarding allocation of health care resources. This research positions Australian participants as societal decision-makers to explore their willingness to trade-off health gains in adults for non-health benefits in families with a child affected by a rare disease. METHODS To estimate the social value of the different health care interventions, a person trade-off (PTO) method was used. PTOs present participants with groups of beneficiaries that vary in terms of the number of individuals who will benefit, the individuals' characteristics, their expected benefits, or a combination, and ask which group should be prioritized. Each trade-off presented health gains from the treatment of moderate physical and mental health conditions described by the 3-level version of the EuroQol 5-Dimension (EQ-5D-3L) health states. The health gains in these groups were traded-off against non-health gains in families accessing diagnostic genomic testing, and equivalence values were calculated, using median and ratio of means methods, based on the ratio of the group sizes at the point of equivalence. Participants were recruited through Prolific and were stratified according to age, sex, and education. The impact of participant characteristics on equivalence values was assessed using Kruskal-Wallis H tests and ordinary least-squares log-linear regressions. FINDINGS Participants (N = 434) positioned as societal decision-makers were generally willing to trade-off adult health gains with the familial non-health benefits of genomic testing, showing a preference for valuing both types of outcomes within public health policy. The aggregation of preferences generated 2 weightings for genomic testing against each health treatment, an unadjusted value and a reweighted value to match target demographic characteristics. Converted into QALY value per test, it was found that participants valued the non-health benefits of genomic testing between 0.730 and 0.756 QALY. A minority of participants always prioritized diagnostic genomic testing over the physical (6.0%) or mental (4.6%) health treatments, with a larger minority always prioritizing the physical (15.4%) or mental (14.8%) health treatments. IMPLICATIONS The findings indicate that participants perceived the non-health parental benefits in children experiencing rare disease to have comparable value to health gains in adults experiencing the moderate physical or mental health conditions described using EQ-5D-3L. These findings suggest that the benefits of genomic tests would be underestimated if only health benefits are included in economic evaluations.
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Affiliation(s)
- Daniel Sheen
- Graduate School of Humanities and Social Sciences, University of Melbourne, Melbourne, Victoria, Australia; Health Economics Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Tessa Peasgood
- Health Economics Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Ilias Goranitis
- Health Economics Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia; Australian Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
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26
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Patterson BE, Emery C, Crossley KM, Culvenor AG, Galarneau JM, Jaremko JL, Toomey CM, Guermazi A, Whittaker JL. Knee- and Overall Health-Related Quality of Life Following Anterior Cruciate Ligament Injury: A Cross-sectional Analysis of Australian and Canadian Cohorts. J Orthop Sports Phys Ther 2023; 53:402–413. [PMID: 37289467 DOI: 10.2519/jospt.2023.11838] [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] [Indexed: 06/09/2023]
Abstract
OBJECTIVE: To describe the knee- and overall health-related quality of life (QOL) 3 to 12 years after anterior cruciate ligament (ACL) tear, and to assess the association of clinical and structural features with QOL after ACL tear. DESIGN: Cross-sectional analysis of combined data from Australian (n = 76, 5.4 years postinjury) and Canadian (n = 50, 6.6 years postinjury) prospective cohort studies. METHODS: We conducted a secondary analysis of patient-reported outcomes and index knee magnetic resonance imaging (MRI) acquired in 126 patients (median 5.5 [range: 4-12] years postinjury), all treated with ACL reconstruction. Outcomes included knee (ACL Quality of Life questionnaire [ACL-QOL]) and overall health-related QOL (EQ-5D-3L). Explanatory variables were self-reported knee pain (Knee Injury and Osteoarthritis Outcome Score [KOOS-Pain subscale]) and function (KOOS-Sport subscale), and any knee cartilage lesion (MRI Osteoarthritis Knee Score). Generalized linear models were adjusted for clustering between sites. Covariates were age, sex, time since injury, injury type, subsequent knee injuries, and body mass index. RESULTS: The median [range] ACL-QOL score was 82 [24-100] and EQ-5D-3L was 1.0 [-0.2 to 1.0]. For every 10-point higher KOOS-Sport score, the ACL-QOL score increased by 3.7 points (95% confidence interval [CI]: 1.7, 5.7), whereas there was no evidence of an association with the EQ-5D-3L (0.00 points, 95% CI: -0.02, 0.02). There were no significant association between KOOS-Pain and ACL-QOL (4.9 points, 95% CI: -0.1, 9.9) or EQ-5D-3L (0.05 points, 95% CI: -0.01, 0.11), respectively. Cartilage lesions were not associated with ACL-QOL (-1.2, 95% CI: -5.1, 2.7) or EQ-5D-3L (0.01, 95% CI: -0.01, 0.04). CONCLUSION: Self-reported function was more relevant for knee-related QOL than knee pain or cartilage lesions after ACL tear. Self-reported function, pain, and knee structural changes were not associated with overall health-related QOL. J Orthop Sports Phys Ther 2023;53(7):1-12. Epub: 8 June 2023. doi:10.2519/jospt.2023.11838.
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Affiliation(s)
- Brooke E Patterson
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Australian International Olympic Committee Research Centre, La Trobe University, Melbourne, Australia
| | - Carolyn Emery
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
- Departments of Pediatrics and Community Health Sciences, Cumming School of Medicine, University of Calgary Calgary, Alberta, Canada
- McCaig Institute for Bone and Joint Health, University of Calgary Calgary Alberta, Canada
| | - Kay M Crossley
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Australian International Olympic Committee Research Centre, La Trobe University, Melbourne, Australia
| | - Adam G Culvenor
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Australia
- Australian International Olympic Committee Research Centre, La Trobe University, Melbourne, Australia
| | - Jean-Michel Galarneau
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Jacob L Jaremko
- Department of Radiology and Diagnostic Imaging, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Clodagh M Toomey
- School of Allied Health, Faculty of Education and Health Sciences, University of Limerick, Limerick, Ireland
| | - Ali Guermazi
- Department of Radiology, Boston University School of Medicine, Boston, MA
| | - Jackie L Whittaker
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Bristish Columbia, Canada
- Arthritis Research Canada, Vancouver, Bristish Columbia, Canada
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27
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Cheng Q, Cunningham EB, Shih S, Amin J, Bruneau J, Artenie AA, Powis J, Litwin AH, Cooper C, Dalgard O, Hellard M, Bruggmann P, Marks P, Lacombe K, Stedman C, Read P, Hajarizadeh B, Dunlop AJ, Conway B, Feld JJ, Dore GJ, Grebely J. Patient-Reported Outcomes During and After Hepatitis C Virus Direct-Acting Antiviral Treatment Among People Who Inject Drugs. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:883-892. [PMID: 36646278 DOI: 10.1016/j.jval.2022.12.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/29/2022] [Accepted: 12/20/2022] [Indexed: 06/04/2023]
Abstract
OBJECTIVES People who inject drugs (PWID) are at a high risk of hepatitis C virus (HCV) infection. HCV cure is associated with improved patient-reported outcomes (PROs), but there are little data among PWID. This study aimed to assess the change in PROs during and after HCV direct-acting antiviral (DAA) treatment. METHODS This analysis used data from 2 clinical trials of DAA treatment in PWID. PROs assessed included health-related quality of life, social functioning, psychological distress, housing, and employment. Generalized estimating equations and group-based trajectory modeling were used to assess changes in PROs over time. RESULTS No significant changes in the 3-level version of EQ-5D scores, EQ visual analogue scale scores, social functioning, psychological distress, and housing were observed over the 108-week study period. There was a significant increase in the proportion of participants employed (18% [95% confidence interval (CI) 12%-23%] at baseline to 28% [95% CI 19%-36%] at the end of the study). Participants were more likely to be employed at 24 weeks and 108 weeks after commencing treatment. Having stable housing increased the odds of being employed (odds ratio 1.70; 95% CI 1.00-2.90). The group-based trajectory modeling demonstrated that most outcomes remained stable during and after DAA treatment. CONCLUSIONS Although no significant improvement was identified in health-related quality of life after HCV DAA treatment, there was a modest but significant increase in employment during study follow-up. The study findings support the need for multifaceted models of HCV care for PWID addressing a range of issues beyond HCV treatment to improve quality of life.
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Affiliation(s)
- Qinglu Cheng
- The Kirby Institute, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia.
| | - Evan B Cunningham
- The Kirby Institute, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia
| | - Sophy Shih
- The Kirby Institute, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia
| | - Janaki Amin
- The Kirby Institute, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia; Department of Health Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Julie Bruneau
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada; Département de médecine, Université de Montréal, Montréal, QC, Canada
| | - Adelina A Artenie
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, England, UK
| | - Jeff Powis
- Infection Prevention and Control, Michael Garron Hospital, Toronto, ON, Canada
| | - Alain H Litwin
- Prisma Health Addiction Medicine Centre, Greenville, SC, USA; School of Medicine - Greenville, University of South Carolina, Greenville, SC, USA; School of Health Research, Clemson University, Clemson, SC, USA
| | - Curtis Cooper
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Olav Dalgard
- Department of Infectious Diseases, Akershus University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Margaret Hellard
- The Burnet Institute, Melbourne, VIC, Australia; Department of Infectious Disease, The Alfred Hospital, Melbourne, VIC, Australia
| | | | - Philippa Marks
- The Kirby Institute, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia
| | - Karine Lacombe
- Faculté de médecine, Sorbonne Université, Paris, France; Infectious Diseases Department, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Catherine Stedman
- Department of Medicine, University of Otago, Christchurch, New Zealand; Gastroenterology Department, Christchurch Hospital, Christchurch, New Zealand
| | | | - Behzad Hajarizadeh
- The Kirby Institute, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia
| | - Adrian J Dunlop
- Drug & Alcohol Clinical Services, Hunter New England Local Health District, Newcastle, NSW, Australia; Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW, Australia
| | - Brian Conway
- Vancouver Infectious Diseases Centre, Vancouver, BC, Canada
| | - Jordan J Feld
- Toronto Centre for Liver Disease, University Health Network, Toronto, ON, Canada
| | - Gregory J Dore
- The Kirby Institute, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia; St Vincent's Hospital, Sydney, NSW, Australia
| | - Jason Grebely
- The Kirby Institute, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia
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28
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Che M, Xie F, Thomas S, Pullenayegum E. Bayesian Models with Spatial Correlation Improve the Precision of EQ-5D-5L Value Sets. Med Decis Making 2023:272989X231173699. [PMID: 37243474 DOI: 10.1177/0272989x231173699] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
BACKGROUND Health utilities from value sets for the EQ-5D-5L are commonly used in economic evaluations. We examined whether modeling spatial correlation among health states could improve the precision of the value sets. METHODS Using data from 7 EQ-5D-5L valuation studies, we compared the predictive precision of the published linear model, a recently proposed cross-attribute level effects (CALE) model, and 2 Bayesian models with spatial correlation. Predictive precision was quantified through the root mean squared error (RMSE) for out-of-sample predictions of state-level mean utilities on omitting individual states, as well as omitting blocks of states. RESULTS In all 7 countries, on omitting single health states, Bayesian models with spatial correlation improved upon the published linear model: the RMSEs for the originally published models, 0.050, 0.051, 0.060, 0.061, 0.039, 0.050, and 0.087 for Canada, China, Germany, Indonesia, Japan, Korea, and the Netherlands, respectively, could be reduced to 0.043, 0.042, 0.051, 0.054, 0.037, 0.037, and 0.085, respectively. On omitting blocks of health states, Bayesian models with spatial correlation led to smaller RMSEs in 3 countries, while the CALE model led to smaller RMSEs in the remaining 4 countries. DISCUSSION Bayesian models incorporating spatial correlation and CALE models are promising for improving the precision of value sets for the EQ-5D-5L. The differential performance of the Bayesian models on omitting single states versus blocks of states suggests that designing valuation studies to capture more health states may further improve precision. We suggest that Bayesian and CALE models be considered as candidates when creating value sets and that alternative designs be explored; this is vital as the prediction errors in value sets need to be smaller than the minimal important difference of the instrument. HIGHLIGHTS The accuracy of value sets of multi-attribute utility instruments is typically of the same order of magnitude as the instrument's minimal important difference and would benefit from improvement.Bayesian models with spatial correlation have been shown to improve value set accuracy in isolated cases.We showed that Bayesian approaches with spatial correlation improved predictive precision in 7 EQ-5D-5L valuation studies.We recommend that Bayesian models incorporating spatial correlation be considered when creating value sets and have provided code for fitting them.
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Affiliation(s)
- Menglu Che
- Department of Biostatistics, Yale University School of Public Health, New Haven, CT, USA
| | - Feng Xie
- Centre for Health Economics and Policy Analysis, Department of Health Research Methods, Evidence & Impact (HEI), McMaster University, Hamilton, ON, Canada
| | - Stephanie Thomas
- Sobey School of Business, Saint Mary's University, Halifax, NS, Canada
| | - Eleanor Pullenayegum
- Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, ON, Canada
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29
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Mihalopoulos C, Chen G, Scott JG, Bucholc J, Allen C, Coghill D, Jenkins P, Norman R, Ratcliffe J, Richardson J, Stathis S, Viney R. Assessing Outcomes for Cost-Utility Analysis in Children and Adolescents With Mental Health Problems: Are Multiattribute Utility Instruments Fit for Purpose? VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:733-741. [PMID: 36535579 DOI: 10.1016/j.jval.2022.12.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 10/18/2022] [Accepted: 12/05/2022] [Indexed: 05/03/2023]
Abstract
OBJECTIVES The objective of this study was to compare the concurrent and construct validity, as well as the sensitivity of 5 multiattribute utility instruments (MAUIs), including the Assessment of Quality of Life-6D (AQoL-6D), EQ-5D-Y, Health Utilities Index (HUI)-2 and HUI-3, and the Child Health Utility 9D, 1 generic pediatric quality of life instrument, with 3 routinely collected outcome measures in Australian mental health services (Strengths and Difficulties Questionnaire, Clinical Global Assessment Scale [CGAS] and the Health of the Nation Outcome Scale for Children and Adolescents) in children and adolescents diagnosed of internalizing (eg, anxiety/depression), externalizing (eg, attention deficit hyperactivity disorder/conduct disorders), and trauma/stress related mental disorders. METHODS A cross-sectional survey of measures, including demographic and basic treatment information, in children/adolescents recruited via 5 child and youth mental health services in Queensland and Victoria, Australia. Measures were either proxy or self-report completed, the CGAS and the Health of the Nation Outcome Scale for Children and Adolescents were clinician completed. RESULTS The sample included 426 participants and had a mean age of 13.7 years (range 7-18 years). Utilities (as calculated from MAUIs) were generally lower in older adolescents and those with internalizing disorders. All MAUIs and self-reported clinical measures significantly correlated with each other (absolute correlation range 0.40-0.90), with the AQoL-6D showing generally higher levels of correlations. Correlations between the MAUIs and clinician/proxy-reported measures were weak, regardless of diagnosis (absolute correlation range 0.09-0.47). Generally, EQ-5D-Y, HUI-2, and AQoL-6D were more sensitive than Child Health Utility 9D and HUI-3 when distinguishing between different severities according to clinician-assessed CGAS (effect size range 0.17-0.84). CONCLUSIONS The study showed that the commonly used MAUIs had good concurrent and construct validity compared with routinely used self-complete measures but poor validity when compared with clinician/proxy-completed measures. These findings generally held across different diagnoses.
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Affiliation(s)
- Cathrine Mihalopoulos
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia; School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University.
| | - Gang Chen
- Centre for Health Economics, Monash Business School, Monash University, Melbourne, VIC, Australia
| | - James G Scott
- QIMR Berghofer Medical Research Institute, Herston, QLD, Australia; Metro North Mental Health Service, Herston, QLD, Australia
| | - Jessica Bucholc
- Deakin Health Economics, School of Health and Social Development, Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
| | - Cassandra Allen
- Child and Adolescent Mental Health Services Barwon Health, Geelong, VIC, Australia
| | - David Coghill
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia; Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia; Royal Children's Hospital, Melbourne, VIC, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia
| | - Peter Jenkins
- Child and Youth Mental Health Service, Eastern Health, Melbourne, VIC, Australia
| | - Richard Norman
- School of Population Health, Curtin University, Perth, WA, Australia
| | - Julie Ratcliffe
- Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Jeffrey Richardson
- Centre for Health Economics, Monash Business School, Monash University, Melbourne, VIC, Australia
| | - Stephen Stathis
- Children's Health, Queensland Hospital and Health Service, University of Queensland, Herston, QLD, Australia
| | - Rosalie Viney
- Centre for Health Economics Research and Evaluation, Faculty of Health, University of Technology, Sydney, NSW, Australia
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30
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Jonker MF, Donkers B. Interaction Effects in Health State Valuation Studies: An Optimal Scaling Approach. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:554-566. [PMID: 36323377 DOI: 10.1016/j.jval.2022.10.008] [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: 02/18/2022] [Revised: 09/28/2022] [Accepted: 10/10/2022] [Indexed: 05/06/2023]
Abstract
OBJECTIVES This study aimed to introduce a parsimonious modeling approach that enables the estimation of interaction effects in health state valuation studies. METHODS Instead of supplementing a main-effects model with interactions between each and every level, a more parsimonious optimal scaling approach is proposed. This approach is based on the mapping of health state levels onto domain-specific continuous scales. The attractiveness of health states is then determined by the importance-weighted optimal scales (ie, main effects) and the interactions between these domain-specific scales (ie, interaction effects). The number of interaction terms only depends on the number of health domains. Therefore, interactions between dimensions can be included with only a few additional parameters. The proposed models with and without interactions are fitted on 3 valuation data sets from 2 different countries, that is, a Dutch latent-scale discrete choice experiment (DCE) data set with 3699 respondents, an Australian time trade-off data set with 400 respondents, and a Dutch DCE with duration data set with 788 respondents. RESULTS Important interactions between health domains were found in all 3 applications. The results confirm that the accumulation of health problems within health states has a decreasing marginal effect on health state values. A similar effect is obtained when so-called N3 or N5 terms are included in the model specification, but the inclusion of 2-way interactions provides superior model fits. CONCLUSIONS The proposed interaction model is parsimonious, produces estimates that are straightforward to interpret, and accommodates the estimation of interaction effects in health state valuation studies with realistic sample size requirements. Not accounting for interactions is shown to result in biased value sets, particularly in stand-alone DCE with duration studies.
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Affiliation(s)
- Marcel F Jonker
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands; Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
| | - Bas Donkers
- Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands; Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
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Norman R, Mulhern B, Lancsar E, Lorgelly P, Ratcliffe J, Street D, Viney R. The Use of a Discrete Choice Experiment Including Both Duration and Dead for the Development of an EQ-5D-5L Value Set for Australia. PHARMACOECONOMICS 2023; 41:427-438. [PMID: 36720793 PMCID: PMC10020301 DOI: 10.1007/s40273-023-01243-0] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 01/11/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND/AIMS Discrete choice experiments (DCEs) with either duration included an attribute or with dead included as an option can be used as a stand-alone approach to value health states. This paper reports on a DCE with both of these features to develop an EQ-5D-5L value set for Australia. METHODS A DCE was undertaken using a large Australian panel of internet respondents, from which a sample of more than 4000 Australian adults was chosen, stratified to be population representative on age and gender. The DCE contained 500 choice triplets, with two EQ-5D-5L health states with duration, and dead as the third option. Each respondent answered 12 choice sets from the 500, stating both the best and worst options from the three available. The design was constructed to estimate a utility algorithm with main effects plus some key interaction terms. A variety of approaches to parameterising interactions, and to anchoring the value set on the required 0-1 scale, were tested. A preferred Australian adult utility algorithm for use in cost-utility analysis was then generated. RESULTS In total, 4477 people completed at least one choice set and were included in the analysis. The results reflected the monotonic structure of the EQ-5D-5L, in that moving from no problems to extreme problems led to worsening utility in each dimension. Inclusion of interaction terms demonstrates that the disutility of the first dimension moving to a poor level (defined as either level 5, or level 4 or 5) had a large impact, but subsequent dimensions moving to a poor level had a relatively smaller disutility. DISCUSSION This work develops a value set for the EQ-5D-5L in Australia, and also provides a range of methodological insights which can inform future work using a stand-alone DCE to value health in other countries.
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Affiliation(s)
- Richard Norman
- School of Population Health, Curtin University, Perth, Australia.
- EnAble Institute, Curtin University, Perth, Australia.
| | - Brendan Mulhern
- Centre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, Sydney, Australia
| | - Emily Lancsar
- Department of Health Services Research and Policy, Australian National University, Canberra, Australia
| | | | - Julie Ratcliffe
- College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Deborah Street
- Centre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, Sydney, Australia
| | - Rosalie Viney
- Centre for Health Economics Research and Evaluation (CHERE), University of Technology Sydney, Sydney, Australia
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32
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Talevski J, Gianoudis J, Bailey CA, Ebeling PR, Nowson CA, Hill KD, Sanders KM, Daly RM. Effects of an 18-month community-based, multifaceted, exercise program on patient-reported outcomes in older adults at risk of fracture: secondary analysis of a randomised controlled trial. Osteoporos Int 2023; 34:891-900. [PMID: 36862193 PMCID: PMC10104917 DOI: 10.1007/s00198-023-06693-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/30/2023] [Indexed: 03/03/2023]
Abstract
UNLABELLED This study identified that an 18-month community-based, multifaceted, exercise program consisting of resistance, weight-bearing impact, and balance/mobility training combined with osteoporosis education and behavioural support can improve health-related quality of life (HRQoL) and osteoporosis knowledge in older adults at risk of fracture, but only for those adherent to the exercise regime. PURPOSE To evaluate the effects of an 18-month community-based exercise, osteoporosis education and behaviour change program (Osteo-cise: Strong Bones for Life) on HRQoL, osteoporosis knowledge and osteoporosis health beliefs. METHODS This was a secondary analysis of an 18-month randomised controlled trial in which 162 older adults aged ≥ 60 years with osteopenia or increased falls/fracture risk were randomized to the Osteo-cise program (n = 81) or control group (n = 81). The program consisted of progressive resistance, weight-bearing impact and balance training (3 days/week); osteoporosis education to facilitate self-management of musculoskeletal health and behavioural support to enhance adherence to exercise. HRQoL, osteoporosis knowledge and osteoporosis health beliefs were assessed using the EuroQoL questionnaire (EQ-5D-3L), Osteoporosis Knowledge Assessment Tool and Osteoporosis Health Belief Scale, respectively. RESULTS Overall, 148 participants (91%) completed the trial. Mean exercise adherence was 55% and mean attendance for the three osteoporosis educational sessions ranged from 63-82%. After 12 and 18 months, there were no significant effects of the Osteo-cise program on HRQoL, osteoporosis knowledge or health beliefs relative to controls. Per protocol analyses (≥ 66% exercise adherence; n = 41) revealed a significant net benefit in EQ-5D-3L utility for the Osteo-cise group relative to controls after 12 months (P = 0.024) and 18 months (P = 0.029) and a significant net improvement in osteoporosis knowledge scores at 18 months (P = 0.014). CONCLUSION This study supports the importance of adherence to exercise regimes, as adherence to the Osteo-cise: Strong Bones for Life program was associated with improvements in HRQoL and osteoporosis knowledge in older adults at increased risk for falls and fractures. TRIAL REGISTRATION NUMBER ACTRN12609000100291.
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Affiliation(s)
- Jason Talevski
- Institute for Physical Activity and Nutrition Research (IPAN), School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria, 3125, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, Victoria, Australia
| | - Jenny Gianoudis
- Institute for Physical Activity and Nutrition Research (IPAN), School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria, 3125, Australia
| | - Christine A Bailey
- Department of Medicine - Western Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Peter R Ebeling
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - Caryl A Nowson
- Institute for Physical Activity and Nutrition Research (IPAN), School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria, 3125, Australia
| | - Keith D Hill
- Rehabilitation, Ageing, and Independent Living (RAIL) Research Centre, Monash University, Melbourne, Victoria, Australia
| | - Kerrie M Sanders
- Department of Medicine - Western Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Robin M Daly
- Institute for Physical Activity and Nutrition Research (IPAN), School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria, 3125, Australia.
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Ramos JS, Chakraborty R, Dalleck LC, Sarunic K, Khadka J, Haslam T, Nassaris O. A retrospective evaluation of the Brain and Body Fitness Studio service on functional capacity and quality of life in people with neurological disorders. Front Neurol 2023; 13:1006221. [PMID: 36742042 PMCID: PMC9895383 DOI: 10.3389/fneur.2022.1006221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 12/21/2022] [Indexed: 01/22/2023] Open
Abstract
Background People with neurological disorders (ND) are less physically active than the general population due to physical, sensory, and/or cognitive impairments. These individuals often feel intimidated to join mainstream health and wellness centers due to lack of specialized support for people with ND. The Brain and Body Fitness Studio (BBFS) is one of the first Accredited Exercise Physiologist-led interprofessional services in Adelaide South Australia to provide individualized evidence-based multimodal exercise prescription and social support for this population. This comprehensive retrospective study evaluated the impact of BBFS on functional capacity (FC) determined as the 6-min walk distance (6 MWD) achieved during a 6-min walk test (6 MWT), of its members with ND. Methods Sixty-two BBFS members (age, 66 ± 10 years; 60% male) with ND (85% Parkinson's Disease; average time since diagnosis, 4 years [IQR, 2 to 12 years]) and complete pre- and post-6-month clinical assessment of the primary outcome of the study, the 6 MWD, were included in this retrospective analysis. A series of sub-analyses were also performed to investigate the effects of adherence to the recommended prescription of at least twice a week in the program (≥80 vs. < 80% adherence), and disease stage (time since diagnosis; ≥6 vs. < 6 years) on FC. Results Although there was no statistically significant change in 6 MWD from pre- to post-6-month BBFS program (+15 ± 90 m, p = 0.19), a clinically meaningful improvement of >14 m was evident. Improvement in 6 MWD was significantly greater in members who attended at least 80% of the recommended visits (≥80% visits, +37 ± 58 m; ≤ 80% visits,-1 ± 105 m, p = 0.046). We also found a 6 MWD improvement from pre- to post-6 months in those in the early years of their ND (< 6 years since diagnosis, +39 ± 76 m), but not in those in the later years of their ND (≥6 years since diagnosis, -36 ± 123 m, between group difference, p = 0.029). Conclusion A clinically meaningful 6 MWD improvement may be elicited by services provided by BBFS in people with ND. Overall, the benefits appear to be more evident in members who attended the BBFS for at least 80% of the recommended visits and those who were in the early stage of their ND diagnosis.
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Affiliation(s)
- Joyce S. Ramos
- Clinical Exercise Physiology, College of Nursing and Health Sciences, SHAPE Research Centre, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Ranjay Chakraborty
- Clinical Exercise Physiology, College of Nursing and Health Sciences, SHAPE Research Centre, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Lance C. Dalleck
- Clinical Exercise Physiology, College of Nursing and Health Sciences, SHAPE Research Centre, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
- Recreation, Exercise and Sport, Western Colorado University, Gunnison, CO, United States
| | - Kristina Sarunic
- Clinical Exercise Physiology, College of Nursing and Health Sciences, SHAPE Research Centre, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Jyoti Khadka
- Clinical Exercise Physiology, College of Nursing and Health Sciences, SHAPE Research Centre, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
- Health and Social Care Economics Group, College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Tayla Haslam
- Brain and Body Fitness Studio, The Hospital Research Foundation Parkinson's, Adelaide, SA, Australia
| | - Olivia Nassaris
- Clinical Exercise Physiology, College of Nursing and Health Sciences, SHAPE Research Centre, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
- Brain and Body Fitness Studio, The Hospital Research Foundation Parkinson's, Adelaide, SA, Australia
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Education plus exercise for persistent gluteal tendinopathy improves quality of life and is cost-effective compared with corticosteroid injection and wait and see: economic evaluation of a randomised trial. J Physiother 2023; 69:35-41. [PMID: 36526564 DOI: 10.1016/j.jphys.2022.11.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/15/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
QUESTION For patients with gluteal tendinopathy, what is the cost utility from health system and societal perspectives of three management approaches: education plus exercise, ultrasound-guided corticosteroid injection or wait and see? DESIGN Economic evaluation alongside a three-group, parallel, randomised clinical efficacy trial. PARTICIPANTS People aged between 35 and 70 years with image-confirmed gluteal tendinopathy were recruited via advertisements. INTERVENTIONS Education plus exercise, consisting of 14 visits to a physiotherapist, with detailed instruction on tendinopathy management, twice weekly supervised exercise sessions, daily home exercises, a handout and a CD; corticosteroid injection, consisting of one ultrasound-guided injection and a handout on general tendon care; and 'wait and see', consisting of one visit to a physiotherapist with assurance and advice on staying active whilst respecting pain. OUTCOME MEASURES Economic outcome measures were quality-adjusted life years (QALYs) calculated from EuroQol EQ-5D-3L using Australian population preference weights, and total economic costs obtained from participant-reported data collected over the 1-year follow-up period. Missing data (<12% per group) were imputed. Linear regression was used to estimate incremental QALYs and costs between interventions; uncertainty was assessed by calculating 90% confidence intervals, cost-effectiveness acceptability curves and confidence ellipses. RESULTS A total of 204 individuals (82% women) were enrolled. Incremental cost-effectiveness ratio favoured education plus exercise over corticosteroid injection (AU$12,719 and $5,592 on societal and health system perspectives, respectively) and over wait and see ($29,258 and $3,444 on societal and health system perspectives, respectively). Complete case analysis and varying the direct intervention costs did not change the (imputed analysis) results, with the exception that corticosteroid injection was less cost-effective. CONCLUSION Education plus exercise for gluteal tendinopathy improves health-related quality of life and is cost-effective compared with corticosteroid injection and wait and see for treating gluteal tendinopathy. REGISTRATION ACTRN12612001126808.
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Siriwardana A, Gray NA, Makris A, Li CK, Yong K, Mehta Y, Ramos J, Di Tanna GL, Gianacas C, Addo IY, Roxburgh S, Naganathan V, Foote C, Gallagher M. Treatment decision-making and care among older adults with kidney failure: protocol for a multicentre, prospective observational cohort study with nested substudies and linked qualitative research (the Elderly Advanced CKD Programme). BMJ Open 2022; 12:e066156. [PMID: 36581411 PMCID: PMC9806093 DOI: 10.1136/bmjopen-2022-066156] [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] [Received: 06/28/2022] [Accepted: 12/12/2022] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Shared treatment decision-making and planning of care are fundamental in advanced chronic kidney disease (CKD) management. There are limited data on several key outcomes for the elderly population including survival, quality of life, symptom burden, changes in physical functioning and experienced burden of healthcare. Patients, caregivers and clinicians consequently face significant uncertainty when making life-impacting treatment decisions. The Elderly Advanced CKD Programme includes quantitative and qualitative studies to better address challenges in treatment decision-making and planning of care among this increasingly prevalent elderly cohort. METHODS AND ANALYSIS The primary component is OUTcomes of Older patients with Kidney failure (OUTLOOK), a multicentre prospective observational cohort study that will enrol 800 patients ≥75 years with kidney failure (estimated glomerular filtration rate ≤15 mL/min/1.73 m2) across a minimum of six sites in Australia. Patients entered are in the decision-making phase or have recently made a decision on preferred treatment (dialysis, conservative kidney management or undecided). Patients will be prospectively followed until death or a maximum of 4 years, with the primary outcome being survival. Secondary outcomes are receipt of short-term acute dialysis, receipt of long-term maintenance dialysis, changes in biochemistry and end-of-life care characteristics. Data will be used to formulate a risk prediction tool applicable for use in the decision-making phase. The nested substudies Treatment modalities for the InfirM ElderLY with end stage kidney disease (TIMELY) and Caregivers of The InfirM ElderLY with end stage kidney disease (Co-TIMELY) will longitudinally assess quality of life, symptom burden and caregiver burden among 150 patients and 100 caregivers, respectively. CONsumer views of Treatment options for Elderly patieNts with kiDney failure (CONTEND) is an additional qualitative study that will enrol a minimum of 20 patients and 20 caregivers to explore experiences of treatment decision-making and care. ETHICS AND DISSEMINATION Ethics approval was obtained through Sydney Local Health District Human Research Ethics Committee (2019/ETH07718, 2020/ETH02226, 2021/ETH01020, 2019/ETH07783). OUTLOOK is approved to have waiver of individual patient consent. TIMELY, Co-TIMELY and CONTEND participants will provide written informed consent. Final results will be disseminated through peer-reviewed journals and presented at scientific meetings.
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Affiliation(s)
- Amanda Siriwardana
- Renal and Metabolic Division, The George Institute for Global Health, Sydney, New South Wales, Australia
- Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Nicholas A Gray
- Department of Renal Medicine, Sunshine Coast Hospital and Health Service, Birtinya, Queensland, Australia
- School of Health and Behavioural Science, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Angela Makris
- Department of Renal Medicine, Liverpool Hospital, Sydney, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Chenlei Kelly Li
- Department of Renal Medicine, St George Hospital, Sydney, New South Wales, Australia
| | - Kenneth Yong
- Department of Renal Medicine, Prince of Wales Hospital and Community Health Services, Sydney, New South Wales, Australia
- Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Yachna Mehta
- Renal and Metabolic Division, The George Institute for Global Health, Sydney, New South Wales, Australia
| | - Jannel Ramos
- Renal and Metabolic Division, The George Institute for Global Health, Sydney, New South Wales, Australia
| | - Gian Luca Di Tanna
- Statistics Division, George Institute for Global Health, Sydney, New South Wales, Australia
| | - Chris Gianacas
- Statistics Division, George Institute for Global Health, Sydney, New South Wales, Australia
| | - Isaac Yeboah Addo
- Faculty of Arts and Social Sciences, University of New South Wales Centre for Social Research in Health, Sydney, New South Wales, Australia
| | - Sarah Roxburgh
- Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
- Department of Renal Medicine, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Vasi Naganathan
- Sydney Medical School, The University of Sydney, Sydney, New South Wales, Australia
- Department of Geriatric Medicine, Concord Repatriation General Hospital, The University of Sydney Centre for Education and Research on Ageing, Sydney, New South Wales, Australia
| | - Celine Foote
- Department of Renal Medicine, Concord Repatriation General Hospital, Sydney, New South Wales, Australia
| | - Martin Gallagher
- Renal and Metabolic Division, The George Institute for Global Health, Sydney, New South Wales, Australia
- Department of Renal Medicine, Liverpool Hospital, Sydney, New South Wales, Australia
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Changes in body composition in the year following critical illness: A case-control study. J Crit Care 2022; 71:154043. [DOI: 10.1016/j.jcrc.2022.154043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/23/2022] [Accepted: 04/04/2022] [Indexed: 11/17/2022]
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Soo WK, King MT, Pope A, Parente P, Dārziņš P, Davis ID. Integrated Geriatric Assessment and Treatment Effectiveness (INTEGERATE) in older people with cancer starting systemic anticancer treatment in Australia: a multicentre, open-label, randomised controlled trial. THE LANCET. HEALTHY LONGEVITY 2022; 3:e617-e627. [PMID: 36102776 DOI: 10.1016/s2666-7568(22)00169-6] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/29/2022] [Accepted: 07/06/2022] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND The effectiveness of comprehensive geriatric assessment (CGA) in improving health outcomes in cancer settings is unclear. We evaluated whether CGA can improve health-related quality of life (HRQOL) in older people with cancer who are starting systemic anticancer treatment. METHODS INTEGERATE is a multicentre, open-label, pragmatic, parallel-group, randomised controlled trial that was done at three hospitals in Australia. Participants aged 70 years and older with solid cancer or diffuse large B-cell lymphoma planned for chemotherapy, targeted therapy, or immunotherapy, were randomly assigned (1:1; using a central computer-generated minimisation algorithm with a random element, balancing treatment intent, cancer type, age, sex, and performance status) to receive CGA integrated into oncology care (integrated oncogeriatric care) or usual care only. Group assignment was not concealed from the participants and clinicians. The primary outcome was HRQOL over 24 weeks, assessed at baseline, week 12, week 18, and week 24, using the Elderly Functional Index (ELFI; score range 0-100). Analyses were by intention to treat. The trial is registered with ANZCTR.org.au, ACTRN12614000399695, and is completed. FINDINGS Between Aug 18, 2014, and Sept 5, 2018, 154 participants were randomly assigned to integrated oncogeriatric care (n=76) or usual care (n=78). 13 participants died by week 12 and 130 (92%) of the remaining 141 participants completed two or more ELFI assessments. Participants assigned to integrated oncogeriatric care reported better adjusted ELFI change scores over 24 weeks compared with those in the usual care group (overall main effect of group: t=2·1, df=213, p=0·039; effect size=0·38), with maximal between-group differences at week 18 (mean difference in change 9·8 [95% CI 2·4-17·2]; p=0·010, corrected p=0·030, effect size=0·48). The integrated oncogeriatric care group also had significantly fewer unplanned hospital admissions at 24 weeks (multivariable-adjusted incidence rate ratio 0·60 [95% CI 0·42-0·87]; p=0·0066). No statistically significant between-group difference was observed in overall survival. INTERPRETATION CGA led to better quality of life and health-care delivery in older people receiving systemic anticancer treatment. Routine CGA-based interventions should be considered in at-risk older people starting systemic anticancer treatment. FUNDING National Health and Medical Research Council (Australia), Monash University, and Eastern Health.
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Affiliation(s)
- Wee Kheng Soo
- Eastern Health Clinical School, Monash University, Box Hill, VIC, Australia; Cancer Services, Eastern Health, Box Hill, VIC, Australia; Aged Medicine Program, Eastern Health, Box Hill, VIC, Australia.
| | - Madeleine T King
- School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Alun Pope
- Eastern Health Clinical School, Monash University, Box Hill, VIC, Australia
| | - Phillip Parente
- Eastern Health Clinical School, Monash University, Box Hill, VIC, Australia; Cancer Services, Eastern Health, Box Hill, VIC, Australia
| | - Pēteris Dārziņš
- Eastern Health Clinical School, Monash University, Box Hill, VIC, Australia; Aged Medicine Program, Eastern Health, Box Hill, VIC, Australia
| | - Ian D Davis
- Eastern Health Clinical School, Monash University, Box Hill, VIC, Australia; Cancer Services, Eastern Health, Box Hill, VIC, Australia
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Hodgins M, Ostojic K, Hu N, Lawson KD, Samir N, Webster A, Rogers H, Henry A, Murphy E, Lingam R, Raman S, Mendoza Diaz A, Dadich A, Eapen V, Rimes T, Woolfenden S. Study protocol for a real-world evaluation of an integrated child and family health hub for migrant and refugee women. BMJ Open 2022; 12:e061002. [PMID: 36041760 PMCID: PMC10439340 DOI: 10.1136/bmjopen-2022-061002] [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: 01/12/2022] [Accepted: 08/16/2022] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Continuity of child and family healthcare is vital for optimal child health and development for developmentally vulnerable children. Migrant and refugee communities are often at-risk of poor health outcomes, facing barriers to health service attendance including cultural, language, limited health literacy, discrimination and unmet psychosocial needs. 'Integrated health-social care hubs' are physical hubs where health and social services are co-located, with shared referral pathways and care navigation. AIM Our study will evaluate the impact, implementation and cost-benefit of the First 2000 Days Care Connect (FDCC) integrated hub model for pregnant migrant and refugee women and their infants. MATERIALS AND METHODS This study has three components. Component 1 is a non-randomised controlled trial to compare the FDCC model of care with usual care. This trial will allocate eligible women to intervention and control groups based on their proximity to the Hub sites. Outcome measures include: the proportion of children attending child and family health (CFH) nurse services and completing their CFH checks to 12 months of age; improved surveillance of growth and development in children up to 12 months, post partum; improved breastfeeding rates; reduced emergency department presentations; and improved maternal well-being. These will be measured using linked medical record data and surveys. Component 2 will involve a mixed-method implementation evaluation to clarify how and why FDCC was implemented within the sites to inform future roll-out. Component 3 is a within-trial economic evaluation from a healthcare perspective to assess the cost-effectiveness of the Hubs relative to usual care and the implementation costs if Hubs were scaled and replicated. ETHICS AND DISSEMINATION Ethical approval was granted by the South Eastern Sydney Local Health District Human Research Ethics Committee in July 2021 (Project ID: 020/ETH03295). Results will be submitted for publication in peer-reviewed journals and presented at relevant conferences. TRIAL REGISTRATION NUMBER ACTRN12621001088831.
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Affiliation(s)
| | | | - Nan Hu
- UNSW, Sydney, New South Wales, Australia
| | - K D Lawson
- Western Sydney University, Sydney, New South Wales, Australia
| | - Nora Samir
- UNSW, Sydney, New South Wales, Australia
| | - Amanda Webster
- South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Helen Rogers
- South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
| | | | - Elisabeth Murphy
- UNSW, Sydney, New South Wales, Australia
- North Sydney Local Health District, Sydney, New South Wales, Australia
| | - Raghu Lingam
- UNSW, Sydney, New South Wales, Australia
- Sydney Children's Hospitals Network, Sydney, New South Wales, Australia
| | - Shanti Raman
- South Western Sydney Local Health District, Liverpool, New South Wales, Australia
| | | | - Ann Dadich
- Western Sydney University, Sydney, New South Wales, Australia
| | - Valsamma Eapen
- UNSW, Sydney, New South Wales, Australia
- South Western Sydney Local Health District, Liverpool, New South Wales, Australia
| | - Tania Rimes
- South Eastern Sydney Local Health District, Sydney, New South Wales, Australia
| | - Susan Woolfenden
- UNSW, Sydney, New South Wales, Australia
- Sydney Local Health District, Sydney, New South Wales, Australia
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Papic C, Kifley A, Craig A, Grant G, Collie A, Pozzato I, Gabbe B, Derrett S, Rebbeck T, Jagnoor J, Cameron ID. Factors associated with long term work incapacity following a non-catastrophic road traffic injury: analysis of a two-year prospective cohort study. BMC Public Health 2022; 22:1498. [PMID: 35931966 PMCID: PMC9356415 DOI: 10.1186/s12889-022-13884-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 07/27/2022] [Indexed: 11/16/2022] Open
Abstract
Background Road traffic injuries (RTIs), primarily musculoskeletal in nature, are the leading cause of unintentional injury worldwide, incurring significant individual and societal burden. Investigation of a large representative cohort is needed to validate early identifiable predictors of long-term work incapacity post-RTI. Therefore, up until two years post-RTI we aimed to: evaluate absolute occurrence of return-to-work (RTW) and occurrence by injury compensation claimant status; evaluate early factors (e.g., biopsychosocial and injury-related) that influence RTW longitudinally; and identify factors potentially modifiable with intervention (e.g., psychological distress and pain). Methods Prospective cohort study of 2019 adult participants, recruited within 28 days of a non-catastrophic RTI, predominantly of mild-to-moderate severity, in New South Wales, Australia. Biopsychosocial, injury, and compensation data were collected via telephone interview within one-month of injury (baseline). Work status was self-reported at baseline, 6-, 12-, and 24-months. Analyses were restricted to participants who reported paid work pre-injury (N = 1533). Type-3 global p-values were used to evaluate explanatory factors for returning to ‘any’ or ‘full duties’ paid work across factor subcategories. Modified Poisson regression modelling was used to evaluate factors associated with RTW with adjustment for potential covariates. Results Only ~ 30% of people with RTI returned to full work duties within one-month post-injury, but the majority (76.7%) resumed full duties by 6-months. A significant portion of participants were working with modified duties (~ 10%) or not working at all (~ 10%) at 6-, 12-, and 24-months. Female sex, low education, low income, physically demanding occupations, pre-injury comorbidities, and high injury severity were negatively associated with RTW. Claiming injury compensation in the fault-based scheme operating at the time, and early identified post-injury pain and psychological distress, were key factors negatively associated with RTW up until two years post-injury. Conclusions Long-term work incapacity was observed in 20% of people following RTI. Our findings have implications that suggest review of the design of injury compensation schemes and processes, early identification of those at risk of delayed RTW using validated pain and psychological health assessment tools, and improved interventions to address risks, may facilitate sustainable RTW. Trial registration This study was registered prospectively with the Australian New Zealand Clinical Trials Registry (ACTRN12613000889752).
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Affiliation(s)
- Christopher Papic
- Northern Clinical School, Faculty of Medicine and Health, John Walsh Centre for Rehabilitation Research, Kolling Institute of Medican Research, The University of Sydney, Royal North Shore Hospital, Level 12, Corner Reserve Road and Westbourne Street, NSW, 2065, St Leonards, Australia.
| | - Annette Kifley
- Northern Clinical School, Faculty of Medicine and Health, John Walsh Centre for Rehabilitation Research, Kolling Institute of Medican Research, The University of Sydney, Royal North Shore Hospital, Level 12, Corner Reserve Road and Westbourne Street, NSW, 2065, St Leonards, Australia
| | - Ashley Craig
- Northern Clinical School, Faculty of Medicine and Health, John Walsh Centre for Rehabilitation Research, Kolling Institute of Medican Research, The University of Sydney, Royal North Shore Hospital, Level 12, Corner Reserve Road and Westbourne Street, NSW, 2065, St Leonards, Australia
| | - Genevieve Grant
- Australian Centre for Justice Innovation, Faculty of Law, Monash University, Clayton, Victoria, 3800, Australia
| | - Alex Collie
- Healthy Working Lives Research Group, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Victoria, 3004, Australia
| | - Ilaria Pozzato
- Northern Clinical School, Faculty of Medicine and Health, John Walsh Centre for Rehabilitation Research, Kolling Institute of Medican Research, The University of Sydney, Royal North Shore Hospital, Level 12, Corner Reserve Road and Westbourne Street, NSW, 2065, St Leonards, Australia
| | - Belinda Gabbe
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Victoria, 3004, Australia
| | - Sarah Derrett
- Department of Preventive and Social Medicine, University of Otago, 18 Frederick Street, Dunedin North, Dunedin, 9016, New Zealand
| | - Trudy Rebbeck
- Northern Clinical School, Faculty of Medicine and Health, John Walsh Centre for Rehabilitation Research, Kolling Institute of Medican Research, The University of Sydney, Royal North Shore Hospital, Level 12, Corner Reserve Road and Westbourne Street, NSW, 2065, St Leonards, Australia
| | - Jagnoor Jagnoor
- The George Institute for Global Health, and Faculty of Medicine, University of New South Wales, Level 5/1 King St, Newtown, NSW, 2042, Australia
| | - Ian D Cameron
- Northern Clinical School, Faculty of Medicine and Health, John Walsh Centre for Rehabilitation Research, Kolling Institute of Medican Research, The University of Sydney, Royal North Shore Hospital, Level 12, Corner Reserve Road and Westbourne Street, NSW, 2065, St Leonards, Australia
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Zakershahrak M, Ribeiro Santiago PH, Sethi S, Haag D, Jamieson L, Brennan D. Psychometric properties of the EQ-5D-3L in South Australia: a multi-method non-preference-based validation study. Curr Med Res Opin 2022; 38:673-685. [PMID: 35060425 DOI: 10.1080/03007995.2022.2031941] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
OBJECTIVE Although HRQoL tools such as the EQ-5D-3L are significant in determining health status, these measures have not been validated in general populations in Australia. This study aims to psychometrically validate the EQ-5D-3L in a large population sample in Australia for the first time. METHODS The EQ-5D-3L was included in the Dental Care and Oral Health study (DCOHS), conducted in a South Australian population sample. The participants were 23-91 years old, and 44.1% were male. The EQ-5D-3L was responded to on a three-point rating scale ("none"/"no", "some" and "extremely"/"unable"/"confined"). We employed the area under the receiver operating characteristic curve (AUROC) to evaluate whether the EQ-5D-3L total score could identify participants with diagnosed diseases and mental health disorders. Psychometric validation of the EQ-5D-3L investigated dimensionality with Exploratory Graph Analysis, model fit, floor/ceiling effects and criterion validity. RESULTS The EQ-5D-3L comprised two dimensions, Activities and Symptoms. According to Root Mean Squared Error of Approximation (RMSEA) (<.05) and Comparative Fit Index (CFI) (>.950), the 2-dimensional structure showed excellent model fit with good reliability for the Activities subscale (Ωc = 0.80-95% CI [0.77, 0.83]), and poor reliability for the Symptom subscale (Ωc = 0.56-95% CI [0.53, 0.58]). The EQ-5D-3L showed adequate reliability (Ωc = 0.70-95% CI [0.67, 0.72]). The EQ-5D-3L showed good discrimination for diagnosed diseases (ranging from 64.3% to 86.3%). Floor/ceiling effects were observed across all items. The EQ-5D-3L total score discriminated between respondents who were experiencing health conditions (e.g. cancer, cardiovascular disease, stroke) from healthy individuals. DISCUSSION Despite the ceiling effects, the EQ-5D-3L displayed good psychometric properties as an HRQoL measure and discriminated between health states in the general South Australian population. Further research should investigate the psychometric properties of the EQ-5D-5L in South Australia and whether an increased number of response categories can mitigate the observed ceiling effects.
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Affiliation(s)
- Mehrsa Zakershahrak
- Australian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, Australia
| | - Pedro Henrique Ribeiro Santiago
- Australian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, Australia
- School of Public Health, The University of Adelaide, Adelaide, Australia
| | - Sneha Sethi
- Australian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, Australia
| | - Dandara Haag
- Australian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, Australia
- School of Public Health, The University of Adelaide, Adelaide, Australia
| | - Lisa Jamieson
- Australian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, Australia
| | - David Brennan
- Australian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide, Australia
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Campbell M, Page K, Longden T, Kenny P, Hossain L, Wilmot K, Kelly S, Kim Y, Haywood P, Mulhern B, Goodall S, van Gool K, Viney R, Cumming T, Soeberg M. Evaluation of the Victorian Healthy Homes Program: protocol for a randomised controlled trial. BMJ Open 2022; 12:e053828. [PMID: 35459665 PMCID: PMC9036464 DOI: 10.1136/bmjopen-2021-053828] [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: 11/04/2022] Open
Abstract
INTRODUCTION The evaluation of the Victorian Healthy Homes Program (VHHP) will generate evidence about the efficacy and cost-effectiveness of home upgrades to improve thermal comfort, reduce energy use and produce health and economic benefits to vulnerable households in Victoria, Australia. METHODS AND ANALYSIS The VHHP evaluation will use a staggered, parallel group clustered randomised controlled trial to test the home energy intervention in 1000 households. All households will receive the intervention either before (intervention group) or after (control group) winter (defined as 22 June to 21 September). The trial spans three winters with differing numbers of households in each cohort. The primary outcome is the mean difference in indoor average daily temperature between intervention and control households during the winter period. Secondary outcomes include household energy consumption and residential energy efficiency, self-reported respiratory symptoms, health-related quality of life, healthcare utilisation, absences from school/work and self-reported conditions within the home. Linear and logistic regression will be used to analyse the primary and secondary outcomes, controlling for clustering of households by area and the possible confounders of year and timing of intervention, to compare the treatment and control groups over the winter period. Economic evaluation will include a cost-effectiveness and cost-benefit analysis. ETHICS AND DISSEMINATION Ethical approval was received from Victorian Department of Human Services Human Research Ethics Committee (reference number: 04/17), University of Technology Sydney Human Research Ethics Committee (reference number: ETH18-2273) and Australian Government Department of Veterans Affairs. Study results will be disseminated in a final report and peer-reviewed journals. TRIAL REGISTRATION NUMBER ACTRN12618000160235.
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Affiliation(s)
- Margaret Campbell
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Katie Page
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Thomas Longden
- Australian National University, Canberra, Australian Capital Territory, Australia
| | - Patricia Kenny
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Lutfun Hossain
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Kerryn Wilmot
- Institute for Sustainable Futures, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Scott Kelly
- Institute for Sustainable Futures, University of Technology Sydney, Sydney, New South Wales, Australia
| | - YoHan Kim
- Institute for Sustainable Futures, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Philip Haywood
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Brendan Mulhern
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Stephen Goodall
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Kees van Gool
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Rosalie Viney
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Toby Cumming
- Sustainability Victoria, Melbourne, Victoria, Australia
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Economic evaluations for intensive care unit randomised clinical trials in Australia and New Zealand: Practical recommendations for researchers. Aust Crit Care 2022; 36:431-437. [PMID: 35341668 DOI: 10.1016/j.aucc.2022.02.002] [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: 09/04/2021] [Revised: 01/25/2022] [Accepted: 02/07/2022] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES Economic evaluations of intensive care unit (ICU) interventions have specific considerations, including how to cost ICU stays and accurately measure quality of life in survivors. The aim of this article was to develop best practice recommendations for economic evaluations alongside future ICU randomised controlled trials (RCTs). REVIEW METHODS We collated our experience based on expert consensus across several recent economic evaluations to provide best-practice, practical recommendations for researchers conducting economic evaluations alongside RCTs in the ICU. Recommendations were structured according to the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Consolidated Health Economic Evaluation Reporting Standards (CHEERS) Task Force Report. RESULTS We discuss recommendations across the components of economic evaluations, including: types of economic evaluation, the population and sample size, study perspective, comparators, time horizon, choice of health outcomes, measurement of effectiveness, measurement and valuation of quality of life, estimating resources and costs, analytical methods, and the increment cost-effectiveness ratio. We also provide future directions for research with regard to developing more robust economic evaluations for the ICU. CONCLUSION Economic evaluations should be built alongside ICU RCTs and should be designed a priori using appropriate follow-up and data collection to capture patient-relevant outcomes. Further work is needed to improve the quality of data available for linkage in Australia as well as developing costing methods for the ICU and appropriate quality of life measurements.
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Hua X, Catchpool M, Clarke P, Blackberry I, Chiang J, Holmes-Truscott E, Jenkins A, Khunti K, O'Neal D, Speight J, Furler J, Manski-Nankervis JA, Dalziel K. Cost-effectiveness of professional-mode flash glucose monitoring in general practice among adults with type 2 diabetes: Evidence from the GP-OSMOTIC trial. Diabet Med 2022; 39:e14747. [PMID: 34806780 DOI: 10.1111/dme.14747] [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: 06/03/2021] [Revised: 10/28/2021] [Accepted: 11/16/2021] [Indexed: 11/28/2022]
Abstract
AIM To assess the cost-effectiveness of professional-mode flash glucose monitoring in adults with type 2 diabetes in general practice compared with usual clinical care. METHODS An economic evaluation was conducted as a component of the GP-OSMOTIC trial, a pragmatic multicentre 12-month randomised controlled trial enrolling 299 adults with type 2 diabetes in Victoria, Australia. The economic evaluation was conducted from an Australian healthcare sector perspective with a lifetime horizon. Health-related quality of life (EQ-5D) and total healthcare costs were compared between the intervention and the usual care group within the trial period. The 'UKPDS Outcomes Model 2' was used to simulate post-trial lifetime costs, life expectancy and quality-adjusted life years (QALYs). RESULTS No significant difference in health-related quality of life and costs was found between the two groups within the trial period. Professional-mode flash glucose monitoring yielded greater QALYs (0.03 [95% CI: 0.02, 0.04]) and a higher cost (A$3807 [95% CI: 3604, 4007]) compared with usual clinical care using a lifetime horizon under the trial-based monitoring frequency, considered not cost-effective (incremental cost-effectiveness ratio = A$120,228). The intervention becomes cost-effective if sensor price is reduced to lower than 50%, or monitoring frequency is decreased to once per year while maintaining the same treatment effect on HbA1c . CONCLUSIONS Including professional-mode flash glucose monitoring every 3 months as part of a management plan for people with type 2 diabetes in general practice is not cost-effective, but could be if the sensor price or monitoring frequency can be reduced.
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Affiliation(s)
- Xinyang Hua
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Max Catchpool
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Philip Clarke
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Irene Blackberry
- John Richards Centre for Rural Ageing Research, La Trobe Rural Health School, La Trobe University, Wodonga, Victoria, Australia
| | - Jason Chiang
- Department of General Practice, University of Melbourne, Parkville, Victoria, Australia
- Westmead Applied Research Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Elizabeth Holmes-Truscott
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Victoria, Australia
| | - Alicia Jenkins
- National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| | - David O'Neal
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
| | - Jane Speight
- School of Psychology, Deakin University, Geelong, Victoria, Australia
- Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Victoria, Australia
| | - John Furler
- Department of General Practice, University of Melbourne, Parkville, Victoria, Australia
| | | | - Kim Dalziel
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia
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Ryan A, Paul CL, Cox M, Whalen O, Bivard A, Attia J, Bladin C, Davis SM, Campbell BCV, Parsons M, Grimley RS, Anderson C, Donnan GA, Oldmeadow C, Kuhle S, Walker FR, Hood RJ, Maltby S, Keynes A, Delcourt C, Hatchwell L, Malavera A, Yang Q, Wong A, Muller C, Sabet A, Garcia-Esperon C, Brown H, Spratt N, Kleinig T, Butcher K, Levi CR. TACTICS - Trial of Advanced CT Imaging and Combined Education Support for Drip and Ship: evaluating the effectiveness of an 'implementation intervention' in providing better patient access to reperfusion therapies: protocol for a non-randomised controlled stepped wedge cluster trial in acute stroke. BMJ Open 2022; 12:e055461. [PMID: 35149571 PMCID: PMC8845197 DOI: 10.1136/bmjopen-2021-055461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/22/2021] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Stroke reperfusion therapies, comprising intravenous thrombolysis (IVT) and/or endovascular thrombectomy (EVT), are best practice treatments for eligible acute ischemic stroke patients. In Australia, EVT is provided at few, mainly metropolitan, comprehensive stroke centres (CSC). There are significant challenges for Australia's rural and remote populations in accessing EVT, but improved access can be facilitated by a 'drip and ship' approach. TACTICS (Trial of Advanced CT Imaging and Combined Education Support for Drip and Ship) aims to test whether a multicomponent, multidisciplinary implementation intervention can increase the proportion of stroke patients receiving EVT. METHODS AND ANALYSIS This is a non-randomised controlled, stepped wedge trial involving six clusters across three Australian states. Each cluster comprises one CSC hub and a minimum of three primary stroke centre (PSC) spokes. Hospitals will work in a hub and spoke model of care with access to a multislice CT scanner and CT perfusion image processing software (MIStar, Apollo Medical Imaging). The intervention, underpinned by behavioural theory and technical assistance, will be allocated sequentially, and clusters will move from the preintervention (control) period to the postintervention period. PRIMARY OUTCOME Proportion of all stroke patients receiving EVT, accounting for clustering. SECONDARY OUTCOMES Proportion of patients receiving IVT at PSCs, proportion of treated patients (IVT and/or EVT) with good (modified Rankin Scale (mRS) score 0-2) or poor (mRS score 5-6) functional outcomes and European Quality of Life Scale scores 3 months postintervention, proportion of EVT-treated patients with symptomatic haemorrhage, and proportion of reperfusion therapy-treated patients with good versus poor outcome who presented with large vessel occlusion at spokes. ETHICS AND DISSEMINATION Ethical approval has been obtained from the Hunter New England Human Research Ethics Committee (18/09/19/4.13, HREC/18/HNE/241, 2019/ETH01238). Trial results will be disseminated widely through published manuscripts, conference presentations and at national and international platforms regardless of whether the trial was positive or neutral. TRIAL REGISTRATION NUMBER ACTRN12619000750189; UTNU1111-1230-4161.
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Affiliation(s)
- Annika Ryan
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Christine L Paul
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Martine Cox
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Olivia Whalen
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Andrew Bivard
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - John Attia
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Christopher Bladin
- Eastern Health Clinical School, Monash University, Box Hill, Victoria, Australia
| | - Stephen M Davis
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
| | - Mark Parsons
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Department of Neurology, Liverpool Hospital, Ingham Institute for Applied Medical Research, University of New South Wales South Western Sydney Clinical School, Liverpool, New South Wales, Australia
| | - Rohan S Grimley
- Queensland State-wide Stroke Clinical Network, Healthcare Improvement Unit, Queensland Health, Herston, Queensland, Australia
- School of Medicine, Griffith University, Southport, Queensland, Australia
| | - Craig Anderson
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Geoffrey A Donnan
- Department of Medicine and Neurology, Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia
- Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Christopher Oldmeadow
- Data Sciences, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Sarah Kuhle
- Queensland State-wide Stroke Clinical Network, Healthcare Improvement Unit, Queensland Health, Herston, Queensland, Australia
| | - Frederick R Walker
- Centre for Advanced Training Systems, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Rebecca J Hood
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- Centre for Advanced Training Systems, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Steven Maltby
- Centre for Advanced Training Systems, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Angela Keynes
- Centre for Advanced Training Systems, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Candice Delcourt
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
- Department of Clinical Medicine, Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Luke Hatchwell
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Alejandra Malavera
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Qing Yang
- Apollo Medical Imaging Technology Pty Ltd, Melbourne, Victoria, Australia
| | - Andrew Wong
- Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, Queensland, Australia
| | - Claire Muller
- Queensland State-wide Stroke Clinical Network, Healthcare Improvement Unit, Queensland Health, Herston, Queensland, Australia
- Royal Brisbane and Women's Hospital, University of Queensland, Brisbane, Queensland, Australia
| | - Arman Sabet
- School of Medicine, Griffith University, Southport, Queensland, Australia
- Department of Neurology, Gold Coast University Hospital, Southport, Queensland, Australia
| | - Carlos Garcia-Esperon
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- Area Administration, Hunter New England Local Health District, New Lambton, New South Wales, Australia
| | - Helen Brown
- Princess Alexandra Hospital, Woolloongabba, Queensland, Australia
| | - Neil Spratt
- Division of Medicine, Department of Neurology, John Hunter Hospital, New Lambton Heights, New South Wales, Australia
- School of Biomedical Sciences and Pharmacy, Translational Stroke Laboratory, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Timothy Kleinig
- Department of Neurology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Ken Butcher
- Department of Neurology, Liverpool Hospital, Ingham Institute for Applied Medical Research, University of New South Wales South Western Sydney Clinical School, Liverpool, New South Wales, Australia
- Clinical Neuroscience, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Christopher R Levi
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Area Administration, Hunter New England Local Health District, New Lambton, New South Wales, Australia
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Short Daily-Life Walking Bouts and Poor Self-Reported Health Predict the Onset of Depression in Community-Dwelling Older People: A 2-Year Longitudinal Cohort Study. J Am Med Dir Assoc 2022; 23:1242-1247.e3. [DOI: 10.1016/j.jamda.2021.12.042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 12/07/2021] [Accepted: 12/25/2021] [Indexed: 11/23/2022]
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Dawson LP, Dinh DT, Stub D, Ahern S, Bloom JE, Duffy SJ, Lefkovits J, Brennan A, Reid CM, Oqueli E. Health-related quality of life following percutaneous coronary intervention during the COVID-19 pandemic. Qual Life Res 2022; 31:2375-2385. [PMID: 34978043 PMCID: PMC8720546 DOI: 10.1007/s11136-021-03056-0] [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: 11/25/2021] [Indexed: 12/02/2022]
Abstract
Purpose During the COVID-19 pandemic, widespread public health measures were implemented to control community transmission. The association between these measures and health-related quality of life (HRQOL) among patients following percutaneous coronary intervention has not been studied. Methods We included consecutive patients undergoing percutaneous coronary intervention (PCI) in the state-wide Victorian Cardiac Outcomes Registry between 1/3/2020 and 30/9/2020 (COVID-19 period; n = 5024), with a historical control group from the identical period one year prior (control period; n = 5041). HRQOL assessment was performed via telephone follow-up 30 days following PCI using the 3-level EQ-5D questionnaire and Australian-specific index values. Results Baseline characteristics were similar between groups, but during the COVID-19 period indication for PCI was more common for acute coronary syndromes. No patients undergoing PCI were infected with COVID-19 at the time of their procedure. EQ-5D visual analogue score (VAS), index score, and individual components were higher at 30 days following PCI during the COVID-19 period (all P < 0.01). In multivariable analysis, the COVID-19 period was independently associated with higher VAS and index scores. No differences were observed between regions or stage of restrictions in categorical analysis. Similarly, in subgroup analysis, no significant interactions were observed. Conclusion Measures of HRQOL following PCI were higher during the COVID-19 pandemic compared to the previous year. These data suggest that challenging community circumstances may not always be associated with poor patient quality of life. Supplementary Information The online version contains supplementary material available at 10.1007/s11136-021-03056-0.
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Affiliation(s)
- Luke P Dawson
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, VIC, Australia.,Department of Cardiology, The Alfred Hospital, Melbourne, VIC, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Diem T Dinh
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Dion Stub
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Susannah Ahern
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Jason E Bloom
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Stephen J Duffy
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Jeffrey Lefkovits
- Department of Cardiology, Royal Melbourne Hospital, Melbourne, VIC, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Angela Brennan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Christopher M Reid
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Centre of Clinical Research and Education, School of Public Health, Curtin University, Perth, WA, Australia
| | - Ernesto Oqueli
- Department of Cardiology, Ballarat Health Services, 1 Drummond St North, Ballarat, VIC, 3350, Australia. .,School of Medicine, Faculty of Health, Deakin University, Geelong, VIC, Australia.
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Papadopoulos G, Griffin S, Rathi H, Gupta A, Sharma B, van Bavel D. Cost-effectiveness analysis of arthroscopic injection of a bioadhesive hydrogel implant in conjunction with microfracture for the treatment of focal chondral defects of the knee - an Australian perspective. J Med Econ 2022; 25:712-721. [PMID: 35575263 DOI: 10.1080/13696998.2022.2078574] [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] [Indexed: 10/18/2022]
Abstract
AIM JointRep is a bioadhesive hydrogel arthroscopically injected to facilitate cartilage regeneration. The cost-effectiveness of JointRep with microfracture surgery compared to microfracture alone was evaluated from the Australian healthcare system perspective, in patients with symptomatic focal chondral defects (Outerbridge Grade 3 or 4) of the knee who had failed conservative treatment and were indicated for surgery. MATERIALS AND METHODS A de novo Markov model comprising two health states- 'Alive' and 'Dead' was developed. Model transition probability was based on the general population mortality rates. Clinical outcomes were assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, a validated patient-reported tool measuring pain, stiffness, and physical function. The utility was derived by mapping WOMAC scores to EQ-5D scores using a published algorithm. Cost inputs were based on published Australian costs from AR-DRGs, Medicare Benefits Schedule, and Prostheses List. Model outcomes included costs, Quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER). Base-case analysis was conducted for a time horizon of 3 years and a cycle length of 1 year. Cost and health outcomes were discounted at 5% per annum. Sensitivity and scenario analyses were also conducted. RESULTS Total QALYs were estimated to be higher for JointRep with microfracture surgery (2.61) compared to microfracture surgery alone (1.66), an incremental gain of 0.95 QALY. JointRep with microfracture surgery was associated with an incremental cost of $6,022 compared to microfracture surgery alone, thus leading to an ICER of $6,328. Results were substantially robust to varying parameters in the sensitivity analyses conducted, alternative model settings and assumptions in scenario analyses. LIMITATIONS The clinical inputs used in the model were based on data from short duration, non-randomized, post-market clinical trial. CONCLUSIONS JointRep with microfracture surgery is a cost-effective treatment option compared to microfracture alone from the Australian health care system perspective.
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Affiliation(s)
- George Papadopoulos
- Lucid Health Consulting Pty Ltd, Sydney, Australia
- University of NSW, Sydney, Australia
| | | | | | - Amit Gupta
- Skyward Analytics Pvt Ltd, Gurgaon, India
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Talevski J, Sanders KM, Watts JJ, Nicholson GC, Seeman E, Iuliano S, Prince R, March L, Winzenberg T, Duque G, Ebeling PR, Borgström F, Kanis JA, Stuart AL, Beauchamp A, Brennan-Olsen SL. Sex differences in recovery of quality of life 12 months post-fracture in community-dwelling older adults: analyses of the Australian arm of the International Costs and Utilities Related to Osteoporotic Fractures Study (AusICUROS). Osteoporos Int 2022; 33:67-75. [PMID: 34235548 DOI: 10.1007/s00198-021-06058-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/29/2021] [Indexed: 12/21/2022]
Abstract
In this study of 695 Australian older adults (aged ≥50 years), we found that men and women had a similar trajectory of health-related quality of life (HRQoL) recovery following fragility fracture at any skeletal site. These results provide us with critical knowledge that improves our understanding of health outcomes post-fracture. INTRODUCTION Mortality is higher in men than that in women following a fragility fracture, but it is unclear whether recovery of patient-reported outcomes such as health-related quality of life (HRQoL) differs between sexes. This study aimed to identify sex differences in HRQoL recovery 12 months post-fracture. METHODS Data were from the Australian arm of the International Costs and Utilities Related to Osteoporotic Fractures Study (AusICUROS). Participants recruited to AusICUROS were adults aged ≥50 years who sustained a fragility fracture. HRQoL was measured using the EQ-5D-3L at three time-points post-fracture: within 2 weeks (including pre-fracture recall) and at 4 and 12 months. Multivariate logistic regression analyses were undertaken, adjusting for confounders including age, education, income, and healthcare utilization post-fracture. RESULTS Overall, 695 AusICUROS participants (536 women, 77.1%) were eligible for analysis with fractures at the hip (n = 150), distal forearm (n = 261), vertebrae (n = 61), humerus (n = 52), and other skeletal sites (n = 171). At the time of fracture, men were younger, reported a higher income, and were more likely to be employed, compared with women. For all fracture sites combined, there were no differences between men and women in recovery to pre-fracture HRQoL at 12-month follow-up (adjusted OR = 1.09; 95% CI: 0.75-1.61). When stratified by fracture site, no significant sex differences were seen for hip (OR = 1.02; 95% CI: 0.42-2.52), distal forearm (OR = 1.60; 95% CI: 0.68-3.78), vertebral (OR = 2.28; 95% CI: 0.61-8.48), humeral (OR = 1.62; 95% CI: 0.16-9.99), and other fractures (OR = 1.00; 95% CI: 0.44-2.26). CONCLUSION Community-dwelling men and women who survived the 12 months following fragility fracture had a similar trajectory of HRQoL recovery at any skeletal site.
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Affiliation(s)
- J Talevski
- Department of Medicine-Western Health, WCHRE Building, The University of Melbourne, 176 Furlong Road, St Albans, Victoria, VIC, 3021, Australia.
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Victoria, Australia.
| | - K M Sanders
- Department of Medicine-Western Health, WCHRE Building, The University of Melbourne, 176 Furlong Road, St Albans, Victoria, VIC, 3021, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Victoria, Australia
- School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - J J Watts
- School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
- Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
| | - G C Nicholson
- Department of Medicine-Western Health, WCHRE Building, The University of Melbourne, 176 Furlong Road, St Albans, Victoria, VIC, 3021, Australia
- Rural Clinical School, The University of Queensland, Toowoomba, Australia
| | - E Seeman
- Departments of Endocrinology and Medicine, The University of Melbourne/Austin Health, Heidelberg, Victoria, Australia
- Mary McKillip Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - S Iuliano
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Victoria, Australia
- Departments of Endocrinology and Medicine, The University of Melbourne/Austin Health, Heidelberg, Victoria, Australia
| | - R Prince
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Medical School, Sir Charles Gardner Unit, The University Western Australia, Perth, Western Australia, Australia
| | - L March
- Institute of Bone and Joint Research, Royal North Shore Hospital, University of Sydney, Sydney, New South Wales, Australia
| | - T Winzenberg
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - G Duque
- Department of Medicine-Western Health, WCHRE Building, The University of Melbourne, 176 Furlong Road, St Albans, Victoria, VIC, 3021, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Victoria, Australia
| | - P R Ebeling
- Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia
| | - F Borgström
- Quantify Research, Stockholm, Sweden
- Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institute, Stockholm, Sweden
| | - J A Kanis
- Mary McKillip Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
- Centre for Metabolic Bone Diseases, University of Sheffield, Sheffield, UK
| | - A L Stuart
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine Deakin University, Geelong, Victoria, Australia
| | - A Beauchamp
- Department of Medicine-Western Health, WCHRE Building, The University of Melbourne, 176 Furlong Road, St Albans, Victoria, VIC, 3021, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Victoria, Australia
- School of Rural Health, Monash University, Victoria, Australia
| | - S L Brennan-Olsen
- Department of Medicine-Western Health, WCHRE Building, The University of Melbourne, 176 Furlong Road, St Albans, Victoria, VIC, 3021, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, Victoria, Australia
- School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
- Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia
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49
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Lawson KD, Occhipinti JA, Freebairn L, Skinner A, Song YJC, Lee GY, Huntley S, Hickie IB. A Dynamic Approach to Economic Priority Setting to Invest in Youth Mental Health and Guide Local Implementation: Economic Protocol for Eight System Dynamics Policy Models. Front Psychiatry 2022; 13:835201. [PMID: 35573322 PMCID: PMC9103687 DOI: 10.3389/fpsyt.2022.835201] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 03/01/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Mental illness costs the world economy over US2.5 Bn each year, including premature mortality, morbidity, and productivity losses. Multisector approaches are required to address the systemic drivers of mental health and ensure adequate service provision. There is an important role for economics to support priority setting, identify best value investments and inform optimal implementation. Mental health can be defined as a complex dynamic system where decision makers are challenged to prospectively manage the system over time. This protocol describes the approach to equip eight system dynamics (SD) models across Australia to support priority setting and guide portfolio investment decisions, tailored to local implementation context. METHODS As part of a multidisciplinary team, three interlinked protocols are developed; (i) the participatory process to codesign the models with local stakeholders and identify interventions for implementation, (ii) the technical protocol to develop the SD models to simulate the dynamics of the local population, drivers of mental health, the service system and clinical outcomes, and (iii) the economic protocol to detail how the SD models will be equipped to undertake a suite of economic analysis, incorporating health and societal perspectives. Models will estimate the cost of mental illness, inclusive of service costs (health and other sectors, where necessary), quality-adjusted life years (QALYs) lost, productivity costs and carer costs. To assess the value of investing (disinvesting) in interventions, economic analysis will include return-on-investment, cost-utility, cost benefit, and budget impact to inform affordability. Economic metrics are expected to be dynamic, conditional upon changing population demographics, service system capacities and the mix of interventions when synergetic or antagonistic interactions. To support priority setting, a portfolio approach will identify best value combinations of interventions, relative to a defined budget(s). User friendly dashboards will guide decision makers to use the SD models to inform resource allocation and generate business cases for funding. DISCUSSION Equipping SD models to undertake economic analysis is intended to support local priority setting and help optimise implementation regarding the best value mix of investments, timing and scale. The objectives are to improve allocative efficiency, increase mental health and economic productivity.
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Affiliation(s)
- Kenny D Lawson
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Jo-An Occhipinti
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Computer Simulation & Advanced Research Technologies (CSART), Sydney, NSW, Australia
| | - Louise Freebairn
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Computer Simulation & Advanced Research Technologies (CSART), Sydney, NSW, Australia.,Research School of Population Health, Australian National University, Canberra, ACT, Australia
| | - Adam Skinner
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Yun Ju C Song
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Grace Yeeun Lee
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Sam Huntley
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Ian B Hickie
- Faculty of Medicine and Health, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
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50
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Sharwood LN, Kifley A, Craig A, Gopinath B, Jagnoor J, Cameron ID. Comparison of physical and psychological health outcomes for motorcyclists and other road users after land transport crashes: an inception cohort study. BMC Public Health 2021; 21:1983. [PMID: 34727891 PMCID: PMC8565041 DOI: 10.1186/s12889-021-12003-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 10/14/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Serious injuries and fatalities among vulnerable road users on two wheeled motorised vehicles have increased across Australia and internationally in the past decade yet fallen for motor vehicle occupants. Almost half of all reported motorcycle injury crashes cause serious injury or death, nearly double that of motor vehicle police-reported crashes. This study explores associations with sociodemographic and pre-injury health characteristics and health outcomes after a road traffic injury; aiming to compare motorcyclists with other road users and inform recovery care. METHODS An inception cohort study recruited 1854 individuals aged > 17 years, injured following land-transport crashes in New South Wales, Australia (July 2013-November 2016). Interviews conducted at baseline, 6-and 12-months post-injury elicited demographic, socioeconomic, and self-reported health conditions. RESULTS Primary analysis involved 1854 participants who were recruited at baseline as three distinct road user groups; 628 (33.9%) motorcyclists, 927 (50%) vehicle occupants and 299 (16.1%) bicyclists. At baseline, injury patterns differed significantly between road user groups; motorcyclists were more than twice as likely to sustain lower extremity injury (p < 0.001); to have more severe injury severity scores (p < 0.001) and longer hospital stays versus vs vehicle occupants and bicyclists (< 0.001) across these measures. Injured motorcyclists were predominantly male (88.1%, p < 0.001), were younger on average (38 years) than bicyclists (41.5 years), had lower income and education levels, and poorer pre-injury physical health than other road user groups. Despite these differences, at 12 months post-injury motorcyclists had better physical health (SF12-PCS 2.07 (0.77, 3.36), p = 0.002) and reported lower pain scores (- 0.51 (- 0.83, - 0.2), p < 0.001) than vehicle occupants. Motorcyclists displayed less evidence of psychological distress than vehicle occupants, but more than bicyclists across several measures used. CONCLUSIONS Road user types differ in important characteristics, including pre-injury health status and recovery after injury. As vulnerable road users experiencing transport crash and considering their higher initial injury severity, the degree of recovery among motorcyclists compared with other user types is remarkable and unexplained. Health and recovery outcomes after land-transport crashes is least favourable among vehicle occupants despite their higher levels of protection in a crash. This information is valuable for targeting early intervention strategies by road user type during the post-crash care phase, to improve long-term recovery.
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Affiliation(s)
- Lisa N Sharwood
- John Walsh Centre for Rehabilitation Research, University of Sydney, Northern Clinical School, Faculty of Medicine and Health, 1 Reserve Road, St Leonards, NSW, 2065, Australia. .,University of Technology Sydney, Faculty of Engineering and Risk, Ultimo, Australia.
| | - Annette Kifley
- John Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, Northern Clinical School, Faculty of Medicine and Health, 1 Reserve Road., St Leonards, NSW, 2065, Australia
| | - Ashley Craig
- John Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, Northern Clinical School, Faculty of Medicine and Health, 1 Reserve Road., St Leonards, NSW, 2065, Australia
| | - Bamini Gopinath
- John Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, Northern Clinical School, Faculty of Medicine and Health, 1 Reserve Road., St Leonards, NSW, 2065, Australia
| | - Jagnoor Jagnoor
- John Walsh Centre for Rehabilitation Research, University of Sydney, Northern Clinical School, Faculty of Medicine and Health, 1 Reserve Road, St Leonards, NSW, 2065, Australia.,The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Ian D Cameron
- John Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, Northern Clinical School, Faculty of Medicine and Health, 1 Reserve Road., St Leonards, NSW, 2065, Australia
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