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Sawatzky R, Sajobi TT, Russell L, Awosoga OA, Ademola A, Böhnke JR, Lawal O, Brobbey A, Lix LM, Anota A, Sebille V, Sprangers MAG, Verdam MGE. Response shift results of quantitative research using patient-reported outcome measures: a descriptive systematic review. Qual Life Res 2024; 33:293-315. [PMID: 37702809 PMCID: PMC10850024 DOI: 10.1007/s11136-023-03495-x] [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: 07/21/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE The objective of this systematic review was to describe the prevalence and magnitude of response shift effects, for different response shift methods, populations, study designs, and patient-reported outcome measures (PROM)s. METHODS A literature search was performed in MEDLINE, PSYCINFO, CINAHL, EMBASE, Social Science Citation Index, and Dissertations & Theses Global to identify longitudinal quantitative studies that examined response shift using PROMs, published before 2021. The magnitude of each response shift effect (effect sizes, R-squared or percentage of respondents with response shift) was ascertained based on reported statistical information or as stated in the manuscript. Prevalence and magnitudes of response shift effects were summarized at two levels of analysis (study and effect levels), for recalibration and reprioritization/reconceptualization separately, and for different response shift methods, and population, study design, and PROM characteristics. Analyses were conducted twice: (a) including all studies and samples, and (b) including only unrelated studies and independent samples. RESULTS Of the 150 included studies, 130 (86.7%) detected response shift effects. Of the 4868 effects investigated, 793 (16.3%) revealed response shift. Effect sizes could be determined for 105 (70.0%) of the studies for a total of 1130 effects, of which 537 (47.5%) resulted in detection of response shift. Whereas effect sizes varied widely, most median recalibration effect sizes (Cohen's d) were between 0.20 and 0.30 and median reprioritization/reconceptualization effect sizes rarely exceeded 0.15, across the characteristics. Similar results were obtained from unrelated studies. CONCLUSION The results draw attention to the need to focus on understanding variability in response shift results: Who experience response shifts, to what extent, and under which circumstances?
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Affiliation(s)
- Richard Sawatzky
- School of Nursing, Trinity Western University, 22500 University Drive, Langley, BC, V2Y 1Y1, Canada.
- Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, Canada.
- University of Gothenburg Centre for Person‑Centred Care (GPCC), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
| | - Tolulope T Sajobi
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Lara Russell
- School of Nursing, Trinity Western University, 22500 University Drive, Langley, BC, V2Y 1Y1, Canada
- Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, Canada
| | | | - Ayoola Ademola
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Jan R Böhnke
- School of Health Sciences, University of Dundee, Dundee, UK
| | - Oluwaseyi Lawal
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Anita Brobbey
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Lisa M Lix
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Amelie Anota
- Methodology and Quality of Life Unit in Oncology, University Hospital of Besançon, Besançon, France
| | - Véronique Sebille
- INSERM, MethodS in Patient-Centered Outcomes and HEalth ResEarch, SPHERE, Nantes Université, Université de Tours, CHU Nantes, 44000, Nantes, France
| | - Mirjam A G Sprangers
- Medical Psychology, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Mental Health, Amsterdam Public Health, Amsterdam, The Netherlands
| | - Mathilde G E Verdam
- Medical Psychology, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands
- Mental Health, Amsterdam Public Health, Amsterdam, The Netherlands
- Department of Methodology and Statistics, Institute of Psychology, Leiden University, Leiden, The Netherlands
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Balázs PG, Erdősi D, Zemplényi A, Brodszky V. Time trade-off health state utility values for depression: a systematic review and meta-analysis. Qual Life Res 2023; 32:923-937. [PMID: 36178658 PMCID: PMC10063515 DOI: 10.1007/s11136-022-03253-5] [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: 09/03/2022] [Indexed: 11/26/2022]
Abstract
PURPOSE This study aims to systematically review the literature on health utility in depression generated by time trade-off (TTO) method and to compare health state vignettes. METHODS Systematic literature search was conducted following PRISMA guideline in 2020 November (updated in 2022 March) in Pubmed, Web of Science, PsycInfo, and Cochrane Database of Systematic Reviews. Random effect meta-analysis was conducted to pool vignette-based utility values of mild, moderate, and severe depression and to compare the preferences of depressed and nondepressed population. RESULTS Overall, 264 records were found, 143 screened by title and abstract after removing duplicates, 18 assessed full text, and 14 original publications included. Majority of the studies (n = 9) used conventional TTO method, and most of the studies (n = 8) applied 10-year timeframe. Eight studies evaluated self-experienced health (own-current depression). Six studies assessed vignette-based health states of remitted, mild, moderate, and severe depression, half of them applied McSad measure based health description. Altogether, 61 different utility values have been cataloged, mean utility of self-experienced depression states (n = 33) ranged between 0.89 (current-own depression) and 0.24 (worst experienced depression). Pooled utility estimates for vignette-based mild, moderate, and severe depression was 0.75, 0.66 and 0.50, respectively. Meta-regression showed that severe depression (β = -0.16) and depressed sample populations (β = -0.13) significantly decrease vignette-based utility scores. CONCLUSION Our review revealed extent heterogeneity both in TTO methodology and health state vignette development. Patient's perception of depression health states was worse than healthy respondents.
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Affiliation(s)
- Péter György Balázs
- Doctoral School of Business and Management, Corvinus University of Budapest, Budapest, Hungary
- Institute of Social and Political Sciences, Department of Health Policy, Corvinus University of Budapest, Budapest, Hungary
| | - Dalma Erdősi
- Center for Health Technology Assessment and Pharmacoeconomic Research, Faculty of Pharmacy, University of Pécs, Pécs, Hungary
- Center for Health Technology Assessment, Semmelweis University, Budapest, Hungary
| | - Antal Zemplényi
- Center for Health Technology Assessment and Pharmacoeconomic Research, Faculty of Pharmacy, University of Pécs, Pécs, Hungary
| | - Valentin Brodszky
- Institute of Social and Political Sciences, Department of Health Policy, Corvinus University of Budapest, Budapest, Hungary
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Cao Y, Yang Z, Yu Y, Huang X. Physical activity, sleep quality and life satisfaction in adolescents: A cross-sectional survey study. Front Public Health 2022; 10:1010194. [PMID: 36605236 PMCID: PMC9807806 DOI: 10.3389/fpubh.2022.1010194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 10/11/2022] [Indexed: 12/24/2022] Open
Abstract
Background Physical activity, sleep is an important component of adolescents' 24-h movement behavior, and life satisfaction predicts adolescent physical and mental health. However, few studies have explored the relationship between the two variables among Chinese high school students. Consequently, this study aimed to explore the relationship between sleep quality and life satisfaction among Chinese high school students. Methods This cross-sectional study was conducted in October 2020 in five high schools in Xuchang City, China. High school students from senior 1 to senior 3 were asked to fill up a questionnaire of demographic characteristics and validated screen instructions for sleep quality (Pittsburgh Sleep Quality Index) and life satisfaction (Satisfaction with Life Scale). The multivariate regression model was applied to explore the association between sleep quality and life satisfaction. Results A total of 1127 individuals (51.1% males) participated in this survey, and the prevalence of poor sleep quality was 42.3%. The mean score on the Satisfaction with Life Scale was 16.72 ± 5.67, according to the corresponding scoring criteria, with 15-19 being generally dissatisfied. After controlling for demographic variables, the contribution of subjective sleep quality (β = - 0.181, p < 0.01), sleep duration (β = - 0.080, p < 0.01) and daytime dysfunction (β = - 0.311, p < 0.01) to life satisfaction of high school students increased to 23.2%, indicating that subjective sleep quality, sleep duration, and daytime dysfunction were 22.9% predictive of life satisfaction among high school students. And also, physical activity on schooldays and weekend days were associated with better sleep quality and higher life satisfaction (p < 0.05). Conclusions Among Chinese high school students, the prevalence of sleep problems was high, and the majority of students held moderate life satisfaction. Sleep quality was positively correlated with life satisfaction among Chinese high school students, with better sleep quality resulting in higher life satisfaction among students.
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Affiliation(s)
- Yunhua Cao
- Department of Physical Education, North China Electric Power University, Beijing, China
| | - Zhen Yang
- Physical Activity for Health Research Centre, Moray House School of Education and Sport, University of Edinburgh, Edinburgh, United Kingdom
| | - Yongbo Yu
- School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai, China
| | - Xin Huang
- School of Physical Education and Sports Science, South China Normal University, Guangzhou, China,*Correspondence: Xin Huang
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Hinz A, Zenger M, Leuteritz K, Mehnert-Theuerkauf A, Petrowski K. Do patients suffering from chronic diseases retrospectively overestimate how healthy they were before they fell ill? Int J Clin Health Psychol 2021; 21:100230. [PMID: 33995538 PMCID: PMC8091885 DOI: 10.1016/j.ijchp.2021.100230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 03/08/2021] [Indexed: 11/29/2022] Open
Abstract
Background/Objective: To examine the impact of a disease on a person's subjective health state, patients are often asked to assess their current health state and to retrospectively assess how healthy they were before they fell ill. The objective of this study was to test whether patients generally overestimated the quality of their pre-disease health. Method: Six samples of patients with chronic diseases (cancer patients, cardiovascular patients, and patients diagnosed with sarcoidosis, N between 197 and 1,197) were analyzed. The patients assessed their current health states and their health states at the time before diagnosis. The retrospective scores were compared with matched data from general population studies. Results: In three of the six studies, the retrospective health ratings of the patients were significantly higher than the general population norms (effect sizes between 0.24 and 0.46), two studies yielded nonsignificant effects, and in one study there was an opposite trend. The general overestimation of pre-disease health was more pronounced in older patients as compared with younger ones, and it was more pronounced when global health/quality of life was to be assessed. Conclusions: Retrospective assessments of pre-disease health states are not appropriate for assessing disease-related changes in a person's health state.
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Affiliation(s)
- Andreas Hinz
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany
| | - Markus Zenger
- Department of Applied Human Studies, University of Applied Sciences Magdeburg-Stendal, Germany.,Integrated Research and Treatment Center Adiposity Diseases, University of Leipzig, Germany
| | - Katja Leuteritz
- Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany
| | | | - Katja Petrowski
- Medical Psychology and Medical Sociology, Department of Psychosomatic Medicine and Psychotherapy, University of Mainz, Germany
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