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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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Yasunaka M, Tsugihashi Y, Hayashi S, Iida H, Hirose M, Shirahige Y, Kurita N. Relationship of life expectancy with quality of life and health-related hope among Japanese patients receiving home medical care: The Zaitaku Evaluative Initiatives and Outcome Study. PLoS One 2023; 18:e0295672. [PMID: 38096245 PMCID: PMC10721024 DOI: 10.1371/journal.pone.0295672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 11/28/2023] [Indexed: 12/17/2023] Open
Abstract
Spiritual care for patients' quality of life (QOL) and hope should be included in home medical care for patients with limited life expectancy. This study aimed to analyze the associations between estimated life expectancy, QOL, and hope among patients receiving home medical care in Japan. This multicenter cross-sectional study involved 29 home medical care facilities in Japan. Patients were categorized by estimated life expectancy, as assessed by home medical care physicians. The outcomes were QOL measured via the Quality-of-Life Scale for Elderly Patients Receiving Professional Home Care (QOL-HC: higher score indicates better QOL), the domain scores of health-related hope ("health," "role and connectedness," and "something to live for"; higher scores indicate higher levels of hope), and life functioning measured using the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0; higher score indicates worse functioning and disability). QOL-HC scores were significantly higher in patients with shorter life expectancy (< 6 m vs. ≥ 1 y, adjusted mean differences: 0.7 points [95%CI 0.1 to 1.3]). Regarding health-related hope, "something to live for" scores were associated with shorter life expectancy (< 6 m vs. ≥ 1 y, -17.7 points [-34.2 to -1.2]), whereas "role and connectedness" scores did not change remarkably with shorter life expectancy (< 6 m vs. ≥ 1 y, -3.3 points [-16.4 to 9.8]). Furthermore, shorter life expectancy was associated with higher WHODAS 2.0 scores (< 6 m vs. ≥ 1 y, 19.6 points [4.3 to 34.8]). Home medical care physicians who engage in spiritual care should facilitate thoughtful dialogue with their patients by recognizing declines in life functions and hope for fulfilment, which are associated with short life expectancy.
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Affiliation(s)
- Masakazu Yasunaka
- Dr. Net Nagasaki, Nagasaki-City, Nagasaki, Japan
- Yasunaka Neurosurgery Clinic, Nagasaki-City, Nagasaki, Japan
| | - Yukio Tsugihashi
- Medical Home Care Center, Tenri Hospital Shirakawa Branch, Tenri-City, Nara, Japan
- Department of Public Health, Health Management and Policy, Nara Medical University, Kashihara-City, Nara, Japan
| | - Shinu Hayashi
- You Home Clinic, Bunkyo-ku, Tokyo, Japan
- You Home Clinic Heiwadai, Nerima-ku, Tokyo, Japan
| | - Hidekazu Iida
- You Home Clinic, Bunkyo-ku, Tokyo, Japan
- Department of Clinical Epidemiology, Graduate School of Medicine, Fukushima Medical University, Fukushima-City, Fukushima, Japan
- Center for Next Generation of Community Health, Chiba University Hospital, Chiba-City, Chiba, Japan
| | - Misaki Hirose
- Dr. Net Nagasaki, Nagasaki-City, Nagasaki, Japan
- Hirose Clinic, Nagasaki-City, Nagasaki, Japan
| | - Yutaka Shirahige
- Dr. Net Nagasaki, Nagasaki-City, Nagasaki, Japan
- Shirahige Clinic, Nagasaki-City, Nagasaki, Japan
| | - Noriaki Kurita
- Department of Clinical Epidemiology, Graduate School of Medicine, Fukushima Medical University, Fukushima-City, Fukushima, Japan
- Department of Innovative Research and Education for Clinicians and Trainees (DiRECT), Fukushima Medical University Hospital, Fukushima-City, Fukushima, Japan
- Center for Innovative Research for Communities and Clinical Excellence (CiRCLE), Fukushima Medical University, Fukushima-City, Fukushima, Japan
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Sajobi TT, Ayilara OF, Dhuga GK, Ferro MA. Response shift in parent-reported psychopathology in children with chronic physical illness. Qual Life Res 2023; 32:3099-3108. [PMID: 37326699 DOI: 10.1007/s11136-023-03458-2] [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: 06/01/2023] [Indexed: 06/17/2023]
Abstract
PURPOSE Because physical-mental comorbidity in children is relatively common, this study tested for response shift (RS) in children with chronic physical illness using a parent-reported measure of child psychopathology. METHODS Data come from Multimorbidity in Children and Youth across Life-course (MY LIFE), a prospective study of n = 263 children aged 2-16 years with physical illness in Canada. Parents provided information on child psychopathology using the Ontario Child Health Study Emotional Behavioral Scales (OCHS-EBS) at baseline and 24 months. Oort's structural equation modeling was used to test for different forms of RS in parent-reported assessments between baseline and 24 months. Model fit was evaluated using root mean square error of approximation (RMSEA), comparative fit index (CFI), and standardized root mean residual (SRMR). RESULTS There were n = 215 (81.7%) children with complete data and were included in this analysis. Of these, n = 105 (48.8%) were female and the mean (SD) age was 9.4 (4.2) years. A two-factor measurement model provided good fit to the data [RMSEA (90% CI) = 0.05 (0.01, 0.10); CFI = 0.99; SRMR = 0.03]. Non-uniform recalibration RS was detected on the conduct disorder subscale of the OCHS-EBS. This RS effect had negligible impact on the longitudinal change in externalizing and internalizing disorders construct over time. CONCLUSIONS Response shift detected on the conduct disorder subscale of the OCHS-EBS, indicated that parents of children with physical illness may recalibrate their responses on child psychopathology over 24 months. Researchers and health professionals should be aware of RS when using the OCHS-EBS to assess child psychopathology over time.
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Affiliation(s)
- Tolulope T Sajobi
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
- O'Brien Institute for Public Health, University of Calgary, Calgary, Canada.
| | - Olawale F Ayilara
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Gurkiran K Dhuga
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - Mark A Ferro
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
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Perdomo-Argüello FJ, Ortega-Gómez E, Galindo-Villardón P, Leiva V, Vicente-Galindo P. STATIS multivariate three-way method for evaluating quality of life after corneal surgery: Methodology and case study in Costa Rica. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:6110-6133. [PMID: 37161100 DOI: 10.3934/mbe.2023264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Vision-related quality of life (QoL) analyzes the visual function concerning individual well-being based on activity and social participation. Because QoL is a multivariate construct, a multivariate statistical method must be used to analyze this construct. In this paper, we present a methodology based on STATIS multivariate three-way methods to assess the real change in vision-related QoL for myopic patients by comparing their conditions before and after corneal surgery. We conduct a case study in Costa Rica to detect the outcomes of patients referred for myopia that underwent refractive surgery. We consider a descriptive, observational and prospective study. We utilize the NEI VFQ-25 instrument to measure the vision-related QoL in five different stages over three months. After applying this instrument/questionnaire, a statistically significant difference was detected between the perceived QoL levels. In addition, strong correlations were identified with highly similar structures ranging from 0.857 to 0.940. The application of the dual STATIS method found the non-existence of reconceptualization in myopic patients, but a statistically significant recalibration was identified. Furthermore, a real change was observed in all patients after surgery. This finding has not been stated previously due to the limitations of the existing statistical tools. We demonstrated that dual STATIS is a multivariate method capable of evaluating vision-related QoL data and detecting changes in recalibration and reconceptualization.
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Affiliation(s)
| | - Estelina Ortega-Gómez
- Departamento de Estadística, Universidad de Panamá, Panama City, Panama
- Departamento de Estadística, Universidad de Salamanca, Salamanca, Spain
| | - Purificación Galindo-Villardón
- Departamento de Estadística, Universidad de Salamanca, Salamanca, Spain
- Centro de Estudios e Investigaciones Estadísticas, ESPOL, Guayaquil, Ecuador
- Centro de Gestión de Estudios Estadísticos, Universidad Estatal de Milagro, Guayas, Ecuador
| | - Víctor Leiva
- Escuela de Ingeniería Industrial, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
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Fonseca-Correa JI, Jassal SV. Health Care for Older Adults with Kidney Failure. Clin J Am Soc Nephrol 2022; 17:1110-1112. [PMID: 35902129 PMCID: PMC9435978 DOI: 10.2215/cjn.07110622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Jorge I. Fonseca-Correa
- Department of Nephrology and Mineral Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - S. Vanita Jassal
- Division of Nephrology, University Health Network, Toronto, Ontario, Canada,Medicine, University of Toronto, Toronto, Ontario, Canada
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