The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.
A systematic review of the validity and reliability of patient‐reported experience measures
Open accessAbstract
Objectives: To identify patient‐reported experience measures (PREM s), assess their validity and reliability, and assess any bias in the study design of PREM validity and reliability testing. Data Sources/Study Setting: Articles reporting on PREM development and testing sourced from MEDLINE, CINAHL and Scopus databases up to March 13, 2018. Study Design: Systematic review. Data Collection/Extraction Methods: Critical appraisal of PREM study design was undertaken using the Appraisal tool for Cross‐Sectional Studies (AXIS). Critical appraisal of PREM validity and reliability was undertaken using a revised version of the COSMIN checklist. Principal Findings: Eighty‐eight PREM s were identified, spanning across four main health care contexts. PREM validity and reliability was supported by appropriate study designs. Internal consistency (n = 58, 65.2 percent), structural validity (n = 49, 55.1 percent), and content validity (n = 34, 38.2 percent) were the most frequently reported validity and reliability tests. Conclusions: Careful consideration should be given when selecting PREM s, particularly as seven of the 10 validity and reliability criteria were not undertaken in ≥50 percent of the PREM s. Testing PREM responsiveness should be prioritized for the application of PREM s where the end user is measuring change over time. Assessing measurement error/agreement of PREM s is important to understand the clinical relevancy of PREM scores used in a health care evaluation capacity.
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
A guideline of selecting and reporting intraclass correlation coefficients for reliability research
Koo, T. K., & Li, M. Y. (2016) · Journal of Chiropractic Medicine · doi:10.1016/j.jcm.2016.02.012 · Cited by 31,709
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,657
Crossing the Quality Chasm: A New Health System for the 21st Century
Committee on Quality of Health Care in America (2002) · Journal For Healthcare Quality · doi:10.1111/j.1945-1474.2002.tb00463.x · Cited by 8,483
SPSS survival manual : a step by step guide to data analysis using SPSS
Pallant, J. (2010) · Cited by 6,888
Conventional wisdom on measurement: A structural equation perspective.
Bollen, K., & Lennox, R. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.2.305 · Cited by 3,618
Assessing Risk of Bias in Included Studies
Higgins, J. P., & Altman, D. G. (2008) · Cochrane Handbook for Systematic Reviews of Interventions · doi:10.1002/9780470712184.ch8 · Cited by 3,396
COSMIN guideline for systematic reviews of patient-reported outcome measures
Prinsen, C. A. C., Mokkink, L. B., Bouter, L. M., Alonso, J., Patrick, D. L., de Vet, H. C. W., & Terwee, C. B. (2018) · Quality of Life Research · doi:10.1007/s11136-018-1798-3 · Cited by 3,345
Exploratory Factor Analysis: A Five-Step Guide for Novices
Williams, B., Onsman, A., & Brown, T. (2010) · Australasian Journal of Paramedicine · doi:10.33151/ajp.8.3.93 · Cited by 2,739
Cited by
Sheldon, E., Ezaydi, N., Ditmore, M., Fuseini, O., Ainley, R., Robinson, K., Hind, D., & Lobo, A. J. (2024) · Health Expectations · doi:10.1111/hex.14004 · Cited by 12
Metadata
- Authors
- Bull, C., Byrnes, J., Hettiarachchi, R., & Downes, M.
- Venue
- Health Services Research
- Publisher
- Wiley
- Published
- 2019-06-19
- Volume
- 54
- Issue
- 5
- Pages
- 1023-1035
- ISSN
- 0017-9124 (ISSN-L)
- 1475-6773
- OpenAlex
- W2950316838
- Cited by
- 331
- References
- 131
- FWCI
- 4.52
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.