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Quantifying Magnitude of Group‐Level Differences in Patient Experiences with Health Care
Author(s) -
Quigley Denise D.,
Elliott Marc N.,
Setodji Claude Messan,
Hays Ron D.
Publication year - 2018
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/1475-6773.12828
Subject(s) - patient experience , covariate , magnitude (astronomy) , medicine , patient satisfaction , data extraction , health care , medline , statistics , nursing , mathematics , physics , astronomy , political science , law , economics , economic growth
Objective Review approaches assessing magnitude of differences in patient experience scores between different providers. Data Sources 1990–2016 literature. Study Design Systematic literature review. Data Extraction Methods Of 812 articles mentioning “ CAHPS ,” “patient experience,” “patient satisfaction,” “important(ce),” “difference,” or “significance,” we identified 79 possible articles, yielding 35 for data abstraction. We included 22 articles measuring magnitude of differences in patient experiences. Principal Findings We identified three main ways of estimating magnitude of differences in patient experience scores: (1) by distribution/range of patient experience variable, (2) against external anchor, and (3) comparing a difference in patient experience on one covariate to differences in patient experience on other covariates. Conclusions We suggest routine estimation of magnitude in patient experience research. More work is needed documenting magnitude of differences between providers to make patient experience data more interpretable and usable.

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