The Correlation of Communication Effectiveness and Patient Satisfaction

This study assessed the correlation of 9 questions addressing communication effectiveness (the Communication Effectiveness Questionnaire [CEQ]) with other patient-reported experience measures (PREMs; satisfaction, perceived empathy) as well as patient-reported outcome measures (PROMs; pain intensity...

Full description

Saved in:
Bibliographic Details
Published in:Journal of patient experience Vol. 8; p. 2374373521998839
Main Authors: Versluijs, Yvonne, Lemmers, Maartje, Brown, Laura E., Gonzalez, Amanda I., Kortlever, Joost T. P., Ring, David
Format: Journal Article
Language:English
Published: Los Angeles, CA SAGE Publications 2021
Sage Publications Ltd
SAGE Publishing
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study assessed the correlation of 9 questions addressing communication effectiveness (the Communication Effectiveness Questionnaire [CEQ]) with other patient-reported experience measures (PREMs; satisfaction, perceived empathy) as well as patient-reported outcome measures (PROMs; pain intensity, activity tolerance) in patients with musculoskeletal illness or injury. In a cross-sectional study, 210 patients visiting an orthopedic surgeon completed the CEQ and measures of satisfaction with the visit, perceived empathy, pain intensity, and activity tolerance. We evaluated correlations between CEQ and other PREMs and CEQ and PROMs. We measured ceiling effects of the PREMs. Communication effectiveness correlated moderately with other PREMs such as satisfaction (ρ = 0.54; P < .001) and perceived empathy (ρ = 0.54; P < .001). Communication effectiveness did not correlate with PROMs: pain intensity (ρ = −0.01; P = .93) and activity tolerance (ρ = −0.05; P = .44). All of the experience measures have high ceiling effects: perceived empathy 37%, satisfaction 80%, and CEQ 46%. The observation of notable correlations of various PREMs, combined with their high ceiling effects, direct us to identify a likely common statistical construct (which we hypothesize as “relationship”) accounting for variation in PREMs, and then develop a PREM which measures that construct in a manner that results in a Gaussian distribution of scores. At least within the limitations of current experience measures, there seems to be no association between illness (PROMs) and experience (PREMs).
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2374-3735
2374-3743
DOI:10.1177/2374373521998839