The revised patient satisfaction questionnaire (PSQ-R): validity, reliability, equivalence, and network analysis among hospitalized patients in the Chinese population

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Niu, Z, Huang, L, He, H, Mei, S, Li, L and Griffiths, MD ORCID: https://orcid.org/0000-0001-8880-6524, 2024. The revised patient satisfaction questionnaire (PSQ-R): validity, reliability, equivalence, and network analysis among hospitalized patients in the Chinese population. BMC Health Services Research, 24: 1289. ISSN 1472-6963

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Official URL: https://doi.org/10.1186/s12913-024-11788-1

Abstract

Objectives: The study of comprehensive satisfaction with healthcare is still limited due to nonstandard measurement tools of patient satisfaction for the Chinese population. Therefore, the present study aimed to verify the validity, reliability, and measurement invariance of the revised Patient Satisfaction Questionnaire (PSQ-R) and conducted network analysis among a sample of the Chinese population.

Methods: A cross-sectional study using telephone surveys was conducted from April 2022 to August 2022. A total of 1377 participants who had been hospitalized completed the survey (481 males [34.9%], mean age = 49.4 years [SD ± 19.0]).

Results: Four factors (‘satisfaction with medical staff’, ‘satisfaction with hospital’, ‘satisfaction with medical costs’, and ‘satisfaction with medical insurance premiums’), were verified through confirmatory factor analysis (CFA) and had good equivalence across genders. The ‘satisfaction with medical staff’ and ‘satisfaction with hospital’ factors had the strongest edge intensity in the factor-level network.

Conclusions: The 18-item (four-factor) PSQ-R has good validity, reliability, and measurement invariance. The four dimensions appear to describe patient satisfaction well among the Chinese population who had been hospitalized. To effectively enhance patient satisfaction, the quality of healthcare service and medical staff skills should both be improved, medical insurance premiums should be increased, and medical costs should be decreased.

Item Type:	Journal article
Publication Title:	BMC Health Services Research
Creators:	Niu, Z., Huang, L., He, H., Mei, S., Li, L. and Griffiths, M.D.
Publisher:	Springer
Date:	28 October 2024
Volume:	24
ISSN:	1472-6963
Identifiers:	Number Type 10.1186/s12913-024-11788-1 DOI 2267695 Other
Rights:	© the author(s) 2024. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Divisions:	Schools > School of Social Sciences
Record created by:	Jonathan Gallacher
Date Added:	29 Oct 2024 08:39
Last Modified:	29 Oct 2024 08:39
URI:	https://irep.ntu.ac.uk/id/eprint/52478