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Published in: BMC Neurology 1/2022

Open Access 01-12-2022 | Stroke | Research

Development and validation of the Health Education Adherence Scale for Stroke Patients: a cross-sectional study

Authors: Weiwei Ding, Junya Chen, Jing Liu, Beibei Lin, Shihen Li, Fengzhen Li, Junyi Guo, Yun Li, Jufang Li

Published in: BMC Neurology | Issue 1/2022

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Abstract

Background

Due to the lack of health education adherence assessment tools for stroke patients, the assessment of health education adherence in this population is insufficient, which hinders the prevention and rehabilitation of stroke. This study aims to develop and validate a Health Education Adherence Scale for Stroke Patients (HEAS-SP).

Methods

A cross-sectional design with a purposive sampling method was used for this study. Six hundred and fifty-four eligible participants completed the demographic questionnaire and the HEAS-SP. The data collection lasted for 7 months, from March 1stto September 30th in 2019. Item analysis and exploratory and confirmatory factor analysis were employed to develop and validate the HEAS-SP.

Results

The item analysis, exploratory and confirmatory factor analysis resulted in a 20-item HEAS-SP with 4 domains: medication adherence, diet adherence, rehabilitation exercise adherence, and healthy lifestyle adherence. The four-domain model demonstrated acceptable model fit indexes and the 20-item HEAS-SP demonstrated acceptable reliability and validity.

Conclusion

The 20-item HEAS-SP was shown to have acceptable reliability and validity for assessing health education adherence with respect to diet, medication, rehabilitation exercise and healthy lifestyle in stroke patients, making it a potential basis for developing targeted interventions for stroke patients.
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Metadata
Title
Development and validation of the Health Education Adherence Scale for Stroke Patients: a cross-sectional study
Authors
Weiwei Ding
Junya Chen
Jing Liu
Beibei Lin
Shihen Li
Fengzhen Li
Junyi Guo
Yun Li
Jufang Li
Publication date
01-12-2022
Publisher
BioMed Central
Keyword
Stroke
Published in
BMC Neurology / Issue 1/2022
Electronic ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-022-02597-2

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