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

BMC Neurology

Weiwei Ding¹  Fengzhen Li¹  Jing Liu¹  Beibei Lin¹  Shihen Li¹  Jufang Li¹  Junya Chen¹  Yun Li²  Junyi Guo³ 

[1] School of Nursing, Wenzhou Medical University;The First Affiliated Hospital of Wenzhou Medical University;The Second Affiliated Hospital of Wenzhou Medical University;

关键词: Stroke;    Health education adherence;    Item reduction process;    Item analysis;    Exploratory factor analysis;    Confirmatory factor analysis;   

DOI  :  10.1186/s12883-022-02597-2

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown