A Chinese and Western medication adherence scale in patients with Chronic Kidney Disease

Autor: Min Zhang, Qinxiang Tan, Jiaowang Tan, Bing-qing Xia, Yifan Wu, Xusheng Liu, Li Luo, Fang Tang, Hui-Fen Chen, Lizhe Fu, Ding-Jun Zhang, Chen-Di Dong
Rok vydání: 2019
Předmět:
Zdroj: Patient Preference and Adherence. 13:1487-1495
ISSN: 1177-889X
DOI: 10.2147/ppa.s207693
Popis: Objective The self-reported scale is a widely used method to assess patients' medication adherence in clinical practice, but there is still a lack of medicine adherence measurement scale for patients with Chronic Kidney Disease (CKD). Therefore, this study aimed to develop a medication adherence measurement scale of traditional Chinese medicine and Western medicine, providing a tool for evaluating medicine adherence of CKD patients. Methods In the preliminary stage, we formed the prediction scale after three rounds Delphi method and it was filled by 20 patients, who were selected randomly. After pre-investigation and language adaption, we adjusted the prediction measurement scale which included 31 items based on Knowledge-Attitude-Belief Theory. Then, 222 CKD patients in Guangdong Hospital of traditional Chinese Medicine were investigated by this 31-item scale. We screened 31 items by Items analysis theory, including critical ratio, item correlation analysis, internal consistency analysis, principal component analysis and other methods. The left 26 items made up a formal scale. We collected and analyzed data of the 26-item scale and Chinese version of MGL scale, and took their scores correlation analysis as the criterion validity of the 26-item scale. At the same time, we evaluated content validity, Cronbach alpha coefficient and retest reliability of the 26-item scale. Results We developed a scale with 26 items and 5 dimensions finally. In the validation analysis, the scale had good construct validity and content validity. The Pearson relation index between respective scores of the scale and Chinese version of MGL scale was 0.426, P
Databáze: OpenAIRE
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