The structural factors of self-regulating medication adherence among the elderly at Elderly Schools in Chonburi Province

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Orarat Wangpradit
Chalalai Chokdeesrijun
Kamolnut Muangyim
Decha Wannapahul


Background: Self-regulating medication adherence is important, especially among the elderly suffering from non-communicable diseases (NCDs). In the COVID-19 pandemic situation, health services are limited. The study of structural factors of self-regulating medication adherence will, therefore, reveal overall relating factors of self-regulating medication adherence in order to plan for effective education in medication use for the elderly.

Objective: To investigate the concordance of the structural factors of self-regulating medication adherence among the elderly at elderly schools in Chonburi province.

Methods: The sample was composed of 147 elderly people in elderly schools in Ban-Suan Municipality who had been diagnosed with at least one NCD and had been receiving oral medication for at least one year. Data was collected using a questionnaire. The statistics used for data analysis were mean, percentage, and goodness-of-fit index. 

Results: The goodness of fit index consisting of chi-square value  gif.latex?\chi2 was 70.53 at p = .145 and the relative chi-square value (gif.latex?\chi2/df) was 1.195. The comparative fit index (CFI), goodness-of-fit index (GFI), and root mean square error of approximation (RMSEA) were 0.958, 0.936 and 0.036, respectively.

Conclusion: Factors affecting self-regulating medication adherence among the elderly  were knowledge and comprehension of NCDs and consequences of medication adherence; knowledge of medication check and proper storage; and attitude towards self-medication for additional medications, herbs and food supplements.


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Wangpradit, O., Chokdeesrijun ช. ., Muangyim ก. ., & Wannapahul เ. . (2021). The structural factors of self-regulating medication adherence among the elderly at Elderly Schools in Chonburi Province. JOURNAL OF HEALTH SCIENCE RESEARCH, 15(3), 37–47. Retrieved from
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