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Purpose <p>To investigate the current status of medication adherence among peritoneal dialysis (PD) patients in a primary hospital and to explore the influencing factors of medication adherence among PD patients.</p> Methods <p>The author used the Chinese version of the Morisky Medication Compliance Scale to evaluate the medication compliance of 226 PD patients in a single centre. Univariate analysis and logistic regression were used to analyse the factors influencing medication compliance in patients.</p> Results <p>Among 226 PD patients, 196 had moderate/high drug adherence (86.73%), and 36 had low medication adherence (15.93%). Univariate analysis showed that there was a statistically significant difference between groups in age (χ<sup>2</sup> = 3.990, <i>P</i> = 0.020), PD vintage (t = 2.068, <i>P</i> = 0.040), presence of anaemia (t = -2.750, <i>P</i> = 0.006), PD operator (χ<sup>2</sup> = 3.110, <i>P</i> = 0.047), SDS scores (t = 2.818, <i>P</i> = 0.005). Binary logistic regression analysis demonstrated that age (OR = 1.037, 95% CI: 1.005–1.070; <i>P</i> = 0.037), SDS scores (OR = 0.940, 95% CI: 0.900–0.982; <i>P</i> = 0.005) are factors affecting patient drug compliance.</p> Conclusions <p>In summary, this study found that age and depressive symptoms were the main factors affecting drug compliance in PD patients, providing a basis for specifying specific measures to improve patient medication adherence. With the help of information technology and a novel exercise method, the medical staff could carry out various forms of health education and activity to improve the medication compliance of PD patients.</p>

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A survey on medication adherence and influencing factors among 226 peritoneal dialysis patients in a primary hospital in China

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  • 发表日期：

    2025年1月2日

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  • Chen Ling,
  • Yuxia Ouyang,
  • Jiaqi Cao,
  • Jingwen Bi,
  • Yunfang Zhang

摘要

Purpose

To investigate the current status of medication adherence among peritoneal dialysis (PD) patients in a primary hospital and to explore the influencing factors of medication adherence among PD patients.

Methods

The author used the Chinese version of the Morisky Medication Compliance Scale to evaluate the medication compliance of 226 PD patients in a single centre. Univariate analysis and logistic regression were used to analyse the factors influencing medication compliance in patients.

Results

Among 226 PD patients, 196 had moderate/high drug adherence (86.73%), and 36 had low medication adherence (15.93%). Univariate analysis showed that there was a statistically significant difference between groups in age (χ2 = 3.990, P = 0.020), PD vintage (t = 2.068, P = 0.040), presence of anaemia (t = -2.750, P = 0.006), PD operator (χ2 = 3.110, P = 0.047), SDS scores (t = 2.818, P = 0.005). Binary logistic regression analysis demonstrated that age (OR = 1.037, 95% CI: 1.005–1.070; P = 0.037), SDS scores (OR = 0.940, 95% CI: 0.900–0.982; P = 0.005) are factors affecting patient drug compliance.

Conclusions

In summary, this study found that age and depressive symptoms were the main factors affecting drug compliance in PD patients, providing a basis for specifying specific measures to improve patient medication adherence. With the help of information technology and a novel exercise method, the medical staff could carry out various forms of health education and activity to improve the medication compliance of PD patients.