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- Title
Assessment of Compliance Status and Its Determinants Among Hypertensive Patients From County Areas in Zhejiang, China: A Cross‐Sectional Study.
- Authors
Zhou, Chi; Chen, Jingchun; Li, Chen; Shen, Wenli; Li, Xu; Shi, Yinan; Yang, Shuangyu; Weng, Yuanyuan; Wu, Dan; Huang, Jingyu; Zhao, Falin
- Abstract
Objectives: Compliance is crucial for patients to control and manage their high blood pressure. This study assesses the compliance levels of hypertensive patients in China and explores the factors influencing compliance. Design: A descriptive, cross‐sectional design was conducted. Sample: A total of 371 hypertensive patients were recruited from six County hospitals and 12 township health centers in Zhejiang Province, China. Measure: Patient compliance was measured using the Hypertensive Patient Scale (CHPS). Independent‐sample T‐test or variance analysis was applied to analyze CHPS scores by sociodemographic factors, and linear regression was used to explore the significant correlates of the total CHPS score. Results: The total score of CHPS was 50.18 ± 6.12. Among the seven domains, drug treatment and lifestyle had the highest and lowest average scores, 3.59 ± 0.87 and 2.74 ± 0.73, respectively. The total score of CHPS positively associated with age (β = 0.075, p = 0.028), > 7 years of hypertension (β = 1.896, p = 0.022; Ref: < 3 years), and negatively associated with males (β = −2.224, p = 0.001; Ref: female) and rural area (β = −2.008, p = 0.007; Ref: urban area). Conclusion: These findings highlight the importance of related measurements of the local "health‐oriented" healthcare system. Primary health professionals should strengthen their health behavior intervention capacity and improve hypertension management among their patients.
- Subjects
CHINA; PATIENT compliance; CROSS-sectional method; LIFESTYLES; SOCIAL determinants of health; HYPERTENSION; SOCIOECONOMIC factors; PRIMARY health care; SEX distribution; DRUG therapy; AGE distribution; DESCRIPTIVE statistics; RURAL population; HEALTH behavior; RESEARCH methodology; DRUGS; REGRESSION analysis
- Publication
Public Health Nursing, 2025, Vol 42, Issue 1, p104
- ISSN
0737-1209
- Publication type
Academic Journal
- DOI
10.1111/phn.13466