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Original Research

Factors affecting medication adherence in community-managed patients with hypertension based on the principal component analysis: evidence from Xinjiang, China

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Pages 803-812 | Published online: 11 May 2018

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (4)

Rajina Shakya, Sunil Shrestha, Roshani Gautam, Lalita Rai, Sabindra Maharjan, Gita Kumari Satyal, Bhuvan KC & Mana Kumari Rai. (2020) Perceived Illness and Treatment Adherence to Hypertension Among Patients Attending a Tertiary Hospital in Kathmandu, Nepal. Patient Preference and Adherence 14, pages 2287-2300.
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Bin Cui, Zhaohui Dong, Mengmeng Zhao, Shanshan Li, Hua Xiao, Zhitao Liu & Xiaowei Yan. (2020) Analysis of Adherence to Antihypertensive Drugs in Chinese Patients with Hypertension: A Retrospective Analysis Using the China Health Insurance Association Database . Patient Preference and Adherence 14, pages 1195-1204.
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Xiaochen Ma, Yuji Zhang, Mei Zhang, Xiaoju Li, Hongpo Yin, Ke Li & Mingxia Jing. (2019) Decomposing the effect of drug benefit program on antihypertensive medication adherence among the elderly in urban China. Patient Preference and Adherence 13, pages 1111-1123.
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Weiwei Ding, Tong Li, Qiying Su, Maohua Yuan & Aihua Lin. (2018) Integrating factors associated with hypertensive patients’ self-management using structural equation modeling: a cross-sectional study in Guangdong, China. Patient Preference and Adherence 12, pages 2169-2178.
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Articles from other publishers (7)

Wellington Kanyongo & Absalom E. Ezugwu. (2023) Feature selection and importance of predictors of non-communicable diseases medication adherence from machine learning research perspectives. Informatics in Medicine Unlocked 38, pages 101232.
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Murshida Rahman, Gaby Judah, Dan Murphy & Sara F. Garfield. (2022) Which domains of the theoretical domains framework should be targeted in interventions to increase adherence to antihypertensives? A systematic review. Journal of Hypertension 40:5, pages 853-859.
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Adam Piasecki, Agnieszka Pilarska & Radosław Golba. (2021) The potential of data exploration methods in identifying the relationship between short-period (daily) water consumption and meteorological factors. Bulletin of Geography. Socio-economic Series 54:54, pages 113-122.
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Anping Cai, Yicheng Zhu, Stephen A. Clarkson & Yingqing Feng. (2021) The Use of Machine Learning for the Care of Hypertension and Heart Failure. JACC: Asia 1:2, pages 162-172.
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Sajid Mahmood, Zahraa Jalal, Muhammad Abdul Hadi, Tahir Mehmood Khan, M. Sayeed Haque & Kifayat Ullah Shah. (2021) Prevalence of non-adherence to antihypertensive medication in Asia: a systematic review and meta-analysis. International Journal of Clinical Pharmacy 43:3, pages 486-501.
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Wenjuan Gao, Hong Liu, Caiying Ge, Xinying Liu, Hongyan Jia, Hao Wu & Xiaoxia Peng. (2020) A Clinical Prediction Model of Medication Adherence in Hypertensive Patients in a Chinese Community Hospital in Beijing. American Journal of Hypertension 33:11, pages 1038-1046.
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Hongxun Song, Donglan Zhang, Zhuo Chen, Ruoxi Wang, Shangfeng Tang, Ghose Bishwajit, Shanquan Chen, Da Feng, Tailai Wu, Yang Wang, Yanwei Su & Zhanchun Feng. (2019) Utilisation of national community-based blood pressure monitoring service among adult Chinese and its association with hypertension treatment and blood pressure control—a mediation analysis. BMC Geriatrics 19:1.
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