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ORIGINAL RESEARCH article

Front. Med.
Sec. Family Medicine and Primary Care
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1439136
This article is part of the Research Topic Using Behavioral Theories to Improve Medication Use View all 9 articles

Preferences of Patients with Multiple Chronic Diseases for Medication in Rural Areas of an Eastern Province China: A Discrete Choice Experiment

Provisionally accepted
Xiaona Li Xiaona Li 1DongPing Ma DongPing Ma 1*Zhiqiang Feng Zhiqiang Feng 2Min GAO Min GAO 1Ping Dong Ping Dong 1*Yongli Shi Yongli Shi 1*Ziyuan Li Ziyuan Li 1*Runmin Li Runmin Li 1*Wenqiang Yin Wenqiang Yin 1*Zhongming Chen Zhongming Chen 1
  • 1 School of Management, Shandong Second Medical University, Weifang, China
  • 2 China National Health Development Research Center, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Background: Multiple Chronic Diseases (MCD) are the co-occurrence of two or more chronic conditions within an individual. Compared to patients with a single chronic disease, those with MCD face challenges related to polypharmacy, which increases the risk of adverse drug events, side effects, and drug-drug interactions. Understanding the specific medication preferences of patients with MCD is crucial to optimize treatment plans and enhance treatment safety. Objective: This study aims to evaluate the medication preferences among patients with multiple chronic diseases in rural areas of an eastern province of China. Methods: A discrete choice experiment (DCE) was used to measure patients' medication preferences. According to literature research, expert panel discussions, and in-depth patient interviews, we identified six attributes: monthly out-of-pocket cost, onset speed of action, adverse effects, whether it is covered by health insurance, origin of medications, and types of medications. The conditional logit models(CLM)and mixed logit models (MIXL) were used to evaluate the choice data. Willingness to pay (WTP) was used to reflect the monetary value that patients were willing to pay or receive reimbursement after changes in different attribute levels. Results: A total of 956 respondents were included in the analysis. Of which, 68.62% were female, with an average age of 68 years, and 65.89% had a Body Mass Index (BMI) greater than or equal to 24. Statistical significance was observed for all attributes (p<0.001). The preferred medication for patients encompassed low monthly out-of-pocket costs, rapid onset of action, rare adverse effects, and a preference for Western medicine, health insurance-covered medication and domestic medication. The onset speed of action was a primary consideration for patients, who demonstrated a willingness to pay an additional CNY151.37 per month for a medication with a rapid onset of action.Rural patients with multiple chronic diseases preferred medications with rapid onset, rare adverse, Western medications, domestic medication, and health insurance-covered medication. Medical staff can effectively combine the Health Belief Model (HBM) to help patients with multiple chronic diseases improve their confidence and understanding of medication selection, to improve their health management.

    Keywords: Multiple chronic diseases, patient preferences, rural areas, Discrete choice experiments, Medication selection, health belief model

    Received: 01 Jun 2024; Accepted: 26 Sep 2024.

    Copyright: © 2024 Li, Ma, Feng, GAO, Dong, Shi, Li, Li, Yin and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    DongPing Ma, School of Management, Shandong Second Medical University, Weifang, China
    Ping Dong, School of Management, Shandong Second Medical University, Weifang, China
    Yongli Shi, School of Management, Shandong Second Medical University, Weifang, China
    Ziyuan Li, School of Management, Shandong Second Medical University, Weifang, China
    Runmin Li, School of Management, Shandong Second Medical University, Weifang, China
    Wenqiang Yin, School of Management, Shandong Second Medical University, Weifang, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.