Your browser doesn't support javascript.
loading
Association between medication complexity and follow-up care attendance: insights from a retrospective multicenter cohort study across 1,223 Chinese hospitals.
Ma, Xuedi; Wang, Yang; Chen, Yongwu; Lian, Yufei; Zhao, Xiaoyu; He, Xuan; Qiu, Yue; Han, Sheng; Liu, Lihong; Wang, Chen.
Affiliation
  • Ma X; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wang Y; State Key Laboratory of Cardiovascular Disease, Department of Medical Research and Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Chen Y; Department of Pharmacy, The First Affiliated Hospital of University of Science and Technology of China, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
  • Lian Y; Department of Pharmacy, Hebei General Hospital, Shijiazhuang, Hebei, China.
  • Zhao X; Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • He X; Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Qiu Y; Institute for Hospital Management, Tsinghua University, Beijing, China.
  • Han S; International Research Center for Medicinal Administration, School of Pharmaceutical Sciences, Peking University, Beijing, China.
  • Liu L; Department of Pharmacy, China-Japan Friendship Hospital, Beijing, China.
  • Wang C; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Front Pharmacol ; 15: 1448986, 2024.
Article in En | MEDLINE | ID: mdl-39135802
ABSTRACT

Background:

Patients with Chronic Obstructive Pulmonary Disease (COPD) frequently face substantial medication burdens. Follow-up care on medication management is critical in achieving disease control. This study aimed to analyze the complexity of COPD-specific medication and determine how it impacted patients' attendance on follow-up care.

Methods:

This multicenter study includes patients with COPD from 1,223 hospitals across 29 provinces in China from January 2021 to November 2022. The medication Regimen Complexity Index (MRCI) score was used to measure COPD-specific medication complexity. The association between medication complexity and follow-up care attendance was evaluated using the Cox Proportional Hazard Model.

Results:

Among 16,684 patients, only 2,306 (13.8%) returned for follow-up medication management. 20.3% of the patients had high complex medication regimen (MRCI score >15.0). The analysis revealed that compared to those with less complex regimens, patients with more complex medication regimens were significantly less likely to attend the follow-up medication care, with a Hazard Ratio (HR) of 0.82 (95% Confidence Interval [CI], 0.74-0.91). Specifically, patients with more complex dosage forms were 51% less likely to attend the follow-up care (95% CI, 0.43-0.57). This pattern was especially marked among male patients, patients younger than 65 years, and those without comorbid conditions.

Conclusion:

Higher medication complexity was associated with a decreased likelihood of attending follow-up care. To promote care continuity in chronic disease management, individuals with complex medication regimens should be prioritized for enhanced education. Furthermore, pharmacists collaborating with respiratory physicians to deprescribe and simplify dosage forms should be considered in the disease management process.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Pharmacol Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Pharmacol Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland