Impact of Continuous Pharmaceutical Care by a Collaborative Pharmacy Team on Reducing Drug-Related Problems in Coronary Heart Disease Patients: A Randomized Controlled Trial in an Integrated Healthcare System

Abstract Aims Building upon continuous pharmaceutical care (CPC) models led solely by clinical pharmacists, this study evaluated a collaborative pharmacy team model for reducing drug-related problems (DRPs) in coronary heart disease (CHD) patients during care transitions. Methods and results In a randomized controlled trial, 60 hospitalized CHD patients were allocated equally to a CPC group or a usual-care control group. The CPC group received structured pharmaceutical interventions in which clinical pharmacists led hospital care and community pharmacists led post-discharge care during key care transition periods: within 24 hours of admission (T0), 24 hour pre-discharge (T1), 24-72 hour post-discharge (T2), and at 1-month follow-up (T3). DRPs were identified using the Pharmaceutical Care Network Europe (PCNE) classification. Mean DRPs per patient were comparable at T0 (Control: 3.03 ± 1.16 vs. CPC: 3.10 ± 1.24; p = 0.827). Subsequently, the CPC group showed significantly fewer DRPs than the control group at T1 (0.17 ± 0.59 vs. 2.13 ± 1.04), T2 (0.03 ± 0.18 vs. 1.97 ± 1.03), and T3 (0.67 ± 0.76 vs. 2.63 ± 1.13) (all p < 0.001). Pharmacist interventions in the CPC group had a high DRP acceptance rate 91.4% (181/198) and a resolution rate 89.1% (106/119). At 1-month follow-up, the CPC group demonstrated superior outcomes compared to the control group: LDL-C goal attainment (63.3% vs. 30.0%, p = 0.010), medication adherence (90.0% vs. 66.7%, p = 0.028), patient satisfaction (Numeric Rating Scale: 9.27 ± 0.52 vs. 8.59 ± 0.52, p < 0.001), and willingness to pay for pharmaceutical services (86.7% vs. 50.0%, p = 0.002). Conclusion This collaborative pharmacy team model effectively reduced DRPs and improved lipid control and patient-reported outcomes in CHD patients, offering a scalable approach for integrated healthcare systems. Registered at the Chinese Clinical Trial Registry on July 1, 2024 (Registration number: ChiCTR2400086416; URL: https://www.chictr.org.cn/bin/project/edit?pid=235446).

Authors

Institutions

Publication Details

Journal
European Journal of Cardiovascular Nursing
Published
2026-06-18
DOI
https://doi.org/10.1093/eurjcn/zvag151
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Continuous Pharmaceutical Care by a Collaborative Pharmacy Team on Reducing Drug-Related Problems in Coronary Heart Disease Patients: A Randomized Controlled Trial in an Integrated Healthcare System

Lingyan Gao, Lihua Gao, Meijing Zhang, Dawei Zhu et al.
European Journal of Cardiovascular Nursing
Pharmaceutical Practices and Patient Outcomes
article

Impact of Continuous Pharmaceutical Care by a Collaborative Pharmacy Team on Reducing Drug-Related Problems in Coronary Heart Disease Patients: A Randomized Controlled Trial in an Integrated Healthcare System

Lingyan Gao, Lihua Gao, Meijing Zhang, Dawei Zhu, Dongxiao Wang, Lichaoyue Sun, Stephen Nicholas, Elizabeth Maitland, Na Guo, Lina Zhang, Zimeng Li, Hua Liu
article en

Abstract

Abstract Aims Building upon continuous pharmaceutical care (CPC) models led solely by clinical pharmacists, this study evaluated a collaborative pharmacy team model for reducing drug-related problems (DRPs) in coronary heart disease (CHD) patients during care transitions. Methods and results In a randomized controlled trial, 60 hospitalized CHD patients were allocated equally to a CPC group or a usual-care control group. The CPC group received structured pharmaceutical interventions in which clinical pharmacists led hospital care and community pharmacists led post-discharge care during key care transition periods: within 24 hours of admission (T0), 24 hour pre-discharge (T1), 24-72 hour post-discharge (T2), and at 1-month follow-up (T3). DRPs were identified using the Pharmaceutical Care Network Europe (PCNE) classification. Mean DRPs per patient were comparable at T0 (Control: 3.03 ± 1.16 vs. CPC: 3.10 ± 1.24; p = 0.827). Subsequently, the CPC group showed significantly fewer DRPs than the control group at T1 (0.17 ± 0.59 vs. 2.13 ± 1.04), T2 (0.03 ± 0.18 vs. 1.97 ± 1.03), and T3 (0.67 ± 0.76 vs. 2.63 ± 1.13) (all p < 0.001). Pharmacist interventions in the CPC group had a high DRP acceptance rate 91.4% (181/198) and a resolution rate 89.1% (106/119). At 1-month follow-up, the CPC group demonstrated superior outcomes compared to the control group: LDL-C goal attainment (63.3% vs. 30.0%, p = 0.010), medication adherence (90.0% vs. 66.7%, p = 0.028), patient satisfaction (Numeric Rating Scale: 9.27 ± 0.52 vs. 8.59 ± 0.52, p < 0.001), and willingness to pay for pharmaceutical services (86.7% vs. 50.0%, p = 0.002). Conclusion This collaborative pharmacy team model effectively reduced DRPs and improved lipid control and patient-reported outcomes in CHD patients, offering a scalable approach for integrated healthcare systems. Registered at the Chinese Clinical Trial Registry on July 1, 2024 (Registration number: ChiCTR2400086416; URL: https://www.chictr.org.cn/bin/project/edit?pid=235446).

European Journal of Cardiovascular Nursing
University of Liverpool (GB), Peking University (CN), Australian Institute of Business (AU), Aerospace Center Hospital (CN), Peking University International Hospital (CN), China Population and Development Research Center (CN), University of Newcastle Australia (AU)
Good health and well-being
Openalex Percentile: Top 8%
Pharmaceutical Practices and Patient Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.