Evidence map›Paper›PMID 41877143›Full record

ArticleBMC health services research2026

Dynamic evaluation and continuous improvement model of pharmaceutical administration based on DPSIR-TOPSIS.

Anlin Wang, Hui Yang, Zhuoling An

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anlin WangDepartment of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Hui YangDepartment of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongti South Road, Chaoyang District, Beijing, 100020, China.
Zhuoling AnDepartment of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongti South Road, Chaoyang District, Beijing, 100020, China. anzhuoling@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the dynamic development of pharmaceutical administration at Beijing Chaoyang Hospital from 2019 to 2024 and to identify key influencing and optimization factors using a data-driven analytical framework.

methodsAn integrated “entropy weight–TOPSIS”model was constructed based on the DPSIR (Driving force–Pressure–State–Impact–Responses) framework. The model quantified trends in pharmaceutical administration performance using multi-dimensional indicators, including policy, resource allocation, drug utilization, and pharmacist capacity.

resultsThe composite pharmaceutical administration index showed an overall upward trend from 2019 to 2024, with a temporary decline during the early COVID-19 period. Subsequent recovery was associated with improved drug use policies and management coordination. From 2022 onward, healthcare reforms, the “One Hospital, Three Campuses” operational model, and the adoption of smart pharmacy technologies were linked to reduced operational pressures, enhanced system responsiveness, and improved cost control and medication safety.

conclusionPharmaceutical administration at Beijing Chaoyang Hospital demonstrated continuous progress. Future optimization should emphasize comprehensive antibacterial drug management, a multidimensional incentive mechanism to enhance the use of essential medicines, and the advancement of smart pharmacy systems to enhance pharmacists’ professional value and sustain high-quality pharmaceutical administration development.

Indexed as

Pharmacy AdministrationPharmacy Service, HospitalCOVID-19HumansDPSIR-TOPSIS modelMedical cost controlPharmaceutical administrationPharmaceutical service modelRational drug use management

Identifiers

PMID41877143
PMCPMC13134124

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.