Evidence map›Paper›PMID 40432693›Full record

ArticleHealth science reports2025

A Cross-Sectional Study of Patients Satisfaction With the Pharmacy Services at the 108 Military Central Hospital: Determinants and Implications.

Do Xuan Thang, Hoang Anh Tuan, Cuc Thi Thu Nguyen, Diep Tran Phuong, Le Thu Thuy, Trung Nguyen Duc

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Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing 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

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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

6 authors.

Do Xuan ThangFaculty of Pharmaceutical Management and Economics Hanoi University of Pharmacy Hanoi Vietnam.ORCID https://orcid.org/0000-0001-6248-2568
Hoang Anh TuanFaculty of Pharmacy, The 108 Military Central Hospital Hanoi University of Pharmacy Hanoi Vietnam.
Cuc Thi Thu NguyenFaculty of Pharmaceutical Management and Economics Hanoi University of Pharmacy Hanoi Vietnam.ORCID https://orcid.org/0000-0002-6893-5430
Diep Tran PhuongFaculty of Pharmaceutical Management and Economics Hanoi University of Pharmacy Hanoi Vietnam.
Le Thu ThuyFaculty of Pharmaceutical Management and Economics Hanoi University of Pharmacy Hanoi Vietnam.ORCID https://orcid.org/0000-0002-3696-6785
Trung Nguyen DucFaculty of Pharmacy, The 108 Military Central Hospital Hanoi University of Pharmacy Hanoi Vietnam.ORCID https://orcid.org/0000-0002-9478-6061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Patient satisfaction is a critical metric for assessing the quality of pharmaceutical services in healthcare systems. This study aims to build a questionnaire with various items to comprehensively evaluate patient satisfaction with pharmacy services at the 108 Military Central Hospital and to identify key influential factors in their perception. Methods: The cross-sectional survey was conducted from August 2023 to October 2023. The face and content validity were assessed by experts. The questionnaire's internal consistency (Cronbach's alpha) and construct validity (exploratory factor analysis) were explored. Multivariate linear regression was used to seek determinants. Results: A total of 457 patients were included for synthesis. The final version of the questionnaire, which had 22 items grouped into four factors (attitude and professional capacity of pharmacy staff, accessibility and transparency, services performed, and infrastructure), showed high consistency and validity. General satisfaction was average (4.09 (SD = 0.628) out of a maximum score of five), with the factor having the lowest score of pharmacist consultants and drug prices despite being the leading national hospital. However, the two factors having the most substantial influence coefficient on satisfaction were the infrastructure (0.433), pharmacy attitude, and professional capacity (0.386). Conclusion: The findings based on the comprehensive questionnaire with 22 items grouped into four factors showed that there were available determinants that needed improvement. Enhancing the quality of the strongest impact aspects of patient satisfaction should be done comprehensively and synchronously. In the case of limited resources, prioritizing actions in phases of time could make them more actionable and beneficial.

Indexed as

determinantshealthcare qualitypatient satisfactionpharmacy servicesVietnam

Identifiers

PMID40432693
PMCPMC12106881

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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 OpenQuestion graph.