Evidence mapPaperPMID 40830426Full record

ArticleBMC primary care2025

Patient-centered medical home and the quality of primary care: survey study with patients and administrators of community healthcare centers in Shanghai, China.

Hua Jin, Huining Zhou, Leiyu Shi, Hanzhi Zhang, Aizhen Guo, Sen Yang, Shuoyuan Tan, Yuqing Shao, Dehua Yu, Jianwei Shi

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
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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

10 authors.

Hua Jin *Department of General Practice, Research Center for General Practice, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, 200090, China.
Huining Zhou *Department of Medical Records Management, Shanghaiai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Leiyu ShiDepartment of Health Policy and Management, Primary Care Policy Center, Johns Hopkins University, Baltimore, MD, USA.
Hanzhi ZhangDepartment of General Practice, Research Center for General Practice, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, 200090, China.
Aizhen GuoDepartment of General Practice, Research Center for General Practice, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, 200090, China.
Sen YangDepartment of General Practice, Research Center for General Practice, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, 200090, China.
Shuoyuan TanSchool of Public Health, Shanghai Jiaotong University School of Medicine, 227 South Chongqing RD, Shanghai, 200025, China.
Yuqing ShaoSchool of Public Health, Shanghai Jiaotong University School of Medicine, 227 South Chongqing RD, Shanghai, 200025, China.
Dehua YuDepartment of General Practice, Research Center for General Practice, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, 200090, China. shgprc@yeah.net.
Jianwei ShiSchool of Public Health, Shanghai Jiaotong University School of Medicine, 227 South Chongqing RD, Shanghai, 200025, China.

Funding

Shanghai Leading Talents Program YDH-20170627Shanghai Yangpu Central Hospital Subject Leader Climbing Programme Ye2202103
6 · The paper itself

Abstract

backgroundDespite the widely acknowledged importance of primary care, there remains a significant gap in its comprehensive evaluation in China, particularly from the dual perspectives of institutional performance and patient experience.

objectiveWe utilized two internationally recognized tools, the Primary Care Assessment Tool (PCAT) for measuring primary care quality from the perspective of patients and The Patient-Centred Medical Home (PCMH, emphasizing providing comprehensive, accessible, and high-quality healthcare services, addressing the evolving needs of patients while enhancing the efficiency and effectiveness of primary care systems) for assessing an organization's primary care achievement, to evaluate whether institutional achievement in primary care correlates with better patient experiences in community healthcare centers (CHCs) in Shanghai, China.

methodsNine CHCs were randomly selected using a multi-stage sampling method, followed by a random selection of patients. The PCMH tool was used for CHCs, while the PCAT was administered to patients. Multivariate logistic regressions were used to analyze the association between the PCMH status of the CHCs and the quality of primary care experienced by patients.

findingsA total of 1,782 patients and 9 CHC administrators completed the PCAT and PCMH tools, respectively. Generally, higher PCAT scores were associated with higher PCMH scores. Compared with patients from Level 1 PCMH CHCs, those from Level 2 and Level 3 CHCs reported significantly better experiences in ongoing care (Level 2: OR = 4.57, P < 0.001; Level 3: OR = 4.54, P < 0.001), family-centeredness (Level 2: OR = 3.39, P < 0.001), and cultural competence (Level 2: OR = 4.27, P < 0.001; Level 3: OR = 2.83, P = 0.03).

conclusionThe study validated PCMH as a robust framework for assessing primary care performance. Furthermore, it identified specific areas where CHCs can enhance the patient experience, particularly in the domains of Coordination (Information Systems), Care Coordination, and Care Transitions. These findings underscored the need for targeted interventions to strengthen these aspects of primary care delivery, ultimately improving patient outcomes and satisfaction.

Indexed as

Community Health CentersPatient-Centered CarePatient SatisfactionPrimary Health CareQuality of Health CareAdolescentAdultAgedChinaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultCommunity healthcare centersPCATPCMHPrimary careQuality evaluation

Identifiers

PMID40830426
PMCPMC12362950

What Socratic holds

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Registered trials

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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.