Evidence map›Paper›PMID 41572263›Full record

ArticleBMC health services research2026

Quality of integrated care for patients with multimorbidity in China: a Servqual Model analysis.

Anning He, Zhimin Guo, Chanjiao Li, Siyu Zhou, Tao Zhang, Ziling Ni

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

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anning HeSchool of Public Administration, Hangzhou Normal University, Hangzhou, 311121, China.ORCID http://orcid.org/0009-0006-4889-9360
Zhimin GuoSchool of Public Administration, Hangzhou Normal University, Hangzhou, 311121, China.
Chanjiao LiSchool of Public Administration, Hangzhou Normal University, Hangzhou, 311121, China.
Siyu ZhouSchool of Public Administration, Hangzhou Normal University, Hangzhou, 311121, China.
Tao ZhangSchool of Public Administration, Hangzhou Normal University, Hangzhou, 311121, China.
Ziling NiSchool of Public Administration, Hangzhou Normal University, Hangzhou, 311121, China. ziling@hznu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlobal ageing is a serious concern, and the number of patients with multimorbidity is continuously increasing. Patients receive fragmented health services in a multispecialty and multidepartmental model without access to continuous and coordinated integrated care, resulting in unsatisfactory patient experiences. From the patient’s perspective, we measured the quality of integrated care and proposed strategies to improve the accessibility for patients with multimorbidity.

methodsThe survey combined the importance-performance analysis method and Servqual Model to measure the quality of integrated care for patients with multimorbidity and the mechanisms of action of related influencing factors.

resultsThe quality scores for each dimension were as follows: patient-centeredness (0.44) > synergy of intra-team services (-0.37) > continuity of services (-1.54) > synergy of inter-team services (-1.94) > familiarity with the patient’s medical history and treatment (-2.66). Positive/negative scores denote perceived quality above/below patients’ expectations. Notably, SERVQUAL scores were positive only for patient-centredness, while all dimensions assessing service integration and continuity of care were negative, indicating that patients do not perceive the care as truly integrated.

conclusionPatients perceive significant gaps in multimorbidity care continuity and coordination, despite strong patient-centeredness. We propose three evidence-based interventions to address priority gaps: shared medication summaries, standardized electronic discharge summaries, and pharmacist-supported medication reconciliation.

Indexed as

Delivery of Health Care, IntegratedMultimorbidityQuality of Health CareAdultAgedChinaContinuity of Patient CareFemaleHumansMaleMiddle AgedPatient-Centered CareSurveys and QuestionnairesIntegrated careMultimorbidityQualityServqual Model

Identifiers

PMID41572263
PMCPMC12911103

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.