Evidence map›Paper›PMID 41567765›Full record

ArticleFrontiers in public health2025

Analysis of case management service quality for PCI patients based on the SERVQUAL model: a single-center prospective study.

Songchao Wang, Qin Lu, Li Ding, Weihong Ni, Yeping Zheng

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Songchao Wang *Nursing Department, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Qin Lu *Department of Cardiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Li DingDepartment of Cardiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Weihong NiNursing Department, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Yeping ZhengNursing Department, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aims to analyze the current status and shortcomings of case management services from the patient's perspective, investigating percutaneous coronary intervention (PCI) patients' perceptions and expectations of the quality of case management services. The objective is to provide decision-making references for efficiently improving the quality of case management services. Methods: Using the Service quality (SERVQUAL) scale as a survey tool, a questionnaire was administered to assess PCI patients' expectations and actual perceptions of case management service quality, identifying gaps and categorizing findings. Additionally, Importance-Performance Analysis (IPA) was utilized to evaluate PCI patients' quality assessment of case management services. Results: A total of 230 PCI patients from August 2024 to July 2025 were surveyed, with 221 valid questionnaires collected. The average expectation score was 3.878, while the average perception score was 3.616, resulting in an average gap of -0.267, indicating an overall moderate service quality. Each dimension's expectation-perception score gap was negative, revealing that patients' perceived quality generally fell short of their expectations. Conclusion: The overall quality evaluation of case management services by PCI patients does not meet their satisfaction level, highlighting the need for continuous quality improvement.

Indexed as

Case ManagementPatient SatisfactionPercutaneous Coronary InterventionQuality of Health CareAgedFemaleHumansMaleMiddle AgedProspective StudiesSurveys and Questionnairesimportance-performance analysispercutaneous coronary interventionproblem focussatisfactionSERVQUAL model

Identifiers

PMID41567765
PMCPMC12816165

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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.