Evidence map›Paper›PMID 42318392›Full record

ArticleFrontiers in medicine2026

Construction of a safe and controllable quality management model for "Internet + Nursing Services" based on HFMEA strategy.

Lijun She, Lingling Song, Jiajia Tang, Xuemei Wu, Haipin Liang, Xiaohui Qin

Abstract read
In one paragraph

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

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

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.

Lijun SheDepartment of Nursing, The Third Affiliated Hospital, School of Medicine, Foshan University, Foshan, Guangdong, China.
Lingling SongDepartment of Quality Control, The Third Affiliated Hospital, School of Medicine, Foshan University, Foshan, Guangdong, China.
Jiajia TangMaster of Science in Nursing Class of 2025,Department of Nursing, School of Medicine,Foshan University, Foshan, Guangdong, China.
Xuemei WuIntensive Care Unit, The Third Affiliated Hospital, School of Medicine, Foshan University, Foshan, Guangdong, China.
Haipin LiangDepartment of Urology, The Third Affiliated Hospital, School of Medicine, Foshan University, Foshan, Guangdong, China.
Xiaohui QinDepartment of Nursing, The Third Affiliated Hospital, School of Medicine, Foshan University, Foshan, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to develop and evaluate a healthcare failure mode and effects analysis (HFMEA)-based quality management model for "Internet + Nursing Services" (INS) to enhance service safety, standardization, and stakeholder satisfaction, while assessing its economic impact. Methods: A retrospective controlled study was conducted. Patients receiving INS from January to December 2022 ( Results: The HFMEA-based model significantly improved safety and quality metrics. The adverse event incidence was reduced by 76.8% (1.50% in the experimental group vs. 6.47% in the control group, Conclusion: The HFMEA-based model was associated with a 76.8% reduction in adverse events, an 80% decrease in RPN, and improved satisfaction. However, causal conclusions are limited by the retrospective, single-center design. Preliminary cost savings were observed, but formal economic evaluation is needed. Replication in diverse settings and future multicenter studies are required.

Indexed as

cost-effectivenesshealthcare failure mode and effects analysis (HFMEA)home careInternet + Nursing Servicesnurse satisfactionpatient safetyquality management

Identifiers

PMID42318392
PMCPMC13272465

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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.