Evidence map›Paper›PMID 42006035›Full record

ArticleFrontiers in health services2026

Effect of PDCA cycle on critical value management in primary healthcare institutions: an interrupted time series study.

Xiaolong Cui, Chen Liang, Shijie Jia, Ying Bi, Qing Li, Xiaomin Zhao, Min Wang, Zhongquan Tang, Ting Ou, Xinyu Dai and 3 more

Abstract read
In one paragraph

Article in Frontiers in health services, 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

13 authors.

Xiaolong CuiDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Chen LiangDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Shijie JiaDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Ying BiDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Qing LiDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Xiaomin ZhaoDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Min WangDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Zhongquan TangDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Ting OuDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Xinyu DaiDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Jingqing YaoDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Yuntao LiDepartment of General Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.
Hong DingEmergency Department, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Critical value management represents a core component of medical safety, yet primary healthcare institutions continue to face challenges including non-standardized processes, incomplete documentation, and insufficient IT support. Although the PDCA cycle is widely adopted as a quality management tool, most evaluations of its effectiveness rely on simple pre-post comparisons, failing to distinguish true intervention effects from underlying secular trends. Methods: We conducted a prospective, multicenter study implementing a 24-month PDCA cycle intervention across 62 primary healthcare institutions in Jiangsu Province. Quality improvement initiatives included implementing a unified Critical Value Reporting Protocol, standardizing logbooks, and establishing monitoring mechanisms. We employed an interrupted time series model to analyze 24 months of data, assessing both immediate and sustained intervention effects. Results: Following PDCA implementation, the standardized critical value management rate increased from a pre-intervention average of 93.8% to 98.9%. Interrupted time series analysis revealed a significant immediate improvement (OR = 1.721, Conclusion: The PDCA cycle effectively enhances the standardized management of critical values in primary healthcare settings. Interrupted time series analysis provides a scientific foundation for evaluating its effectiveness. This model offers substantial operational practicality and scalability, contributing to continuous improvement in healthcare quality.

Indexed as

critical valueshealthcare quality improvementinterrupted time series analysispatient safetyPDCA cycleprimary healthcare institutions

Identifiers

PMID42006035
PMCPMC13083069

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.