Evidence map›Paper›PMID 41878092›Full record

Observational studyFrontiers in public health2026

Exploring the effectiveness of proactive service models in preventing medical disputes and petitions: a pilot investigation using a before-and-after design at a single center in Hangzhou, China.

Yihang Yang, Zhezhong Zhang, Shiliang Chen, Xiaohong Liu, Lanzhi Zheng, Shuwei Huang, Yang Lu

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yihang YangThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
Zhezhong ZhangThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
Shiliang ChenThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
Xiaohong LiuThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
Lanzhi ZhengThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
Shuwei HuangThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.
Yang LuThe First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthcare conflicts are a global public health priority, and medical petitions are a primary resolution pathway in China. Zhejiang Provincial Hospital of Chinese Medicine (ZPHCM) found that a reactive administrative approach failed to curb clinical disagreements and petition frequency, requiring optimized management strategies. Methods: A single-institution before-and-after observational pilot study (no concurrent control) was conducted across ZPHCM's Qiantang and Hubin campuses. The Proactive Service Model (PSM) was initiated in January 2025; outcome metrics were compared between an 8-month pre-intervention period and a 9-month post-intervention period. Analyses were performed using IBM SPSS Statistics 27.0 and R v.4.4.3 (descriptive statistics, Cohen's d, Mann-Whitney U tests). Results: Post-PSM deployment, both campuses showed significant improvements: Qiantang Campus had communication resolution rate (CRR) increased from 35.95% ± 13.02 to 52.97% ± 8.22 (+17.02 percentage points) and petition incidence rate (IP) decreased from 34.88% ± 6.89 to 27.67% ± 5.47 (-7.20 points); Hubin Campus had CRR raised from 46.02% ± 8.55 to 57.87% ± 5.75 (+11.85 points) and IP reduced from 33.48% ± 7.73 to 25.85% ± 5.29 (-7.63 points). Effect sizes were substantial (CRR: Qiantang d = 1.59, Hubin d = 1.65; IP: both d = -1.17) with 95% CIs excluding zero, and CRR changes were statistically significant (U = 9, Conclusion: As a pilot study, this work lacks definitive causal evidence, but it demonstrates a meaningful association between PSM implementation and improved communicative dispute resolution alongside reduced petition incidence at ZPHCM, supported by notable effect sizes.

Indexed as

Dissent and DisputesNegotiatingChinaHumansPilot Projectscommunication resolution rateincidence of petitionsmedical disputesmedical petitionsproactive service model

Identifiers

PMID41878092
PMCPMC13006697

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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.