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Published in: BMC Health Services Research 1/2015

Open Access 01-12-2015 | Research article

Preventing surgical disputes through early detection and intervention: a case control study in China

Authors: Ping Xu, Zhenlin Fan, Ting Li, Lijie Wang, Qingwen Sun, Xia Du, Bin Lian, Lulu Zhang

Published in: BMC Health Services Research | Issue 1/2015

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Abstract

Background

Medical disputes have become a serious issue in China. A crisis cannot usually be predicted and managed through a cost–benefit strategy; therefore, researchers believe that prevention is better than containment and post-crisis resolution. This study aimed to identify solutions to prevent medical disputes in surgical cases through early warning and intervention of potential cases.

Methods

A case–control study was conducted to identify early detection indicators of medical disputes in the surgical treatment of liver cancer through Delphi consultation and logistic regression on the basis of which interventions were undertaken to prevent potential cases.

Results

The dispute detection model was composed of patient age (P = 0.08), frequency of hospitalization (P = 0.003), length of hospital stay (P < 0.001), terminal condition (P = 0.004), unplanned reoperation (P = 0.048), blood transfusion volume (P = 0.006), and arrearage (P < 0.001). Risk management interventions through quality improvement and enhanced communication in cases with an abnormal performance indicator proved effective in practice.

Conclusions

This study explored the use of an evidence-based medical risk management strategy for medical disputes that involved early detection and intervention and could potentially be adopted by hospitals to prevent medical disputes.
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Metadata
Title
Preventing surgical disputes through early detection and intervention: a case control study in China
Authors
Ping Xu
Zhenlin Fan
Ting Li
Lijie Wang
Qingwen Sun
Xia Du
Bin Lian
Lulu Zhang
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2015
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-014-0671-5

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