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Preventing surgical disputes through early detection and intervention: a case control study in China
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312442/ https://www.ncbi.nlm.nih.gov/pubmed/25608604 http://dx.doi.org/10.1186/s12913-014-0671-5 |
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author | Xu, Ping Fan, Zhenlin Li, Ting Wang, Lijie Sun, Qingwen Du, Xia Lian, Bin Zhang, Lulu |
author_facet | Xu, Ping Fan, Zhenlin Li, Ting Wang, Lijie Sun, Qingwen Du, Xia Lian, Bin Zhang, Lulu |
author_sort | Xu, Ping |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-014-0671-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4312442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43124422015-02-04 Preventing surgical disputes through early detection and intervention: a case control study in China Xu, Ping Fan, Zhenlin Li, Ting Wang, Lijie Sun, Qingwen Du, Xia Lian, Bin Zhang, Lulu BMC Health Serv Res Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-014-0671-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-22 /pmc/articles/PMC4312442/ /pubmed/25608604 http://dx.doi.org/10.1186/s12913-014-0671-5 Text en © Xu et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Xu, Ping Fan, Zhenlin Li, Ting Wang, Lijie Sun, Qingwen Du, Xia Lian, Bin Zhang, Lulu Preventing surgical disputes through early detection and intervention: a case control study in China |
title | Preventing surgical disputes through early detection and intervention: a case control study in China |
title_full | Preventing surgical disputes through early detection and intervention: a case control study in China |
title_fullStr | Preventing surgical disputes through early detection and intervention: a case control study in China |
title_full_unstemmed | Preventing surgical disputes through early detection and intervention: a case control study in China |
title_short | Preventing surgical disputes through early detection and intervention: a case control study in China |
title_sort | preventing surgical disputes through early detection and intervention: a case control study in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4312442/ https://www.ncbi.nlm.nih.gov/pubmed/25608604 http://dx.doi.org/10.1186/s12913-014-0671-5 |
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