Analysis of Processed Medical Disputes in One Hospital_West China Medical Journal

Authors：

 WANGDong-hong ¹ ,  ANHua-hua ² , LIANGTao ¹ , ZHUFa-cui ¹ , SUNXin ¹ , XIONGJian-ting ¹

1. Department of Medical Administration, Lanzhou General Hospital of Military Command, Lanzhou, Gansu 730050, P. R. China;
2. Outpatient Department, Lanzhou General Hospital of Military Command, Lanzhou, Gansu 730050, P. R. China;

Corresponding?author：

ANHua-hua, Email: ahh21@126.com

Keywords：

Medical disputes; Retrospectively analysis; Medical risk early warning

DOI：

10.7507/1002-0179.20150339

Video：

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Objective To provide some basic data for studies in the future on the prevention of medical disputes by exploring its patterns and reasons. Methods Fifty-five processed medical disputes cases accepted between 2012 and 2014 were retrospectively analyzed for their patterns and causes. Results The number of males in the medical disputes was higher than that of females (male: 60.0%, female: 40.0%), and patients at the age of 40-70 also led in the disputes (aged 40-50: 20.0%, aged 50-60: 18.2%; aged 60-70: 20.0%). There were more medical disputes in the department of cardiology (20.0%), orthopedics (16.4%), otolaryngology (12.7%), and gynecology (10.9%). Conclusion There are differences in gender and age of the patients as well as departments in terms of medical disputes. We should try to discover the regular patterns of these disputes. Besides those existing medical indexes, we should establish other warning systems through psychological and sociological status of medical staff and patients for reducing medical disputes, which can surely help the administration of medical quality intervention on medical disputes.

Citation： WANGDong-hong, ANHua-hua, LIANGTao, ZHUFa-cui, SUNXin, XIONGJian-ting. Analysis of Processed Medical Disputes in One Hospital. West China Medical Journal, 2015, 30(6): 1175-1178. doi: 10.7507/1002-0179.20150339 Copy

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1. Garcia-Retamero R, Galesic M. Using plausible group sizes to communicate information about medical risks[J]. Patient Educ Couns, 2011, 84(2):245-250.
2. Treyvaud K, Inder TE, Lee KJ, et al. Can the home environment promote resilience for children born very preterm in the context of social and medical risk?[J]. J Exp Child Psychol, 2012, 112(3):326-337.
3. Lee MJ, Konodi MA, Cizik AM, et al. Risk factors for medical complication after spine surgery:a multivariate analysis of 1,591 patients[J]. Spine J, 2012, 12(3):197-206.
4. Smith GB, Prytherch DR, Meredith P, et al. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death[J]. Resuscitation, 2013, 84(4):465-470.
5. Kellett J, Woodworth S, Wang F, et al. Changes and their prognostic implications in the abbreviated Vitalpac^TM early warning score (ViEWS) after admission to hospital of 18,853 acutely ill medical patients[J]. Resuscitation, 2013, 84(1):13-20.
6. 王名龍. MEWS系統在突發性腦出血急診救治中的應用[J]. 實用臨床醫藥雜志, 2012, 16(19):49-51.
7. 曹福媛. MEWS在急診陪檢轉運工作中的應用[J]. 護理研究, 2013, 27(3):277-278.
8. 孫楠, 黎愛軍, 連斌, 等. 醫療風險影響因素調查分析和對策研究[J]. 中國衛生質量管理, 2009, 16(4):5-7.
9. 樊震林, 王旭, 許蘋, 等. 我國醫療風險管理概況[J]. 解放軍醫院管理雜志, 2007, 14(8):600-601.
10. 肖紹文, 張成福, 林力, 等. 44起賠付的醫療糾紛特點分析與預防對策[J]. 基層醫學論壇, 2008, 12(1):57-59.
11. 孫紐云, 郜浩, 梁銘會, 等. 上海市某區2009年醫療糾紛原因分析和對策研究[J]. 中國衛生質量管理, 2011, 18(4):39-42.
12. 高曉飛, 周維燕, 孫忠河. 我國醫療糾紛原因的Meta分析[J]. 中國醫藥導報, 2012, 9(6):160-161, 163.
13. 肖嘯, 劉淵, 自加吉, 等. 心臟手術相關醫療糾紛的法醫學分析[J]. 華西醫學, 2013, 28(4):547-550.
14. 黃國軍. 基層醫院121例醫療糾紛分析及預防對策[J]. 中國農村衛生事業管理, 2012, 32(11):1139-1141.
15. 童云龍, 陳國夫, 羅小敏, 等. 某基層醫院2011年46例醫療糾紛統計分析[J]. 中醫藥管理雜志, 2012, 20(10):960-961.
16. 鄭志方. 蚌埠市某三甲醫院醫療糾紛的影響因素研究[D]. 合肥:安徽醫科大學, 2012.
17. 自加吉, 劉淵, 肖嘯, 等. 55例骨科醫療糾紛分析[J]. 華西醫學, 2012, 27(10):1454-1457.
18. 馬萬兵, 李宇飛, 洪昕. 醫療風險影響因素分析及防范措施[J]. 解放軍醫院管理雜志, 2010, 17(12):1151-1152.
19. 徐茂云, 劉世君.醫療糾紛醫生的人格特征分析[J]. 中華行為醫學科學, 2007, 16(10):941-942.

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Analysis of Processed Medical Disputes in One Hospital

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