|
|
Research on the status quo of medical record quality and the influencing factors of unqualified rate in a hospital |
Yin Yuhua1, Wu Huatun2, Zhu Jianqian2 |
1 Chengbei Quality Management Department, Affilated Hangzhou First People′s Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China;
2 Hubin Quality Management Department, Affilated Hangzhou First People′s Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China |
|
|
Abstract Objective To study the current status of hospital medical record quality and the influencing factors of unqualified rate, explore measures to improve the medical record quality, and provide a theoretical basis for the hospital to improve the medical record quality. Methods A stratified random sampling method was used to sample 997 medical records from January to December 2020 in a tertiary general hospital in Hangzhou. SPSS 21.0 was used to analyze the data, and chisquare test and logistics regression analysis were used to analyze the influencing factors of the unqualified rate of medical records. Results The unqualified rate of medical records in the hospital was 11.93%, and the top three defective rates of medical records were the course records (33.00%), the admission records (31.62%), and the first page of the medical records (23.20%). The risk of unqualified medical records in the surgery department (OR=32.475, P<0.001) and in the department of obstetrics and gynecology (OR=17.428, P<0.001) was higher than that in the internal medicine department, and the risk of unqualified medical records in other departments was lower than that in the internal medicine department (OR=0.028, P<0.001 ). Patients hospitalized for more than eight days had a higher risk of unqualified medical records (OR=24.267, P<0.001), the risk of unqualified medical records with surgery/operations was higher than that without surgery/operations (OR=0.176, P<0.001), the risk of unqualified medical records for rescue and difficult/death cases was higher than that for without rescue or difficult/death cases (OR=0.011, P<0.001), the risk of unqualified medical records for nonsingle disease management was higher than that for single disease management (OR=11.128, P<0.001), and the risk of unqualified medical records of non-clinical path management was higher than that of clinical path management medical records (OR=13.840, P<0.001). Conclusion The qualification rate of medical records needs to be further improved. The quality control of key departments and key medical records should be strengthened in terms of the quality control of medical records, to further promote the management of single disease and clinical pathways, and improve the quality of medical record writing.
|
Received: 10 May 2021
|
|
|
|
[1]冯遵权,于浩.住院病案质量分析与对策研究[J].中国病案,2017,18(8):8-10.
[2]刘杰,李小玲,张雷.某军队医院病历质量管理体系的构建[J].中国病案,2015,16(5):14-16.
[3]何涛.病历质量检查中问题病历的分析[J/OL].临床医药文献电子杂志,2020,7(16):179. https://d.wanfangdata.com.cn/periodical/lcyydzzz202016154.
[4]何江江,钟姮,万和平,等.上海市社区卫生服务综合评价结果分析[J].中华医院管理杂志,2015(8):633-637.
[5]刘凤银.病案首页质量控制对诊断填报质量的影响[J].中国病案,2018,19(12):26-29.
[6]蔡筱英.医疗纠纷与病案质量管理[J].中国病案,2008,9(4):13-15.
[7]于驹,尤瑞玉.计算机环境的住院病案首页信息研究:病人基本信息[J].中国病案,2004,5(1):5-8.
[8]牟善红,刘同中,夏拥军.某三甲医院2015年病案终末质控结果分析[J].继续医学教育,2016,30(8):83-84.
[9]税桂英.医院评审对病案管理的影响效果评价[J].中国病案,2018,19(1):9-12.
[10]黄晓青,曾勇天,欧阳菊香,等.临床路径与病案信息管理相互作用探讨[J].临床合理用药杂志,2018,11(10):168-169. |
[1] |
Zhang Haidong, Li Yumei, Wu Junxia. Influencing factors of super long hospitalization days in an infectious disease hospital[J]. journal1, 2021, 28(5): 429-432. |
[2] |
Gu Yuting, Weng Jun, Peng Zhigang. Influencing factors of delayed filing of medical records in the internal medicine department[J]. journal1, 2021, 28(5): 447-451. |
[3] |
Xue Junjun, Wang Heng, Li Niannian. Path analysis on the factors influencing hospitalization expenses of the patients undergoing hemorrhoidectomy[J]. journal1, 2021, 28(5): 416-419. |
[4] |
Zhu Jingjing, Yin Ruihua, Ge Chenyang, Hu Bin, Wang Xiaohong,Shan Qian,He Guobin, Zheng Hongjuan, Ling Lixian, Fu Jianfei. Methodological exploration of constructing colon cancer specific disease cohort based on hospital informatization[J]. journal1, 2021, 28(5): 467-471. |
[5] |
Liu Sha, Liu Junfeng. Defect analysis on the first page of ambiguous medical records in a hospital in Guangzhou[J]. journal1, 2021, 28(5): 452-455. |
[6] |
Guo Chuhao,Long Yingchun,Qiu Shuang,Deng Li. Analysis of the report of 2 586 medical safety (adverse) events in a tertiary children′s hospital[J]. journal1, 2021, 28(4): 294-297. |
|
|
|
|