湖北省三级综合医院超长住院患者分布特征及影响因素

Distribution Characteristics and Influencing Factors of Extra Long-Term Inpatients in Tertiary Comprehensive Hospitals in Hubei Province

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归属学者:

贺知菲

作者:

贺知菲 ;程兆辉

摘要:

目的:分析超长住院患者分布特征及影响因素,为缩短平均住院日提供参考。方法:收集2016-2017年湖北省5家三级综合医院出院患者病历首页数据,采用Logistic回归模型对超长住院的影响因素进行分析。结果:超长住院患者住院天数集中在30-39天,占总超长住院患者数量的51.6%;随着住院日延长,患者占比和日均费用不断降低;城镇职工医保、康复医学科以及损伤和中毒类疾病的患者数量占比最高。模型结果显示,性别、年龄、医保类别、入院病情、合并症、院内感染和院内转科对超长住院的产生均有显著性影响(均P<0.05)。结论:建议加强医疗质量管理和重点科室病种管理,关注老年住院患者,建立预警报告机制,推进付费方式改革,以合理减少超长住院情况的发生。

语种:

中文

出版日期:

2019-04-10

学科:

公共卫生与预防医学

收录:

中国科技核心期刊

提交日期

2019-05-22

引用参考

贺知菲;程兆辉. 湖北省三级综合医院超长住院患者分布特征及影响因素[J]. 医学与社会,2019(04):66-70.

全文附件授权许可

知识共享许可协议-署名

  • dc.title
  • 湖北省三级综合医院超长住院患者分布特征及影响因素
  • dc.contributor.author
  • 贺知菲;程兆辉
  • dc.contributor.author
  • He Zhifei;School of Politics and Public Administration, Southwest University of Political Science & Law
  • dc.contributor.affiliation
  • 西南政法大学政治与公共管理学院;重庆市卫生信息中心;
  • dc.contributor.corresponding
  • 程兆辉;
  • dc.publisher
  • 医学与社会
  • dc.publisher
  • Medicine and Society
  • dc.identifier.year
  • 2019
  • dc.identifier.issue
  • 04
  • dc.identifier.volume
  • v.32;No.246
  • dc.identifier.page
  • 66-70
  • dc.date.issued
  • 2019-04-10
  • dc.language.iso
  • 中文
  • dc.subject
  • 三级医院;住院天数;超长住院;湖北
  • dc.subject
  • Tertiary Hospital;Length of Stay;Extra Long-Term Hospitalization;Hubei
  • dc.description.abstract
  • 目的:分析超长住院患者分布特征及影响因素,为缩短平均住院日提供参考。方法:收集2016-2017年湖北省5家三级综合医院出院患者病历首页数据,采用Logistic回归模型对超长住院的影响因素进行分析。结果:超长住院患者住院天数集中在30-39天,占总超长住院患者数量的51.6%;随着住院日延长,患者占比和日均费用不断降低;城镇职工医保、康复医学科以及损伤和中毒类疾病的患者数量占比最高。模型结果显示,性别、年龄、医保类别、入院病情、合并症、院内感染和院内转科对超长住院的产生均有显著性影响(均P<0.05)。结论:建议加强医疗质量管理和重点科室病种管理,关注老年住院患者,建立预警报告机制,推进付费方式改革,以合理减少超长住院情况的发生。
  • dc.description.abstract
  • Objective: To analyze the distribution characteristics and influencing factors of patients with over length hospitalization, and to provide references for shortening the extended stay. Methods: The inpatients' medical records of 5 tertiary comprehensive hospitals in Hubei province from 2016 to 2017 were collected. A logistic regression model was used for influencing factors analysis. Results: Most over length hospitalization were found during 30-39 days, accounting for 51.6% of the total number of over-long hospitalized patients. With the extension of hospital stay, the proportion of patients was decreasing, and the average daily cost was gradually reduced. The patients with medical insurance for urban workers took up the highest proportion, rehabilitation medicine had the most patients with over length hospitalization, and the patients with diseases of injury and poisoning accounted for the highest ratio among all disease categories. The regression results showed that gender, age, medical insurance type, hospitalization status, complications, hospital infection and intra-hospital transfer all had significant influence on over length hospitalization(all P<0.05). Conclusion: Strengthening the medical quality management and disease management, focusing on senile inpatients, establishing early warning reporting mechanism and promoting payment reform should be conduct to control the over length hospitalization in hospitals.
  • dc.description.sponsorship
  • 2017年度西南政法大学专项资助项目,编号为2017XZZXQN-33; 重庆市科卫联合医学科研项目面上项目,编号为2018MSXM108
  • dc.identifier.CN
  • 42-1387/R
  • dc.identifier.issn
  • 1006-5563
  • dc.identifier.if
  • 0.792
  • dc.subject.discipline
  • R197.3
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