| 引用本文：路凤, 聂瀚林, 董兆敏, 臧白, 王天奇, 高摘星, 郭默宁.2013—2022年北京地区住院患者流动就诊情况分析[J].中国卫生政策研究,2023,16(10):64-70 |
|
| 2013—2022年北京地区住院患者流动就诊情况分析 |
| 投稿时间：2023-08-28 修订日期：2023-10-10 PDF全文浏览 HTML全文浏览 |
| 路凤1,2, 聂瀚林3, 董兆敏4, 臧白1, 王天奇1,2, 高摘星1, 郭默宁1,2 |
1. 北京市卫生健康大数据与政策研究中心(北京市医院管理研究所) 北京 100034;
2. 北京市医疗管理数据质量控制和改进中心 北京 100034;
3. 北京中医药大学管理学院 北京 100029;
4. 北京航空航天大学空间与环境学院 北京 100191 |
| 摘要:目的：了解北京地区住院患者流动就诊的变化趋势与规律，为管理决策提供参考。方法：采用描述性统计分析方法对北京市住院患者流动情况进行分析，利用χ2检验比较2013—2019年与2020—2022年外地患者占比和跨区就诊率的差异。结果：2013—2022年北京地区二级及以上医疗机构住院患者共2 872.5万人次，其中跨省来京和本地跨区就诊患者分别占24.0%与36.1%; 外地患者主要来自于北京周边地区，市内跨区患者由郊区向中心城区流入现象较明显。流入患者最多的区为西城区，三级甲等医院是流入患者最主要的选择。与2013—2019年相比，2020—2022年跨省来京住院患者占比显著下降，而市内跨区就诊比例显著升高(P<0.05)。结论：北京市住院患者流动性较大且具有高度集中性，建议进一步优化区域医疗资源配置，引导患者合理有序就医。 |
| 关键词:流动就诊 住院患者 数据可视化 |
| 基金项目:首都卫生发展科研专项(首发2022-2G-2049) |
|
| Analysis of mobile visits of inpatients in Beijing between 2013 and 2022 |
| LU Feng1,2, NIE Han-lin3, DONG Zhao-min4, ZANG Bai1, WANG Tian-qi1,2, GAO Zhai-xing1, GUO Mo-ning1,2 |
1. Beijing Municipal Health Big Data and Policy Research Center(Beijing Institute of Hospital Management), Beijing 100034, China;
2. Beijing Center for Quality Control and Improvement of Medical Management Data, Beijing 100034, China;
3. School of Management, Beijing University of Chinese Medicine, Beijing 100029, China;
4. School of Space and Environment, Beihang University, Beijing 100191, China |
| Abstract:Objective: To understand the trend and law of mobile visits of inpatients in Beijing and to provide reference for decision-making. Methods: A descriptive method is used to analyze the mobility of the inpatients in Beijing, and χ2test is applied to compare the difference in the proportion of out-of-town patients and the rate of cross-regional patients between 2020—2022 and 2013—2019. Results: A total of 28.725 million inpatients were in secondary and tertiary medical institutions in Beijing during the period of 2013—2022, among which 24.0% and 36.1% were inter-provincial and inter-district patients. Non-local patients mainly came from the surrounding regions of Beijing, and the mobility trends from suburbs to central urban areas was obvious. The district with the largest inflow of patients was Xicheng District, and the Class-A tertiary hospitals were the most important choice for inflow of patients. Compared with 2013—2019, the proportion of inpatients coming to Beijing across provinces decreased significantly and the proportion of cross-district visits in the city increased significantly during the period of 2020-2022(P<0.05). Conclusions: The mobility of inpatients in Beijing is high and highly concentrated. It is suggested to further optimize the allocation of regional medical resources and guide patients to seek medical treatment in a reasonable and orderly manner. |
| Key words:Mobile visit Inpatients Data visualization |
| 摘要点击次数: 762 全文下载次数: 354 |
|
|
|
|
|
