印度的急诊护理:卫生管理和信息系统与全球疾病负担的回顾性横断面分析

Gaurav Urs, Siddhesh Zadey, Padmavathy Krishna Kumar, Tejali Gangane, Pushkar Nimkar, Catherine Staton, Joao Ricardo Nickenig Vissoci
{"title":"印度的急诊护理:卫生管理和信息系统与全球疾病负担的回顾性横断面分析","authors":"Gaurav Urs, Siddhesh Zadey, Padmavathy Krishna Kumar, Tejali Gangane, Pushkar Nimkar, Catherine Staton, Joao Ricardo Nickenig Vissoci","doi":"10.1101/2024.08.16.24312130","DOIUrl":null,"url":null,"abstract":"Background: To understand the utilization and burden of emergency medical conditions (EMCs), we assessed EM Department (EMD) data from the Health Management and Information System (HMIS) of India and EMC from the Global Burden of Diseases (GBD). Methods: This was a retrospective cross-sectional analysis of HMIS and GBD data for 2019. We extracted EMD registrations, admissions, and deaths from HMIS and incidence, deaths, and DALYs from GBD for 31 EMCs at the national and state levels. We analyzed HMIS and GBD data for proportions and rates of registrations, deaths, and incident cases relative to population counts and hospital admission numbers. Results: In 2019, 119,103,358 patients (8,935.66 per 100,000 people) were registered at EMDs. The national EMD registration rate was 6,744.21 per 100,000 hospital admissions and the EMD death rate was 43,939.49 per 100,000 inpatient deaths. Only 12.14% of all HMIS registrations had cause-specific data. GBD estimated 2,047,175,737 EMC incident cases nationally, accounting for 27.22% of all-cause incidence, 51.71% of all-cause mortality, and 42.30% of all-cause DALYs. Trauma-related registrations were 9.27% in HMIS while injuries in GBD accounted for 7% of EMCs. Overall, HMIS EMD registrations were lower than GBD EMC incidence numbers, with regional variations. Conclusions: The study reveals gaps in the EMD utilization as per HMIS data compared to the EMC burden estimates from GBD. Improved data integration and reporting can address regional disparities.","PeriodicalId":501290,"journal":{"name":"medRxiv - Emergency Medicine","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Emergency Care in India: A Retrospective Cross-sectional Analysis of Health Management and Information System and Global Burden of Disease\",\"authors\":\"Gaurav Urs, Siddhesh Zadey, Padmavathy Krishna Kumar, Tejali Gangane, Pushkar Nimkar, Catherine Staton, Joao Ricardo Nickenig Vissoci\",\"doi\":\"10.1101/2024.08.16.24312130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: To understand the utilization and burden of emergency medical conditions (EMCs), we assessed EM Department (EMD) data from the Health Management and Information System (HMIS) of India and EMC from the Global Burden of Diseases (GBD). Methods: This was a retrospective cross-sectional analysis of HMIS and GBD data for 2019. We extracted EMD registrations, admissions, and deaths from HMIS and incidence, deaths, and DALYs from GBD for 31 EMCs at the national and state levels. We analyzed HMIS and GBD data for proportions and rates of registrations, deaths, and incident cases relative to population counts and hospital admission numbers. Results: In 2019, 119,103,358 patients (8,935.66 per 100,000 people) were registered at EMDs. The national EMD registration rate was 6,744.21 per 100,000 hospital admissions and the EMD death rate was 43,939.49 per 100,000 inpatient deaths. Only 12.14% of all HMIS registrations had cause-specific data. GBD estimated 2,047,175,737 EMC incident cases nationally, accounting for 27.22% of all-cause incidence, 51.71% of all-cause mortality, and 42.30% of all-cause DALYs. Trauma-related registrations were 9.27% in HMIS while injuries in GBD accounted for 7% of EMCs. Overall, HMIS EMD registrations were lower than GBD EMC incidence numbers, with regional variations. Conclusions: The study reveals gaps in the EMD utilization as per HMIS data compared to the EMC burden estimates from GBD. Improved data integration and reporting can address regional disparities.\",\"PeriodicalId\":501290,\"journal\":{\"name\":\"medRxiv - Emergency Medicine\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Emergency Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.08.16.24312130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Emergency Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.16.24312130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:为了了解急诊病症(EMC)的使用情况和负担,我们评估了印度健康管理和信息系统(HMIS)中的急诊科(EMD)数据和全球疾病负担(GBD)中的 EMC 数据。研究方法这是对2019年HMIS和GBD数据的回顾性横截面分析。我们从HMIS中提取了EMD登记、入院和死亡人数,从GBD中提取了国家和邦一级31个EMC的发病率、死亡人数和残疾调整寿命年数。我们对 HMIS 和 GBD 数据进行了分析,以了解相对于人口数量和入院人数的注册、死亡和事件病例的比例和比率。结果:2019年,119,103,358名患者(每10万人中有8,935.66人)在急诊室登记。全国急诊室登记率为每 10 万名住院患者中有 6744.21 人登记,急诊室死亡率为每 10 万名住院患者中有 43939.49 人死亡。在所有 HMIS 登记中,只有 12.14% 提供了具体病因数据。据《全球疾病数据》估计,全国共有 2,047,175,737 例 EMC 事件,占全因发病率的 27.22%,全因死亡率的 51.71%,全因残疾调整寿命年数的 42.30%。在 HMIS 系统中,与创伤有关的登记占 9.27%,而在 GBD 系统中,受伤占紧急医疗事件的 7%。总体而言,HMIS 的紧急医疗救治登记人数低于 GBD 的紧急医疗救治人数,但各地区之间存在差异。结论:这项研究揭示了根据 HMIS 数据得出的紧急医疗救护使用率与根据 GBD 估算的紧急医疗救护负担之间的差距。改进数据整合和报告可解决地区差异问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Emergency Care in India: A Retrospective Cross-sectional Analysis of Health Management and Information System and Global Burden of Disease
Background: To understand the utilization and burden of emergency medical conditions (EMCs), we assessed EM Department (EMD) data from the Health Management and Information System (HMIS) of India and EMC from the Global Burden of Diseases (GBD). Methods: This was a retrospective cross-sectional analysis of HMIS and GBD data for 2019. We extracted EMD registrations, admissions, and deaths from HMIS and incidence, deaths, and DALYs from GBD for 31 EMCs at the national and state levels. We analyzed HMIS and GBD data for proportions and rates of registrations, deaths, and incident cases relative to population counts and hospital admission numbers. Results: In 2019, 119,103,358 patients (8,935.66 per 100,000 people) were registered at EMDs. The national EMD registration rate was 6,744.21 per 100,000 hospital admissions and the EMD death rate was 43,939.49 per 100,000 inpatient deaths. Only 12.14% of all HMIS registrations had cause-specific data. GBD estimated 2,047,175,737 EMC incident cases nationally, accounting for 27.22% of all-cause incidence, 51.71% of all-cause mortality, and 42.30% of all-cause DALYs. Trauma-related registrations were 9.27% in HMIS while injuries in GBD accounted for 7% of EMCs. Overall, HMIS EMD registrations were lower than GBD EMC incidence numbers, with regional variations. Conclusions: The study reveals gaps in the EMD utilization as per HMIS data compared to the EMC burden estimates from GBD. Improved data integration and reporting can address regional disparities.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
In-hospital stay of anemic patients (70-90 g.L-1) in the ED with/without transfusion: a single-center propensity-matched study. Accuracy of the National Early Warning Score version 2 (NEWS2) in predicting need for time-critical treatment: Retrospective observational cohort study What strategies are used to select patients for direct admission under acute medicine services? A systematic review of the literature. Feasibility of mixed-reality telecollaboration to enhance pre-medical student shadowing education Evaluating the Impact of NHS Strikes on Patient Flow through Emergency Departments
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1