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
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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。
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.
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