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利用全国性的横断面研究制定 COVID-19 管理的医院准备指数(HOSPI):来自印度的案例研究。

Using a national level cross-sectional study to develop a Hospital Preparedness Index (HOSPI) for Covid-19 management: A case study from India.

机构信息

Department of Cardiology, AIIMS Rishikesh, Rishikesh, Uttarakhand, India.

NITI AAYOG, New Delhi, India.

出版信息

PLoS One. 2022 Jul 27;17(7):e0269842. doi: 10.1371/journal.pone.0269842. eCollection 2022.

DOI:10.1371/journal.pone.0269842
PMID:35895724
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9328545/
Abstract

BACKGROUND

We developed a composite index-hospital preparedness index (HOSPI)-to gauge preparedness of hospitals in India to deal with COVID-19 pandemic.

METHODS

We developed and validated a comprehensive survey questionnaire containing 63 questions, out of which 16 critical items were identified and classified under 5 domains: staff preparedness, effects of COVID-19, protective gears, infrastructure, and future planning. Hospitals empaneled under Ayushman Bharat Yojana (ABY) were invited to the survey. The responses were analyzed using weighted negative log likelihood scores for the options. The preparedness of hospitals was ranked after averaging the scores state-wise and district-wise in select states. HOSPI scores for states were classified using K-means clustering.

FINDINGS

Out of 20,202 hospitals empaneled in ABY included in the study, a total of 954 hospitals responded to the questionnaire by July 2020. Domains 1, 2, and 4 contributed the most to the index. The overall preparedness was identified as the best in Goa, and 12 states/ UTs had scores above the national average score. Among the states which experienced high COVID-19 cases during the first pandemic wave, we identified a cluster of states with high HOSPI scores indicating better preparedness (Maharashtra, Tamil Nadu, Karnataka, Uttar Pradesh and Andhra Pradesh), and a cluster with low HOSPI scores indicating poor preparedness (Chhattisgarh, Delhi, Uttarakhand).

INTERPRETATION

Using this index, it is possible to identify areas for targeted improvement of hospital and staff preparedness to deal with the COVID-19 crisis.

摘要

背景

我们开发了一个综合指标-医院准备指数(HOSPI),以评估印度医院应对 COVID-19 大流行的准备情况。

方法

我们开发并验证了一个综合调查问卷,其中包含 63 个问题,从中确定了 16 个关键项目,并将其分为 5 个领域:员工准备情况、COVID-19 的影响、防护装备、基础设施和未来规划。邀请参加 Ayushman Bharat Yojana(ABY)计划的医院参加调查。使用选项的加权负对数似然得分对响应进行分析。在选定的州中,按州和地区平均分数对医院的准备情况进行排名。使用 K-均值聚类对各州的 HOSPI 分数进行分类。

结果

在研究中包括的 20,202 家 ABY 计划中的医院中,共有 954 家医院在 2020 年 7 月前对问卷做出了回应。第 1、2 和 4 个领域对指数的贡献最大。整体准备情况在果阿州最好,有 12 个州/联邦属地的得分高于全国平均水平。在经历了第一波大流行期间 COVID-19 高病例的州中,我们确定了一组 HOSPI 得分较高的州,表明准备情况较好(马哈拉施特拉邦、泰米尔纳德邦、卡纳塔克邦、北方邦和安得拉邦),以及一组 HOSPI 得分较低的州,表明准备情况较差(恰蒂斯加尔邦、德里、北阿坎德邦)。

解释

使用这个指数,可以确定医院和员工准备情况的目标改进领域,以应对 COVID-19 危机。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b11/9328545/ce4415da193c/pone.0269842.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b11/9328545/186b49fa91f9/pone.0269842.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b11/9328545/ce4415da193c/pone.0269842.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b11/9328545/186b49fa91f9/pone.0269842.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b11/9328545/ce4415da193c/pone.0269842.g002.jpg

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