Evidence map›Paper›PMID 35895724›Full record

ArticlePloS one2022

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

Bhanu Duggal, Mona Duggal, Aparna Panch, Mithlesh Chourase, Praveen Gedam, Pushpendra Singh, Sujata Saunik, Lakshminarayan Subramanian

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In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bhanu DuggalDepartment of Cardiology, AIIMS Rishikesh, Rishikesh, Uttarakhand, India.ORCID 0000-0003-0182-0740
Mona DuggalPost Graduate Institute of Medical Education and Research, Chandigarh, India.
Aparna PanchVelai Analytics India Pvt Ltd, Hyderabad, India.
Mithlesh ChouraseAIIMS Rishikesh, UK, India.
Praveen GedamNHA, New Delhi, India.
Pushpendra SinghIIIT Delhi, New Delhi, India.
Sujata SaunikTakemi Program in International Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Lakshminarayan SubramanianComputer Science, Courant Institute of Mathematical Sciences, NYU and Population Health, NYU Grossman School of Medicine, New York City, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

methodsWe 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.

findingsOut 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).

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

Indexed as

COVID-19PandemicsCross-Sectional StudiesHospitalsHumansIndia

Identifiers

PMID35895724
PMCPMC9328545

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.