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1.
PLoS One ; 17(7): e0269842, 2022.
Article in English | MEDLINE | ID: covidwho-1963008

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.


Subject(s)
COVID-19 , Pandemics , COVID-19/epidemiology , Cross-Sectional Studies , Hospitals , Humans , India/epidemiology
2.
Health Syst Reform ; 7(1): e1897323, 2021 01 01.
Article in English | MEDLINE | ID: covidwho-1207212

ABSTRACT

As countries all over the world grapple with containing the COVID-19 outbreak, Low- and Middle-Income Countries (LMICs) are particularly hard-pressed because on the one hand, the pandemic has created unforeseen high demand for health services which requires increased spending. On the other hand, the contagion and the public health measures taken to curb it have disrupted economies whilst creating additional spending pressures as well. This constrains the policy options available for LMICs to ensure an adequate and sustainable financing for the health sector's COVID-19 response whilst maintaining routine supply of essential health services. Despite this, as demonstrated by India, many LMICs are undertaking many reform efforts to address both the health and economic hardships caused by the pandemic. In this commentary, we describe the policy tools that one such LMIC, India, has used to enable financing for the outbreak.


Subject(s)
COVID-19/economics , COVID-19/epidemiology , Family Characteristics , Health Expenditures/statistics & numerical data , Developing Countries , Female , Humans , India/epidemiology , Male , Pandemics , SARS-CoV-2
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