Evidence map›Paper›PMID 37602582›Full record

ArticleThe Indian journal of medical research2023

Challenges faced by frontline health managers during the implementation of COVID-19 related policies in India: A qualitative analysis.

Rashmi Kundapur, Sumit Aggarwal, Rakhal Gaitonde, Anusha Rashmi, Leyanna Susan George, Arvind Pandey, Yogita Bavaskar

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Article in The Indian journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rashmi KundapurDepartment of Community & Family Medicine, All India Institute of Medical Sciences Bibinagar, Hyderabad, Telangana, India.
Sumit AggarwalDivisions of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Rakhal GaitondeAchutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute of Medical Sciences & Technology, Thiruvananthapuram, Kerala, India.
Anusha RashmiDepartment of Community Medicine, K S Hegde Medical Academy, Deralakatte, Mangalore, Karnataka, India.
Leyanna Susan GeorgeCommunicable Diseases, Indian Council of Medical Research, New Delhi, India.
Arvind PandeyNational Chair (Medical Statistics), Indian Council of Medical Research, New Delhi, India.
Yogita BavaskarDepartment of Community Medicine, Government Medical College, Jalgoan, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: The COVID-19 pandemic exposed the strengths and weaknesses of the healthcare systems across the world. Many directives, guidelines and policies for pandemic control were laid down centrally for its implementation; however, its translation at the periphery needs to be analyzed for future planning and implementation of public health activities. Hence, the objectives of this study were to identify the challenges faced by frontline health managers in selected States in India during the pandemic with regard to implementation of the COVID-19-related policies at the district level and also to assess the challenges faced by the them in adapting the centrally laid down COVID-19 guidelines as per the local needs of the district. Methods: A qualitative study using the grounded theory approach was conducted among frontline district-level managers from eight different States belonging to the north, south, east and west zones of India. The districts across the country were selected based on their vulnerability index, and in-depth interviews were conducted among the frontline managers to assess the challenges faced by them in carrying out COVID-19 related activities. Recorded data were transcribed verbatim, manually coded and thematically analyzed. Results: Challenges faced in implementing quarantine rules were numerous, and it was also compounded by stigma attached with the disease. The need for adapting the guidelines as per local considerations, inclusion of components of financial management at local level, management of tribal and vulnerable populations and migrants in COVID context were strongly suggested. The need to increase human resource in general and specifically data managers and operators was quoted as definite requirement. Interpretation & conclusions: The COVID-19 guidelines provided by the Centre were found to be useful at district levels. However, there was a need to make some operational and administrative modifications in order to implement these guidelines locally and to ensure their acceptability.

Indexed as

COVID-19HumansIndiaPandemicsPolicyPublic HealthChallengesCOVID-19district levelmulticentricpolicy implementationqualitative analysisquarantine

Identifiers

PMID37602582
PMCPMC10550068

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.