Evidence map›Paper›PMID 37279249›Full record

ArticlePloS one2023

On the forms, contributions and impacts of community mobilisation involved with Kerala's COVID-19 response: Perspectives of health staff, Local Self Government institution and community leaders.

Gloria Benny, Hari Sankar D, Jaison Joseph, Surya Surendran, Devaki Nambiar

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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Gloria BennyThe George Institute for Global Health, New Delhi, India.ORCID 0000-0003-3263-0798
Hari Sankar DThe George Institute for Global Health, New Delhi, India.
Jaison JosephThe George Institute for Global Health, New Delhi, India.
Surya SurendranThe George Institute for Global Health, New Delhi, India.
Devaki NambiarThe George Institute for Global Health, New Delhi, India.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundKerala, a south Indian state, has a long and strong history of mobilisation of people's participation with institutionalised mechanisms as part of decentralisation reforms introduced three decades ago. This history formed the backdrop of the state's COVID-19 response from 2020 onwards. As part of a larger health equity study, we carried out an analysis to understand the contributions of people's participation to the state's COVID-19 response, and what implications this may have for health reform as well as governance more broadly.

methodsWe employed in-depth interviews with participants from four districts of Kerala between July and October, 2021. Following written informed consent procedures, we carried out interviews of health staff from eight primary health care centres, elected Local Self Government (LSG, or Panchayat) representatives, and community leaders. Questions explored primary health care reforms, COVID responses, and populations left behind. Transliterated English transcripts were analysed by four research team members using a thematic analysis approach and ATLAS.ti 9 software. For this paper, we specifically analysed codes and themes related to experiences of community actors and processes for COVID mitigation activities.

resultsA key feature of the COVID-19 response was the formation of Rapid Response Teams (RRTs), groups of lay community volunteers, who were identified and convened by LSG leaders. In some cases, pre-pandemic 'Arogya sena' (health army) community volunteer groups were merged with RRTs. RRT members were trained and supported by the health departments at the local level to distribute medicine and essential items, provided support for transportation to health facilities, and assisted with funerary rites during lockdown and containment period. RRTs often comprised youth cadres of ruling and opposition political parties. Existing community networks like Kudumbashree (Self Help Groups) and field workers from other departments have supported and been supported by RRTs. As pandemic restrictions eased, however, there was concern about the sustainability of this arrangement as well.

conclusionParticipatory local governance in Kerala allowed for the creation of invited spaces for community participation in a variety of roles as part of the COVID 19 response, with manifest impact. However, the terms of engagement were not decided by communities, nor were they involved more deeply in planning and organising health policy or services. The sustainability and governance features of such involvement warrant further study.

Indexed as

COVID-19Health Care ReformAdolescentCommunicable Disease ControlGovernmentHealth FacilitiesHumans

Identifiers

PMID37279249
PMCPMC10243625

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LicenceCC BY
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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.