Evidence map›Paper›PMID 38938168›Full record

ArticleHealth policy and planning2024

The influence of crisis on policy formulation: the case of alcohol regulation in South Africa during COVID-19 (2020-21).

Mumta Hargovan, Leslie London, Marsha Orgill

Abstract read
In one paragraph

Article in Health policy and planning, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Mumta HargovanSchool of Public Health, University of Cape Town, Observatory, Cape Town 7925, South Africa.ORCID 0009-0005-8994-364X
Leslie LondonSchool of Public Health, University of Cape Town, Observatory, Cape Town 7925, South Africa.
Marsha OrgillThe Children's Institute, University of Cape Town, Rondebosch, Cape Town 7700, South Africa.ORCID 0000-0003-3831-6249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study contributes to a neglected aspect of health policy analysis: policy formulation processes. Context is central to the policy cycle, yet the influence of crises on policy formulation is underrepresented in the health policy literature in low- and middle-income countries (LMICs). This paper analyses a detailed case study of how the COVID-19 crisis influenced policy formulation processes for the regulation of alcohol in South Africa, as part of COVID-19 control measures, in 2020 and 2021. It provides a picture of the policy context, specifically considering the extent to which the crisis influenced the position and power of actors, and policy content. Qualitative data were collected from nine key informant interviews and 127 documents. Data were analysed using thematic content analysis. A policy formulation conceptual framework was applied as a lens to describe complex policy formulation processes. The study revealed that the perceived urgency of the pandemic prompted a heightened sense of awareness of alcohol-related trauma as a known, preventable threat to public health system capacity. This enabled a high degree of innovation among decision-makers in the generation of alternative alcohol policy content. Within the context of uncertainty, epistemic and experiential policy learning drove rapid, adaptive cycles of policy formulation, demonstrating the importance of historical and emerging public health evidence in crisis-driven decision-making. Within the context of centralization and limited opportunities for stakeholder participation, non-state actors mobilized to influence policy through the public arena. The paper concludes that crisis-driven policy formulation processes are shaped by abrupt redistributions of power among policy actors and the dynamic interplay of evolving economic, political and public health priorities. Understanding the complexity of the local policy context may allow actors to navigate opportunities for public health-oriented alcohol policy reforms in South Africa and other LMICs.

Indexed as

COVID-19Health PolicyPolicy MakingAlcohol DrinkingAlcoholic BeveragesHumansQualitative ResearchSARS-CoV-2South Africaalcohol policycrisis contextPolicy formulation processSouth Africa

Identifiers

PMID38938168
PMCPMC11308613

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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.