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Alcohol is a major contributor to the Non-Communicable Disease burden in South Africa. In 2000, 7.1% of all deaths and 7% of total disability-adjusted life years were ascribed to alcohol-related harm in the country. Regulations proposed to restrict alcohol advertising in South Africa present an evidence-based upstream intervention. Research on policy formulation in low- and middle-income countries is limited. This study aims to describe and explore the policy formulation process of the 2013 draft Control of Marketing of Alcoholic Beverages Bill in South Africa between March 2011 and May 2017. Recognising the centrality of affected actors in policy-making processes, the study focused on the alcohol industry as a central actor affected by the policy, to understand how they-together with other actors-may influence the policy formulation process. A qualitative case study approach was used, involving a stakeholder mapping, 10 in-depth interviews, and review of approximately 240 documents. A policy formulation conceptual framework was successfully applied as a lens to describe a complex policy formulation process. Key factors shaping policy formulation included: (1) competing and shared values-different stakeholders promote conflicting ideals for policymaking; (2) inter-department jostling-different government departments seek to protect their own functions, hindering policy development; (3) stakeholder consultation in democratic policymaking-policy formulation requires consultations even with those opposed to regulation and (4) battle for evidence-evidence is used strategically by all parties to shape perceptions and leverage positions. This research (1) contributes to building an integrated body of knowledge on policy formulation in low- and middle-income countries; (2) shows that achieving policy coherence across government departments poses a major challenge to achieving effective health policy formulation and (3) shows that networks of actors with commercial and financial interests use diverse strategies to influence policy formulation processes to avoid regulation.
Restricting alcohol advertising and marketing is a cost-effective intervention for reducing alcohol harms. However, the alcohol industry maintains that advertising does not affect consumption, claiming that its purpose is to help consumers choose brands, it is not aimed at young people, it only promotes “responsible consumption”, and any relationships with consumption are not causal. We reviewed 39 case studies (1981–2016) published by the advertising industry, which evaluate the effects of alcohol advertising campaigns. We used these to examine these industry claims. 30/39 (77%) of the case studies mentioned increasing/maintaining market share as an objective, or used this to assess the effectiveness of advertising campaigns. Most (25/39, 64%) found that campaigns increased consumption-related outcomes. Some campaigns targeted women, and heavy drinkers (e.g., Stella Artois lager, Famous Grouse whisky). Campaigns often (13/39, 33%) targeted younger drinkers. These data show that advertising does influence market share. Other effects reported in the case studies include changing the consumer profile towards: younger drinkers, women, new/lapsed drinkers, and heavy drinkers. They also present evidence of a causal relationship between advertising and consumption. In conclusion, this analysis, based on industry data, presents significant new evidence on (i) the effects of alcohol advertising on consumption-related outcomes, and (ii) the mechanisms by which it achieves those effects.
BackgroundThe general practitioner contracting initiative (GPCI) is a health systems strengthening initiative piloted in the first phase of national health insurance (NHI) implementation in South Africa as it progresses towards universal health coverage (UHC). GPCI aimed to address the shortage of doctors in the public sector by contracting-in private sector general practitioners (GPs) to render services in public primary health care clinics. This paper explores the early inception and emergence of the GPCI. It describes three models of contracting-in that emerged and interrogates key factors influencing their evolution.MethodsThis qualitative multi-case study draws on three cases. Data collection comprised document review, key informant interviews and focus group discussions with national, provincial and district managers as well as GPs (n = 68). Walt and Gilson’s health policy analysis triangle and Liu’s conceptual framework on contracting-out were used to explore the policy content, process, actors and contractual arrangements involved.ResultsThree models of contracting-in emerged, based on the type of purchaser: a centralized-purchaser model, a decentralized-purchaser model and a contracted-purchaser model. These models are funded from a single central source but have varying levels of involvement of national, provincial and district managers. Funds are channelled from purchaser to provider in slightly different ways. Contract formality differed slightly by model and was found to be influenced by context and type of purchaser. Conceptualization of the GPCI was primarily a nationally-driven process in a context of high-level political will to address inequity through NHI implementation. Emergence of the models was influenced by three main factors, flexibility in the piloting process, managerial capacity and financial management capacity.ConclusionThe GPCI models were iterations of the centralized-purchaser model. Emergence of the other models was strongly influenced by purchaser capacity to manage contracts, payments and recruitment processes. Findings from the decentralized-purchaser model show importance of local context, provincial capacity and experience on influencing evolution of the models. Whilst contract characteristics need to be well defined, allowing for adaptability to the local context and capacity is critical. Purchaser capacity, existing systems and institutional knowledge and experience in contracting and financial management should be considered before adopting a decentralized implementation approach.Electronic supplementary materialThe online version of this article (10.1186/s12939-018-0830-0) contains supplementary material, which is available to authorized users.
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