JOURNAL ARTICLE

Producing non-communicable diseases(NCD's) as health 'problems' in Botswana: A critical analysis of the NCD strategy (2018–2023).

  • Published In: Health: An Interdisciplinary Journal for the Social Study of Health, Illness & Medicine, 2026, v. 30, n. 2. P. 278 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sebeelo, Tebogo B 3 of 3

Abstract

This article critically examines how non-communicable diseases (NCDs) are represented as policy problems in Botswana, focusing on the Botswana Multi-Sectoral Strategy for Prevention and Control of Non-Communicable Diseases (2018–2023). Using Carol Bacchi’s "What’s the Problem Represented to Be" (WPR) approach combined with critical discourse analysis, the study finds that the NCD strategy frames NCDs primarily through a neoliberal lens emphasizing individual responsibility for health behaviors, while largely neglecting broader socio-cultural and structural determinants such as poverty, inequality, and healthcare access. The strategy’s reliance on international expertise and evidence-based interventions is noted to potentially marginalize local knowledge systems and lived experiences. The article concludes by advocating for a more context-specific, inclusive approach that integrates local perspectives, addresses structural factors, and acknowledges the coexistence of infectious diseases and NCDs in Botswana.

Additional Information

  • Source:Health: An Interdisciplinary Journal for the Social Study of Health, Illness & Medicine. 2026/03, Vol. 30, Issue 2, p278
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2026
  • ISSN:1363-4593
  • DOI:10.1177/13634593251332879
  • Accession Number:191764018
  • Copyright Statement:Copyright of Health: An Interdisciplinary Journal for the Social Study of Health, Illness & Medicine is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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