Improving diabetes treatment outcomes: an agent-based model of patients’ self-management behaviours and treatment outcomes in Ghana

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

Despite Ghana's national health insurance coverage for diabetes (DM) care, many patients struggle to achieve adequate blood glucose control due to challenges with medication access, affordability, and adherence. This study explores type 2 diabetes patients’ self-management behaviour and how it influences blood glucose control, medicine adherence and admissions within Ghana’s public health system. The study uses health behaviour theories, clinicians’ expertise, and evidence from published literature to build an agent-based model for improving understanding and examining the benefits of selected public health interventions: a 20% sugar-sweetened beverage (SSB) tax, increasing medicine availability and insurance coverage. Experiment results indicate that a 10% increase in insurance coverage for five consecutive years is more effective at improving blood glucose, reducing admissions and increasing medicine adherence than implementing a 20% SSB tax or a 10% increase in medicine availability. The results have implication for national insurance operation and diabetes service planning and delivery.
Original languageEnglish
Title of host publicationProceedings of the Operational Research Society Simulation Workshop 2025 (SW25)
EditorsAlison Harper, Martino Luis, Thomas Monks, Navonil Mustafee
Place of PublicationBirmingham
Pages88-98
Number of pages11
ISBN (Electronic)9798331315078
DOIs
Publication statusPublished - 2 Apr 2025
Event12th OR Society Simulation Workshop - Mercure Rougemont Hotel, Exeter, United Kingdom
Duration: 31 Mar 20252 Apr 2025
https://www.theorsociety.com/ORS/ORS/Events/2025/Simulation-Workshop/SW25-Main.aspx

Conference

Conference12th OR Society Simulation Workshop
Abbreviated titleSW25
Country/TerritoryUnited Kingdom
CityExeter
Period31/03/252/04/25
Internet address

Keywords

  • diabetes
  • agent-based modelling
  • self-management behaviour

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