Extended cost-effectiveness analysis of interventions to improve uptake of diabetes services in South Africa

Author:

Fraser Heather L12ORCID,Feldhaus Isabelle3ORCID,Edoka Ijeoma P45,Wade Alisha N67,Kohli-Lynch Ciaran N28,Hofman Karen2,Verguet Stéphane3

Affiliation:

1. Health Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow , Clarice Pears Building (Level 3), 90 Byres Road, United Kingdom

2. SA MRC/Centre for Health Economics and Decision Science—PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand , 27 St Andrews Road, Johannesburg 2193, South Africa

3. Department of Global Health and Population, Harvard T.H. Chan School of Public Health , Boston, MA 02115, USA

4. Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand , 32 Princess of Wales Terrace, Johannesburg 2193, South Africa

5. School of Public Health, Faculty of Health Sciences, University of the Witwatersrand , 27 St Andrews Road, Johannesburg 2193, South Africa

6. MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand , 27 St Andrews Road, Johannesburg 2193, South Africa

7. Division of Endocrinology, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania , 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States

8. Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University , 680 N. Lake Shore Drive, Chicago, IL 60611, United States

Abstract

Abstract The rising prevalence of diabetes in South Africa (SA), coupled with significant levels of unmet need for diagnosis and treatment, results in high rates of diabetes-associated complications. Income status is a determinant of utilization of diagnosis and treatment services, with transport costs and loss of wages being key barriers to care. A conditional cash transfer (CCT) programme, targeted to compensate for such costs, may improve service utilization. We applied extended cost-effectiveness analysis (ECEA) methods and used a Markov model to compare the costs, health benefits and financial risk protection (FRP) attributes of a CCT programme. A population was simulated, drawing from SA-specific data, which transitioned yearly through various health states, based on specific probabilities obtained from local data, over a 45-year time horizon. Costs and disability-adjusted life years (DALYs) were applied to each health state. Three CCT programme strategies were simulated and compared to a ‘no programme’ scenario: (1) covering diagnosis services only; (2) covering treatment services only; (3) covering both diagnosis and treatment services. Cost-effectiveness was reported as incremental net monetary benefit (INMB) using a cost-effectiveness threshold of USD3015 per DALY for SA, while FRP outcomes were reported as catastrophic health expenditure (CHE) cases averted. Distributions of the outcomes were reported by income quintile and sex. Covering both diagnosis and treatment services for the bottom two quintiles resulted in the greatest INMB (USD22 per person) and the greatest CHE cases averted. There were greater FRP benefits for women compared to men. A CCT programme covering diabetes diagnosis and treatment services was found to be cost-effective, when provided to the poorest 40% of the SA population. ECEA provides a useful platform for including equity considerations to inform priority setting and implementation policies in SA.

Funder

South African Medical Research Council

ANW is supported by the Fogarty International Centre, National Institutes of Health

Publisher

Oxford University Press (OUP)

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