Eliciting Preferences for Health Technology Assessment Criteria Using Analytic Hierarchy Process and Discrete Choice Experiment in Kenya
Author(s)
Obadha M1, Mumbi A2, Njuguna RG2, Orangi S2, Nguhiu P3, Ngaiza G4, Omollo H5, Njeru N6, Barasa E2
1Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Oxford, OXF, UK, 2Health Economics Research Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya, 3TB Monitoring Evaluation and Strategic Information Unit, Global TB Program, World Health Organization, Geneva, Switzerland, 4Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK, 5County Department of Health, Nairobi City County, Nairobi, Kenya, 6Ministry of Health, Nairobi, Kenya
OBJECTIVES: The study set out to elicit preferences for health technology assessment (HTA) criteria in Kenya using two Multi-Criteria Decision Analysis (MCDA) methods; Analytic Hierarchy Process (AHP) and Discrete Choice Experiment (DCE).
METHODS: AHP and DCE were used to elicit preferences of Kenyan stakeholders in HTA as part of an MCDA study. The targeted stakeholders included policymakers/purchasers, providers, academics/researchers, patients, and the public (community-based organisations and non-governmental organisations). AHP was conducted in a one-day workshop with 23 stakeholders using expert choice software, while Computer-Assisted Personal Interviewing (CAPI) technique was used to administer the DCE to 272 stakeholders. The same HTA criteria were used for both exercises, namely, burden of disease, congruence with existing priorities, effectiveness of intervention, equity, and health systems capacity.
RESULTS: In AHP, burden of disease was the most important criterion (36.39%) followed by effectiveness of intervention (23.89%), and health systems capacity (17.98%). Congruence with existing priorities was the least important criterion (8.50%). Across, the five stakeholder groups, burden of disease was the most important criterion except among the public, where effectiveness of intervention was the most important. Congruence with existing priorities was the least important across the stakeholder groups except providers, where equity was the least important.
The relative importance estimates from the DCE showed that burden of disease was the most important criterion. Effectiveness of intervention was second, equity third, followed by congruence with existing priorities and health systems capacity. Across the stakeholder groups, burden of disease and effectiveness of intervention were the two highest ranked criteria in terms of relative importance. Health systems capacity was the lowest ranked criterion, except among policymakers where it was ranked third.CONCLUSIONS: The two methods showed that burden of disease and effectiveness of intervention were the two most important criteria for HTA in Kenya.
Conference/Value in Health Info
Value in Health, Volume 26, Issue 6, S2 (June 2023)
Code
HTA16
Topic
Health Technology Assessment
Topic Subcategory
Decision & Deliberative Processes, Value Frameworks & Dossier Format
Disease
Drugs, Medical Devices, Surgery, Vaccines