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Role of data from cost and other economic analyses in healthcare decision-making for HIV, TB and sexual/reproductive health programmes in South Africa.

ABSTRACT: An increasing focus on the use of the results of cost analyses and other economic evaluations in health programme decision-making by governments, donors and technical support partners working in low- and middle-income countries is accompanied by recognition that this use is impeded by several factors, including the lack of skills, data and coordination between spheres of the government. We describe our experience generating economic evaluation data for human immunodeficiency virus, tuberculosis and sexual/reproductive health programmes in South Africa alongside the results of a series of in-depth interviews (IDIs) among decision-makers within the South African government and implementing organizations (data users) and producers of economic evaluations (data producers). We summarize results across (1) the process of implementing a new intervention; (2) barriers to the use of cost data and suggested solutions and (3) the transferability of experiences to the planned South African implementation of universal health coverage (UHC). Based on our experience and the IDIs, we suggest concrete steps towards the improvement of economic data use in the planning and the establishment of structures mandated under the transition to UHC. Our key recommendations include the following: (1) compile a publicly available and regularly updated in-country cost repository; (2) increase the availability of programmatic outcomes data at the aggregate level; (3) agree upon and implement a set of primary decision criteria for the adoption and funding of interventions; (4) combine the efforts of health economics institutions into a stringent system for health technology assessments and (5) improve the link between national and provincial planning and budgeting.

SUBMITTER: Murphy JP

PROVIDER: S-EPMC8597963 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundDecision-making in healthcare is complex. Research on coverage decision-making has focused on comparative studies for several countries, statistical analyses for single decision-makers, the decision outcome and appraisal criteria. Accounting for decision processes extends the complexity, as they are multidimensional and process elements need to be regarded as latent constructs (composites) that are not observed directly. The objective of this study was to present a practical application of partial least square path modelling (PLS-PM) to evaluate how it offers a method for empirical analysis of decision-making in healthcare.MethodsEmpirical approaches that applied PLS-PM to decision-making in healthcare were identified through a systematic literature search. PLS-PM was used as an estimation technique for a structural equation model that specified hypotheses between the components of decision processes and the reasonableness of decision-making in terms of medical, economic and other ethical criteria. The model was estimated for a sample of 55 coverage decisions on the extension of newborn screening programmes in Europe. Results were evaluated by standard reliability and validity measures for PLS-PM.ResultsAfter modification by dropping two indicators that showed poor measures in the measurement models' quality assessment and were not meaningful for newborn screening, the structural equation model estimation produced plausible results. The presence of three influences was supported: the links between both stakeholder participation or transparency and the reasonableness of decision-making; and the effect of transparency on the degree of scientific rigour of assessment. Reliable and valid measurement models were obtained to describe the composites of 'transparency', 'participation', 'scientific rigour' and 'reasonableness'.ConclusionsThe structural equation model was among the first applications of PLS-PM to coverage decision-making. It allowed testing of hypotheses in situations where there are links between several non-observable constructs. PLS-PM was compatible in accounting for the complexity of coverage decisions to obtain a more realistic perspective for empirical analysis. The model specification can be used for hypothesis testing by using larger sample sizes and for data in the full domain of health technologies.

Project description:BackgroundIn 2016, the national user fee exemption policy for women and children under five was introduced in Burkina Faso. It covers most reproductive healthcare services for women including prenatal care, delivery, and postnatal care. In subsequent years, the policy was gradually extended to include family planning. While studies have shown that user fee abolition policies increase visits to health centers and improve access to reproductive healthcare and family planning, there are also indications that other barriers remain, notably women's lack of decision-making power. The objective of the study is to investigate women's decision-making power regarding access to reproductive health and family planning in a context of free healthcare in rural Burkina Faso.MethodsA descriptive qualitative study was carried out in rural areas of the Cascades and Center-West regions. Qualitative data were collected using individual semi-structured interviews (n = 20 participants) and focus groups (n = 15 participants) with Burkinabe women of childbearing age, their husbands, and key informants in the community. Data was analyzed using thematic analysis.ResultsA conceptual framework describing women's participation in the decision-making process was built from the analysis. Results show that the user fee exemption policy contributes to improving access to reproductive care and family planning by facilitating the negotiation processes between women and their families within households. However, social norms and gender inequalities still limit women's decision-making power.ConclusionIn light of these results, courses of action that go beyond the user fee exemption policy should be considered to improve women's decision-making power in matters of health, particularly with regard to family planning. Interventions that involve men and community members may be necessary to challenge the social norms, which act as determinants of women's health and empowerment.

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Role of data from cost and other economic analyses in healthcare decision-making for HIV, TB and sexual/reproductive health programmes in South Africa.

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