Economic analysis for national immunization program planning: A case of rotavirus vaccines in Burundi

BackgroundIn Burundi, diarrhea is the third leading cause of mortality among children under five years of age. This study conducted an economic analysis of rotavirus vaccination program in Burundi.MethodsA Markov model was constructed to simulate clinical and economic outcomes for the 2019 birth cohort for a period of 5 years. Empirical costing data were collected. ICER per episode averted, ICER per death averted, ICER per DALY averted, net present value, and budget impact were estimated for 4 brands of WHO pre-qualified rotavirus vaccines. One-way and probabilistic sensitivity analysis as well as threshold analysis were performed.ResultsFor the base case, while all four WHO pre-qualified rotavirus vaccines were cost-effective (ICER < 3 GDP per capita), three of them (i.e. Rotarix, Rotavac and Rotasiil) were very cost-effective (ICER <1 GDP per capita) from both the provider and societal perspectives. The vaccines were still very cost-effective at a price increase of up to US$ 5.09, US$ 3.16, US$ 3.89, and US$ 2.69 for Rotarix, RotaTeq, Rotavac, and Rotasiil, respectively. Probabilistic sensitivity analysis indicated that vaccination programs with Rotarix, RotaTeq, Rotavac, and Rotasiil are cost-effective at a probability of 93.8%, 27%, 99.1%, and 92.7%, respectively. All vaccination programs were cost-beneficial with a net present value in the range of US$ 5,214,912 and US$ 11,135,997.The budget required to run the vaccination program, estimated with break-even prices, ranged between US$ 42,249,498 and US$ 53,487,935 for a 5-year time period. When compared to the GDP of Burundi in 2019, these are are less than 2%.ConclusionThe rotavirus vaccine is good value for money. Findings from this study offer evidence on potential economic benefits as well as the required budget for different rotavirus vaccination programs, which could be useful for future planning related to rotavirus vaccine coverage in Burundi after graduation from GAVI.     

Budgeting for a billion: applying health technology assessment (HTA) for universal health coverage in India

Background

India recently launched the largest universal health coverage scheme in the world to address the gaps in providing healthcare to its population. Health technology assessment (HTA) has been recognised as a tool for setting priorities as the government seeks to increase public health expenditure. This study aims to understand the current situation for healthcare decision-making in India and deliberate on the opportunities for introducing HTA in the country.

Methods

A paper-based questionnaire, adapted from a survey developed by the International Decision Support Initiative (iDSI), was administered on the second day of the Topic Selection Workshop that was conducted as part of the HTA Awareness Raising Workshop held in New Delhi on 25–27 July, 2016. Participants were invited to respond to questions covering the need, demand and supply for HTA in their context as well as the role of their organisation vis-à-vis HTA. The response rate for the survey was about 68% with 41 participants having completed the survey.

Results

Three quarters of the respondents (71%) stated that the government allocated healthcare resources on the basis of expert opinion. Most respondents indicated reimbursement of individual health technologies and designing a basic health benefit package (93% each) were important health policy areas while medical devices and screening programmes were cited as important technologies (98% and 92%, respectively). More than half of the respondents noted that relevant local data was either not available or was limited. Finally, technical capacity was seen as a strength and a constraint facing organisations.

Conclusion

The findings from this study shed light on the current situation, the opportunities, including potential topics, and challenges in conducting HTA in India. There are limitations to the study and further studies may need to be conducted to inform the role that HTA will play in the design or implementation of universal health coverage in India.

     

Setting priorities for health interventions in developing countries: a review of empirical studies

Objective  To assess and summarize empirical studies on priority-setting in developing countries.
Methods  Literature review of empirical studies on priority-setting of health interventions in developing countries in Medline and EMBASE (Ovid) databases.
Results  Eighteen studies were identified and classified according to their characteristics and methodological approaches. All studies were published after 1999, mostly between 2006 and 2008. Study objectives and methodologies varied considerably. Most studies identified sets of relevant criteria for priority-setting (17/18) and involved different stakeholders as respondents (11/18). Studies used qualitative (8/15) or quantitative (3/15) techniques, or combinations of these (4/15) to elicit preferences from respondents. In a few studies, respondents deliberated on results (3/18). A minority of studies (7/18) resulted in a rank ordering of interventions.
Conclusions  This review has revealed an increase in the number of empirical studies on priority-setting in developing countries in the past decade. Methods for explicit priority-setting are developing, being reported and are verifiable and replicable and can potentially lead to solutions for ad hoc policy-making in health care in many developing countries.     

Incorporating MCDA into HTA: challenges and potential solutions,with a focus on lower income settings

Background

Multicriteria decision analysis (MCDA) has the potential to bring more structure and transparency to health technology assessment (HTA). The objective of this paper is to highlight key methodological and practical challenges facing the use of MCDA for HTA, with a particular focus on lower and middle-income countries (LMICs), and to highlight potential solutions to these challenges.

Methodological challenges

Key lessons from existing applications of MCDA to HTA are summarized, including: that the socio-technical design of the MCDA reflect the local decision problem; the criteria set properties of additive models are understood and applied; and the alternative approaches for estimating opportunity cost, and the challenges with these approaches are understood.

Practical challenges

Existing efforts to implement HTA in LMICs suggest a number of lessons that can help overcome the practical challenges facing the implementation of MCDA in LMICs, including: adapting inputs from other settings and from expert opinion; investing in technical capacity; embedding the MCDA in the decision-making process; and ensuring that the MCDA design reflects local cultural and social factors.

Conclusion

MCDA has the potential to improve decision making in LMICs. For this potential to be achieved, it is important that the lessons from existing applications of MCDA are learned.