Rapid cost-effectiveness analysis: hemodialysis versus peritoneal dialysis for patients with acute kidney injury in Rwanda.

BACKGROUND: To ensure the long-term sustainability of its Community-Based Health Insurance scheme, the Government of Rwanda is working on using Health Technology Assessment (HTA) to prioritize its resources for health. The objectives of the study were to rapidly assess (1) the cost-effectiveness and (2) the budget impact of providing PD versus HD for patients with acute kidney injury (AKI) in the tertiary care setting in Rwanda. METHODS: A rapid cost-effectiveness analysis for patients with AKI was conducted to support prioritization. An 'adaptive' HTA approach was undertaken by adjusting the international Decision Support Initiative reference case for time and data constraints. Available local and international data were used to analyze the cost-effectiveness and budget impact of peritoneal dialysis (PD) compared with hemodialysis (HD) in the tertiary hospital setting. RESULTS: The analysis found that HD was slightly more effective and slightly more expensive in the payer perspective for most patients with AKI (aged 15-49). HD appeared to be cost-effective when only comparing these two dialysis strategies with an incremental cost-effectiveness ratio of 378,174 Rwandan francs (RWF) or 367 United States dollars (US$), at a threshold of 0.5 × gross domestic product per capita (RWF 444,074 or US$431). Sensitivity analysis found that reducing the cost of HD kits would make HD even more cost-effective. Uncertainty regarding PD costs remains. Budget impact analysis demonstrated that reducing the cost of the biggest cost driver, HD kits, could produce significantly more savings in five years than switching to PD. Thus, price negotiations could significantly improve the efficiency of HD provision. CONCLUSION: Dialysis is costly and covered by insurance in many countries for the financial protection of patients. This analysis enabled policymakers to make evidence-based decisions to improve the efficiency of dialysis provision.

The epidemiological and economic burden of diabetes in Ghana: A scoping review to inform health technology assessment.

Diabetes remains one of the four major causes of morbidity and mortality globally among non-communicable diseases (NCDs. It is predicted to increase in sub-Saharan Africa by over 50% by 2045. The aim of this study is to identify, map and estimate the burden of diabetes in Ghana, which is essential for optimising NCD country policy and understanding existing knowledge gaps to guide future research in this area. We followed the Arksey and O'Malley framework for scoping reviews. We searched electronic databases including Medline, Embase, Web of Science, Scopus, Cochrane and African Index Medicus following a systematic search strategy. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews was followed when reporting the results. A total of 36 studies were found to fulfil the inclusion criteria. The reported prevalence of diabetes at national level in Ghana ranged between 2.80%- 3.95%. At the regional level, the Western region reported the highest prevalence of diabetes: 39.80%, followed by Ashanti region (25.20%) and Central region at 24.60%. The prevalence of diabetes was generally higher in women in comparison to men. Urban areas were found to have a higher prevalence of diabetes than rural areas. The mean annual financial cost of managing one diabetic case at the outpatient clinic was estimated at GHS 540.35 (2021 US $194.09). There was a paucity of evidence on the overall economic burden and the regional prevalence burden. Ghana is faced with a considerable burden of diabetes which varies by region and setting (urban/rural). There is an urgent need for effective and efficient interventions to prevent the anticipated elevation in burden of disease through the utilisation of existing evidence and proven priority-setting tools like Health Technology Assessment (HTA).

A Scoping Review and Taxonomy of Epidemiological-Macroeconomic Models of COVID-19.

OBJECTIVES: The COVID-19 pandemic placed significant strain on many health systems and economies. Mitigation policies decreased health impacts but had major macroeconomic impact. This article reviews models combining epidemiological and macroeconomic projections to enable policy makers to consider both macroeconomic and health objectives. METHODS: A scoping review of epidemiological-macroeconomic models of COVID-19 was conducted, covering preprints, working articles, and journal publications. We assessed model methodologies, scope, and application to empirical data. RESULTS: We found 80 articles modeling both the epidemiological and macroeconomic outcomes of COVID-19. Model scope is often limited to the impact of lockdown on health and total gross domestic product or aggregate consumption and to high-income countries. Just 14% of models assess disparities or poverty. Most models fall under 4 categories: compartmental-utility-maximization models, epidemiological models with stylized macroeconomic projections, epidemiological models linked to computable general equilibrium or input-output models, and epidemiological-economic agent-based models. We propose a taxonomy comparing these approaches to guide future model development. CONCLUSIONS: The epidemiological-macroeconomic models of COVID-19 identified have varying complexity and meet different modeling needs. Priorities for future modeling include increasing developing country applications, assessing disparities and poverty, and estimating of long-run impacts. This may require better integration between epidemiologists and economists.

Health technology assessment (HTA) readiness in Uganda: stakeholder's perceptions on the potential application of HTA to support national universal health coverage efforts.

INTRODUCTION: Health technology assessment (HTA) is an area that remains less implemented in low- and lower middle-income countries. The aim of the study is to understand the perceptions of stakeholders in Uganda toward HTA and its role in decision making, in order to inform its potential implementation in the country. METHODS: The study takes a cross-sectional mixed methods approach, utilizing an adapted version of the International Decision Support Initiative questionnaire with both semi-structured and open-ended questions. We interviewed thirty key informants from different stakeholder institutions in Uganda that support policy and decision making in the health sector. RESULTS: All participants perceived HTA as an important tool for decision making. Allocative efficiency was regarded as the most important use of HTA receiving the highest average score (8.8 out of 10), followed by quality of healthcare (7.8/10), transparency (7.6/10), budget control (7.5/10), and equity (6.5/10). There was concern that some of the uses of HTA may not be achieved in reality if there was political interference during the HTA process. The study participants identified development partners as the most likely potential users of HTA (66.7 percent of participants), followed by Ministry of Health (43.3 percent). CONCLUSION: Interviewed stakeholders in Uganda viewed the role of HTA positively, suggesting that there exists a promising environment for the establishment and operationalization of HTA as a tool for decision making within the health sector. However, sustainable development and application of HTA in Uganda will require adequate capacity both to undertake HTAs and to support their use and uptake.

GRADE guidance 23: considering cost-effectiveness evidence in moving from evidence to health-related recommendations.

BACKGROUND: This is the 23rd in a series of articles describing the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to grading the certainty of evidence and strength of recommendations for systematic reviews, health technology assessments, and clinical guideline development. OBJECTIVES: We outline how resource utilization and cost-effectiveness analyses are integrated into health-related recommendations, using the GRADE Evidence to Decision (EtD) frameworks. STUDY DESIGN AND SETTING: Through iterative discussions and refinement, in-person, and online meetings, and through e-mail communication, we developed draft guidance to incorporate economic evidence in the formulation of health-related recommendations. We developed scenarios to operationalize the guidance. We presented a summary of the results to members of the GRADE Economic Evaluation Project Group. RESULTS: We describe how to estimate the cost of preventing (or achieving) an event to inform assessments of cost-effectiveness of alternative treatments, when there are no published economic evaluations. Evidence profiles and Summary of Findings tables based on systematic reviews of cost-effectiveness analyses can be created to provide top-level summaries of results and quality of multiple published economic evaluations. We also describe how this information could be integrated in GRADE's EtD frameworks to inform health-related recommendations. Three scenarios representing various levels of available cost-effectiveness evidence were used to illustrate the integration process. CONCLUSION: This GRADE guidance provides practical information for presenting cost-effectiveness data and its integration in the development of health-related recommendations, using the EtD frameworks.

Economic evaluations of non-communicable diseases conducted in Sub-Saharan Africa: a critical review of data sources.

BACKGROUND: Policymakers in sub-Saharan Africa (SSA) face challenging decisions regarding the allocation of health resources. Economic evaluations can help decision makers to determine which health interventions should be funded and or included in their benefits package. A major problem is whether the evaluations incorporated data from sources that are reliable and relevant to the country of interest. We aimed to review the quality of the data sources used in all published economic evaluations for cardiovascular disease and diabetes in SSA. METHODS: We systematically searched selected databases for all published economic evaluations for CVD and diabetes in SSA. We modified a hierarchy of data sources and used a reference case to measure the adherence to reporting and methodological characteristics, and descriptively analysed author statements. RESULTS: From 7,297 articles retrieved from the search, we selected 35 for study inclusion. Most were modelled evaluations and almost all focused on pharmacological interventions. The studies adhered to the reporting standards but were less adherent to the methodological standards. The quality of data sources varied. The quality level of evidence in the data domains of resource use and costs were generally considered of high quality, with studies often sourcing information from reliable databases within the same jurisdiction. The authors of most studies referred to data sources in the discussion section of the publications highlighting the challenges of obtaining good quality and locally relevant data. CONCLUSIONS: The data sources in some domains are considered high quality but there remains a need to make substantial improvements in the methodological adherence and overall quality of data sources to provide evidence that is sufficiently robust to support decision making in SSA within the context of UHC and health benefits plans. Many SSA governments will need to strengthen and build their capacity to conduct economic evaluations of interventions and health technology assessment for improved priority setting. This capacity building includes enhancing local infrastructures for routine data production and management. If many of the policy makers are using economic evaluations to guide resource allocation, it is imperative that the evidence used is of the feasibly highest quality.

Evaluation framework study assessing the role, applicability and adherence to good practice of planning support tools for allocation of development aid for health in low-income and middle-income countries.

OBJECTIVES: Allocation of development aid for health is controversial and challenging. In recent years, several planning-software tools have promised to help decision-makers align resource allocation with their objectives, more clearly connect prioritisation to evidence and local circumstances, and increase transparency and comparability. We aim to explore these tools to provide insight into their fitness for purpose and suggest future directions to fulfil that promise. DESIGN: We identified seven tools that met the inclusion criteria and developed an evaluation framework to compare them along two dimensions for assessing fitness for purpose: ability to produce analyses adhering to principles laid out in the International Decisions Support Initiative (iDSI) Reference Case for health economic evaluations; and resources required, including expertise and time. We extracted information from documentation and tool use and sent this information to tool developers for confirmation. RESULTS: We categorise the tools into evidence-generating ones, evidence-syntheses ones and process support ones. Tools' fitness for purpose varies by the context, technical capacity and time limitation. The tools adhere to several reference case principles but often not to all of them. The source and underlying assumptions of prepopulated data are often opaque. Comparing vertical interventions across diseases and health system strengthening ones remains challenging. CONCLUSIONS: The plethora of tools that aid priority setting in different ways is encouraging. Developers and users should place further emphasis on their ability to produce analyses that adhere to prioritisation principles. Opportunities for further development include using evidence-generating tools and multicriteria decision analysis approaches complimentarily. However, maintaining tool simplicity should also be considered to allow wider access.

Adaptive Health Technology Assessment: A Scoping Review of Methods.

OBJECTIVES: Health technology assessment (HTA) is an established mechanism for explicit priority setting to support universal health coverage. However, full HTA requires significant time, data, and capacity for each intervention, which limits the number of decisions it can inform. Another approach systematically adapts full HTA methods by leveraging HTA evidence from other settings. We call this "adaptive" HTA (aHTA), although in settings where time is the main constraint, it is also called "rapid HTA." METHODS: The objectives of this scoping review were to identify and map existing aHTA methods, and to assess their triggers, strengths, and weaknesses. This was done by searching HTA agencies' and networks' websites, and the published literature. Findings have been narratively synthesized. RESULTS: This review identified 20 countries and 1 HTA network with aHTA methods in the Americas, Europe, Africa, and South-East Asia. These methods have been characterized into 5 types: rapid reviews, rapid cost-effectiveness analyses, rapid manufacturer submissions, transfers, and de facto HTA. Three characteristics "trigger" the use of aHTA instead of full HTA: urgency, certainty, and low budget impact. Sometimes, an iterative approach to selecting methods guides whether to do aHTA or full HTA. aHTA was found to be faster and more efficient, useful for decision makers, and to reduce duplication. Nevertheless, there is limited standardization, transparency, and measurement of uncertainty. CONCLUSIONS: aHTA is used in many settings. It has potential to improve the efficiency of any priority-setting system, but needs to be better formalized to improve uptake, particularly for nascent HTA systems.

Assessing the impacts of COVID-19 vaccination programme's timing and speed on health benefits, cost-effectiveness, and relative affordability in 27 African countries.

BACKGROUND: The COVID-19 vaccine supply shortage in 2021 constrained roll-out efforts in Africa while populations experienced waves of epidemics. As supply improves, a key question is whether vaccination remains an impactful and cost-effective strategy given changes in the timing of implementation. METHODS: We assessed the impact of vaccination programme timing using an epidemiological and economic model. We fitted an age-specific dynamic transmission model to reported COVID-19 deaths in 27 African countries to approximate existing immunity resulting from infection before substantial vaccine roll-out. We then projected health outcomes (from symptomatic cases to overall disability-adjusted life years (DALYs) averted) for different programme start dates (01 January to 01 December 2021, n = 12) and roll-out rates (slow, medium, fast; 275, 826, and 2066 doses/million population-day, respectively) for viral vector and mRNA vaccines by the end of 2022. Roll-out rates used were derived from observed uptake trajectories in this region. Vaccination programmes were assumed to prioritise those above 60 years before other adults. We collected data on vaccine delivery costs, calculated incremental cost-effectiveness ratios (ICERs) compared to no vaccine use, and compared these ICERs to GDP per capita. We additionally calculated a relative affordability measure of vaccination programmes to assess potential nonmarginal budget impacts. RESULTS: Vaccination programmes with early start dates yielded the most health benefits and lowest ICERs compared to those with late starts. While producing the most health benefits, fast vaccine roll-out did not always result in the lowest ICERs. The highest marginal effectiveness within vaccination programmes was found among older adults. High country income groups, high proportions of populations over 60 years or non-susceptible at the start of vaccination programmes are associated with low ICERs relative to GDP per capita. Most vaccination programmes with small ICERs relative to GDP per capita were also relatively affordable. CONCLUSION: Although ICERs increased significantly as vaccination programmes were delayed, programmes starting late in 2021 may still generate low ICERs and manageable affordability measures. Looking forward, lower vaccine purchasing costs and vaccines with improved efficacies can help increase the economic value of COVID-19 vaccination programmes.

What, how and who: Cost-effectiveness analyses of COVID-19 vaccination to inform key policies in Nigeria.

While safe and efficacious COVID-19 vaccines have achieved high coverage in high-income settings, roll-out remains slow in sub-Saharan Africa. By April 2022, Nigeria, a country of over 200 million people, had only distributed 34 million doses. To ensure the optimal use of health resources, cost-effectiveness analyses can inform key policy questions in the health technology assessment process. We carried out several cost-effectiveness analyses exploring different COVID-19 vaccination scenarios in Nigeria. In consultation with Nigerian stakeholders, we addressed three key questions: what vaccines to buy, how to deliver them and what age groups to target. We combined an epidemiological model of virus transmission parameterised with Nigeria specific data with a costing model that incorporated local resource use assumptions and prices, both for vaccine delivery as well as costs associated with care and treatment of COVID-19. Scenarios of vaccination were compared with no vaccination. Incremental cost-effectiveness ratios were estimated in terms of costs per disability-adjusted life years averted and compared to commonly used cost-effectiveness ratios. Viral vector vaccines are cost-effective (or cost saving), particularly when targeting older adults. Despite higher efficacy, vaccines employing mRNA technologies are less cost-effective due to high current dose prices. The method of delivery of vaccines makes little difference to the cost-effectiveness of the vaccine. COVID-19 vaccines can be highly effective and cost-effective (as well as cost-saving), although an important determinant of the latter is the price per dose and the age groups prioritised for vaccination. From a health system perspective, viral vector vaccines may represent most cost-effective choices for Nigeria, although this may change with price negotiation.

International Partnerships to Develop Evidence-informed Priority Setting Institutions: Ten Years of Experience from the International Decision Support Initiative (iDSI).

All health systems must set priorities. Evidence-informed priority-setting (EIPS) is a specific form of systematic priority-setting which involves explicit consideration of evidence to determine the healthcare interventions to be provided. The international Decision Support Initiative (iDSI) was established in 2013 as a collaborative platform to catalyze faster progress on EIPS, particularly in low- and middle-income countries. This article summarizes the successes, challenges, and lessons learned from ten years of iDSI partnering with countries to develop EIPS institutions and processes. This is a thematic documentary analysis, structured by iDSI's theory of change, extracting successes, challenges, and lessons from three external evaluations and 19 internal reports to funders. We identified three phases of iDSI's work-inception (2013-15), scale-up (2016-2019), and focus on Africa (2019-2023). iDSI has established a global platform for coordinating EIPS, advanced the field, and supported regional networks in Asia and Africa. It has facilitated progress in securing high-level commitment to EIPS, strengthened EIPS institutions, and developed capacity for health technology assessments. This has resulted in improved decisions on service provision, procurement, and clinical care. Major lessons learned include the importance of sustained political will to develop EIPS; a clear EIPS mandate; inclusive governance structures appropriate to health financing context; politically sensitive and country-led support to EIPS, taking advantage of policy windows for EIPS reforms; regional networks for peer support and long-term sustainability; utilization of context appropriate methods such as adaptive HTA; and crucially, donor-funded global health initiatives supporting and integrating with national EIPS systems, not undermining them.

Health Technology Assessment in China's Health Care Sector: Development and Applications.

China's health system is facing severe challenges from social transition and the double burden of population aging and non-communicable diseases. Addressing the tension between the public's increasing demand for health services and the limited availability of medical resources has become a critical issue for health care policymakers and medical insurance fund administrators. In promoting its medical insurance system reform, China is actively developing health technology assessment (HTA) with principles and applications adapted to the Chinese context. This study aims to analyze the evolution of HTA in China with a focus on context, actors, process, content, and challenges encountered through applying a modified verson of Walt and Gilson's policy triangle framework. Currently, HTA plays an indispensable part in the reform of China's health care and medical insurance system, especially in the formulation and adjustment of the National Reimbursement Drug List (NRDL). While HTA is increasingly used in China, there remain challenges, such as the slow development of HTA related disciplines, lack of an independent national HTA authority, and limited scope in the use of HTA. Despite the identified challenges, HTA has the potential to support a wide range of applications in China's health care sector, building on the progress achieved over the last three decades.

The Use of Cost-Effectiveness Thresholds for Evaluating Health Interventions in Low- and Middle-Income Countries From 2015 to 2020: A Review.

OBJECTIVES: Evidence-informed priority setting, in particular cost-effectiveness analysis (CEA), can help target resources better to achieve universal health coverage. Central to the application of CEA is the use of a cost-effectiveness threshold. We add to the literature by looking at what thresholds have been used in published CEA and the proportion of interventions found to be cost-effective, by type of threshold. METHODS: We identified CEA studies in low- and middle-income countries from the Global Health Cost-Effectiveness Analysis Registry that were published between January 1, 2015, and January 6, 2020. We extracted data on the country of focus, type of interventions under consideration, funder, threshold used, and recommendations. RESULTS: A total of 230 studies with a total 713 interventions were included in this review; 1 to 3× gross domestic product (GDP) per capita was the most common type of threshold used in judging cost-effectiveness (84.3%). Approximately a third of studies (34.2%) using 1 to 3× GDP per capita applied a threshold at 3× GDP per capita. We have found that no study used locally developed thresholds. We found that 79.3% of interventions received a recommendation as "cost-effective" and that 85.9% of studies had at least 1 intervention that was considered cost-effective. The use of 1 to 3× GDP per capita led to a higher proportion of study interventions being judged as cost-effective compared with other types of thresholds. CONCLUSIONS: Despite the wide concerns about the use of 1 to 3× GDP per capita, this threshold is still widely used in the literature. Using this threshold leads to more interventions being recommended as "cost-effective." This study further explore alternatives to the 1 to 3× GDP as a decision rule.

Health technology assessment in sub-Saharan Africa: a descriptive analysis and narrative synthesis.

BACKGROUND: Countries in Sub-Saharan Africa (SSA) are moving towards universal health coverage. The process of Health Technology Assessment (HTA) can support decisions relating to benefit package design and service coverage. HTA involves institutional cooperation with agreed methods and procedural standards. We systematically reviewed the literature on policies and capacity building to support HTA institutionalisation in SSA. METHODS: We systematically reviewed the literature by searching major databases (PubMed, Embase, etc.) until June 2019 using terms considering three aspects: HTA; health policy, decision making; and SSA. We quantitatively extracted and descriptively analysed content and conducted a narrative synthesis eliciting themes from the selected literature, which varied in study type and apporach. RESULTS: Half of the 49 papers identified were primary research studies and mostly qualitative. Five countries were represented in six of ten studies; South Africa, Ghana, Uganda, Cameroon, and Ethiopia. Half of first authors were from SSA. Most informants were policy makers. Five themes emerged: (1) use of HTA; (2) decision-making in HTA; (3) values and criteria for setting priority areas in HTA; (4) involving stakeholders in HTA; and (5) specific examples of progress in HTA in SSA. The first one was the main theme where there was little use of evidence and research in making policy. The awareness of HTA and economic evaluation was low, with inadequate expertise and a lack of local data and tools. CONCLUSIONS: Despite growing interest in HTA in SSA countries, awareness remains low and HTA-related activities are uncoordinated and often disconnected from policy. Further training and skills development are needed, firmly linked to a strategy focusing on strengthening within-country partnerships, particularly among researchers and policy makers. The international community has an important role here by supporting policy- relevant technical assistance, highlighting that sustainable financing demands evidence-based processes for effective resource allocation, and catalysing knowledge-sharing opportunities among countries facing similar challenges.

Health technology assessment and priority setting for universal health coverage: a qualitative study of stakeholders' capacity, needs, policy areas of demand and perspectives in Nigeria.

INTRODUCTION: Health technology assessment (HTA) is an effective tool to support priority setting and generate evidence for decision making especially en route to achieving universal health coverage (UHC). We assessed the capacity needs, policy areas of demand, and perspectives of key stakeholders for evidence-informed decision making in Nigeria where HTA is still new. METHODS: We surveyed 31 participants including decision makers, policy makers, academic researchers, civil society organizations, community-based organizations, development partners, health professional organizations. We revised an existing survey to qualitatively examine the need, policy areas of demand, and perspectives of stakeholders on HTA. We then analyzed responses and explored key themes. RESULTS: Most respondents were associated with organizations that generated or facilitated health services research. Research institutes highlighted their ability to provide expertise and skills for HTA research but some respondents noted a lack of human capacity for HTA. HTA was considered an important and valuable priority-setting tool with a key role in the design of health benefits packages, clinical guideline development, and service improvement. Public health programs, medicines and vaccines were the three main technology types that would especially benefit from the application of HTA. The perceived availability and accessibility of suitable local data to support HTA varied widely but was mostly considered inadequate and limited. Respondents needed evidence on health system financing, health service provision, burden of disease and noted a need for training support in research methodology, HTA and data management. CONCLUSION: The use of HTA by policymakers and communities in Nigeria is very limited mainly due to inadequate and insufficient capacity to produce and use HTA. Developing sustainable and institutionalized HTA systems requires in-country expertise and active participation from a range of stakeholders. Stakeholder participation in identifying HTA topics and conducting relevant research will enhance the use of HTA evidence produced for decision making. Therefore, the identified training needs for HTA and possible research topics should be considered a priority in establishing HTA for evidence-informed policy making for achieving UHC particularly among the most vulnerable people in Nigeria.

What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana.

BACKGROUND: Evidence-based decision-making for prioritising health is assisted by health technology assessment (HTA) to integrate data on effectiveness, costs and equity to support transparent decisions. Ghana is moving towards universal health coverage, facilitated mainly by the National Health Insurance Scheme (NHIS) established in 2003. The Government of Ghana is committed to institutionalising HTA for priority-setting. We aimed to identify and describe the sources of accessible data to support HTA in Ghana. METHODS: We identified and described data sources encompassing six main domains using an existing framework. The domains were epidemiology, clinical efficacy, costs, health service use and consumption, quality of life, and equity. We used existing knowledge, views of stakeholders, and searches of the literature and internet. RESULTS: The data sources for each of the six domains vary in extent and quality. Ghana has several large data sources to support HTA (e.g. Demographic Health Surveys) that have rigorous quality assurance processes. Few accessible data sources were available for costs and resource utilisation. The NHIS is a potentially rich source of data on resource use and costs but there are some limits on access. There are some data on equity but data on quality of life are limited. CONCLUSIONS: A small number of quality data sources are available in Ghana but there are some gaps with respect to HTA based on greater use of local and contextualised information. Although more data are becoming available for monitoring, challenges remain in terms of their usefulness for HTA, and some information may not be available in disaggregated form to enable specific analyses. We support recent initiatives for the routine collection of comprehensive and reliable data that is easily accessible for HTA users. A commitment to HTA will require concerted efforts to leverage existing data sources, for example, from the NHIS, and develop and maintain new data (e.g. local health utility estimates). It will be critical that an overarching strategic and mandatory approach to the collection and use of health information is developed for Ghana in parallel to, and informed by, the development of HTA approaches to support resource allocation decisions. The key to HTA is to use the best available data while being open about its limitations and the impact on uncertainty.

Supporting the Development of Evidence-Informed Policy Options: An Economic Evaluation of Hypertension Management in Ghana.

OBJECTIVES: Universal healthcare coverage in low- and middle-income countries requires challenging resource allocation decisions. Health technology assessment is one important tool to support such decision making. The International Decision Support Initiative worked with the Ghanaian Ministry of Health to strengthen health technology assessment capacity building, identifying hypertension as a priority topic area for a relevant case study. METHODS: Based on guidance from a national technical working group of researchers and policy makers, an economic evaluation and budget impact analysis were undertaken for the main antihypertensive medicines used for uncomplicated, essential hypertension. The analysis aimed to address specific policy questions relevant to the National Health Insurance Scheme. RESULTS: The evaluation found that first-line management of essential hypertension with diuretics has an incremental cost per disability-adjusted life-year avoided of GH¢ 276 ($179 in 2017, 4% of gross national income per capita) compared with no treatment. Calcium channel blockers were more effective than diuretics but at a higher incremental cost: GH¢ 11 061 per disability-adjusted life-year avoided ($7189 in 2017; 160% of gross national income per capita). Diuretics provide better health outcomes at a lower cost than angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, or beta-blockers. Budget impact analysis highlighted the potential for cost saving through enhanced price negotiation and increased use of better-value drugs. We also illustrate how savings could be reinvested to improve population health. CONCLUSIONS: Economic evaluation enabled decision makers to assess hypertension medicines in a Ghanaian context and estimate the impact of using such evidence to change policy. This study contributes to addressing challenges associated with the drive for universal healthcare coverage in the context of constrained budgets.

What next after GDP-based cost-effectiveness thresholds?

Public payers around the world are increasingly using cost-effectiveness thresholds (CETs) to assess the value-for-money of an intervention and make coverage decisions. However, there is still much confusion about the meaning and uses of the CET, how it should be calculated, and what constitutes an adequate evidence base for its formulation. One widely referenced and used threshold in the last decade has been the 1-3 GDP per capita, which is often attributed to the Commission on Macroeconomics and  WHO guidelines on Choosing Interventions that are Cost Effective (WHO-CHOICE). For many reasons, however, this threshold has been widely criticised; which has led experts across the world, including the WHO, to discourage its use. This has left a vacuum for policy-makers and technical staff at a time when countries are wanting to move towards Universal Health Coverage . This article seeks to address this gap by offering five practical options for decision-makers in low- and middle-income countries that can be used instead of the 1-3 GDP rule, to combine existing evidence with fair decision-rules or develop locally relevant CETs. It builds on existing literature as well as an engagement with a group of experts and decision-makers working in low, middle and high income countries.