Community health workers to improve adherence to anti-seizure medication in rural South Africa: Is it cost-effective?

OBJECTIVE: Epilepsy is a common, chronic neurological disorder that disproportionately affects individuals living in low- and middle-income countries (LMICs), where the treatment gap remains high and adherence to medication remains low. Community health workers (CHWs) have been shown to be effective at improving adherence to chronic medications, yet no study assessing the costs of CHWs in epilepsy management has been reported. METHODS: Using a Markov model with age- and sex-varying transition probabilities, we determined whether deploying CHWs to improve epilepsy treatment adherence in rural South Africa would be cost-effective. Data were derived using published studies from rural South Africa. Official statistics and international disability weights provided cost and health state values, respectively, and health gains were measured using quality adjusted life years (QALYs). RESULTS: The intervention was estimated at International Dollars ($) 123 250 per annum per sub-district community and cost $1494 and $1857 per QALY gained for males and females, respectively. Assuming a costlier intervention and lower effectiveness, cost per QALY was still less than South Africa's Gross Domestic Product per capita of $13 215, the cost-effectiveness threshold applied. SIGNIFICANCE: CHWs would be cost-effective and the intervention dominated even when costs and effects of the intervention were unfavorably varied. Health system re-engineering currently underway in South Africa identifies CHWs as vital links in primary health care, thereby ensuring sustainability of the intervention. Further research on understanding local health state utility values and cost-effectiveness thresholds could further inform the current model, and undertaking the proposed intervention would provide better estimates of its efficacy on reducing the epilepsy treatment gap in rural South Africa.

Contextualization of cost-effectiveness evidence from literature for 382 health interventions for the Ethiopian essential health services package revision.

BACKGROUND: Cost-effectiveness of interventions was a criterion decided to guide priority setting in the latest revision of Ethiopia's essential health services package (EHSP) in 2019. However, conducting an economic evaluation study for a broad set of health interventions simultaneously is challenging in terms of cost, timeliness, input data demanded, and analytic competency. Therefore, this study aimed to synthesize and contextualize cost-effectiveness evidence for the Ethiopian EHSP interventions from the literature. METHODS: The evidence synthesis was conducted in five key steps: search, screen, evaluate, extract, and contextualize. We searched MEDLINE and EMBASE research databases for peer-reviewed published articles to identify average cost-effectiveness ratios (ACERs). Only studies reporting cost per disability-adjusted life year (DALY), quality-adjusted life year (QALY), or life years gained (LYG) were included. All the articles were evaluated using the Drummond checklist for quality, and those with a score of at least 7 out of 10 were included. Information on cost, effectiveness, and ACER was extracted. All the ACERs were converted into 2019 US dollars using appropriate exchange rates and the GDP deflator. RESULTS: In this study, we synthesized ACERs for 382 interventions from seven major program areas, ranging from US$3 per DALY averted (for the provision of hepatitis B vaccination at birth) to US$242,880 per DALY averted (for late-stage liver cancer treatment). Overall, 56% of the interventions have an ACER of less than US$1000 per DALY, and 80% of the interventions have an ACER of less than US$10,000 per DALY. CONCLUSION: We conclude that it is possible to identify relevant economic evaluations using evidence from the literature, even if transferability remains a challenge. The present study identified several cost-effective candidate interventions that could, if scaled up, substantially reduce Ethiopia's disease burden.

Generalised cost-effectiveness analysis of 159 health interventions for the Ethiopian essential health service package.

BACKGROUND: Cost effectiveness was a criterion used to revise Ethiopia's essential health service package (EHSP) in 2019. However, there are few cost-effectiveness studies from Ethiopia or directly transferable evidence from other low-income countries to inform a comprehensive revision of the Ethiopian EHSP. Therefore, this paper reports average cost-effectiveness ratios (ACERs) of 159 health interventions used in the revision of Ethiopia's EHSP. METHODS: In this study, we estimate ACERs for 77 interventions on reproductive maternal neonatal and child health (RMNCH), infectious diseases and water sanitation and hygiene as well as for 82 interventions on non-communicable diseases. We used the standardised World Health Organization (WHO) CHOosing Interventions that are cost effective methodology (CHOICE) for generalised cost-effectiveness analysis. The health benefits of interventions were determined using a population state-transition model, which simulates the Ethiopian population, accounting for births, deaths and disease epidemiology. Healthy life years (HLYs) gained was employed as a measure of health benefits. We estimated the economic costs of interventions from the health system perspective, including programme overhead and training costs. We used the Spectrum generalised cost-effectiveness analysis tool for data analysis. We did not explicitly apply cost-effectiveness thresholds, but we used US$100 and $1000 as references to summarise and present the ACER results. RESULTS: We found ACERs ranging from less than US$1 per HLY gained (for family planning) to about US$48,000 per HLY gained (for treatment of stage 4 colorectal cancer). In general, 75% of the interventions evaluated had ACERs of less than US$1000 per HLY gained. The vast majority (95%) of RMNCH and infectious disease interventions had an ACER of less than US$1000 per HLY while almost half (44%) of non-communicable disease interventions had an ACER greater than US$1000 per HLY. CONCLUSION: The present study shows that several potential cost-effective interventions are available that could substantially reduce Ethiopia's disease burden if scaled up. The use of the World Health Organization's generalised cost-effectiveness analysis tool allowed us to rapidly calculate country-specific cost-effectiveness analysis values for 159 health interventions under consideration for Ethiopia's EHSP.

Investing in non-communicable disease prevention and management to advance the Sustainable Development Goals.

Reduction of the non-communicable disease (NCD) burden is a global development imperative. Sustainable Development Goal (SDG) 3 includes target 3·4 to reduce premature NCD mortality by a third by 2030. Progress on SDG target 3·4 will have a central role in determining the success of at least nine SDGs. A strengthened effort across multiple sectors with effective economic tools, such as price policies and insurance, is necessary. NCDs are heavily clustered in people with low socioeconomic status and are an important cause of medical impoverishment. They thereby exacerbate economic inequities within societies. As such, NCDs are a barrier to achieving SDG 1, SDG 2, SDG 4, SDG 5, and SDG 10. Productivity gains from preventing and managing NCDs will contribute to SDG 8. SDG 11 and SDG 12 offer clear opportunities to reduce the NCD burden and to create sustainable and healthy cities.

Investing in non-communicable diseases: an estimation of the return on investment for prevention and treatment services.

The global burden of non-communicable diseases (NCDs) is growing, and there is an urgent need to estimate the costs and benefits of an investment strategy to prevent and control NCDs. Results from an investment-case analysis can provide important new evidence to inform decision making by governments and donors. We propose a methodology for calculating the economic benefits of investing in NCDs during the Sustainable Development Goals (SDGs) era, and we applied this methodology to cardiovascular disease prevention in 20 countries with the highest NCD burden. For a limited set of prevention interventions, we estimated that US$120 billion must be invested in these countries between 2015 and 2030. This investment represents an additional $1·50 per capita per year and would avert 15 million deaths, 8 million incidents of ischaemic heart disease, and 13 million incidents of stroke in the 20 countries. Benefit-cost ratios varied between interventions and country-income levels, with an average ratio of 5·6 for economic returns but a ratio of 10·9 if social returns are included. Investing in cardiovascular disease prevention is integral to achieving SDG target 3.4 (reducing premature mortality from NCDs by a third) and to progress towards SDG target 3.8 (the realisation of universal health coverage). Many countries have implemented cost-effective interventions at low levels, so the potential to achieve these targets and strengthen national income by scaling up these interventions is enormous.

Global health worker salary estimates: an econometric analysis of global earnings data.

BACKGROUND: Human resources are consistently cited as a leading contributor to health care costs; however the availability of internationally comparable data on health worker earnings for all countries is a challenge for estimating the costs of health care services. This paper describes an econometric model using cross sectional earnings data from the International Labour Organization (ILO) that the World Health Organizations (WHO)-Choosing Interventions that are Cost-effective programme (CHOICE) has used to prepare estimates of health worker earnings (in 2010 USD) for all WHO member states. METHODS: The ILO data contained 324 observations of earnings data across 4 skill levels for 193 countries. Using this data, along with the assumption that data were missing not at random, we used a Heckman two stage selection model to estimate earning data for each of the 4 skill levels for all WHO member states. RESULTS: It was possible to develop a prediction model for health worker earnings for all countries for which GDP data was available. Health worker earnings vary both within country due to skill level, as well as across countries. As a multiple of GDP per capita, earnings show a negative correlation with GDP-that is lower income countries pay their health workers relatively more than higher income countries. CONCLUSIONS: Limited data on health worker earnings is a limiting factor in estimating the costs of global health programmes. It is hoped that these estimates will support robust health care intervention costings and projections of resources needs over the Sustainable Development Goal period.

Disease control programme support costs: an update of WHO-CHOICE methodology, price databases and quantity assumptions.

BACKGROUND: Estimating health care costs, either in the context of understanding resource utilization in the implementation of a health plan, or in the context of economic evaluation, has become a common activity of health planners, health technology assessment agencies and academic groups. However, data sources for costs outside of direct service delivery are often scarce. WHO-CHOICE produces global price databases and guidance on quantity assumptions to support country level costing exercises. This paper presents updates to the WHO-CHOICE methodology and price databases for programme costs. METHODS: We collated publicly available databases for 14 non-traded cost variables, as well as a set of traded items used within health systems (traded goods are those which can be purchased from anywhere in the world, whereas non-traded goods are those which must be produced locally, such as human resources). Within each of the variables, missing data was present for some proportion of the WHO member states. For each variables statistical or econometric models were used to model prices for each of the 194 WHO member states in 2010 International Dollars. Literature reviews were used to update quantity assumptions associated with each variable to contribute to the support costs of disease control programmes. RESULTS: A full database of prices for disease control programme support costs is available for country-specific costing purposes. Human resources are the largest driver of disease control programme support costs, followed by supervision costs. CONCLUSIONS: Despite major advances in the availability of data since the previous version of this work, there are still some limitations in data availability to respond to the needs of those wishing to develop cost and cost-effectiveness estimates. Greater attention to programme support costs in cost data collection activities would contribute to an understanding of how these costs contribute to quality of health service delivery and should be encouraged.

Cost-effectiveness thresholds: pros and cons.

Cost-effectiveness analysis is used to compare the costs and outcomes of alternative policy options. Each resulting cost-effectiveness ratio represents the magnitude of additional health gained per additional unit of resources spent. Cost-effectiveness thresholds allow cost-effectiveness ratios that represent good or very good value for money to be identified. In 2001, the World Health Organization's Commission on Macroeconomics in Health suggested cost-effectiveness thresholds based on multiples of a country's per-capita gross domestic product (GDP). In some contexts, in choosing which health interventions to fund and which not to fund, these thresholds have been used as decision rules. However, experience with the use of such GDP-based thresholds in decision-making processes at country level shows them to lack country specificity and this - in addition to uncertainty in the modelled cost-effectiveness ratios - can lead to the wrong decision on how to spend health-care resources. Cost-effectiveness information should be used alongside other considerations - e.g. budget impact and feasibility considerations - in a transparent decision-making process, rather than in isolation based on a single threshold value. Although cost-effectiveness ratios are undoubtedly informative in assessing value for money, countries should be encouraged to develop a context-specific process for decision-making that is supported by legislation, has stakeholder buy-in, for example the involvement of civil society organizations and patient groups, and is transparent, consistent and fair.

Les analyses de rentabilité permettent de comparer les coûts et les résultats de différentes options politiques. Chaque ratio coût-efficacité qui en découle indique l'importance des avantages supplémentaires pour la santé par unité supplémentaire de ressources dépensée. Les seuils de rentabilité permettent de déterminer les ratios coût-efficacité qui représentent une bonne ou une très bonne rentabilité. En 2001, la Commission macroéconomie et santé de l'Organisation mondiale de la Santé a suggéré des seuils de rentabilité définis d'après des multiples du produit intérieur brut (PIB) par habitant d'un pays. Dans certains pays, ces seuils ont servi de règles pour décider quelles interventions financer ou non. Cependant, l'expérience d'utilisation de ces seuils fondés sur le PIB dans les processus décisionnels des pays montre qu'ils ne tiennent pas compte des spécificités des pays; cela, ajouté à une certaine incertitude concernant la modélisation des ratios coût-efficacité, peut entraîner la prise de mauvaises décisions quant à l'utilisation des ressources sanitaires. Les informations sur la rentabilité des interventions devraient être prises en compte parallèlement à d'autres considérations, comme l'impact budgétaire et la faisabilité, dans le cadre d'un processus décisionnel transparent et non de façon isolée sur la base d'une seule valeur seuil. Bien que le caractère informatif des ratios coût-efficacité soit indéniable lorsqu'il s'agit d'évaluer la rentabilité des interventions, les pays devraient être encouragés à développer un processus de prise de décision spécifique au contexte, qui soit encadré par la législation et qui ait l'adhésion des parties intéressées, avec par exemple l'implication d'organisations de la société civile et de groupes de patients, et qui soit transparent, cohérent et équitable.

El análisis de rentabilidad se utiliza para comparar los costes y resultados de opciones políticas alternativas. Cada relación de rentabilidad resultante representa la magnitud de sanidad adicional obtenida por unidad adicional de recursos utilizados. Los umbrales de rentabilidad permiten la identificación de las relaciones de rentabilidad que representan un valor bueno o muy bueno del capital. En 2001, los umbrales de rentabilidad propuestos por la Comisión sobre Macroeconomía y Salud de la Organización Mundial de la Salud se basaron en múltiplos del producto interior bruto (PIB) per cápita de un país. En algunos contextos, se han utilizado estos umbrales para decidir qué intervenciones sanitarias financiar y cuáles no. No obstante, la experiencia con el uso de dichos umbrales basados en el PIB en los procesos de toma de decisiones a nivel nacional muestra la ausencia de especificidad según el país. Esto, además de la incertidumbre de las relaciones de rentabilidad modelo, puede dar lugar a una toma de decisiones equivocada sobre cómo emplear los recursos sanitarios. La información relativa a la rentabilidad debería utilizarse teniendo en cuenta otros factores (por ejemplo, el impacto presupuestario y aspectos de viabilidad) en un proceso transparente de toma de decisiones, en lugar de únicamente teniendo como referencia un solo valor del umbral. A pesar de que las relaciones de rentabilidad son indudablemente esclarecedoras a la hora de evaluar el valor del capital, es necesario fomentar que los países desarrollen un proceso específico del contexto apoyado por la legislación para tomar decisiones, como, por ejemplo, si las partes interesadas han aceptado la implicación de las organizaciones de la sociedad civil y grupos de pacientes y si es transparente, coherente y justa.

Burden of stroke attributable to selected lifestyle risk factors in rural South Africa.

BACKGROUND: Rural South Africa (SA) is undergoing a rapid health transition characterized by increases in non-communicable diseases; stroke in particular. Knowledge of the relative contribution of modifiable risk factors on disease occurrence is needed for public health prevention efforts and community-oriented health promotion. Our aim was to estimate the burden of stroke in rural SA that is attributable to high blood pressure, excess weight and high blood glucose using World Health Organization's comparative risk assessment (CRA) framework. METHODS: We estimated current exposure distributions of the risk factors in rural SA using 2010 data from the Agincourt health and demographic surveillance system (HDSS). Relative risks of stroke per unit of exposure were obtained from the Global Burden of Disease Study 2010. We used data from the Agincourt HDSS to estimate age-, sex-, and stroke specific deaths and disability adjusted life years (DALYs). We estimated the proportion of the years of life lost (YLL) and DALY loss attributable to the risk factors and incorporate uncertainty intervals into these estimates. RESULTS: Overall, 38 % of the documented stroke burden was due to high blood pressure (12 % males; 26 % females). This translated to 520 YLL per year (95 % CI: 325-678) and 540 DALYs (CI: 343-717). Excess Body Mass Index (BMI) was calculated as responsible for 20 % of the stroke burden (3.5 % males; 16 % females). This translated to 260 YLLs (CI: 199-330) and 277 DALYs (CI: 211-350). Burden was disproportionately higher in young females when BMI was assessed. CONCLUSIONS: High blood pressure and excess weight, which both have effective interventions, are responsible for a significant proportion of the stroke burden in rural SA; the burden varies across age and sex sub-groups. The most effective way forward to reduce the stroke burden requires both population wide policies that have an impact across the age spectra and targeted (health promotion/disease prevention) interventions on women and young people.

Health care utilization and outpatient, out-of-pocket costs for active convulsive epilepsy in rural northeastern South Africa: a cross-sectional Survey.

BACKGROUND: Epilepsy is a common neurological disorder, with over 80 % of cases found in low- and middle-income countries (LMICs). Studies from high-income countries find a significant economic burden associated with epilepsy, yet few studies from LMICs, where out-of-pocket costs for general healthcare can be substantial, have assessed out-of-pocket costs and health care utilization for outpatient epilepsy care. METHODS: Within an established health and socio-demographic surveillance system in rural South Africa, a questionnaire to assess self-reported health care utilization and time spent traveling to and waiting to be seen at health facilities was administered to 250 individuals, previously diagnosed with active convulsive epilepsy. Epilepsy patients' out-of-pocket, medical and non-medical costs and frequency of outpatient care visits during the previous 12-months were determined. RESULTS: Within the last year, 132 (53 %) individuals reported consulting at a clinic, 162 (65 %) at a hospital and 34 (14 %) with traditional healers for epilepsy care. Sixty-seven percent of individuals reported previously consulting with both biomedical caregivers and traditional healers. Direct outpatient, median costs per visit varied significantly (p < 0.001) between hospital (2010 International dollar ($) 9.08; IQR: $6.41-$12.83) and clinic consultations ($1.74; IQR: $0-$5.58). Traditional healer fees per visit were found to cost $52.36 (IQR: $34.90-$87.26) per visit. Average annual outpatient, clinic and hospital out-of-pocket costs totaled $58.41. Traveling to and from and waiting to be seen by the caregiver at the hospital took significantly longer than at the clinic. CONCLUSIONS: Rural South Africans with epilepsy consult with both biomedical caregivers and traditional healers for both epilepsy and non-epilepsy care. Traditional healers were the most expensive mode of care, though utilized less often. While higher out-of-pocket costs were incurred at hospital visits, more people with ACE visited hospitals than clinics for epilepsy care. Promoting increased use and effective care at clinics and reducing travel and waiting times could substantially reduce the out-of-pocket costs of outpatient epilepsy care.

Disease burden of stroke in rural South Africa: an estimate of incidence, mortality and disability adjusted life years.

BACKGROUND: In the context of an epidemiologic transition in South Africa, in which cardiovascular disease is increasing, little is known about the stroke burden, particularly morbidity in rural populations. Risk factors for stroke are high, with hypertension prevalence of more than 50%. Accurate, up-to-date information on disease burden is essential in planning health services for stroke management. This study estimates the burden of stroke in rural South Africa using the epidemiological parameters of incidence, mortality and disability adjusted life year (DALY) metric, a time-based measure that incorporates both mortality and morbidity. METHODS: Data from the Agincourt health and socio-demographic surveillance system was utilised to calculate stroke mortality for the period 2007-2011. Dismod, an incidence-prevalence-mortality model, was used to estimate incidence and duration of disability in Agincourt sub-district and 'mostly rural' municipalities of South Africa. Using these values, burden of disease in years of life lost (YLL), years lived with disability (YLD) and DALYs was calculated for Agincourt sub-district. RESULTS: Over 5 years, there were an estimated 842 incident cases of stroke in Agincourt sub-district, a crude stroke incidence rate of 244 per 100,000 person years. We estimate that 1,070 DALYs are lost due to stroke yearly. Of this, YLDs contributed 8.7% (3.5 - 10.5%) in sensitivity analysis). Crude stroke mortality was 114 per 100,000 person-years in 2007-11 in Agincourt sub-district. Burden of stroke in entire rural South Africa, a population of some 13,000,000 people, was high, with an estimated 33, 500 strokes occurring in 2011. CONCLUSIONS: This study provides the first estimates of stroke burden in terms of incidence, and disability in rural South Africa. High YLL and DALYs lost amongst the rural populations demand urgent measures for preventing and mitigating impacts of stroke. Longitudinal surveillance sites provide a platform through which a changing stroke burden can be monitored in rural South Africa.

Burden of epilepsy in rural Kenya measured in disability-adjusted life years.

OBJECTIVES: The burden of epilepsy, in terms of both morbidity and mortality, is likely to vary depending on the etiology (primary [genetic/unknown] vs. secondary [structural/metabolic]) and with the use of antiepileptic drugs (AEDs). We estimated the disability-adjusted life years (DALYs) and modeled the remission rates of active convulsive epilepsy (ACE) using epidemiologic data collected over the last decade in rural Kilifi, Kenya. METHODS: We used measures of prevalence, incidence, and mortality to model the remission of epilepsy using disease-modeling software (DisMod II). DALYs were calculated as the sum of Years Lost to Disability (YLD) and Years of Life Lost (YLL) due to premature death using the prevalence approach, with disability weights (DWs) from the 2010 Global Burden of Disease (GBD) study. DALYs were calculated with R statistical software with the associated uncertainty intervals (UIs) computed by bootstrapping. RESULTS: A total of 1,005 (95% UI 797-1,213) DALYs were lost to ACE, which is 433 (95% UI 393-469) DALYs lost per 100,000 people. Twenty-six percent (113/100,000/year, 95% UI 106-117) of the DALYs were due to YLD and 74% (320/100,000/year, 95% UI 248-416) to YLL. Primary epilepsy accounted for fewer DALYs than secondary epilepsy (98 vs. 334 DALYs per 100,000 people). Those taking AEDs contributed fewer DALYs than those not taking AEDs (167 vs. 266 DALYs per 100,000 people). The proportion of people with ACE in remission per year was estimated at 11.0% in males and 12.0% in females, with highest rates in the 0-5 year age group. SIGNIFICANCE: The DALYs for ACE are high in rural Kenya, but less than the estimates of 2010 GBD study. Three-fourths of DALYs resulted from secondary epilepsy. Use of AEDs was associated with 40% reduction of DALYs. Improving adherence to AEDs may reduce the burden of epilepsy in this area.

Applying a private sector capitation model to the management of type 2 diabetes in the South African public sector: a cost-effectiveness analysis.

BACKGROUND: Diabetes mellitus contributes substantially to the non-communicable disease burden in South Africa. The proposed National Health Insurance system provides an opportunity to consider the development of a cost-effective capitation model of care for patients with type 2 diabetes. The objective of the study was to determine the potential cost-effectiveness of adapting a private sector diabetes management programme (DMP) to the South African public sector. METHODS: Cost-effectiveness analysis was undertaken with a public sector model of the DMP as the intervention and a usual practice model as the comparator. Probabilistic modelling was utilized for incremental cost-effectiveness ratio analysis with life years gained selected as the outcome. Secondary data were used to design the model while cost information was obtained from various sources, taking into account public sector billing. RESULTS: Modelling found an incremental cost-effectiveness ratio (ICER) of ZAR 8 356 (USD 1018) per life year gained (LYG) for the DMP against the usual practice model. This fell substantially below the Willingness-to-Pay threshold with bootstrapping analysis. Furthermore, a national implementation of the intervention could potentially result in an estimated cumulative gain of 96 997 years of life (95% CI 71 073 years - 113 994 years). CONCLUSIONS: Probabilistic modelling found the capitation intervention to be cost-effective, with an ICER of ZAR 8 356 (USD 1018) per LYG. Piloting the service within the public sector is recommended as an initial step, as this would provide data for more accurate economic evaluation, and would also allow for qualitative analysis of the programme.

Evidence that a tax on sugar sweetened beverages reduces the obesity rate: a meta-analysis.

BACKGROUND: Excess intake of sugar sweetened beverages (SSBs) has been shown to result in weight gain. To address the growing epidemic of obesity, one option is to combine programmes that target individual behaviour change with a fiscal policy such as excise tax on SSBs. This study evaluates the literature on SSB taxes or price increases, and their potential impact on consumption levels, obesity, overweight and body mass index (BMI). The possibility of switching to alternative drinks is also considered. METHODS: The following databases were used: Pubmed/Medline, The Cochrane Database of Systematic Reviews, Google Scholar, Econlit, National Bureau of Economics Research (NBER), Research Papers in Economics (RePEc). Articles published between January 2000 and January 2013, which reported changes in diet or BMI, overweight and/or obesity due to a tax on, or price change of, SSBs were included. RESULTS: Nine articles met the criteria for the meta-analysis. Six were from the USA and one each from Mexico, Brazil and France. All showed negative own-price elasticity, which means that higher prices are associated with a lower demand for SSBs. Pooled own price-elasticity was -1.299 (95% CI: -1.089 - -1.509). Four articles reported cross-price elasticities, three from the USA and one from Mexico; higher prices for SSBs were associated with an increased demand for alternative beverages such as fruit juice (0.388, 95% CI: 0.009 - 0.767) and milk (0.129, 95% CI: -0.085 - 0.342), and a reduced demand for diet drinks (-0.423, 95% CI: -0.628 - -1.219). Six articles from the USA showed that a higher price could also lead to a decrease in BMI, and decrease the prevalence of overweight and obesity. CONCLUSIONS: Taxing SSBs may reduce obesity. Future research should estimate price elasticities in low- and middle-income countries and identify potential health gains and the wider impact on jobs, monetary savings to the health sector, implementation costs and government revenue. Context-specific cost-effectiveness studies would allow policy makers to weigh these factors.

Cost-effectiveness analysis of infant feeding strategies to prevent mother-to-child transmission of HIV in South Africa.

Despite increasing availability of perinatal interventions to prevent mother-to-child transmission (MTCT) of HIV in South Africa, MTCT remains high due to breastfeeding. To inform policy decisions in the country, cost-effectiveness of alternative infant-feeding interventions was conducted. Mathematical modelling was used to simulate post-natal transmission and mortality due to infant feeding in a hypothetical cohort of 1 000 HIV-exposed infants. Lifetime costs to the health system were calculated for each strategy. Interventions compared with current practice were: increasing coverage of extended nevirapine prophylaxis (ENP) to infants from 30% (base case) to 60% without changing current feeding practices; actively supporting breastfeeding with ENP to infants for 12 months; and actively supporting exclusive formula (replacement) feeding for 6 months. HIV-free survival at 24 months and disability-adjusted life years (DALYs) averted were estimated for typical rural and certain urban settings. Base-case analysis revealed that expanding coverage of nevirapine prophylaxis with breastfeeding is cost-saving and improves HIV-free survival. Changing feeding practices is beneficial, depending on context. Breastfeeding is dominant (less costly, more effective) in rural settings, whilst formula feeding is a dominant strategy in urban settings. Cost-effectiveness was most sensitive to proportion of women on lifelong antiretroviral therapy (ART) and infant mortality rate (IMR). When >55% of women are on ART, breastfeeding dominates in the urban settings modelled, whilst formula feeding is cost-effective in rural settings when IMR ≤ 45/1000. The study concludes that strategies to support breastfeeding are essential. Strengthening health systems is critical to ensure optimal nevirapine delivery during breastfeeding. A case can be made for formula feeding or breastfeeding in HIV-infected women in specific contexts.

Building implementable packages for universal health coverage.

Since no country or health system can provide every possible health service to everyone who might benefit, the prioritisation of a defined subset of services for universal availability is intrinsic to universal health coverage (UHC). Creating a package of priority services for UHC, however, does not in itself benefit a population-packages have impact only through implementation. There are inherent tensions between the way services are formulated to facilitate criteria-driven prioritisation and the formulations that facilitate implementation, and service delivery considerations are rarely well incorporated into package development. Countries face substantial challenges bridging from a list of services in a package to the elements needed to get services to people. The failure to incorporate delivery considerations already at the prioritisation and design stage can result in packages that undermine the goals that countries have for service delivery. Based on a range of country experiences, we discuss specific choices about package structure and content and summarise some ideas on how to build more implementable packages of services for UHC, arguing that well-designed packages can support countries to bridge effectively from intent to implementation.

The impact of diabetes prevention on labour force participation and income of older Australians: an economic study.

BACKGROUND: Globally, diabetes is estimated to affect 246 million people and is increasing. In Australia diabetes has been made a national health priority. While the direct costs of treating diabetes are substantial, and rising, the indirect costs are considered greater. There is evidence that interventions to prevent diabetes are effective, and cost-effective, but the impact on labour force participation and income has not been assessed. In this study we quantify the potential impact of implementing a diabetes prevention program, using screening and either metformin or a lifestyle intervention on individual economic outcomes of pre-diabetic Australians aged 45-64. METHODS: The output of an epidemiological microsimulation model of the reduction in prevalence of diabetes from a lifestyle or metformin intervention, and another microsimulation model, Health&WealthMOD, of health and the associated impacts on labour force participation, personal income, savings, government revenue and expenditure were used to quantify the estimated outcomes of the two interventions. RESULTS: An additional 753 person years in the labour force would have been achieved from 1993 to 2003 for the male cohort aged 60-64 years in 2003, if a lifestyle intervention had been introduced in 1983; with 890 person years for the equivalent female group. The impact on labour force participation was lower for the metformin intervention, and increased with age for both interventions. The male cohort aged 60-64 years in 2003 would have earned an additional $30 million in income with the metformin intervention, and the equivalent female cohort would have earned an additional $25 million. If the lifestyle intervention was introduced, the same male and female cohorts would have earned an additional $34 million and $28 million respectively from 1993 to 2003. For the individuals involved, on average, males would have earned an additional $44,600 per year and females an additional $31,800 per year, if they had continued to work as a result of preventing diabetes. CONCLUSIONS: In addition to improved health and wellbeing, considerable benefits to individuals, in terms of both additional working years and increased personal income, could be made by introducing either a lifestyle or metformin intervention to prevent diabetes.

Global return on investment and cost-effectiveness of WHO's HEAR interventions for hearing loss: a modelling study.

BACKGROUND: To address the growing prevalence of hearing loss, WHO has identified a compendium of key evidence-based ear and hearing care interventions to be included within countries' universal health coverage packages. To assess the cost-effectiveness of these interventions and their budgetary effect for countries, we aimed to analyse the investment required to scale up services from baseline to recommended levels, and the return to society for every US$1 invested in the compendium. METHODS: We did a modelling study using the proposed set of WHO interventions (summarised under the acronym HEAR: hearing screening and intervention for newborn babies and infants, pre-school and school-age children, older adults, and adults at higher risk of hearing loss; ear disease prevention and management; access to technologies such as hearing aids, cochlear implants, or hearing assistive technologies; and rehabilitation service provision), which span the life course and include screening and management of hearing loss and related ear diseases, costs and benefits for the national population cohorts of 172 countries. The return on investment was analysed for the period between 2020 and 2030 using three scenarios: a business-as-usual scenario, a progress scenario with a scale-up to 50% of recommended coverage, and an ambitious scenario with scale-up to 90% of recommended coverage. Using data for hearing loss burden from the Global Burden of Disease Study 2019, a transition model with three states (general population, diagnosed, and those who have died) was developed to model the national populations in countries. For the return-on-investment analysis, the monetary value of disability-adjusted life-years (DALYs) averted in addition to productivity gains were compared against the investment required in each scenario. FINDINGS: Scaling up ear and hearing care interventions to 90% requires an overall global investment of US$238·8 billion over 10 years. Over a 10-year period, this investment promises substantial health gains with more than 130 million DALYs averted. These gains translate to a monetary value of more than US$1·3 trillion. In addition, investment in hearing care will result in productivity benefits of more than US$2 trillion at the global level by 2030. Together, these benefits correspond to a return of nearly US$15 for every US$1 invested. INTERPRETATION: This is the first-ever global investment case for integrating ear and hearing care interventions in countries' universal health coverage services. The findings show the economic benefits of investing in this compendium and provide the basis for facilitating the increase of country's health budget for strengthening ear and hearing care services. FUNDING: None.

Introduction to the Special Issue on "The World Health Organization Choosing Interventions That Are Cost-Effective (WHO-CHOICE) Update".

The WHO-CHOICE (World Health Organization CHOosing Interventions that are Cost-Effective) approach is unique in the global health landscape, as it takes a "generalized" approach to cost-effectiveness analysis (CEA) that can be seen as a quantitative assessment of current and future efficiency within a health system. CEA is a critical contribution to the process of priority setting and decision-making in healthcare, contributing to deliberative dialogue processes to select services to be funded. WHO-CHOICE provides regional level estimates of cost-effectiveness, along with tools to support country level analyses. This series provides an update to the methodological approach used in WHO-CHOICE and presents updated cost-effectiveness estimates for 479 interventions. Five papers are presented, the first focusing on methodological updates, followed by three results papers on maternal, newborn and child health; HIV, tuberculosis and malaria; and non-communicable diseases and mental health. The final paper presents a set of example universal health coverage (UHC) benefit packages selected through only a value for money lens, showing that all disease areas have interventions which can fall on the efficiency frontier. Critical for all countries is institutionalizing decision-making processes. A UHC benefit package should not be static, as the countries needs and ability to pay change over time. Decisions will need to be continually revised and new interventions added to health benefit packages. This is a vital component of progressive realization, as the package is expanded over time. Developing an institutionalized process ensures this can be done consistently, fairly, and transparently, to ensure an equitable path to UHC.

Cost-Effectiveness of Interventions to Improve Maternal, Newborn and Child Health Outcomes: A WHO-CHOICE Analysis for Eastern Sub-Saharan Africa and South-East Asia.

BACKGROUND: Information on cost-effectiveness allows policy-makers to evaluate if they are using currently available resources effectively and efficiently. Our objective is to examine the cost-effectiveness of health interventions to improve maternal, newborn and child health (MNCH) outcomes, to provide global evidence relative to the context of two geographic regions. METHODS: We consider interventions across the life course from adolescence to pregnancy and for children up to 5 years old. Interventions included are those that fall within the areas of immunization, child healthcare, nutrition, reproductive health, and maternal/newborn health, and for which it is possible to model impact on MNCH mortality outcomes using the Lives Saved Tool (LiST). Generalized cost-effectiveness analysis (GCEA) was used to derive average cost-effectiveness ratios (ACERs) for individual interventions and combinations (packages). Costs were assessed from the health system perspective and reported in international dollars. Health outcomes were estimated and reported as the gain in healthy life years (HLYs) due to the specific intervention or combination. The model was run for 2 regions: Eastern sub-Saharan Africa (SSA-E) and South-East Asia (SEA). RESULTS: The World Health Organization (WHO) recommended interventions to improve MNCH are generally considered cost-effective, with the majority of interventions demonstrating ACERs below I$100/HLY saved in the chosen settings (low-and middle-income countries [LMICs]). Best performing interventions are consistent across the two regions, and include family planning, neonatal resuscitation, management of pneumonia and neonatal infection, vitamin A supplementation, and measles vaccine. ACERs below I$100 can be found across all delivery platforms, from community to hospital level. The combination of interventions into packages (such as antenatal care) produces favorable ACERs. CONCLUSION: Within each region there are interventions which represent very good value for money. There are opportunities to gear investments towards high-impact interventions and packages for MNCH outcomes. Cost-effectiveness tools can be used at national level to inform investment cases and overall priority setting processes.