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1.
Health Econ Rev ; 14(1): 13, 2024 Feb 17.
Article in English | MEDLINE | ID: mdl-38367132

ABSTRACT

BACKGROUND: Traumatic injuries are rising globally, disproportionately affecting low- and middle-income countries, constituting 88% of the burden of surgically treatable conditions. While contributing to the highest burden, LMICs also have the least availability of resources to address this growing burden effectively. Studies on the cost-of-service provision in these settings have concentrated on the most common traumatic injuries, leaving an evidence gap on other traumatic injuries. This study aimed to address the gap in understanding the cost of orthopaedic services in low-income settings by conducting a comprehensive costing analysis in two tertiary-level hospitals in Malawi. METHODS: We used a mixed costing methodology, utilising both Top-Down and Time-Driven Activity-Based Costing approaches. Data on resource utilisation, personnel costs, medicines, supplies, capital costs, laboratory costs, radiology service costs, and overhead costs were collected for one year, from July 2021 to June 2022. We conducted a retrospective review of all the available patient files for the period under review. Assumptions on the intensity of service use were based on utilisation patterns observed in patient records. All costs were expressed in 2021 United States Dollars. RESULTS: We conducted a review of 2,372 patient files, 72% of which were male. The median length of stay for all patients was 9.5 days (8-11). The mean weighted cost of treatment across the entire pathway varied, ranging from $195 ($136-$235) for Supracondylar Fractures to $711 ($389-$931) for Proximal Ulna Fractures. The main cost components were personnel (30%) and medicines and supplies (23%). Within diagnosis-specific costs, the length of stay was the most significant cost driver, contributing to the substantial disparity in treatment costs between the two hospitals. CONCLUSION: This study underscores the critical role of orthopaedic care in LMICs and the need for context-specific cost data. It highlights the variation in cost drivers and resource utilisation patterns between hospitals, emphasising the importance of tailored healthcare planning and resource allocation approaches. Understanding the costs of surgical interventions in LMICs can inform policy decisions and improve access to essential orthopaedic services, potentially reducing the disease burden associated with trauma-related injuries. We recommend that future studies focus on evaluating the cost-effectiveness of orthopaedic interventions, particularly those that have not been analysed within the existing literature.

2.
Health Care Anal ; 2024 Jan 26.
Article in English | MEDLINE | ID: mdl-38277060

ABSTRACT

The practical goal of preventing premature death seems uncontroversial. But the term 'premature death' is vague with several, sometimes conflicting definitions. This ambiguity results in several conceptions with which not all will agree. Moreover, the normative rationale behind the goal of preventing premature deaths is masked by the operational definition of existing measures. In this article, we argue that 'premature death' should be recognized as a normative concept. We propose that normative theories should be used to justify measures of premature death to provide them with normative validity and public legitimacy.

4.
Health Policy Plan ; 38(Supplement_1): i13-i35, 2023 Nov 14.
Article in English | MEDLINE | ID: mdl-37963078

ABSTRACT

Due to constraints on institutional capacity and financial resources, the road to universal health coverage (UHC) involves difficult policy choices. To assist with these choices, scholars and policy makers have done extensive work on criteria to assess the substantive fairness of health financing policies: their impact on the distribution of rights, duties, benefits and burdens on the path towards UHC. However, less attention has been paid to the procedural fairness of health financing decisions. The Accountability for Reasonableness Framework (A4R), which is widely applied to assess procedural fairness, has primarily been used in priority-setting for purchasing decisions, with revenue mobilization and pooling receiving limited attention. Furthermore, the sufficiency of the A4R framework's four criteria (publicity, relevance, revisions and appeals, and enforcement) has been questioned. Moreover, research in political theory and public administration (including deliberative democracy), public finance, environmental management, psychology, and health financing has examined the key features of procedural fairness, but these insights have not been synthesized into a comprehensive set of criteria for fair decision-making processes in health financing. A systematic study of how these criteria have been applied in decision-making situations related to health financing and in other areas is also lacking. This paper addresses these gaps through a scoping review. It argues that the literature across many disciplines can be synthesized into 10 core criteria with common philosophical foundations. These go beyond A4R and encompass equality, impartiality, consistency over time, reason-giving, transparency, accuracy of information, participation, inclusiveness, revisability and enforcement. These criteria can be used to evaluate and guide decision-making processes for financing UHC across different country income levels and health financing arrangements. The review also presents examples of how these criteria have been applied to decisions in health financing and other sectors.


Subject(s)
Health Priorities , Healthcare Financing , Humans , Health Policy , Universal Health Insurance , Social Responsibility
5.
Public Health Ethics ; 16(2): 139-151, 2023 Jul.
Article in English | MEDLINE | ID: mdl-37547915

ABSTRACT

This article discusses the fairness of geographically targeted vaccinations (GTVs). During the initial period of local and global vaccine scarcity, health authorities had to enact priority-setting strategies for mass vaccination campaigns against COVID-19. These strategies have in common that priority setting was based on personal characteristics, such as age, health status or profession. However, in 2021, an alternative to this strategy was employed in some countries, particularly Norway. In these countries, vaccine allocation was also based on the epidemiological situations in different regions, and vaccines were assigned based on local incidence rates. The aim of this article is to describe and examine how a geographical allocation mechanism may work by considering Norway as a case study and discuss what ethical issues may arise in this type of priority setting. We explain three core concepts: priority setting, geographical priority setting and GTVs. With a particular focus on Norway, we discuss the potential effects of GTV, the public perception of such a strategy, and if GTV can be considered a fair strategy. We conclude that the most reasonable defence of GTV seems to be through a consequentialist account that values both total health outcomes and more equal outcomes.

6.
BMJ Glob Health ; 8(Suppl 1)2023 01.
Article in English | MEDLINE | ID: mdl-36657808

ABSTRACT

This paper reviews the experience of six low-income and lower middle-income countries in setting their own essential packages of health services (EPHS), with the purpose of identifying the key requirements for the successful design and transition to implementation of the packages in the context of accelerating progress towards universal health coverage (UHC). The analysis is based on input from three meetings of a knowledge network established by the Disease Control Priorities 3 Country Translation Project and working groups, supplemented by a survey of participating countries.All countries endorsed the Sustainable Development Goals target 3.8 on UHC for achievement by 2030. The assessment of country experiences found that health system strengthening and mobilising and sustaining health financing are major challenges. EPHS implementation is more likely when health system gaps are addressed and when there are realistic and sustainable financing prospects. However, health system assessments were inadequate and the government planning and finance sectors were not consistently engaged in setting the EPHS in most of the countries studied. There was also a need for greater engagement with community and civil society representatives, academia and the private sector in package design. Leadership and reinforcement of technical and managerial capacity are critical in the transition from EPHS design to sustained implementation, as are strong human resources and country ownership of the process. Political commitment beyond the health sector is key, particularly commitment from parliamentarians and policymakers in the planning and finance sectors. National ownership, institutionalisation of technical and managerial capacity and reinforcing human resources are critical for success.The review concludes that four prerequisites are crucial for a successful EPHS: (1) sustained high-level commitment, (2) sustainable financing, (3) health system readiness, and (4) institutionalisation.


Subject(s)
Health Services , Private Sector , Humans , Government Programs , Sustainable Development , Poverty
7.
BMJ Glob Health ; 7(11)2022 11.
Article in English | MEDLINE | ID: mdl-36379593

ABSTRACT

INTRODUCTION: Many families in low-income and middle-income countries have high out-of-pocket expenditures (OOPE) for healthcare, and some face impoverishment. We aimed to assess the effect of Kangaroo Mother Care initiated in community setting (ciKMC) on financial risk protection estimated by healthcare OOPE, catastrophic healthcare expenditure (CHE) and impoverishment due to healthcare seeking for low birthweight infants, using a randomised controlled trial design. METHODS: We included 4475 low birthweight infants randomised to a ciKMC (2491 infants) and a control (1984 infants) arm, in a large trial conducted between 2017 and 2018 in Haryana, India. We used generalised linear models of the Gaussian family with an identity link to estimate the mean difference in healthcare OOPE, and Cox regression to estimate the HRs for CHE and impoverishment, between the trial arms. RESULTS: Overall, in the 8-week observation period, the mean healthcare OOPE per infant was lower (US$20.0) in the ciKMC arm compared with the control arm (US$25.6) that is, difference of -US$5.5, 95% CI -US$11.4 to US$0.3, p=0.06). Among infants who sought care it was US$8.5 (95% CI -US$17.0 to -US$0.03, p=0.03) lower in the ciKMC arm compared with the control arm. The HR for impoverishment due to healthcare seeking was 0.56 (95% CI 0.36 to 0.89, p=0.01) and it was 0.91 (95% CI 0.74 to 1.12, p=0.37) for CHE. CONCLUSION: ciKMC can substantially reduce the cost of care seeking and the risk of impoverishment for households. Our findings show that supporting mothers to provide KMC to low birthweight infants at home, in addition to reducing early infant mortality, may provide financial risk protection. TRIAL REGISTRATION NUMBER: CTRI/2017/10/010114.


Subject(s)
Kangaroo-Mother Care Method , Child , Humans , Birth Weight , Family Characteristics , Poverty , Health Expenditures
8.
JAMA Netw Open ; 5(6): e2219503, 2022 06 01.
Article in English | MEDLINE | ID: mdl-35767256

ABSTRACT

Importance: Rising health care costs are a major health policy challenge globally. Norway has implemented a priority-setting system intended to balance cost-effectiveness and concerns for fair distribution, but little is known about this strategy and whether it works in practice. Objective: To present and evaluate a systematic drug appraisal method that uses the severity of disease to account for a fair distribution of health in cost-effectiveness analysis, forming the basis for price negotiations and coverage decisions. Design, Setting, and Participants: This cross-sectional study uses confidential drug price information and publicly available data from health technology assessments and logistic and linear regression analyses to evaluate drug coverage decisions for the Norwegian specialized health care sector from 2014 to 2019. Main Outcomes and Measures: Drug coverage decisions by Norwegian authorities and incremental cost-effectiveness and severity of disease measured as absolute shortfall of quality adjusted life years. Results: Between 2014 and 2019, a total of 188 drugs were appraised, of which 113 were cancer drugs. The overall coverage rate was 73% (138 of 188). The number of annual appraisals increased during the observation period. Based on 83 chosen decisions, regression analysis showed that incremental cost-effectiveness ratios (ICER) based on negotiated drug prices, adjusted for severity-differentiated cost-effectiveness thresholds, was the variable that best projected drug approvals (OR, 0.60; 95% CI, 0.42-0.86). An increase in the ICER by $10 000 was associated with a reduction in the odds for approval of 40% for drugs assessed from 2018 to 2019. Conclusions and Relevance: This cross-sectional study demonstrated how concerns for efficiency and fair distribution of health can be implemented systematically into drug appraisals and reimbursement decisions. New, expensive drugs are expected to escalate health care costs in the years to come, and it may be feasible to control costs by negotiating the prices of new drugs while appraising both their cost-effectiveness and how their health benefits are distributed.


Subject(s)
Antineoplastic Agents , Drug Costs , Cost-Benefit Analysis , Cross-Sectional Studies , Humans , Severity of Illness Index
10.
MDM Policy Pract ; 6(1): 23814683211005771, 2021.
Article in English | MEDLINE | ID: mdl-34104781

ABSTRACT

Background. Metformin is a widely accepted first-line pharmacotherapy for patients with type 2 diabetes mellitus (T2DM). Treatment of T2DM with glibenclamide, saxagliptin, or one of the other second-line treatment agents is recommended when the first-line treatment (metformin) cannot control the disease. However, there is little evidence on the additional cost and cost-effectiveness of adding second-line drugs. Therefore, this study aimed to estimate the cost-effectiveness of saxagliptin and glibenclamide as second-line therapies added to metformin compared with metformin only in T2DM in Ethiopia. Methods. This cost-effectiveness study was conducted in Ethiopia using a mix of primary data on cost and best available data from the literature on the effectiveness. We measured the interventions' cost from the providers' perspective in 2019 US dollars. We developed a Markov model for T2DM disease progression with five health states using TreeAge Pro 2020 software. Disability-adjusted life year (DALY) was the health outcome used in this study, and we calculated the incremental cost-effectiveness ratio (ICER) per DALY averted. Furthermore, one-way and probabilistic sensitivity analysis were performed. Results. The annual unit cost per patient was US$70 for metformin, US$75 for metformin + glibenclamide, and US$309 for metformin + saxagliptin. The ICER for saxagliptin + metformin was US$2259 per DALY averted. The ICER results were sensitive to various changes in cost, effectiveness, and transition probabilities. The ICER was driven primarily by the higher cost of saxagliptin relative to glibenclamide. Conclusion. Our study revealed that saxagliptin is not a cost-effective second-line therapy in patients with T2DM inadequately controlled by metformin monotherapy based on a gross domestic product per capita per DALY averted willingness-to-pay threshold in Ethiopia (US$953).

11.
BMC Med Ethics ; 22(1): 55, 2021 05 10.
Article in English | MEDLINE | ID: mdl-33971875

ABSTRACT

BACKGROUND: In precision medicine biomarkers stratify patients into groups that are offered different treatments, but this may conflict with the principle of equal treatment. While some patient characteristics are seen as relevant for unequal treatment and others not, it is known that they all may influence treatment decisions. How biomarkers influence these decisions is not known, nor is their ethical relevance well discussed. METHODS: We distributed an email survey designed to elicit treatment preferences from Norwegian doctors working with cancer patients. In a forced-choice conjoint analysis pairs of hypothetical patients were presented, and we calculated the average marginal component effect of seven individual patient characteristics, to estimate how each of them influence doctors' priority-setting decisions. RESULTS: A positive biomarker status increased the probability of being allocated the new drug, while older age, severe comorbidity and reduced physical function reduced the probability. Importantly, sex, education level and smoking status had no significant influence on the decision. CONCLUSION: Biomarker status is perceived as relevant for priority setting decisions, alongside more well-known patient characteristics like age, physical function and comorbidity. Based on our results, we discuss a framework that can help clarify whether biomarker status should be seen as an ethically acceptable factor for providing unequal treatment to patients with the same disease.


Subject(s)
Physicians , Precision Medicine , Aged , Decision Making , Humans , Surveys and Questionnaires
12.
Nat Med ; 27(3): 380-387, 2021 03.
Article in English | MEDLINE | ID: mdl-33723458

ABSTRACT

All countries worldwide have signed up to the United Nations Sustainable Development Goals and have committed to the objective of achieving 'universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for all'. During the COVID-19 pandemic and beyond, advancement toward universal health coverage (UHC) will become more difficult for many countries, demonstrating that locally led priority setting is urgently needed to provide health services with appropriate financial protection to all. Because resources are limited and no national constituency can provide an unlimited number of services to their whole population in a sustainable manner, rationing and setting priorities for the selection of interventions to be included in a defined package of services is critical. In this Perspective, we discuss how packages of essential health services can be developed in resource-constrained settings, and detail how experts and the public can decide on principles and criteria, use a comprehensive array of analytical methods and choose which services to be provided free of charge. We illustrate these main steps while drawing on a recently conducted exercise of revising the national essential health services package in Ethiopia, which we compare with examples from other countries that have defined their essential benefits packages. This Perspective also provides recommendations for other low- and middle-income countries on their pathway to UHC.


Subject(s)
Health Care Rationing , Health Planning , Health Priorities , Universal Health Care , COVID-19 , Ethiopia , Health Services Accessibility , Humans , SARS-CoV-2 , Sustainable Development
13.
Health Syst Reform ; 7(1): e1870061, 2021 01 01.
Article in English | MEDLINE | ID: mdl-33739233

ABSTRACT

Estimating the required resources for implementing an essential health services package (EHSP) is vital to examine its feasibility and affordability. This study aimed to estimate the financial resources required to implement the Ethiopian EHSP from 2020 to 2030. Furthermore, we explored potential alternatives to increase the fiscal space for health in Ethiopia. We used the OneHealth Tool (OHT) to estimate the costs of expanding the EHSP service provision in the public sector in Ethiopia. Combinations of ingredient-based bottom-up and program-based summary costing approaches were applied. We predicted the fiscal space using assumptions for economic growth, government resource allocations to health, external aid for health, the magnitude of out-of-pocket expenditure, and other private health expenditures as critical factors affecting available resources devoted to health. All costs were valued using 2020 US dollars (USD). To implement the EHSP, 13.0 billion USD (per capita: 94 USD) would be required in 2030. The largest (50-70%) share of estimated costs was for medicines, commodities, and supplies, followed by human resources costs (10-17%). However, the expected available resources based on a business-as-usual fiscal space estimate would be 63 USD per capita for the same year. Therefore, the gap as a percentage of the required resources would be 33% in 2030. The resources needed to implement the EHSP would increase steadily over the projection period due mainly to increases in service coverage targets over time. Allocating gains from economic growth to increase the total government health expenditure could partly address the gap.


Subject(s)
Health Care Costs , Universal Health Insurance , Delivery of Health Care , Health Expenditures , Health Services , Humans
14.
Cost Eff Resour Alloc ; 19(1): 2, 2021 Jan 06.
Article in English | MEDLINE | ID: mdl-33407595

ABSTRACT

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.

16.
BMC Public Health ; 20(1): 1869, 2020 Dec 07.
Article in English | MEDLINE | ID: mdl-33287754

ABSTRACT

BACKGROUND: Expansion of designated cycling networks increases cycling for transport that, in turn, increases physical activity, contributing to improvement in public health. This paper aims to determine whether cycle-network construction in a large city is cost-effective when compared to the status-quo. We developed a cycle-network investment model (CIM) for Oslo and explored its impact on overall health and wellbeing resulting from the increased physical activity. METHODS: First, we applied a regression technique on cycling data from 123 major European cities to model the effect of additional cycle-networks on the share of cyclists. Second, we used a Markov model to capture health benefits from increased cycling for people starting to ride cycle at the age of 30 over the next 25 years. All health gains were measured in quality-adjusted life years (QALYs). Costs were estimated in US dollars. Other data to populate the model were derived from a comprehensive literature search of epidemiological and economic evaluation studies. Uncertainty was assessed using deterministic and probabilistic sensitivity analyses. RESULTS: Our regression analysis reveals that a 100 km new cycle network construction in Oslo city would increase cycling share by 3%. Under the base-case assumptions, where the benefits of the cycle-network investment relating to increased physical activity are sustained over 25 years, the predicted average increases in costs and QALYs per person are $416 and 0.019, respectively. Thus, the incremental costs are $22,350 per QALY gained. This is considered highly cost-effective in a Norwegian setting. CONCLUSIONS: The results support the use of CIM as part of a public health program to improve physical activity and consequently avert morbidity and mortality. CIM is affordable and has a long-term effect on physical activity that in turn has a positive impact on health improvement.


Subject(s)
Bicycling , Exercise , Social Networking , Adult , Cities , Cost-Benefit Analysis , Humans , Models, Economic , Quality-Adjusted Life Years
17.
Health Syst Reform ; 6(1): e1829313, 2020 12 01.
Article in English | MEDLINE | ID: mdl-33300838

ABSTRACT

To make progress toward universal health coverage, countries should define the type and mix of health services that respond to their populations' needs. Ethiopia revised its essential health services package (EHSP) in 2019. This paper describes the process, methodology and key features of the new EHSP. A total of 35 consultative workshops were convened with experts and the public to define the scope of the revision, develop a list of health interventions, agree on the prioritization criteria, gather evidence and compare health interventions. Seven prioritization criteria were employed: disease burden, cost effectiveness, equity, financial risk protection, budget impact, public acceptability and political acceptability. In the first phase, 1,749 interventions were identified, including existing and new interventions, which were regrouped and reorganized to identify 1,442 interventions as relevant. The second phase removed interventions that did not match the burden of disease or were not relevant in the Ethiopian setting, reducing the number of interventions to 1,018. These were evaluated further and ranked by the other criteria. Finally, 594 interventions were classified as high priority (58%), 213 as medium priorities (21%) and 211 as low priority interventions (21%). The current policy is to provide 570 interventions (56%) free of charge while guaranteeing the availability of the remaining services with cost-sharing (38%) and cost-recovery (6%) mechanisms in place. In conclusion, the revision of Ethiopia's EHSP followed a participatory, inclusive and evidence-based prioritization process. The interventions included in the EHSP were comprehensive and were assigned to health care delivery platforms and linked to financing mechanisms.


Subject(s)
Policy Making , Universal Health Insurance/classification , Cost-Benefit Analysis/methods , Ethiopia , Health Care Costs/statistics & numerical data , Health Care Costs/trends , Health Policy , Humans , Universal Health Insurance/trends
18.
BMJ Glob Health ; 5(10)2020 10.
Article in English | MEDLINE | ID: mdl-33028701

ABSTRACT

In health outcomes terms, the poorest countries stand to lose the most from these disruptions. In this paper, we make the case for a rational approach to public sector health spending and decision making during and in the early recovery phase of the COVID-19 pandemic. Based on ethics and equity principles, it is crucial to ensure that patients not infected by COVID-19 continue to get access to healthcare and that the services they need continue to be resourced. We present a list of 120 essential non-COVID-19 health interventions that were adapted from the model health benefit packages developed by the Disease Control Priorities project.


Subject(s)
Altruism , Coronavirus Infections , Health Services Accessibility , Pandemics , Pneumonia, Viral , Betacoronavirus , COVID-19 , Developing Countries , Health Services Accessibility/organization & administration , Health Services Accessibility/standards , Humans , Poverty , Public Health , SARS-CoV-2
19.
PLoS One ; 15(7): e0235955, 2020.
Article in English | MEDLINE | ID: mdl-32663229

ABSTRACT

OBJECTIVES: At any point in time, a person's lifetime health is the number of healthy life years they are expected to experience during their lifetime. In this article we propose an equity-relevant health metric, Health Adjusted Age at Death (HAAD), that facilitates comparison of lifetime health for individuals at the onset of different medical conditions, and allows for the assessment of which patient groups are worse off. A method for estimating HAAD is presented, and we use this method to rank four conditions in six countries according to several criteria of "worse off" as a proof of concept. METHODS: For individuals with specific conditions HAAD consists of two components: past health (before disease onset) and future expected health (after disease onset). Four conditions (acute myeloid leukemia (AML), acute lymphoid leukemia (ALL), schizophrenia, and epilepsy) are analysed in six countries (Ethiopia, Haiti, China, Mexico, United States and Japan). Data from 2017 for all countries and for all diseases were obtained from the Global Burden of Disease Study database. In order to assess who are the worse off, we focus on four measures: the proportion of affected individuals who are expected to have HAAD<20 (T20), the 25th and 75th percentiles of HAAD for affected individuals (Q1 and Q3, respectively), and the average HAAD (aHAAD) across all affected individuals. RESULTS: Even in settings where aHAAD is similar for two conditions, other measures may vary. One example is AML (aHAAD = 59.3, T20 = 2.0%, Q3-Q1 = 14.8) and ALL (58.4, T20 = 4.6%, Q3-Q1 = 21.8) in the US. Many illnesses, such as epilepsy, are associated with more lifetime health in high-income settings (Q1 in Japan = 59.2) than in low-income settings (Q1 in Ethiopia = 26.3). CONCLUSION: Using HAAD we may estimate the distribution of lifetime health of all individuals in a population, and this distribution can be incorporated as an equity consideration in setting priorities for health interventions.


Subject(s)
Epilepsy/mortality , Health Status , Leukemia, Myeloid, Acute/mortality , Mortality/trends , Precursor Cell Lymphoblastic Leukemia-Lymphoma/mortality , Quality-Adjusted Life Years , Schizophrenia/mortality , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Child , Child, Preschool , Epilepsy/epidemiology , Female , Humans , Infant , Infant, Newborn , Leukemia, Myeloid, Acute/epidemiology , Male , Middle Aged , Precursor Cell Lymphoblastic Leukemia-Lymphoma/epidemiology , Schizophrenia/epidemiology , United States/epidemiology , Young Adult
20.
Malar J ; 19(1): 41, 2020 Jan 23.
Article in English | MEDLINE | ID: mdl-31973694

ABSTRACT

BACKGROUND: Malaria is a public health burden and a major cause for morbidity and mortality in Ethiopia. Malaria also places a substantial financial burden on families and Ethiopia's national economy. Economic evaluations, with evidence on equity and financial risk protection (FRP), are therefore essential to support decision-making for policymakers to identify best buys amongst possible malaria interventions. The aim of this study is to estimate the expected health and FRP benefits of universal public financing of key malaria interventions in Ethiopia. METHODS: Using extended cost-effectiveness analysis (ECEA), the potential health and FRP benefits were estimated, and their distributions across socio-economic groups, of publicly financing a 10% coverage increase in artemisinin-based combination therapy (ACT), long-lasting insecticide-treated bed nets (LLIN), indoor residual spraying (IRS), and malaria vaccine (hypothetical). RESULTS: ACT, LLIN, IRS, and vaccine would avert 358, 188, 107 and 38 deaths, respectively, each year at a net government cost of $5.7, 16.5, 32.6, and 5.1 million, respectively. The annual cost of implementing IRS would be two times higher than that of the LLIN interventions, and would be the main driver of the total costs. The averted deaths would be mainly concentrated in the poorest two income quintiles. The four interventions would eliminate about $4,627,800 of private health expenditures, and the poorest income quintiles would see the greatest FRP benefits. ACT and LLINs would have the largest impact on malaria-related deaths averted and FRP benefits. CONCLUSIONS: ACT, LLIN, IRS, and vaccine interventions would bring large health and financial benefits to the poorest households in Ethiopia.


Subject(s)
Anti-Infective Agents/therapeutic use , Artemisinins/therapeutic use , Insecticide-Treated Bednets/economics , Insecticides/administration & dosage , Malaria Vaccines , Malaria/economics , Anti-Infective Agents/economics , Artemisinins/economics , Cost-Benefit Analysis , Ethiopia/epidemiology , Health Expenditures , Humans , Incidence , Income/classification , Malaria/drug therapy , Malaria/epidemiology , Malaria/prevention & control , Malaria Vaccines/economics , Risk Factors , Socioeconomic Factors
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