Hunger in America: Suffering We All Pay For

Estimates the recession's impact on food insecurity and the national and state-by-state cost of hunger from hunger-induced illnesses, including depression; poor educational outcomes and reduced lifetime earnings, and private charity to help feed families

Health insurance in Zaire

This study of health insurance systems in Zaire was carried out as part of a larger program of initiatives designed to improve the sustainability of health care systems and increase the health status of the Zairian population. This paper presents the objectives of the study and a discussion of the economic aspects of health insurance, background information about the health sector and health financing systems in Zaire and highlights of previous related work. The major motivations for this study were: (a) to provide information for the ongoing social sector adjustment dialogue in Zaire; and (b) to serve as a case study in the World Bank's Region Study of Health Finance. Specifically, the study sought to document different types of insurance systems in Zaire, and to conduct in-depth case studies of several schemes. The in-depth case studies presented in this report evaluate the design, management operational efficiency of four health insurance programs from both rural and urban areas. The case studies also attempt to analyze the effects of insurance on equity of access, utilization of health care services, and mobilization of financial resources for the health sector. From these analyses, the report draws conclusions about the advantages and disadvantages of health insurance programs as a means of financing health care services in Zaire, and suggests avenues for future research, policy, and programming initiatives.Health Monitoring&Evaluation,Insurance Law,Health Economics&Finance,Insurance&Risk Mitigation,Health Systems Development&Reform

The Choice of Health Policies with Heterogeneous Populations

Deciding whether to fund a given health program involves both statistical and ethical issues. Traditional statistical methods of measuring program effectiveness may give misleading results unless careful attention is paid to the question of population heterogeneity. Even within particular age and sex categories, members of a population typically differ in both their mortality rate and the extent to which they would benefit from a given medical intervention. It may or may not be possible to identify the risk factors (e. g., weight, smoking behavior) that explain these differences. If an intervention confers unequal benefit on different risk groups, it will change their mixture within the population over time. If those helped most are those at greatest risk, a "traditional assessment" will overstate intervention benefits. Greater accuracy can be achieved through a "standardized assessment, " which calculates intervention benefits separately for each distinctive risk group of the population. For example, a traditional assessment of pneumococcal pneumonia vaccine probably overstates program benefits and underestimates costs. Failure to recognize population heterogeneity also creates pitfalls in interpreting the results of clinical trials of new drugs, as illustrated by the example of sulfinpyrazone. As more sophisticated statistical methods improve our understanding of differential program benefits, they will also raise ethical problems. Use of a standardized assessment, for instance, may make it clear that it is cost-effective to give an intervention to certain groups (e.g., nonsmokers, the elderly) but not others. Considering this problem from an "original position" may reveal an ethically acceptable basis for making such decisions on the basis of efficiency. We believe that if people were unaware of which risk group they themselves would fall into, they would elect to allocate resources according to the principle of cost-effectiveness.

Cost of Dengue Illness in Indonesia across Hospital, Ambulatory, and not Medically Attended Settings.

Informed decisions concerning emerging technologies against dengue require knowledge about the disease's economic cost and each stakeholder's potential benefits from better control. To generate such data for Indonesia, we reviewed recent literature, analyzed expenditure and utilization data from two hospitals and two primary care facilities in Yogyakarta city, and interviewed 67 dengue patients from hospital, ambulatory, and not medically attended settings. We derived the cost of a dengue episode by outcome, setting, and the breakdown by payer. We then calculated aggregate Yogyakarta and national costs and 95% uncertainty intervals (95% UIs). Dengue costs per nonfatal case in hospital, ambulatory, not medically attended, and overall average settings were US$316.24 (95$242.30-$390.18), US$22.45 (95% UI: $14.12-$30.77), US$7.48 (95$2.36-$12.60), and US$50.41 (95% UI: $35.75-$65.07), respectively. Costs of nonfatal episodes were borne by the patient's household (37%), social contributors (relatives and friends, 20%), national health insurance (25%), and other sources (government, charity, and private insurance, 18%). After including fatal cases, the average cost per episode became $90.41 (95$72.79-$112.35). Indonesia had an estimated 7.535 (95$681.26 (95% UI: $232.28-$2,371.56) million. Unlike most previous research that examined only the formal medical sector, this study included the estimated 63% of national dengue episodes that were not medically attended. Also, this study used actual costs, rather than charges, which generally understate dengue's economic burden in public facilities. Overall, this study found that Indonesia's aggregate cost of dengue was 73% higher than previously estimated, strengthening the need for effective control

The cost-effectiveness of controlling dengue in Indonesia using wMel Wolbachia released at scale: a modelling study.

BACKGROUND: Release of virus-blocking Wolbachia-infected mosquitoes is an emerging disease control strategy that aims to control dengue and other arboviral infections. Early entomological data and modelling analyses have suggested promising outcomes, and wMel Wolbachia releases are now ongoing or planned in 12 countries. To help inform government, donor, or philanthropist decisions on scale-up beyond single city releases, we assessed this technology's cost-effectiveness under alternative programmatic options. METHODS: Using costing data from existing Wolbachia releases, previous dynamic model-based estimates of Wolbachia effectiveness, and a spatially explicit model of release and surveillance requirements, we predicted the costs and effectiveness of the ongoing programme in Yogyakarta City and three new hypothetical programmes in Yogyakarta Special Autonomous Region, Jakarta, and Bali. RESULTS: We predicted Wolbachia to be a highly cost-effective intervention when deployed in high-density urban areas with gross cost-effectiveness below $1500 per DALY averted. When offsets from the health system and societal perspective were included, such programmes even became cost saving over 10-year time horizons with favourable benefit-cost ratios of 1.35 to 3.40. Sequencing Wolbachia releases over 10 years could reduce programme costs by approximately 38% compared to simultaneous releases everywhere, but also delays the benefits. Even if unexpected challenges occurred during deployment, such as emergence of resistance in the medium-term or low effective coverage, Wolbachia would remain a cost-saving intervention. CONCLUSIONS: Wolbachia releases in high-density urban areas are expected to be highly cost-effective and could potentially be the first cost-saving intervention for dengue. Sites with strong public health infrastructure, fiscal capacity, and community support should be prioritised

A Controlled Study of Funding for Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome as Resource Capacity Building in the Health System in Rwanda

Because human inmmunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) receives more donor funding globally than that for all other diseases combined, some critics allege this support undermines general health care. This empirical study evaluates the impact of HIV/AIDS funding on the primary health care system in Rwanda. Using a quasi-experimental design, we randomly selected 25 rural health centers (HCs) that started comprehensive HIV/AIDS services from 2002 through 2006 as the intervention group. Matched HCs with no HIV/AIDS services formed the control group. The analysis compared growth in inputs and services between intervention and control HCs with a difference-in-difference analysis in a random-effects model. Intervention HCs performed better than control HCs in most services (seven of nine), although only one of these improvements (Bacille Calmette-Guérin vaccination) reached or approached statistical significance. In conclusion, this six-year controlled study found no adverse effects of the expansion of HIV/AIDS services on non-HIV services among rural health centers in Rwanda

Productivity costs from a dengue episode in Asia: a systematic literature review

Background Dengue is a mosquito-borne viral infection which has been estimated to cause a global economic burden of US$8.9 billion per year. 40 Method We searched PubMed and Web of Knowledge without date and language restrictions using terms related to dengue and cost and economics burden. The titles and abstracts of publications related to Asia were screened to identify relevant studies. The reported productivity losses and costs of non-fatal and fatal dengue episodes were then described and compared. Costs were adjusted for inflation to 2017 prices. Results We reviewed 33 relevant articles, of which 20 studies reported the productivity losses, and 31 studies reported productivity costs. The productivity costs varied between US$6.7–1445.9 and US$3.8–1332 for hospitalized and outpatient non-fatal episodes, respectively. The productivity cost associated with fatal dengue episodes varied between US$12,035-1,453,237. A large degree of this variation was due to the range of different countries being investigated and their corresponding economic status. However, estimates for a given country still showed notable variation. Conclusion We found that the estimated productivity costs associated with dengue episodes in Asia are notable. However, owing to the significant variation in methodology and approaches applied, the reported productivity costs of dengue episodes were often not directly comparable across studies. More consistent and transparent methodology regarding the estimation of productivity costs would help the estimates of the economic burden of dengue be more accurate and comparable across studies

Economic Impact of Dengue Illness and the Cost-Effectiveness of Future Vaccination Programs in Singapore

Dengue illness is a tropical disease transmitted by mosquitoes that threatens more than one third of the worldwide population. Dengue has important economic consequences because of the burden to hospitals, work absenteeism and risk of death of symptomatic cases. Governments attempt to reduce the disease burden using costly mosquito control strategies such as habitat reduction and spraying insecticide. Despite such efforts, the number of cases remains high. Dengue vaccines are expected to be available in the near future and there is an urgent need to evaluate their cost-effectiveness, i.e. whether their cost will be justified by the reduction in disease burden they bring. For such an evaluation, we estimated the economic impacts of dengue in Singapore and the expected vaccine costs for different prices. In this way we estimated price thresholds for which vaccination is not cost-effective. This research provides useful estimates that will contribute to informed decisions regarding the adoption of dengue vaccination programs

Cost Effectiveness of Mobile Health for Antenatal Care and Facility Births in Nigeria

Background: The use of mobile technology in the health sector, often referred to as mHealth, is an innovation that is being used in countries to improve health outcomes and increase and improve both the demand and supply of health care services. This study assesses the actual cost-effectiveness of initiating and implementing the use of the mHealth as a supply side job aid for antenatal care. The study also estimates the cost-effectiveness ratio if mHealth was also used to encourage and track women through facility delivery. Methods: The methodology utilized a retrospective, micro-costing technique to extract costing data from health facilities and administrative offices to estimate the costs of implementing the mHealth antenatal care program and estimate the cost of facility delivery for those that used the antenatal care services in the year 2014. Five different costing tools were developed to assist in the costing analysis. Findings: The results show that the provision of tetanus toxoid vaccination and malaria prophylaxis during pregnancy and improved labor and delivery during facility delivery contributed the most to mortality reductions for women, neonates and stillbirths in mHealth facilities versus non-mHealth facilities. The cost-effectiveness ratio of this program for antenatal care and no demand-side generation for facility delivery is US$13,739 per life saved. The cost-effectiveness ratio adding in an additional demand-side generation for facility births reduces to US$9,806 per life saved. Conclusion: These results show that mHealth programs are inexpensive and save a number of lives for the dollar investment and could save additional lives and funds if women were also encouraged to seek facility delivery