Preferences in Clinical Care of Individuals With Differences of Sex Development.

OBJECTIVES: To identify the most important attributes related to the process of achieving, and outcomes associated with, successful care for differences of sex development (DSD). METHODS: We developed a best-worst scaling survey administered to 520 DSD stakeholders, including individuals or family members of those with DSD, health care specialists, and patient support and advocacy representatives. Fourteen process-related attributes and 16 outcome-related attributes were identified through qualitative research. We estimated relative importance scores and coefficients from regression analysis to understand the relative importance of attributes and conducted latent class analysis to explore heterogeneity in preferences. RESULTS: The 3 most important process attributes were (1) good communication between care team and patient/family, (2) care team educated patient/family about condition, and (3) care team incorporates the values of patient/family. The 3 most important outcome attributes were (1) patient satisfaction, (2) patient mental health, and (3) treatment maintains physical health. Latent class analyses showed that respondents had heterogeneous preferences. For process-related attributes, we identified 3 respondent groups: "Patient autonomy and support" (46% of respondents), "Education and care transitions" (18%), and "Shared decision-making" (36%). For outcome-related attributes, we identified 2 respondent groups: "Preserving function and appearance" (59% of respondents) and "Patient health and satisfaction" (41%). CONCLUSIONS: Outcomes such as patient satisfaction and health were the most important outcome attributes, and good communication and education from the care team were the most important process attributes. Respondents expressed heterogeneous preferences for selected DSD care attributes that providers should consider to improve satisfaction with and quality of DSD care.

Association Between Alcohol Use Disorder and Hospital Readmission Rates and Outcomes in Cancer Survivors: A Population Cohort Study.

BACKGROUND: Alcohol use disorder (AUD) is the most common substance use disorder and is characterized by heavy alcohol use and the inability to control drinking. This study sought to compare the rate, timing, length, and total costs of hospital readmissions among cancer survivors with and without AUD. METHODS: We used the Nationwide Readmissions Database in 2017 and 2018 in this cohort study. Cancer survivors with an AUD diagnosis during their index hospitalization were included in the exposure group. Propensity score matching was used to identify cancer survivors without AUD for the control group. The primary outcome was all-cause readmission, and secondary outcomes included days to, length of, and total cost of readmission. Outcomes were measured after 90 and 180 days of follow-up. Logistic regression was used to measure the likelihood of readmission, and negative binomial regression and gamma regression were used for the other outcomes. RESULTS: Of 485,962 cancer survivors, 13,953 (2.9%) had co-occurring AUD. Cancer survivors with AUD had slightly higher odds of 90-day (odds ratio, 1.14; 95% CI, 1.06-1.22) and 180-day (odds ratio, 1.11; 95% CI, 1.05-1.18) readmission compared with those without AUD. Cancer survivors with AUD who were readmitted after 90 days also had higher readmission costs ($3,785 vs $3,376; P=.03). No differences in time to and length of readmission were observed between groups. The odds of readmission were higher among cancer survivors with AUD irrespective of age and type of cancer. Male, but not female, cancer survivors with AUD were more likely than those without AUD to be readmitted in both follow-up periods. CONCLUSIONS: This population-based cohort study of cancer survivors in the United States found that AUD is associated with higher 90- and 180-day readmission rates and higher related health care costs after 90 days of follow-up. Hospitalized cancer survivors with AUD may benefit from addiction treatment and discharge planning that addresses their co-occurring AUD.

Achieving malaria testing and treatment targets for children under five in Mozambique: a cost-effectiveness analysis.

BACKGROUND: The entire population of Mozambique is at risk for malaria, which remains one of the leading causes of death. The 2017-2022 National Malaria Strategic Plan focuses on reducing malaria morbidity and mortality in high- and low-transmission areas. This study aimed to estimate the costs and health benefits of six variations of the World Health Organization's "test-and-treat" strategy among children under five. METHODS: A decision tree model was developed that estimates the costs and health outcomes for children under five. Data on probabilities, costs, weights for disability-adjusted life years (DALYs), and quality-adjusted life years (QALYs) were based on peer-reviewed, grey literature, and primary data analysis of the 2018 Malaria Indicator Survey. Six scenarios were compared to the status quo and calculated the incremental cost-effectiveness ratio (ICER) in terms of cost per QALY gained, DALY averted, and life saved. Deterministic and probabilistic sensitivity analyses were conducted to understand the effect of parameter uncertainty on the findings. RESULTS: In the base case, reaching the target of 100% testing with rapid diagnostic tests (RDTs; Scenario 1) is more cost-effective than improving the testing rate alone by 10% (Scenario 2). Achieving a 100% (Scenario 3) or a 10% increase in treatment rate (Scenario 4) have ICERs that are lower than Scenarios 1 and 2. Both Scenarios 5 and 6, which represent combinations of Scenarios 1-4, have lower ICERs than their constituent strategies on their own, which suggests that improvements in treatment are more cost-effective than improvements in testing alone. These results held when DALYs averted or lives saved were used as health outcomes. Deterministic and probabilistic sensitivity analyses revealed that the cost-effectiveness of Scenarios 1-6 are subject sensitive to parameter uncertainty, though Scenarios 4 and 5 are the optimal choice when DALYs averted or QALYs gained were used as the measure of health outcomes across all cost-effectiveness thresholds. CONCLUSIONS: Improving testing rates alone among children at risk for malaria has the potential to improve health but may not be the most efficient use of limited resources. Instead, small or large improvements in treatment, whether alone or in conjunction with improvements in testing, are the most cost-effective strategies for children under five in Mozambique.

Estimation of Potential Deaths Averted From Hypothetical US Income Support Policies.

Importance: Income has a negative, nonlinear association with all-cause mortality. Income support policies may prevent deaths among low-income populations by raising their incomes. Objective: To estimate the deaths that could be averted among working-age adults age 18 to 64 years with hypothetical income support policies in the US. Design Setting and Population: An open, multicohort life-table model was developed that simulated working-age adults age 18 to 64 years in the US over 5 to 40 years. Publicly available household income data and previous estimates of the income-mortality association were used to generate mortality rates by income group. Deterministic sensitivity analyses were conducted to evaluate the effect of parameter uncertainty and various model assumptions on the findings. Interventions: In addition to a no-intervention scenario, 4 hypothetical income support policies were modeled: universal basic income, modified LIFT Act, poverty alleviation, and negative income tax. Main Outcome and Measures: The main outcome was the number of deaths averted, which was calculated by subtracting the number of deaths experienced in the no-intervention scenario from the number of deaths experienced with the various income support policies. Results: Base-case assumptions used average mortality rates by age, sex, and income group, a 20-year time horizon, and a 3-year lag time. Universal basic income worth $12 000 per year per individual was estimated to avert the most deaths among working-age adults (42 000-104 000 per year), followed by a negative income tax that guaranteed an income of 133% of the federal poverty level (19 000-67 000 per year). A modified LIFT Act that provided $6000 to individuals with annual household incomes less than $100 000 was estimated to avert 17 000 to 52 000 deaths per year. A targeted approach that alleviated poverty was estimated to prevent 12 000 to 32 000 deaths among the lowest-income, working-age adult population. Results were most sensitive to several inputs and assumptions, primarily the income-based mortality rates, analytic time horizon, and assumed time lag between when a policy was implemented and when individuals experienced the mortality benefit of having higher incomes. Conclusions and Relevance: In this modeling study, 4 hypothetical income support policies were estimated to avert thousands of deaths among working-age US adults every year. Additional research is needed to understand the true association of income gains with mortality. Discussions about the costs and benefits of income support policies should include potential gains in health.

Adult vaccination uptake strategies in low- and middle-income countries: A systematic review.

BACKGROUND: Evidence-based strategies can maximize vaccination intent and uptake among adults. This systematic review summarizes the existing literature on strategies to improve vaccination intent and uptake among adults in low- and middle-income countries (LMICs) to inform future implementation in various populations and contexts. METHODS: Eligible studies were identified through a systematic search in Medline, Embase, Cochrane Libraries, as well as grey literature databases published between January 2010 and March 2021. The search was limited to studies in LMICs that evaluated adult vaccination interventions. Data were extracted from the included studies and evaluated against the World Health Organization's Behavioral and Social Drivers of Vaccination Framework. The National Institutes of Health study quality assessment tools were used to evaluate study quality. RESULTS: The initial literature review identified 2,854 records, 22 of which met the inclusion criteria. The majority (n = 19 or 86%) of studies were from middle-income countries, with the remaining studies (n = 3 or 13%) set in low-income countries. The majority (15/22, 68%) of interventions were multi-component. 82% (18/22) of studies addressed thoughts and feelings, 59% (13/22) addressed social processes, and 73% (16/22) addressed practical issues. Five studies reported primary outcomes of vaccination intent, and the remaining 17 reported vaccine uptake. 36% (8/22) of the studies cited statistically significant positive intervention effects on vaccination intent or uptake. Few of the included studies (6/22, 27%) were RTCs, and most studies (15/22, 68%) were of poor study quality. The studies reporting the highest increase in vaccination intent and uptake were multi-component interventions that addressed all three determinants of vaccination. DISCUSSION: The results of this review highlight levers that can be used to encourage vaccine intent and uptake in the ongoing rollout of COVID-19 vaccines, as well as the deployment of other vaccines to adult populations in LMICs. Of the included studies, multicomponent interventions were most effective, mainly when targeting multiple determinants of vaccination. However, poor study quality indicates the need for additional research to validate these findings.

The Costs and Health Benefits of Expanded Access to MDMA-assisted Therapy for Chronic and Severe PTSD in the USA: A Modeling Study.

BACKGROUND AND OBJECTIVE: Intensive psychotherapy assisted with 3,4-methylenedioxymethamphetamine (MDMA-AT) was shown in Phase 3 clinical trials to substantially reduce post-traumatic stress disorder (PTSD) symptoms compared to psychotherapy with placebo. This study estimates potential costs, health benefits, and net savings of expanding access to MDMA-AT to eligible US patients with chronic and severe PTSD. METHODS: Using a decision-analytic model, we compared the costs, deaths averted, and quality-adjusted life years (QALYs) gained of three, 10-year MDMA-AT coverage targets (25%, 50%, and 75%) compared to providing standard of care to the same number of eligible patients with chronic and severe PTSD. We used a payer perspective and discounted costs (in US$) and QALYs to 2020. We conducted one-way, scenario, and probabilistic sensitivity analyses and calculated the net monetary value of MDMA-AT using a cost-effectiveness threshold of $100,000 per QALY gained. RESULTS: Expanding access to MDMA-AT to 25-75% of eligible patients is projected to avert 43,618-106,932 deaths and gain 3.3-8.2 million QALYs. All three treatment targets are dominant or cost-saving compared to standard of care. Our sensitivity analyses found that accounting for parameter uncertainty and changes in various assumptions did not alter the main finding-MDMA-AT is dominant compared to standard of care. CONCLUSION: Expanding access to MDMA-AT to patients with chronic and severe PTSD will provide substantial health and financial benefits. The precise magnitude is uncertain and will depend on the number of eligible patients and other inputs.

The Impact of Choosing Wisely Interventions on Low-Value Medical Services: A Systematic Review.

Policy Points Dissemination of Choosing Wisely guidelines alone is unlikely to reduce the use of low-value health services. Interventions by health systems to implement Choosing Wisely guidelines can reduce the use of low-value services. Multicomponent interventions targeting clinicians are currently the most effective types of interventions. CONTEXT: Choosing Wisely aims to reduce the use of unnecessary, low-value medical services through development of recommendations related to service utilization. Despite the creation and dissemination of these recommendations, evidence shows low-value services are still prevalent. This paper synthesizes literature on interventions designed to reduce medical care identified as low value by Choosing Wisely and evaluates which intervention characteristics are most effective. METHODS: We searched peer-reviewed and gray literature from the inception of Choosing Wisely in 2012 through June 2019 to identify interventions in the United States motivated by or using Choosing Wisely recommendations. We also included studies measuring the impact of Choosing Wisely on its own, without interventions. We developed a coding guide and established coding agreement. We coded all included articles for types of services targeted, components of each intervention, results of the intervention, study type, and, where applicable, study quality. We measured the success rate of interventions, using chi-squared tests or Wald tests to compare across interventions. FINDINGS: We reviewed 131 articles. Eighty-eight percent of interventions focused on clinicians only; 48% included multiple components. Compared with dissemination of Choosing Wisely recommendations only, active interventions were more likely to generate intended results (65% vs 13%, p < 0.001) and, among those, interventions with multiple components were more successful than those with one component (77% vs 47%, p = 0.002). The type of services targeted did not matter for success. Clinician-based interventions were more effective than consumer-based, though there is a dearth of studies on consumer-based interventions. Only 17% of studies included a control arm. CONCLUSIONS: Interventions built on the Choosing Wisely recommendations can be effective at changing practice patterns to reduce the use of low-value care. Interventions are more effective when targeting clinicians and using more than one component. There is a need for high-quality studies that include active controls.

Cost-effectiveness of implantable ventricular assist devices in older children with stable, inotrope-dependent dilated cardiomyopathy.

BACKGROUND: In a stable, inotrope-dependent pediatric patient with dilated cardiomyopathy, we evaluated the cost-effectiveness of continuous-flow VAD implantation compared to a watchful waiting approach using chronic inotropic therapy. METHODS: We used a state-transition model to estimate the costs and outcomes of 14-year-old (INTERMACS profile 3) patients receiving either VAD or watchful waiting. We measured benefits in terms of lifetime QALYs gained. Model inputs were taken from the literature. We calculated the ICER, or the cost per additional QALY gained, of VADs and performed multiple sensitivity analyses to test how our assumptions influenced the results. RESULTS: Compared to watchful waiting, VADs produce 0.97 more QALYs for an additional $156 639, leading to an ICER of $162 123 per QALY gained from a healthcare perspective. VADs have 17% chance of being cost-effective given a cost-effectiveness threshold of $100 000 per QALY gained. Sensitivity analyses suggest that VADs can be cost-effective if the costs of implantation decrease or if hospitalization costs or mortality among watchful waiting patients is higher. CONCLUSIONS: As a bridge to transplant, VADs provide a health benefit to children who develop stable, inotrope-dependent heart failure, but immediate implantation is not yet a cost-effective strategy compared to watchful waiting based on commonly used cost-effectiveness thresholds. Early VAD support can be cost-effective in sicker patients and if device implantation is cheaper. In complex conditions such as pediatric heart failure, cost-effectiveness should be just one of many factors that inform clinical decision-making.

Examining Equity Effects of Health Interventions in Cost-Effectiveness Analysis: A Systematic Review.

OBJECTIVE: This systematic review aims to catalogue and describe published applications of equity-informative cost-effectiveness analysis (CEAs). METHODS: Following PRISMA guidelines, we searched Medline for English-language, peer-reviewed CEAs published on or before August 2019. We included CEAs that evaluated 2 or more alternatives; explicitly mentioned equity as a consideration or decision-making principle; and applied an equity-informative CEA method to analyze or examine at least 1 equity criterion in an applied CEA. We extracted data on selected characteristics and analyzed reporting quality using the CHEERS checklist. RESULTS: Fifty-four articles identified through a search and bibliography reviews met the inclusion criteria. All articles were published on or after 2010, with 80% published after 2015. Most studies evaluated primary prevention interventions in disease areas such as cancer, infectious diseases, and cardiovascular disease. Equity impact analysis alone was the most common equity-informative CEA (56%), followed by equity impact analysis with financial protection effects (30%). At least 11 different equity criteria have been used in equity-informative CEAs; socioeconomic status and race/ethnicity were used most frequently. Seventy-eight percent of studies reported finding "greater value" in an intervention after examining its distributional effects. CONCLUSION: The number of equity-informative CEAs is increasing, and the wide range of equity criteria, diseases, interventions, settings, and populations represented suggests that broad application of these methods is feasible but will require further refinement. Inclusion of equity into CEAs may shift the value of evaluated interventions and can provide crucial additional information for decision makers.

Cost-effectiveness of alcohol use treatments in patients with alcohol-related cirrhosis.

BACKGROUND & AIMS: Alcohol use treatment such as medication-assisted therapies (MATs) and counseling are available and effective in promoting alcohol abstinence. We sought to explore the cost-effectiveness of different alcohol use treatments among patients with compensated alcohol-related cirrhosis (AC). METHODS: We simulated a cohort of patients with compensated AC receiving care from a hepatology clinic over their lifetimes. We estimated costs (in 2017 US$) and benefits in terms of quality-adjusted life years (QALYs) gained from healthcare and societal perspectives. Transition probabilities, costs, and health utility weights were taken from the literature. Treatment effects of FDA-approved MATs (acamprosate and naltrexone) and non-FDA approved MATs (baclofen, gabapentin, and topiramate) and counseling were based on a study of employer-insured patients with AC. We calculated incremental cost-effectiveness ratios (ICERs) and performed one-way and probabilistic sensitivity analyses to understand the impact of parameter uncertainty. RESULTS: Compared to a do-nothing scenario, MATs and counseling were found to be cost-saving from a healthcare perspective, which means that they provide more benefits with less costs than no intervention. Compared to other interventions, acamprosate and naltrexone cost the least and provide the most QALYs. If the effectiveness of MATs and counseling decreased, these interventions would still be cost-effective based on the commonly used $100,000 per QALY gained threshold. Several sensitivity and scenario analyses showed that our main findings are robust. CONCLUSIONS: Among patients with compensated AC, MATs and counseling are extremely cost-effective, and in some cases cost-saving, interventions to prevent decompensation and improve health. Health policies (e.g. payer reimbursement) should emphasize and appropriately compensate for these interventions. LAY SUMMARY: Alcohol use treatments, including physician counseling and medication-assisted therapies (MATs), improve the outcomes of patients with compensated alcohol-related cirrhosis, though use and access have remained suboptimal. In this study, we found that counseling and MATs are extremely cost-effective, and in some cases cost-saving, interventions to help patients with alcohol-related cirrhosis abstain from alcohol and improve their health. Wider use of these interventions should be encouraged.

Optimization Models for HIV/AIDS Resource Allocation: A Systematic Review.

OBJECTIVE: This study reviews optimization models for human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) resource allocation. METHODS: We searched 2 databases for peer-reviewed articles published from January 1985 through August 2019 that describe optimization models for resource allocation in HIV/AIDS. We included models that consider 2 or more competing HIV/AIDS interventions. We extracted data on selected characteristics and identified similarities and differences across models. We also assessed the quality of mathematical disease transmission models based on the best practices identified by a 2010 task force. RESULTS: The final qualitative synthesis included 23 articles that used 14 unique optimization models. The articles shared several characteristics, including the use of dynamic transmission modeling to estimate health benefits and the inclusion of specific high-risk groups in the study population. The models explored similar HIV/AIDS interventions that span primary and secondary prevention and antiretroviral treatment. Most articles were focused on sub-Saharan African countries (57%) and the United States (39%). There was notable variation in the types of optimization objectives across the articles; the most common was minimizing HIV incidence or maximizing infections averted (87%). Articles that utilized mathematical modeling of HIV disease and transmission displayed variable quality. CONCLUSIONS: This systematic review of the literature identified examples of optimization models that have been applied in different settings, many of which displayed similar features. There were similarities in objective functions across optimization models, but they did not align with global HIV/AIDS goals or targets. Future work should be applied in countries facing the largest declines in HIV/AIDS funding.

Unintended Consequences and Hidden Obstacles in Medicine Access in Sub-Saharan Africa.

Many life-saving drugs are still inaccessible and unaffordable in low- and middle-income countries, particularly in Sub-Saharan Africa. This contributes to poor health outcomes, wider health and socioeconomic inequities, and higher patient spending on healthcare. While resource limitations facing national regulatory authorities (NRAs) contribute to the problem, we believe that (1) fragmented and complex drug regulations, (2) suboptimal enforcement of existing regulations, and (3) poorly designed disincentives for non-compliance play a larger role. These "unintended consequences" that are a direct result of our current regulatory regimes limit competition, keep drug costs high, and lead to shortages and the proliferation of illegitimate and unregistered drugs. While NRAs can gain a lot from increased investment in their work, regulatory harmonization and innovation can arrest and reverse the regulatory failures we still see today and improve medicine access in Africa. Unfortunately, harmonization initiatives in Sub-Saharan Africa have made modest impact and have done so slowly. We encourage greater attention and investment in harmonization and other downstream functions of NRAs. We also urge increased participation of national governments-particularly executive agencies in health and the treasury-and patient advocacy groups in advancing harmonization across the subcontinent.

Malaria elimination transmission and costing in the Asia-Pacific: Developing an investment case.

Background: The Asia-Pacific region has made significant progress against malaria, reducing cases and deaths by over 50% between 2010 and 2015. These gains have been facilitated in part, by strong political and financial commitment of governments and donors. However, funding gaps and persistent health system challenges threaten further progress. Achieving the regional goal of malaria elimination by 2030 will require an intensification of efforts and a plan for sustainable financing. This article presents an investment case for malaria elimination to facilitate these efforts. Methods: A transmission model was developed to project rates of decline of Plasmodium falciparum and Plasmodium vivax malaria and the output was used to determine the cost of the interventions that would be needed for elimination by 2030. In total, 80 scenarios were modelled under various assumptions of resistance and intervention coverage. The mortality and morbidity averted were estimated and health benefits were monetized by calculating the averted cost to the health system, individual households, and society. The full-income approach was used to estimate the economic impact of lost productivity due to premature death and illness, and a return on investment was computed. Results: The study estimated that malaria elimination in the region by 2030 could be achieved at a cost of USD 29.02 billion (range: USD 23.65-36.23 billion) between 2017 and 2030. Elimination would save over 400,000 lives and avert 123 million malaria cases, translating to almost USD 90 billion in economic benefits. Discontinuing vector control interventions and reducing treatment coverage rates to 50% will result in an additional 845 million cases, 3.5 million deaths, and excess costs of USD 7 billion. Malaria elimination provides a 6:1 return on investment. Conclusion: This investment case provides compelling evidence for the benefits of continued prioritization of funding for malaria and can be used to develop an advocacy strategy.

Cost-effectiveness analysis of a physician deployment program to improve access to healthcare in rural and underserved areas in the Philippines.

OBJECTIVES: The objective of this study is to explore the cost-effectiveness of Doctor to the Barrios (DTTB), a physician deployment program in the Philippines. DESIGN: Cost-effectiveness analysis using decision tree models with a lifetime time horizon and probabilistic sensitivity analysis. SETTING: Societal and healthcare perspectives. POPULATION: Hypothetical cohort of children under 5 years in two provinces (Aklan and Nueva Ecija) and in a representative rural municipality. PARTICIPANTS: None. INTERVENTIONS: DTTB's impact on paediatric pneumonia and diarrhoea outcomes compared with a scenario without DTTB. MAIN OUTCOME MEASURES: Costs, effectiveness (in terms of lives saved and quality-adjusted life years (QALYs) gained) and incremental cost-effectiveness ratio (ICER). RESULTS: DTTB is cost-effective in the two provinces that were included in the study from societal and healthcare perspectives. Looking at a representative rural municipality, base case analysis and probabilistic sensitivity analyses suggest that DTTB has an ICER of 27 192 per QALY gained from a societal perspective. From a healthcare perspective, the base case ICER of DTTB is Philippine pesos (PHP) 71 839 per QALY gained and PHP 2 064 167 per life saved, and 10 000 Monte Carlo simulations produced similar average estimates. The cost per QALY of DTTB from a healthcare perspective is lower than the WHO recommended willingness-to-pay threshold of 100% of the country's per-capita gross domestic product. CONCLUSIONS: DTTB can be a cost-effective intervention, but its value varies by setting and the conditions of the municipality where it is implemented. By focusing on a narrow set of paediatric outcomes, this study has likely underestimated the health benefits of DTTB. Additional research is needed to understand the full extent of DTTB's impact on the health of communities in rural and remote areas. Future cost-effectiveness analysis should empirically estimate various parameters and include other health conditions in addition to pneumonia and diarrhoea in children.

Engaging the private sector in malaria surveillance: a review of strategies and recommendations for elimination settings.

BACKGROUND: In malaria elimination settings, all malaria cases must be identified, documented and investigated. To facilitate complete and timely reporting of all malaria cases and effective case management and follow-up, engagement with private providers is essential, particularly in settings where the private sector is a major source of healthcare. However, research on the role and performance of the private sector in malaria diagnosis, case management and reporting in malaria elimination settings is limited. Moreover, the most effective strategies for private sector engagement in malaria elimination settings remain unclear. METHODS: Twenty-five experts in malaria elimination, disease surveillance and private sector engagement were purposively sampled and interviewed. An extensive review of grey and peer-reviewed literature on private sector testing, treatment, and reporting for malaria was performed. Additional in-depth literature review was conducted for six case studies on eliminating and neighbouring countries in Southeast Asia and Southern Africa. RESULTS: The private health sector can be categorized based on their commercial orientation or business model (for-profit versus nonprofit) and their regulation status within a country (formal vs informal). A number of potentially effective strategies exist for engaging the private sector. Conducting a baseline assessment of the private sector is critical to understanding its composition, size, geographical distribution and quality of services provided. Facilitating reporting, referral and training linkages between the public and private sectors and making malaria a notifiable disease are important strategies to improve private sector involvement in malaria surveillance. Financial incentives for uptake of rapid diagnostic tests and artemisinin-based combination therapy should be combined with training and community awareness campaigns for improving uptake. Private sector providers can also be organized and better engaged through social franchising, effective regulation, professional organizations and government outreach. CONCLUSION: This review highlights the importance of engaging private sector stakeholders early and often in the development of malaria elimination strategies.

Mapping healthcare systems: a policy relevant analytic tool.

Background: In the past decade, an international consensus on the value of well-functioning systems has driven considerable health systems research. This research falls into two broad categories. The first provides conceptual frameworks that take complex healthcare systems and create simplified constructs of interactions and functions. The second focuses on granular inputs and outputs. This paper presents a novel translational mapping tool - the University of California, San Francisco mapping tool (the Tool) - which bridges the gap between these two areas of research, creating a platform for multi-country comparative analysis. Methods: Using the Murray-Frenk framework, we create a macro-level representation of a country's structure, focusing on how it finances and delivers healthcare. The map visually depicts the fundamental policy questions in healthcare system design: funding sources and amount spent through each source, purchasers, populations covered, provider categories; and the relationship between these entities. Results: We use the Tool to provide a macro-level comparative analysis of the structure of India's and Thailand's healthcare systems. Conclusions: As part of the systems strengthening arsenal, the Tool can stimulate debate about the merits and consequences of different healthcare systems structural designs, using a common framework that fosters multi-country comparative analyses.

An Investment Case to Prevent the Reintroduction of Malaria in Sri Lanka.

Sri Lanka has made remarkable gains in reducing the burden of malaria, recording no locally transmitted malaria cases since November 2012 and zero deaths since 2007. The country was recently certified as malaria free by World Health Organization in September 2016. Sri Lanka, however, continues to face a risk of resurgence due to persistent receptivity and vulnerability to malaria transmission. Maintaining the gains will require continued financing to the malaria program to maintain the activities aimed at preventing reintroduction. This article presents an investment case for malaria in Sri Lanka by estimating the costs and benefits of sustaining investments to prevent the reintroduction of the disease. An ingredient-based approach was used to estimate the cost of the existing program. The cost of potential resurgence was estimated using a hypothetical scenario in which resurgence assumed to occur, if all prevention of reintroduction activities were halted. These estimates were used to compute a benefit-cost ratio and a return on investment. The total economic cost of the malaria program in 2014 was estimated at U.S. dollars (USD) 0.57 per capita per year with a financial cost of USD0.37 per capita. The cost of potential malaria resurgence was, however, much higher estimated at 13 times the cost of maintaining existing activities or 21 times based on financial costs alone. This evidence suggests a substantial return on investment providing a compelling argument for advocacy for continued prioritization of funding for the prevention of reintroduction of malaria in Sri Lanka.

The economics of malaria control and elimination: a systematic review.

BACKGROUND: Declining donor funding and competing health priorities threaten the sustainability of malaria programmes. Elucidating the cost and benefits of continued investments in malaria could encourage sustained political and financial commitments. The evidence, although available, remains disparate. This paper reviews the existing literature on the economic and financial cost and return of malaria control, elimination and eradication. METHODS: A review of articles that were published on or before September 2014 on the cost and benefits of malaria control and elimination was performed. Studies were classified based on their scope and were analysed according to two major categories: cost of malaria control and elimination to a health system, and cost-benefit studies. Only studies involving more than two control or elimination interventions were included. Outcomes of interest were total programmatic cost, cost per capita, and benefit-cost ratios (BCRs). All costs were converted to 2013 US$ for standardization. RESULTS: Of the 6425 articles identified, 54 studies were included in this review. Twenty-two were focused on elimination or eradication while 32 focused on intensive control. Forty-eight per cent of studies included in this review were published on or after 2000. Overall, the annual per capita cost of malaria control to a health system ranged from $0.11 to $39.06 (median: $2.21) while that for malaria elimination ranged from $0.18 to $27 (median: $3.00). BCRs of investing in malaria control and elimination ranged from 2.4 to over 145. CONCLUSION: Overall, investments needed for malaria control and elimination varied greatly amongst the various countries and contexts. In most cases, the cost of elimination was greater than the cost of control. At the same time, the benefits of investing in malaria greatly outweighed the costs. While the cost of elimination in most cases was greater than the cost of control, the benefits greatly outweighed the cost. Information from this review provides guidance to national malaria programmes on the cost and benefits of malaria elimination in the absence of data. Importantly, the review highlights the need for more robust economic analyses using standard inputs and methods to strengthen the evidence needed for sustained financing for malaria elimination.