Individual choices and universal rights for drinking water in rural Africa.

More than 500 million rural Africans lack safe drinking water. The human right to water and United Nations Sustainable Development Goal SDG6.1 promote a policy shift from building water infrastructure to sustaining water services. However, the financial calculus is bleak with the costs of "safely managed"' or "basic" water services in rural Africa beyond current government budgets and donor funds. The funding shortfall is compounded by the disappointing results of earlier policy initiatives in Africa. This is partly because of a failure to understand which attributes of water services rural people value. We model more than 11,000 choice observations in rural Kenya by attributes of drinking water quality, price, reliability, and proximity. Aggregate analysis disguises alternative user priorities in three choice classes. The two larger choice classes tolerate lower service levels with higher payments. A higher water service level reflects the smallest choice class favored by women and the lower wealth group. For the lower wealth group, slower repair times are accepted in preference to a lower payment. Some people discount potable water and proximity, and most people choose faster repair times and lower payments. We argue policy progress needs to chart common ground between individual choices and universal rights. Guaranteeing repair times may provide a policy lever to unlock individual payments to complement public investment in water quality and waterpoint proximity to support progressive realization of a universal right.

Custeio por absorção: gestão de custos hospitalares / Absorption costs: hospital cost management

O Sistema único de Saúde (SUS) tem o desafio de equilibrar uma crescente demanda de serviços de saúde de um país de proporções continentais como o Brasil, frente à necessidade de administrar recursos escassos, considerando a complexidade das instituições de saúde (DELA PASE, 2015), e enfrentando ainda limitações na qualidade da atenção, na incorporação de novas tecnologias, na gestão de seus recursos e na distribuição equitativa dos serviços (LAFORGIA, 2009, apud MPMA, 2017). Diante deste cenário, o Ministério da Saúde (MS) instituiu o Programa Nacional de Gestão de Custos (PNGC), tendo por objetivo promover a cultura de gestão de custos no âmbito do SUS, com foco na qualidade do gasto, oferecendo ferramentas e capacitação para auxiliar os gestores na melhoria dos processos, para produzir informação gerencial e apoiar a tomada de decisões (BRASIL, 2018).

The Unified Health System (SUS) has the challenge of balancing a growing demand for health services in a country of continental proportions such as Brazil, given the need to manage scarce resources, considering the complexity of health institutions (DELA PASE, 2015), and also facing limitations in the quality of care, in the incorporation of new technologies, in the management of its resources and in the equitable distribution of services (LAFORGIA , 2009, apud MPMA, 2017). Given this scenario, the Ministry of Health (MS) instituted the National Cost Management Program (PNGC), aiming to promote the culture of cost management within the SUS, focusing on the quality of spending, offering tools and training to assist managers in improving processes, to produce management information and support decision-making (BRASIL, 2018).

The impact of global budget payment reform on systemic overuse in Maryland.

BACKGROUND: Medical overuse is a leading contributor to the high cost of the US health care system and is a definitive misuse of resources. Elimination of overuse could improve health care efficiency. In 2014, the State of Maryland placed the majority of its hospitals under an all-payer, annual, global budget for inpatient and outpatient hospital services. This program aims to control hospital use and spending. OBJECTIVE: To assess whether the Maryland global budget program was associated with a reduction in the broad overuse of health care services. METHODS: We conducted a retrospective analysis of deidentified claims for 18-64 year old adults from the IBM MarketScan® Commercial Claims and Encounters Database. We matched 2 Maryland Metropolitan Statistical Areas (MSAs) to 6 out-of-state comparison MSAs. In a difference-in-differences analysis, we compared changes in systemic overuse in Maryland vs the comparison MSAs before (2011-2013) and after implementation (2014-2015) of the global budget program. Systemic overuse was measured using a semiannual Johns Hopkins Overuse Index. RESULTS: Global budgets were not associated with a reduction in systemic overuse. Over the first 1.5 years of the program, we estimated a nonsignificant differential change of -0.002 points (95%CI, -0.372 to 0.369; p = 0.993) relative to the comparison group. This result was robust to multiple model assumptions and sensitivity analyses. CONCLUSIONS: We did not find evidence that Maryland hospitals met their revenue targets by reducing systemic overuse. Global budgets alone may be too blunt of an instrument to selectively reduce low-value care.

Estimating Downstream Budget Impacts in Implementation Research.

Health care decision makers often request information showing how a new treatment or intervention will affect their budget (i.e., a budget impact analysis; BIA). In this article, we present key topics for considering how to measure downstream health care costs, a key component of the BIA, when implementing an evidence-based program designed to reduce a quality gap. Tracking health care utilization can be done with administrative or self-reported data, but estimating costs for these utilization data raises 2 issues that are often overlooked in implementation science. The first issue has to do with applicability: are the cost estimates applicable to the health care system that is implementing the quality improvement program? We often use national cost estimates or average payments, without considering whether these cost estimates are appropriate. Second, we need to determine the decision maker's time horizon to identify the costs that vary in that time horizon. If the BIA takes a short-term time horizon, then we should focus on costs that vary in the short run and exclude costs that are fixed over this time. BIA is an increasingly popular tool for health care decision makers interested in understanding the financial effect of implementing an evidence-based program. Without careful consideration of some key conceptual issues, we run the risk of misleading decision makers when presenting results from implementation studies.

Limitations and Challenges of Conducting Budget Impact Analyses in Rare Diseases: A Case Study of Alpha-1 Antitrypsin Deficiency.

OBJECTIVES: There are challenges in conducting a budget impact analysis (BIA) for rare disorders. Through this case study, we present some challenges and limitations of a BIA of managing patients affected with alpha-1 antitrypsin deficiency (AATD). We explored a conceptual basis and barriers for health services researchers interested in quantifying budget impacts of rare disease management program (DMP). METHODS: We developed a static budget impact cost calculator model in Microsoft Excel, obtaining the clinical impact of a DMP from the literature and translating it into costs using OLDW. Cost inputs and resource use was obtained from 2010 to 2015 claims data using the OLDW. Insurers' payments were calculated and categorized into the following cost buckets: physician visits, emergency room visits, inpatients stays, augmentation therapy, other prescription drugs costs, and other costs. RESULTS: Data were based on 6832 patients with alpha-1 antitrypsin deficiency identified among over 21 million OLDW enrollees observed between January 1, 2010, and December 31, 2015. The introduction of a DMP was estimated to decrease costs of the management of patients with alpha-1 antitrypsin deficiency by $13.5 million over 5 years. The savings attributed to the program over the 5-year time horizon are due to 2555 exacerbations, 5180 emergency room visits, 9342 specialist visits, and 105 358 general practitioner visits avoided. CONCLUSIONS: A comprehensive DMP for a rare condition might provide cost savings to a health plan. BIAs for rare disease may be more informative if they focus on DMPs rather than on individual drugs.

Optimal Allocation of Research Funds under a Budget Constraint.

Purpose. Health economic evaluations that include the expected value of sample information support implementation decisions as well as decisions about further research. However, just as decision makers must consider portfolios of implementation spending, they must also identify the optimal portfolio of research investments. Methods. Under a fixed research budget, a decision maker determines which studies to fund; additional budget allocated to one study to increase the study sample size implies less budget available to collect information to reduce decision uncertainty in other implementation decisions. We employ a budget-constrained portfolio optimization framework in which the decisions are whether to invest in a study and at what sample size. The objective is to maximize the sum of the studies' population expected net benefit of sampling (ENBS). We show how to determine the optimal research portfolio and study-specific levels of investment. We demonstrate our framework with a stylized example to illustrate solution features and a real-world application using 6 published cost-effectiveness analyses. Results. Among the studies selected for nonzero investment, the optimal sample size occurs at the point at which the marginal population ENBS divided by the marginal cost of additional sampling is the same for all studies. Compared with standard ENBS optimization without a research budget constraint, optimal budget-constrained sample sizes are typically smaller but allow more studies to be funded. Conclusions. The budget constraint for research studies directly implies that the optimal sample size for additional research is not the point at which the ENBS is maximized for individual studies. A portfolio optimization approach can yield higher total ENBS. Ultimately, there is a maximum willingness to pay for incremental information that determines optimal sample sizes.

The Effects of Global Budgeting on Emergency Department Admission Rates in Maryland.

STUDY OBJECTIVE: In 2014, Maryland launched a population-based payment model that replaced fee-for-service payments with global budgets for all hospital-based services. This global budget revenue program gives hospitals strong incentives to tightly control patient volume and meet budget targets. We examine the effects of the global budget revenue model on rates of admission to the hospital from emergency departments (EDs). METHODS: We used medical record and billing data to examine adult ED encounters from January 1, 2012, to December 31, 2015, in 25 hospital-based EDs, including 10 Maryland global budget revenue hospitals, 10 matched non-Maryland hospitals (primary control), and 5 Maryland Total Patient Revenue hospitals (secondary control). Total Patient Revenue hospitals adopted global budgeting in 2010 under a pilot Maryland program targeting rural hospitals. We conducted difference-in-differences analyses for overall ED admission rates, ED admission rates for ambulatory-care-sensitive conditions and non-ambulatory-care-sensitive conditions, and for clinical conditions that commonly lead to admission. RESULTS: In 3,175,210 ED encounters, the ED admission rate for Maryland global budget revenue hospitals decreased by 0.6% (95% confidence interval -0.8% to -0.4%) compared with that for non-Maryland controls after global budget revenue implementation, a 3.0% relative decline, and decreased by 1.9% (95% confidence interval -2.2% to -1.7%) compared with that for Total Patient Revenue hospitals, a 9.5% relative decline. Relative declines in ED admission rates were similar for ambulatory-care-sensitive-condition and non-ambulatory-care-sensitive-condition encounters. Admission rate declines varied across clinical conditions. CONCLUSION: Implementation of the global budget revenue model led to statistically significant although modest declines in ED admission rates within its first 2 years, with declines in ED admissions most pronounced among certain clinical conditions.

Projections up to 2100 and a budget optimisation strategy towards cervical cancer elimination in China: a modelling study.

BACKGROUND: The incidence of cervical cancer in China is increasing rapidly. We aimed to forecast the age-standardised incidence of cervical cancer in China up to 2100, and to determine the optimal strategy to eliminate cervical cancer under different budget scenarios. METHODS: In our modelling study, we developed an adapted and calibrated hybrid model to estimate the incidence of cervical cancer in urban and rural China until 2100. All 1·15 billion Chinese women living or projected to live during 2015-2100, under the projected trends in ageing, urbanisation, and sexual activity were considered. We assessed several scenarios of budget constraints (a current budget [2012-18], twice the current budget, and no budget constraints), implementation of human papillomavirus vaccination (with different target populations and coverage), and cervical cancer screening characteristics (with different target ages, screening intervals, and coverage). We used a budget optimisation process to select the best available combinations of vaccination and screening. The primary outcomes were the annual incidence of cervical cancer in 2015-2100, and the year of elimination (the first year in which the incidence was expected to be lower than four new cases per 100 000 women). FINDINGS: Under the current strategy, by 2100, the age-standardised incidence of cervical cancer is projected to increase to three times the incidence in 2015. However, if China adopts an optimal strategy under the current budget from 2020 onwards (namely, introducing vaccination of 95% coverage for girls aged 12 years, and expanding coverage of once in a lifetime screening for women aged 45 years of 90% in urban areas and 33% in rural areas), the annual age-standardised incidence of cervical cancer is predicted to decrease to fewer than four new cases per 100 000 women (ie, elimination) by 2072 (95% CI 2070-74) in urban China and 2074 (2072-76) in rural China. If the current budget were doubled from 2020 onwards, elimination would be achieved by 2063 (2059-66) in urban China and 2069 (2066-71) in rural China. The earliest possible year of cervical cancer elimination would be 2057 (2053-60) in urban China and 2060 (2057-63) in rural China, if vaccination coverage for girls aged 12 years and coverage of screening at 5-year intervals for women aged 35-64 years was maximised, with no budgetary restrictions. INTERPRETATION: Cervical cancer incidence in China will continue to increase under current cervical cancer prevention strategies. However, under our budget optimisation strategy from 2020 onwards, cervical cancer could be eliminated as a public health problem by the early 2070s. Elimination could be achieved by the late 2050s by increasing the budget towards vaccination against human papillomavirus and cervical cancer screening. FUNDING: National Natural Science Foundation of China and Chinese Academy of Medical Science Initiative for Innovative Medicine.

Building a stakeholder-led common vision increases the expected cost-effectiveness of biodiversity conservation.

Uniting diverse stakeholders through communication, education or building a collaborative 'common vision' for biodiversity management is a recommended approach for enabling effective conservation in regions with multiple uses. However, socially focused strategies such as building a collaborative vision can require sharing scarce resources (time and financial resources) with the on-ground management actions needed to achieve conservation outcomes. Here we adapt current prioritisation tools to predict the likely return on the financial investment of building a stakeholder-led vision along with a portfolio of on-ground management strategies. Our approach brings together and analyses expert knowledge to estimate the cost-effectiveness of a common vision strategy and on-ground management strategies, before any investments in these strategies are made. We test our approach in an intensively-used Australian biodiversity hotspot with 179 threatened or at-risk species. Experts predicted that an effective stakeholder vision for the region would have a relatively low cost and would significantly increase the feasibility of on-ground management strategies. As a result, our analysis indicates that a common vision is likely to be a cost-effective investment, increasing the expected persistence of threatened species in the region by 9 to 52%, depending upon the strategies implemented. Our approach can provide the maximum budget that is worth investing in building a common vision or another socially focused strategy for building support for on-ground conservation actions. The approach can assist with decisions about whether and how to allocate scarce resources amongst social and ecological actions for biodiversity conservation in other regions worldwide.

The contingent use of cell-free fetal DNA for prenatal screening of trisomies 21, 18, 13 in pregnant women within a national health service: A budget impact analysis.

OBJECTIVE: Non-invasive prenatal testing (NIPT) based on cell-free fetal DNA (cffDNA) is highly accurate in the detection of common fetal autosomal trisomies. Aim of this project was to investigate short-term costs and clinical outcomes of the contingent use of cffDNA for prenatal screening of trisomies 21, 18, 13 within a national health service (NHS). METHODS: An economic analysis was developed from the perspective of the Italian NHS to compare two possible scenarios for managing pregnant women: women managed according to the Standard of Care screening (SoC) vs a cffDNA scenario, where Harmony Prenatal Test was introduced as a second line screening choice for women with an "at risk" result from SoC screening. RESULTS: The introduction of cffDNA as a second line screening test, conditional to a risk ≥ 1:1,000 from SoC screening, showed a 3% increase in the detection of trisomies, with a 71% decrease in the number of invasive tests performed. Total short-term costs (pregnancy management until childbirth) decreased by € 19 million (from € 84.5 to 65.5 million). CONCLUSION: The adoption of the Harmony Prenatal Test in women resulting at risk from SoC screening, implied a greater number of trisomies detection, together with a reduction of the healthcare costs.

Service costs and mental health self-direction: Findings from consumer recovery investment fund self-directed care.

OBJECTIVE: Mental health self-direction, also known as self-directed care, involves an individual budget controlled by the participant with support from a specially trained recovery coach. The model under study here, implemented in a Medicaid behavioral health managed care context, allowed individuals to intentionally reduce mental health service use and apply cost savings as "Freedom Funds" to purchase a range of goods and services that are not typically considered mental health services to support recovery. This pre-post study examined mental health service utilization and cost before and after participating in self-direction. METHODS: The study involved Medicaid claims data for 45 self-directing participants over a 3-year period. Bivariate statistics were computed to identify meaningful pre-post differences in service utilization and standardized monthly costs. RESULTS: Median standardized monthly mental health clinical outpatient costs were significantly lower after self-direction participation compared to before. Participants spent a mean of $182 per month in Freedom Funds to purchase a range of nonclinical goods and services to work toward recovery goals. Total service costs-including Freedom Funds used during self-direction-did not differ significantly before and after program participation. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Findings from this modest pre-post examination of self-direction suggest that mental health self-direction can result in more person-driven, individualized services without increasing costs. More research is needed to examine the cost-effectiveness of self-direction and to understand how program design and implementation factors influence the relationship between self-direction and service costs. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Standardized Cost Estimates for Home Visiting: Pilot Study of the Home Visiting Budget Assistance Tool (HV-BAT).

Purpose Using a standardized approach and metrics to estimate home visiting costs across multiple evidence-based models and regions could improve the consistency and accuracy of cost estimates, allow stakeholders to observe trends in cost allocation, analyze how home visiting costs vary, and develop future program budgets. Between October 2015 and December 2018, we developed and pilot-tested the Home Visiting Budget Assistance Tool (HV-BAT) to standardize the collection of home visiting program costs and analyze costs for local implementing agencies (LIAs). Methods We recruited LIAs that implemented at least one of nine evidence-based home visiting models in 15 states implementing the Maternal, Infant, and Early Childhood Home Visiting (MIECHV) Program. LIAs reported their costs to implement a home visiting model using the HV-BAT and provided feedback on the tool. We estimated annual total cost and cost per family served for each LIA, examined cost summary statistics for the sample, and analyzed whether and how LIA characteristics affected home visiting costs using regression analyses. Results Of the 168 LIAs invited to participate in the HV-BAT pilot study, 75 agreed to participate, and 45 across 14 states completed the HV-BAT. We estimated home visiting costs of approximately $8500 per family per year, but costs varied across LIAs (range $1970-$39,770; standard deviation = $5794). The marginal cost of adding a family declined as the number of families served by an LIA increased. Feedback from LIAs indicated that users had difficulty providing some details on costs (e.g., mileage for specific services), needed more detailed instructions, and desired a summary of subtotals and total costs reported in the HV-BAT. Conclusions The HV-BAT provides an approach to standardize cost data collection for home visiting programs. Pilot study results indicate that there may be significant economies of scale for home visiting services. This study provides preliminary estimates of costs that can help in program planning and budgeting.

What happened to health service utilization, health care expenditures, and quality of care in patients with acute pancreatitis after implementation of global budgeting in Taiwan?

AIM: Acute pancreatitis is associated with significant morbidity and mortality. In the United States, more than 3,00,000 patients are admitted and about 20,000 die from acute pancreatitis per year. In Taiwan, the incidence rate of acute pancreatitis is 0.03% and the mortality rate among severe acute pancreatitis is 16.3%. The aim of the study was to evaluate the impact of the global budgeting system on health service utilization, health care expenditures, and quality of care among patients with acute pancreatitis in Taiwan. MATERIALS AND METHODS: The National Health Insurance Research Database (NHIRD) was used for analysis. Data on patients with acute pancreatitis diagnosed during the period 2000 and 2001 were used as baseline data, and data from 2004 and 2005 were used as post-intervention data. The length of stay (LOS), diagnostic costs, drug cost, therapy costs, total costs, risk of readmission within 14 days, and risk of revisiting the emergency department (ED) within 3 days of discharge before and after implementation of the global budgeting system were compared and analyzed. RESULTS: Data on 2810 patients with acute pancreatitis were analyzed in this study. There was a significant difference in mean LOS before and after introduction of the global budget system (7.34 ±â€Š0.22 days and 7.82 ±â€Š0.22 days, respectively; P < .001)). The mean total costs before and after implementation of the global budget system were Taiwan dollars (NT$) 28,290.66 ±â€Š1576.32 and NT$ 42,341.83 ±â€Š2285.23, respectively. The mean rate of revisiting the ED within 3 days decreased from 9.9 ±â€Š0.9% before adoption of global budgeting to 7.2 ±â€Š0.6% after implementation of the system. The mean 14-day re-admission rates before and after introduction of global budgeting were 11.6 ±â€Š1.0% and 7.9 ±â€Š0.7%, respectively. CONCLUSION: The global budget system was associated with significantly longer length of stay, higher health care expenditures, and better quality of care in patients treated for acute pancreatitis.

Sharing and the Provision of "Cost-Ineffective" Life-Extending Services to Less Severely Ill Patients.

BACKGROUND: Cost-utility analysis prioritizes services using cost, life-years, and the health state utility of the life-years. Nevertheless, a significant body of evidence suggests that the public would prefer more variables to be considered in decision making and at least some sharing of the budget with services for severe conditions that are not cost-effective because of their high cost. OBJECTIVES: To examine whether this preference for sharing persists for less severe conditions when both cost effectiveness and illness severity would indicate that resources should be allocated to other services. METHODS: Survey respondents were asked to divide a budget between two patients facing life-threatening illnesses. The severity of the illnesses differed and the price of treatment was varied. RESULTS: Sharing occurred in all scenarios including scenarios in which the illness was less severe and services were not cost-effective. Results are consistent with behavior commonly observed in other contexts. CONCLUSIONS: Results suggest that sharing per se is important and that the public would support some funding of cost-ineffective services for less severe health problems.

Reducing residential mortgage default: Should policy act before or after home purchases?

We examine two possible approaches to reducing residential mortgage default using a dynamic model of heterogeneous infinitely-lived agents acting optimally subject to uninsurable idiosyncratic earnings shocks and systemic house price shocks. We find higher down payments are very effective in minimizing residential mortgage foreclosures, even in periods of house price declines and recessions. In contrast, the length of the credit exclusionary period for people who experience bankruptcy or foreclosure has a much smaller impact on mortgage defaults. Thus, it is much more effective to prevent mortgage default before the mortgage closes than to pressure homeowners not to default once they are in financial trouble. This also suggests a major aspect of credit scores and credit policy is non-productive and punitive, harming people in return for little societal gain.

Use of programme budgeting and marginal analysis to set priorities for local NHS dental services: learning from the north east of England.

Background: Priority setting is necessary where competing demands exceed the finite resources available. The aim of the study was to develop and test a prioritization framework based upon programme budgeting and marginal analysis (PBMA) as a tool to assist National Health Service (NHS) commissioners in their management of resources for local NHS dental services. Methods: Twenty-seven stakeholders (5 dentists, 8 commissioners and 14 patients) participated in a case-study based in a former NHS commissioning organization in the north of England. Stakeholders modified local decision-making criteria and applied them to a number of different scenarios. Results: The majority of financial resources for NHS dental services in the commissioning organization studied were allocated to primary care dental practitioners' contracts in perpetuity, potentially constraining commissioners' abilities to shift resources. Compiling the programme budget was successful, but organizational flux and difficulties engaging local NHS commissioners significantly impacted upon the marginal analysis phase. Conclusions: NHS dental practitioners' contracts resemble budget-silos which do not facilitate local resource reallocation. 'Context-specific' factors significantly challenged the successful implementation and impact of PBMA. A local PBMA champion embedded within commissioning organizations should be considered. Participants found visual depiction of the cost-value ratio helpful during their initial priority setting deliberations.

The new study leave and study budget system for trainees: what you need to know.

On 1 April 2018, Health Education England launched a new system for study leave and study budget, following concerns raised by trainees regarding the previous system. This article reviews these significant changes, highlighting the reasons provided for this overhaul, and looks ahead to the potential benefits and drawbacks of this new system.