Past local government health spending was not correlated with COVID-19 control in US counties.

CONTEXT: Wide variation in state and county health spending prior to 2020 enables tests of whether historically better state and locally funded counties achieved faster control over COVID-19 in the first 6 months of the pandemic in the Unites States prior to federal supplemental funding. OBJECTIVE: We used time-to-event and generalized linear models to examine the association between pre-pandemic state-level public health spending, county-level non-hospital health spending, and effective COVID-19 control at the county level. We include 2,775 counties that reported 10 or more COVID-19 cases between January 22, 2020, and July 19, 2020, in the analysis. MAIN OUTCOME MEASURE: Control of COVID-19 was defined by: (i) elapsed time in days between the 10th case and the day of peak incidence of a county's local epidemic, among counties that bent their case curves, and (ii) doubling time of case counts within the first 30 days of a county's local epidemic for all counties that reported 10 or more cases. RESULTS: Only 26% of eligible counties had bent their case curve in the first 6 months of the pandemic. Government health spending at the county level was not associated with better COVID-19 control in terms of either a shorter time to peak in survival analyses, or doubling time in generalized linear models. State-level public spending on hazard preparation and response was associated with a shorter time to peak among counties that were able to bend their case incidence curves. CONCLUSIONS: Increasing resource availability for public health in local jurisdictions without thoughtful attention to bolstering the foundational capabilities inside health departments is unlikely to be sufficient to prepare the country for future outbreaks or other public health emergencies.

Cost-effectiveness analysis of a large-scale crèche intervention to prevent child drowning in rural Bangladesh.

BACKGROUND: Drowning is the leading cause of death among children 12-59 months old in rural Bangladesh. This study evaluated the cost-effectiveness of a large-scale crèche (daycare) intervention in preventing child drowning. METHODS: The cost of the crèches intervention was evaluated using an ingredients-based approach and monthly expenditure data collected prospectively throughout the study period from two agencies implementing the intervention in different study areas. The estimate of the effectiveness of the crèches intervention was based on a previous study. The study evaluated the cost-effectiveness from both a program and societal perspective. RESULTS: From the program perspective the annual operating cost of a crèche was $416.35 (95% CI: $221 to $576), the annual cost per child was $16 (95% CI: $8 to $23), and the incremental-cost-effectiveness ratio (ICER) per life saved with the crèches was $17,008 (95% CI: $8817 to $24,619). From the societal perspective (including parents time valued) the ICER per life saved was - $166,833 (95% CI: - $197,421 to - $141,341)-meaning crèches generated net economic benefits per child enrolled. Based on the ICER per disability-adjusted-life years averted from the societal perspective (excluding parents time), $1978, the crèche intervention was cost-effective even when the societal economic benefits were ignored. CONCLUSIONS: Based on the evidence, the crèche intervention has great potential for generating net societal economic gains by reducing child drowning at a program cost that is reasonable.

County health outcomes linkage to county spending on social services, building infrastructure, and law and order.

Will counties that reallocate money from law enforcement to social services improve subsequent markers of population wellbeing? In this study, we measure the association between county government spending across multiple sectors and Life Expectancy at Birth (LEB) in the U.S. using data from the U.S. Census Bureau. We constructed a Structural Equation Model to determine whether social expenditure, building infrastructure, and spending on law and order were positively or negatively associated with LEB three-years after initial spending. The analysis compared data between 2002-05 and 2007-10 and was stratified for urban and rural counties. In rural counties, a one-standard-deviation increase in social spending increased subsequent LEB by 0.58 (SE 0.16) and 0.36 (SE 0.16) years in 2005 and 2010, respectively. In urban counties, a one-standard-deviation increase in building infrastructure spending increased subsequent LEB by 1.14 (SE 0.51) and 1.05 (SE 0.49) years in 2005 and 2010, respectively. In 2002, a one-standard-deviation increase in law and order spending significantly decreased subsequent life expectancy, 2.2 (SE 1.27) and 0.46 (SE 0.13) years in urban and rural counties, respectively. Similarly, investments in building infrastructure for urban counties and social services for rural counties were associated with subsequently higher life expectancy three years later after initial investments.

US Public Health Neglected: Flat Or Declining Spending Left States Ill Equipped To Respond To COVID-19.

The COVID-19 pandemic has prompted concern about the integrity of the US public health infrastructure. Federal, state, and local governments spend $93 billion annually on public health in the US, but most of this spending is at the state level. Thus, shoring up gaps in public health preparedness and response requires an understanding of state spending. We present state spending trends in eight categories of public health activity from 2008 through 2018. We obtained data from the Census Bureau for all states except California and coded the data by public health category. Although overall national health expenditures grew by 4.3 percent in this period, state governmental public health spending saw no statistically significant growth between 2008 and 2018 except in injury prevention. Moreover, state spending levels on public health were not restored after cuts experienced during the Great Recession, leaving states ill equipped to respond to COVID-19 and other emerging health needs.

Inaccuracy of Official Estimates of Public Health Spending in the United States, 2000-2018.

Objectives. To examine the accuracy of official estimates of governmental health spending in the United States.Methods. We coded approximately 2.7 million administrative spending records from 2000 to 2018 for public health activities according to a standardized Uniform Chart of Accounts produced by the Public Health Activities and Services Tracking project. The official US Public Health Activity estimate was recalculated using updated estimates from the data coding.Results. Although official estimates place governmental public health spending at more than $93 billion (2.5% of total spending on health), detailed examination of spending records from state governments shows that official estimates include substantial spending on individual health care services (e.g., behavioral health) and that actual spending on population-level public health activities is more likely between $35 billion and $64 billion (approximately 1.5% of total health spending).Conclusions. Clarity in understanding of public health spending is critical for characterizing its value proposition. Official estimates are likely tens of billions of dollars greater than actual spending.Public Health Implications. Precise and clear spending estimates are material for policymakers to accurately understand the effect of their resource allocation decisions.

The State of Rural Public Health: Enduring Needs in a New Decade.

Public health in the rural United States is a complex and underfunded enterprise. While urban-rural disparities have been a focus for researchers and policymakers alike for decades, inequalities continue to grow. Life expectancy at birth is now 1 to 2 years greater between wealthier urban and rural counties, and is as much as 5 years, on average, between wealthy and poor counties.This article explores the growth in these disparities over the past 40 years, with roots in structural, economic, and social spending differentials that have emerged or persisted over the same time period. Importantly, a focus on place-based disparities recognizes that the rural United States is not a monolith, with important geographic and cultural differences present regionally. We also focus on the challenges the rural governmental public health enterprise faces, the so-called "double disparity" of worse health outcomes and behaviors alongside modest investment in health departments compared with their nonrural peers.Finally, we offer 5 population-based "prescriptions" for supporting rural public health in the United States. These relate to greater investment and supporting rural advocacy to better address the needs of the rural United States in this new decade.

Tracking Time and Resources Associated with Systems Change and the Adoption of Evidence-Based Programs: The "Hidden Costs" of School-Based Coaching.

This study leveraged data from a 40-school randomized controlled trial to understand the cost of coaching to support implementation of evidence-based programs (EBPs) through a multi-tiered system of supports for behavior (MTSS-B) model. Coach activity log data were utilized to generate the annual average, per school, costs of coaching of $8198. The cost of school personnel time for coaching was estimated to be $3028. Data on coach-rated administrator buy-in, school MTSS-B engagement, and implementation infrastructure and capacity were also collected and found to be associated with coaching activities. Notably, coaches did not spend significantly different amounts of time in schools using few EBPs relative to more EBPs, indicating some inefficiency in the use of coaches' time. These findings highlight the often-overlooked resources needed to support EBP implementation in schools.

Willingness-to-pay for long-lasting insecticide-treated bed nets: a discrete choice experiment with real payment in Ghana.

BACKGROUND: Expanding access to long-lasting insecticidal nets (LLINs) is difficult if one is limited to government and donor financial resources. Private commercial markets could play a larger role in the continuous distribution of LLINs by offering differentiated LLINs to middle-class Ghanaians. This population segment has disposable income and may be willing to pay for LLINs that meet their preferences. Measuring the willingness-to-pay (WTP) for LLINs with specialty features that appeal to middle-class Ghanaians could help malaria control programmes understand what is the potential for private markets to work alongside fully subsidized LLIN distribution channels to assist in spreading this commodity. METHODS: This study conducted a discrete choice experiment (DCE) including a real payment choice among a representative sample of 628 middle-income households living in Ashanti, Greater Accra, and Western regions in Ghana. The DCE presented 18 paired combinations of LLIN features and various prices. Respondents indicated which LLIN of each pair they preferred and whether they would purchase it. To validate stated willingness-to-pay, each participant was given a cash payment of $14.30 (GHS 65) that they could either keep or immediately spend on one of the LLIN products. RESULTS: The households' average probability of purchasing a LLIN with specialty features was 43.8% (S.D. 0.07) and WTP was $7.48 (GHS34.0). The preferred LLIN features were conical or rectangular one-point-hang shape, queen size, and zipper entry. The average WTP for a LLIN with all the preferred features was $18.48 (GHS 84). In a scenario with the private LLIN market, the public sector outlay could be reduced by 39% and private LLIN sales would generate $8.1 million ($311 per every 100 households) in revenue in the study area that would support jobs for Ghanaian retailers, distributors, and importers of LLINs. CONCLUSION: Results support a scenario in which commercial markets for LLINs could play a significant role in improving access to LLINs for middle-income Ghanaians. Manufacturers interested could offer LLIN designs with features that are most highly valued among middle-income households in Ghana and maintain a retail price that could yield sufficient economic returns.

A MARGINAL COST ANALYSIS OF A BIG BROTHERS BIG SISTERS OF AMERICA YOUTH MENTORING PROGRAM: NEW EVIDENCE USING STATISTICAL ANALYSIS.

The objective of this study was to evaluate the cost of serving one additional youth in the Big Brothers Big Sisters of America (BBBS) program. We used a marginal cost approach which offers a significant improvement over previous methods based on average total cost estimates. The data consisted of eight years of monthly records from January 2008 to August 2015 obtained from program administrators at one BBBS site in the Mid-Atlantic. Results show that the BBBS marginal cost to serve one additional youth was $80 per mentor-month of BBBS mentoring (irrespective of program type). The cost to offer services for the average match duration of 19 months per marginal added youth was $1,503. The marginal costs per treated program participant in school-based versus community-based programs were $1,199 and $3,301, respectively. Marginal cost estimates are in the range of youth mentoring programs with significant returns on investment but are substantially higher than prior BBBS unit cost estimates reported using less robust estimation methods. This cost analysis can better inform policy makers and donors on the cost of expanding the scale of local BBBS programs as well as suggest opportunities for cost savings.

Medicaid Cost Savings of a Preventive Home Visit Program for Disabled Older Adults.

BACKGROUND/OBJECTIVES: Little is known about cost savings of programs that reduce disability in older adults. The objective was to determine whether the Community Aging in Place, Advancing Better Living for Elders (CAPABLE) program saves Medicaid more money than it costs to provide. DESIGN: Single-arm clinical trial (N = 204) with a comparison group of individuals (N = 2,013) dually eligible for Medicaid and Medicare matched on baseline geographic and demographic characteristics, chronic conditions, and healthcare use. We used finite mixture model regression estimates in a Markov model. SETTING: Baltimore, MD PARTICIPANTS: Individuals aged 65 and older with reported difficulty with at least one activity of daily living. INTERVENTION: CAPABLE is a 5-month program to reduce the health effects of impaired physical function in low-income older adults by addressing individual capacity and the home environment. CAPABLE uses an interprofessional team (occupational therapist, registered nurse, handyman) to help older adults attain self-identified functional goals. MEASUREMENTS: Monthly average Medicaid expenditure and likelihood of high- or low-cost use of eight healthcare service categories. RESULTS: Average Medicaid spending per CAPABLE participant was $867 less per month than that of their matched comparison counterparts (observation period average 17 months, range 1-31 months). The largest differential reduction in expenditures were for inpatient care and long-term services and supports. CONCLUSION: CAPABLE is associated with lower likelihood of inpatient and long-term service use and lower overall Medicaid spending. The magnitude of reduced Medicaid spending could pay for CAPABLE delivery and provide further Medicaid program savings due to averted services use. CLINICAL TRIAL REGISTRATION: CAPABLE for Frail dually eligible older adults NCT01743495 https://clinicaltrials.gov/ct2/show/NCT01743495.