Hospital Contributions to the Delivery of Public Health Activities in US Metropolitan Areas: National and Longitudinal Trends.

OBJECTIVES: We investigated changes in hospital participation in local public health systems and the delivery of public health activities over time and assessed the relationship between hospital participation and the scope of activities available in local public health systems. METHODS: We used longitudinal observations from the National Longitudinal Survey of Public Health Systems to examine how hospital contributions to the delivery of core public health activities varied in 1998, 2006, and 2012. We then used multivariate regression to assess the relationship between the level of hospital contributions and the overall availability of public health activities in the system. RESULTS: Hospital participation in public health activities increased from 37% in 1998 to 41% in 2006 and down to 39% in 2012. Regression results indicated a positive association between hospital participation in public health activities and the total availability of public health services in the systems. CONCLUSIONS: Hospital collaboration does play an important role in the overall availability of public health services in local public health systems. Efforts to increase hospital participation in public health may have a positive impact on the scope of services provided and population health in US communities.

Impact of state Medicaid expansion on cross-sector health and social service networks: Evidence from a longitudinal cohort study.

OBJECTIVE: To examine the impact of state Medicaid expansion on the delivery of population health activities in cross-sector health and social services networks. Community networks are multisector, interorganizational networks that provide services ranging from the direct provision of individual social services to the implementation of population-level initiatives addressing community outcomes. DATA SOURCES: We used data measuring the composition of cross-sector population health networks 2006-2018 National Longitudinal Survey of Public Health Systems (NALSYS) linked with the Area Health Resource File. STUDY DESIGN: A difference-in-differences approach was used to examine the impact of expansion on organization engagement in population health activities and network structure. DATA COLLECTION/EXTRACTION METHODS: Stratified random sampling of local public health jurisdictions in the United States. We restricted our data to jurisdictions serving populations of 100,000 or more and states that had NALSYS observations across all time periods, resulting in a final sample size of 667. PRINCIPAL FINDINGS: Results from our adjusted difference-in-differences estimates indicated that Medicaid expansion was associated with a 2.3 percentage point increase in the density of population health networks (p < 0.10). Communities in states that expanded Medicaid experienced significant increases in the participation of local public health, local government, hospital, nonprofit, insurer, and K-12 schools. Of the organizations with significant increases in expansion communities, nonprofits (7.7 percentage points, p < 0.01), local public health agencies (6.5 percentage points, p < 0.01), hospitals (5.8 percentage points, p < 0.01), and local government agencies (6.0 percentage points, p < 0.05) had the largest gains. CONCLUSIONS: Our study found increases in cross-sector participation in population health networks in states that expanded Medicaid compared with nonexpansion states, suggesting that additional coverage gains are associated with positive changes in population health network structure.

Public Health Spending and Medicare Resource Use: A Longitudinal Analysis of U.S. Communities.

OBJECTIVE: To examine whether local expenditures for public health activities influence area-level medical spending for Medicare beneficiaries. DATA SOURCES AND SETTING: Six census surveys of the nation's 2,900 local public health agencies were conducted between 1993 and 2013, linked with contemporaneous information on population demographics, socioeconomic characteristics, and area-level Medicare spending estimates from the Dartmouth Atlas of Health Care. DATA COLLECTION/EXTRACTION: Measures derive from agency survey data and aggregated Medicare claims. STUDY DESIGN: A longitudinal cohort design follows the geographic areas served by local public health agencies. Multivariate, fixed-effects, and instrumental-variables regression models estimate how area-level Medicare spending changes in response to shifts in local public health spending, controlling for observed and unmeasured confounders. PRINCIPAL FINDINGS: A 10 percent increase in local public health spending per capita was associated with 0.8 percent reduction in adjusted Medicare expenditures per person after 1 year (p < .01) and a 1.1 percent reduction after 5 years (p < .05). Estimated Medicare spending offsets were larger in communities with higher rates of poverty, lower health insurance coverage, and health professional shortages. CONCLUSIONS: Expanded financing for public health activities may provide an effective way of constraining Medicare spending, particularly in low-resource communities.

Preventable Death Rates Fell Where Communities Expanded Population Health Activities Through Multisector Networks.

The US health system faces mounting pressure to improve population health. Research suggests a need for greater coordination and alignment across the sectors that deliver medical, public health, and social services. This study uses sixteen years of data from a large cohort of US communities to measure the extent and nature of multisector contributions to population health activities and how these contributions affect community mortality rates. The results show that deaths due to cardiovascular disease, diabetes, and influenza decline significantly over time among communities that expand multisector networks supporting population health activities. The findings imply that incentives and infrastructure supporting multisector population health activities may help close geographic and socioeconomic disparities in population health.