Contemporary Public Health Finance: Varied Definitions, Patterns, and Implications.

The financing of public health systems and services relies on a complex and fragmented web of partners and funding priorities. Both underfunding and "dys-funding" contribute to preventable mortality, increases in disease frequency and severity, and hindered social and economic growth. These issues were both illuminated and magnified by the COVID-19 pandemic and associated responses. Further complicating issues is the difficulty in constructing adequate estimates of current public health resources and necessary resources. Each of these challenges inhibits the delivery of necessary services, leads to inequitable access and resourcing, contributes to resource volatility, and presents other deleterious outcomes. However, actions may be taken to defragment complex funding paradigms toward more flexible spending, to modernize and standardize data systems, and to assure equitable and sustainable public health investments.

Examining Characteristics of Local Public Health Systems With Exceptional Tribal Organization Participation.

OBJECTIVE: To learn feasible ways to increase multisector community partnership with tribal organizations, meaning tribal health authorities or American Indian and Alaska Native (AI/AN)-serving organizations, by examining characteristics of local public health systems with exceptional tribal organization participation. DESIGN, SETTING, AND PARTICIPANTS: In total, 728 local public health departments were surveyed in 2018 to generate a nationally representative sample of local public health systems in the United States. A positive deviance approach using logistic regression helped identify local public health systems that had tribal organization participation despite characteristics that make such participation statistically unlikely. Local public health systems with exceptional tribal organization participation were compared with systems with conventional participation, examining measures known to impact the formation of public health partnerships. MAIN OUTCOME MEASURE: This study used an exploratory logistic regression approach to identify unique characteristics of local public health systems with exceptional tribal organization participation. RESULTS: Of 728 health systems surveyed, 21 were identified as having exceptional tribal organization participation. Across varying thresholds to identify exceptional participation, having a higher network density and prioritizing equity in public health activities were found to consistently distinguish exceptional tribal organization participation in both nonrural and rural areas. CONCLUSIONS: Public health partnerships with tribal organizations are possible even in circumstances that make them unlikely. Efforts to build denser networks of collaborating organizations and prioritize equity may help public health systems achieve success with tribal organization partnerships.

Who Delivers Maternal and Child Health Services? The Contributions of Public Health and Other Community Partners.

Policy Points Local health departments with direct maternal and child health service provisions exhibit greater social service collaboration, thereby enhancing community capacity to improve health care access and social determinant support. These findings may prioritize collaboration as a community-based effort to reduce disparities in maternal and child health and chronic disease. CONTEXT: Improving maternal and child health (MCH) care in the United States requires solutions to address care access and the social determinants that contribute to health disparities. Direct service provision of MCH services by local health departments (LHDs) may substitute or complement public health services provided by other community organizations, impacting local service delivery capacity. We measured MCH service provision among LHDs and examined its association with patterns of social service collaboration among community partners. METHODS: We analyzed the 2018 National Longitudinal Survey of Public Health Systems and 2016 National Association of County and City Health Officials Profile data to measure the LHD provision of MCH services and the types of social services involved in the implementation of essential public health activities. We compared the extensive and intensive margins of social service collaboration among LHDs with any versus no MCH service provision. We then used latent class analysis (LCA) to classify collaboration and logistic regression to estimate community correlates of collaboration. FINDINGS: Of 620 LHDs, 527 (85%) provided at least one of seven observed MCH services. The most common service was Special Supplemental Nutrition Program for Women, Infants, and Children (71%), and the least common was obstetric care (15%). LHDs with MCH service provision were significantly more likely to collaborate with all types of social service organizations. LCA identified two classes of LHDs: high (n = 257; 49%) and low (n = 270; 51%) collaborators. Between 74% and 96% of high collaborators were engaged with social service organizations that provided basic needs services, compared with 31%-60% of low collaborators. Rurality and very high maternal vulnerability were significantly correlated with low collaboration among MCH service-providing LHDs. CONCLUSIONS: LHDs with direct MCH service provision exhibited greater social service collaboration. Collaboration was lowest in rural communities and communities with very high maternal vulnerability. Over half of MCH service-providing LHDs were classified as low collaborators, suggesting unrealized opportunities for social service engagement in these communities.

Identifying Value-Added Population Health Capabilities to Strengthen Public Health Infrastructure.

Policy Points While the coronavirus pandemic has underscored the important role of public health systems in protecting community health, it has also exposed weaknesses in the public health infrastructure that stem from chronic underfunding and fragmentation in delivery systems. The results of our study suggest that the public health system structure can be strengthened through the targeted implementation of high-value population health capabilities. Prioritizing the delivery of value-added population health capabilities can help communities efficiently use limited time and resources and identify the most effective pathways for building a stronger public health system and improving health outcomes over time. CONTEXT: While the novel coronavirus pandemic has underscored the important role of public health systems in protecting community health, it has also exposed weaknesses in the public health infrastructure that stem from chronic underfunding and fragmentation in public health delivery systems. Information about the relative value in the implementation of recommended population health capabilities can help communities prioritize their use of limited time and resources and identify the most effective pathways for building a stronger public health system. METHODS: We used a longitudinal cohort design with data from the National Longitudinal Survey of Public Health Systems to examine longitudinal and geographic trends in the delivery of population health capabilities and their impact on system strength across communities in the United States. We used linear probability models to ascertain whether the delivery of certain capabilities added value to public health system strength. FINDINGS: Those communities with the strongest classification of public health system structure in both urban and rural areas implemented the largest set of population health capabilities. Results from the linear probability model indicate that a set of population health capabilities are associated with increased public health system strength. Key activities include allocating resources based on a community health plan, surveying the community for behavioral risk factors, analyzing the data on preventive services use, and engaging community stakeholders in health improvement planning (p < 0.01). CONCLUSIONS: The results of this study suggest that public health systems can be strengthened through the targeted implementation of high-value population health capabilities. Prioritizing the delivery of value-added population health capabilities may help communities increase their public health system's capacity and improve health outcomes.

Understanding the groups of care transition strategies used by U.S. hospitals: an application of factor analytic and latent class methods.

BACKGROUND: After activation of the Hospital Readmission Reduction Program (HRRP) in 2012, hospitals nationwide experimented broadly with the implementation of Transitional Care (TC) strategies to reduce hospital readmissions. Although numerous evidence-based TC models exist, they are often adapted to local contexts, rendering large-scale evaluation difficult. Little systematic evidence exists about prevailing implementation patterns of TC strategies among hospitals, nor which strategies in which combinations are most effective at improving patient outcomes. We aimed to identify and define combinations of TC strategies, or groups of transitional care activities, implemented among a large and diverse cohort of U.S. hospitals, with the ultimate goal of evaluating their comparative effectiveness. METHODS: We collected implementation data for 13 TC strategies through a nationwide, web-based survey of representatives from short-term acute-care and critical access hospitals (N = 370) and obtained Medicare claims data for patients discharged from participating hospitals. TC strategies were grouped separately through factor analysis and latent class analysis. RESULTS: We observed 348 variations in how hospitals implemented 13 TC strategies, highlighting the diversity of hospitals' TC strategy implementation. Factor analysis resulted in five overlapping groups of TC strategies, including those characterized by 1) medication reconciliation, 2) shared decision making, 3) identifying high risk patients, 4) care plan, and 5) cross-setting information exchange. We determined that the groups suggested by factor analysis results provided a more logical grouping. Further, groups of TC strategies based on factor analysis performed better than the ones based on latent class analysis in detecting differences in 30-day readmission trends. CONCLUSIONS: U.S. hospitals uniquely combine TC strategies in ways that require further evaluation. Factor analysis provides a logical method for grouping such strategies for comparative effectiveness analysis when the groups are dependent. Our findings provide hospitals and health systems 1) information about what groups of TC strategies are commonly being implemented by hospitals, 2) strengths associated with the factor analysis approach for classifying these groups, and ultimately, 3) information upon which comparative effectiveness trials can be designed. Our results further reveal promising targets for comparative effectiveness analyses, including groups incorporating cross-setting information exchange.

Improving evidence-based grouping of transitional care strategies in hospital implementation using statistical tools and expert review.

BACKGROUND: As health systems transition to value-based care, improving transitional care (TC) remains a priority. Hospitals implementing evidence-based TC models often adapt them to local contexts. However, limited research has evaluated which groups of TC strategies, or transitional care activities, commonly implemented by hospitals correspond with improved patient outcomes. In order to identify TC strategy groups for evaluation, we applied a data-driven approach informed by literature review and expert opinion. METHODS: Based on a review of evidence-based TC models and the literature, focus groups with patients and family caregivers identifying what matters most to them during care transitions, and expert review, the Project ACHIEVE team identified 22 TC strategies to evaluate. Patient exposure to TC strategies was measured through a hospital survey (N = 42) and prospective survey of patients discharged from those hospitals (N = 8080). To define groups of TC strategies for evaluation, we performed a multistep process including: using ACHIEVE'S prior retrospective analysis; performing exploratory factor analysis, latent class analysis, and finite mixture model analysis on hospital and patient survey data; and confirming results through expert review. Machine learning (e.g., random forest) was performed using patient claims data to explore the predictive influence of individual strategies, strategy groups, and key covariates on 30-day hospital readmissions. RESULTS: The methodological approach identified five groups of TC strategies that were commonly delivered as a bundle by hospitals: 1) Patient Communication and Care Management, 2) Hospital-Based Trust, Plain Language, and Coordination, 3) Home-Based Trust, Plain language, and Coordination, 4) Patient/Family Caregiver Assessment and Information Exchange Among Providers, and 5) Assessment and Teach Back. Each TC strategy group comprises three to six, non-mutually exclusive TC strategies (i.e., some strategies are in multiple TC strategy groups). Results from random forest analyses revealed that TC strategies patients reported receiving were more important in predicting readmissions than TC strategies that hospitals reported delivering, and that other key co-variates, such as patient comorbidities, were the most important variables. CONCLUSION: Sophisticated statistical tools can help identify underlying patterns of hospitals' TC efforts. Using such tools, this study identified five groups of TC strategies that have potential to improve patient outcomes.

Framework for Multisector Alignment Research.

CONTEXT: Public health collaboratives are effective platforms to develop interventions for improving population health. Most collaboratives are limited to the public health and health care delivery sectors; however, multisector collaboratives are becoming more recognized as a strategy for combining efforts from medical, public health, social services, and other sectors. PROGRAM: Based on a 4-year multisector collaborative project, we identify concepts for widening the lens to conduct multisector alignment research. The goal of the collaborative was to address the serious care fragmentation and conflicting financing systems for persons with behavioral health disorders. Our work with these 7 sectors provides insight for creating a framework to conduct multisector alignment research for investigating how alignment problems can be identified, investigated, and applied to achieve systems alignment. IMPLEMENTATION: The multisector collaborative was undertaken in Maricopa County, encompassing Phoenix, Arizona, and consisted of more than 50 organizations representing 7 sectors. EVALUATION: We develop a framework for systems alignment consisting of 4 dimensions (alignment problems, alignment mechanisms, alignment solutions, and goal attainment) and a vocabulary for implementing multisector alignment research. We then describe the interplay and reciprocity between the 4 dimensions. DISCUSSION: This framework can be used by multisector collaboratives to help identify strategies, implement programs, and develop metrics to assess impact on population health and equity.

Public Health Systems and Social Services: Breadth and Depth of Cross-Sector Collaboration.

Objectives. To examine the extent to which social service organizations participate in the organizational networks that implement public health activities in US communities, consistent with recent national recommendations.Methods. Using data from a national sample of US communities, we measured the breadth and depth of engagement in public health activities among specific types of social and community service organizations.Results. Engagement was most prevalent (breadth) among organizations providing housing and food assistance, with engagement present in more than 70% of communities. Engagement was least prevalent among economic development, environmental protection, and law and justice organizations (less than 33% of communities). Depth of engagement was shallow and focused on a narrow range of public health activities.Conclusions. Cross-sector relationships between public health and the housing and food sectors are now widespread across the United States, giving most communities viable avenues for addressing selected social determinants of health. Relationships with many other social and community service organizations are more limited.Public Health Implications. Public health leaders should prioritize opportunities for engagement with low-connectivity social sectors in their communities such as law, justice, and economic development.

The Growing Divide in the Composition of Public Health Delivery Systems in US Rural and Urban Communities, 2014-2018.

Objectives. To examine changes in the scope of activity and organizational composition of public health delivery systems serving rural and urban US communities between 2014 and 2018.Methods. We used data from the National Longitudinal Survey of Public Health Systems to measure the implementation of recommended public health activities and the network of organizations contributing to these activities in a nationally representative cohort of US communities. We used multivariable regression models to test for rural-urban differences between 2014 and 2018.Results. The scope of recommended activities implemented in rural areas declined by 3.4 percentage points between 2014 and 2018, whereas it increased by 1.4 percentage points in urban areas. The rural-urban disparity in scope of activities grew by a total of 4.8 percentage points (P < .05) over this time. The disparity in network density grew by 2.3 percentage points (P < .05).Conclusions. Urban public health systems have enhanced their scope of activities and organizational networks since 2014, whereas rural systems have lost capacity. These trends suggest that system improvement initiatives have had uneven success, and they may contribute to growing rural-urban disparities in population health status.

State Health Official Career Advancement and Sustainability Evaluation-Description of the Methods Used in the SHO-CASE Study.

State health officials (SHOs) lead state governmental public health agencies, playing an important role in their states. However, little comprehensive research has examined SHOs or characteristics of these leaders, limiting evidence about ways to improve SHO selection and subsequent performance. This brief describes the methods of the SHO-CASE study focused on current and former SHOs in state public health agencies. Methods used include qualitative components that informed the development of survey questions, survey administration, and survey response. A total of 147 SHOs responded to the SHO survey representing every state and Washington, District of Columbia. The SHO-CASE study survey database represents the most comprehensive database of its kind regarding a range of attributes of current and former SHOs. These data can be used to explore factors contributing to SHO success including valuable insights into effectively working with the states' elected officials.

Examining the Trade-off Between NICU Length of Stay and Postdischarge Monitoring: An Instrumental Variables Approach.

EXECUTIVE SUMMARY: Treatment of very low birth weight infants in a neonatal intensive care unit (NICU) can be expensive, particularly in rural areas, but may potentially reduce long-term treatment costs and improve short- and long-term health outcomes. Few studies look at this trade-off. We employed an instrumental variables approach (fuzzy discontinuity) based on changes in practice for the treatment of very low birth weight infants in a perinatal referral center's NICU in 2000-2001. The strategy of keeping infants in a NICU longer reduced the likelihood of discharge with an apnea/cardio monitor. The primary instrumental variables specification estimated that every additional 100 g of discharge weight reduced the likelihood of discharge with an apnea/cardio monitor by 4.8%. Extending an infant's length of stay (LOS) thus has important benefits. Greater expenses on days in the NICU are partially compensated by reduced monitoring post discharge. In contexts where postdischarge monitoring is particularly difficult or expensive, extending LOS may be cost effective and potentially improve outcomes.

Changes in Local Public Health System Performance Before and After Attainment of National Accreditation Standards.

OBJECTIVE: The aim of this study is to investigate the impact of Public Health Accreditation Board (PHAB) accreditation on the delivery of public health services and on participation from other sectors in the delivery of public health services in local public health systems. DESIGN: This study uses a longitudinal repeated measures design to identify differences between a cohort of public health systems containing PHAB-accredited local health departments and a cohort of public health systems containing unaccredited local health departments. It uses data spanning from 2006 to 2016. SETTING: This study examines a cohort of local public health systems that serves large populations and contains unaccredited and PHAB-accredited local health departments. PARTICIPANTS: Data in this study were collected from the directors of health departments that include local public health systems followed in the National Longitudinal Study of Public Health Systems. INTERVENTION: The intervention examined is PHAB accreditation. MAIN OUTCOME MEASURES: The study focuses on 4 areas: the delivery of core public health services, local health department contribution toward these services, participation in the delivery of these services by other members of the public health system, and public health system makeup. RESULTS: Prior to the advent of accreditation, public health systems containing local health departments that were later accredited by PHAB appear quite similar to their unaccredited peers. Substantial differences between the 2 cohorts appear to manifest themselves after the advent of accreditation. Specifically, the accredited cohort seems to offer a broader array of public health services, involve more partners in the delivery of those services, and enjoy a higher percentage of comprehensive public health systems. CONCLUSIONS: The results of this study suggest that accreditation may yield significant benefits and may help public health systems develop the public health system capital necessary to protect and promote the public's health.

Public Health and Hospitals: Lessons Learned From Partnerships in a Changing Health Care Environment.

Recent changes in policymaking, such as the passage of the Patient Protection and Affordable Care Act, have ushered in a new era in community health partnerships. To investigate characteristics of effective collaboration between hospitals, their parent systems, and the public health community, with the support of major hospital, medical, and public health associations, we compiled a list of 157 successful partnerships. This set was subsequently narrowed to 12 successful and diverse partnerships. After conducting site visits in each of the partnerships' communities and interviews with key partnership participants, we extracted lessons about their success. The lessons we have learned from our investigation have the potential to assist others as they develop partnerships.

Project ACHIEVE - using implementation research to guide the evaluation of transitional care effectiveness.

BACKGROUND: Poorly managed hospital discharges and care transitions between health care facilities can cause poor outcomes for both patients and their caregivers. Unfortunately, the usual approach to health care delivery does not support continuity and coordination across the settings of hospital, doctors' offices, home or nursing homes. Though complex efforts with multiple components can improve patient outcomes and reduce 30-day readmissions, research has not identified which components are necessary. Also we do not know how delivery of core components may need to be adjusted based on patient, caregiver, setting or characteristics of the community, or how system redesign can be accelerated. METHODS/DESIGN: Project ACHIEVE focuses on diverse Medicare populations such as individuals with multiple chronic diseases, patients with low health literacy/numeracy and limited English proficiency, racial and ethnic minority groups, low-income groups, residents of rural areas, and individuals with disabilities. During the first phase, we will use focus groups to identify the transitional care outcomes and components that matter most to patients and caregivers to inform development and validation of assessment instruments. During the second phase, we will evaluate the comparative effectiveness of multi-component care transitions programs occurring across the U.S. Using a mixed-methods approach for this evaluation, we will study historical (retrospective) and current and future (prospective) groups of patients, caregivers and providers using site visits, surveys, and clinical and claims data. In this natural experiment observational study, we use a fractional factorial study design to specify comparators and estimate the individual and combined effects of key transitional care components. DISCUSSION: Our study will determine which evidence-based transitional care components and/or clusters most effectively produce patient and caregiver desired outcomes overall and among diverse patient and caregiver populations in different healthcare settings. Using the results, we will develop concrete, actionable recommendations regarding how best to implement these strategies. Finally, this work will provide tools for hospitals, community-based organizations, patients, caregivers, clinicians and other stakeholders to help them make informed decisions about which strategies are most effective and how best to implement them in their communities. TRIAL REGISTRATION: Registered as NCT02354482 on clinicaltrials.gov on 1/29/2015.

Economic shocks and public health protections in US metropolitan areas.

OBJECTIVES: We examined public health system responses to economic shocks using longitudinal observations of public health activities implemented in US metropolitan areas from 1998 to 2012. METHODS: The National Longitudinal Survey of Public Health Systems collected data on the implementation of 20 core public health activities in a nationally representative cohort of 280 metropolitan areas in 1998, 2006, and 2012. We used generalized estimating equations to estimate how local economic shocks relate to the scope of activities implemented in communities, the mix of organizations performing them, and perceptions of the effectiveness of activities. RESULTS: Public health activities fell by nearly 5% in the average community between 2006 and 2012, with the bottom quintile of communities losing nearly 25% of their activities. Local public health delivery fell most sharply among communities experiencing the largest increases in unemployment and the largest reductions in governmental public health spending. CONCLUSIONS: Federal resources and private sector contributions failed to avert reductions in local public health protections during the recession. New financing mechanisms may be necessary to ensure equitable public health protections during economic downturns.

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.

Community Health Assessment and Improved Public Health Decision-Making: A Propensity Score Matching Approach.

OBJECTIVES: We analyzed the likelihood of chronic disease prevention activities delivery, as a proxy measure of public health decision-making and actions, given that local health agencies (LHAs) implemented a community health assessment and improvement plan in their communities. METHODS: Using a propensity score matching approach, we linked data from the 2010 National Association of County and City Health Officials profile of LHAs and the 2010 County Health Rankings to create a statistically matched sample of implementation and comparison LHAs. Implementation LHAs were those that implemented a community health assessment and improvement plan. We estimated the odds of chronic disease prevention activities delivery and the average treatment effect on the treated. RESULTS: Implementation group LHAs were 2 times as likely (95% confidence interval = 1.60, 2.64) to deliver population-based chronic disease prevention programs than comparison group LHAs. Furthermore, chronic disease prevention activities were more likely to be delivered among implementation group LHAs (6.50-19.02 percentage points higher) than in comparison group LHAs. CONCLUSIONS: Our results signal that routine implementation of a community health assessment and improvement plan in LHAs leads to improved public health decision-making and actions.

Impact of Economic Constraints on Public Health Delivery Systems Structures.

OBJECTIVES: We estimated the effect of economic constraints on public health delivery systems (PHDS) density and centrality during 3 time periods, 1998, 2006, and 2012. METHODS: We obtained data from the 1998, 2006, and 2012 National Longitudinal Study of Public Health Agencies; the 1993, 1997, 2005, and 2010 National Association for County and City Health Officials Profile Study; and the 1997, 2008, and 2011 Area Resource Files. We used multivariate regression models for panel data to estimate the impact of economic constraints on PHDS density and centrality. RESULTS: Findings indicate that economic constraints did not have a significant impact on PHDS density and centrality over time but population is a significant predictor of PHDS density, and the presence of a board of health (BOH) is a significant predictor of PHDS density and centrality. Specifically, a 1% increase in population results in a significant 1.71% increase in PHDS density. The presence of a BOH is associated with a 10.2% increase in PHDS centrality, after controlling for other factors. CONCLUSIONS: These findings suggest that other noneconomic factors influence PHDS density centrality.

Should they stay or should they go? Leader duration and financial performance in local health departments.

CONTEXT: The delivery of programs by local health departments (LHDs) has shifted from "if we do not have the money we don't do it" to LHD directors should "identify and fund public health priorities." This shift has subsequently increased performance expectations of LHD leaders. In the for-profit sector the leaders' failure to perform has resulted in a shortening tenure trend. Tenure is a proxy for human capital accumulation. In LHDs, the nature of association, if any, between leader tenure and agency performance is unknown. RESEARCH OBJECTIVE: Examine association between financial performance of LHDs with short-, average-, and long-tenured LHD leaders. STUDY DESIGN: Variation in leader characteristics and percent change in expenditure were examined using a longitudinal cohort design and positive deviance methodology. Bivariate analysis of LHD financial performance and leader characteristics was conducted, and a logistic regression model was developed to test association between leader tenure and LHDs that experienced a positive percentage expenditure change. PARTICIPANTS: From a total of 2523 LHDs, 1453 were examined. The cross-sectional surveys of US public health agencies conducted by the National Association of County and City Health Officials in 2008 and 2010 contain the leader and LHD variables. RESULTS: Approximately 44% of LHDs experienced a positive percentage expenditure change. Leader tenure, age, gender, and education status were significantly associated with a positive percentage expenditure change using a chi-square test of independence. From the logistic regression analysis tenure, educational status, employment status, area population, governance, classification, and jurisdiction were statistically significant. Local health departments with leaders whose tenure was less than 2 years were less likely than those with average tenure to experience a positive percentage expenditure change. CONCLUSIONS: The odds ratios for tenure suggest that tenure is positively associated up to a threshold level and then declines. Implying that LHD financial performance is sensitive to leader tenure.

Longitudinal Trends in Insurer Participation in Multisector Population Health Activities.

Healthcare organizations increasingly engage in activities to identify and address social determinants of health (SDOH) among their patients to improve health outcomes and reduce costs. While several studies to date have focused on the evolving role of hospitals and physicians in these types of population health activities, much less is known about the role health insurers may play. We used data from the National Longitudinal Survey of Public Health Systems for the period 2006 to 2018 to examine trends in health insurer participation in population health activities and in the multi-sector collaborative networks that support these activities. We also used a difference-in-differences approach to examine the impact of Medicaid expansion on insurer participation in population health networks. Insurer participation increased in our study period both in the delivery of population health activities and in the integration into collaborative networks that support these activities. Insurers were most likely to participate in activities focusing on community health assessment and policy development. Results from our adjusted difference-in-differences models showed variation in association between insurer participation in population health networks and Medicaid expansion (Table 2). Population health networks in expansion states experienced significant increases insurer participation in assessment (4.48 percentage points, P < .05) and policy and planning (7.66 percentage points, P < .05) activities. Encouraging insurance coverage gains through policy mechanisms like Medicaid expansion may not only improve access to healthcare services but can also act as a driver of insurer integration into population health networks.