Technology, data, people, and partnerships in addressing unmet social needs within Medicaid Managed Care.

BACKGROUND: Individuals with unmet social needs experience adverse health outcomes and are subject to greater inequities in health and social outcomes. Given the high prevalence of unmet needs among Medicaid enrollees, many Medicaid managed care organizations (MCOs) are now screening enrollees for unmet social needs and connecting them to community-based organizations (CBOs) with knowledge and resources to address identified needs. The use of screening and referral technology and data sharing are often considered key components in programs integrating health and social services. Despite this emphasis on technology and data collection, research suggests substantial barriers exist in operationalizing effective systems. METHODS: We used qualitative methods to examine cross-sector perspectives on the use of data and technology to facilitate MCO and CBO partnerships in Kentucky, a state with high Medicaid enrollment, to address enrollee social needs. We recruited participants through targeted sampling, and conducted 46 in-depth interviews with 26 representatives from all six Kentucky MCOs and 20 CBO leaders. Qualitative descriptive analysis, an inductive approach, was used to identify salient themes. RESULTS: We found that MCOs and CBOs have differing levels of need for data, varying incentives for collecting and sharing data, and differing valuations of what data can or should do. Four themes emerged from interviewees' descriptions of how they use data, including 1) to screen for patient needs, 2) to case manage, 3) to evaluate the effectiveness of programs, and 4) to partner with each other. Underlying these data use themes were areas of alignment between MCOs/CBOs, areas of incongruence, and areas of tension (both practical and ideological). The inability to interface with community partners for data privacy and ownership concerns contributes to division. Our findings suggest a disconnect between MCOs and CBOs regarding terms of their technology interfacing despite their shared mission of meeting the unmet social needs of enrollees. CONCLUSIONS: While data and technology can be used to identify enrollee needs and determine the most critical need, it is not sufficient in resolving challenges. People and relationships across sectors are vital in connecting enrollees with the community resources to resolve unmet needs.

Association Between Community Social Vulnerability and Preventable Hospitalizations.

Preventable hospitalizations are common and costly events that burden patients and our health care system. While research suggests that these events are strongly linked to ambulatory care access, emerging evidence suggests they may also be sensitive to a patient's social, environmental, and economic conditions. This study examines the association between variations in social vulnerability and preventable hospitalization rates. We conducted a cross-sectional analysis of county-level preventable hospitalization rates for 33 states linked with data from the 2020 Social Vulnerability Index (SVI). Preventable hospitalizations were 40% higher in the most vulnerable counties compared with the least vulnerable. Adjusted regression results confirm the strong relationship between social vulnerability and preventable hospitalizations. Our results suggest wide variation in community-level preventable hospitalization rates, with robust evidence that variation is strongly related to a community's social vulnerability. The human toll, societal cost, and preventability of these hospitalizations make understanding and mitigating these inequities a national priority.

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. Expected final online publication date for the Annual Review of Public Health, Volume 45 is April 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

The Appalachian Gap in Preventable Hospitalizations: Are We Seeing Any Progress?

Introduction: Previous studies have documented geographic variation in preventable hospitalizations between rural and urban areas, but much less is known about preventable hospitalization patterns between heterogeneous rural areas. Unique challenges related to access of care and poverty may put the rural Appalachian Region at risk for higher rates of preventable hospitalizations. Purpose: This study examines whether within-rural differences in Kentucky's preventable hospitalization rates exist and how these differences may be changing over time. Methods: Longitudinal and geographic trends in county-level preventable hospitalization rates were examined using Kentucky hospital discharge data from 2016 to 2019. Regression models were run to determine whether changes over time in preventable hospitalization rates led to an increasing or decreasing gap in outcomes between rural Appalachian counties and their urban and rural non- Appalachian counterparts. Results: Rural Appalachian counties consistently had significantly higher preventable hospitalizations rates compared to their rural non-Appalachian and urban counterparts ( p < 0.01). A downward trend in overall preventable hospitalizations was observed for rural Appalachia over time, but trends were relatively stable for rural non-Appalachian and urban counties. Regression results indicate that there was no significant reduction in the "Appalachian gap" over time. Implications: The analyses confirm that rural areas within Kentucky experienced highly heterogeneous rates of preventable hospitalizations. Despite Medicaid expansion, there is little evidence of any narrowing of the "Appalachian gap." Focus on improving access to care alone may be insufficient to improve outcomes. Alternative strategies that leverage population health approaches may improve capacity to address complex health and social needs in rural Appalachia.

Association Between Insurer Connectivity in Appalachian Population Health Networks and Preventable Hospitalizations: Evidence from Kentucky.

Introduction: Addressing complex health and social needs requires cross-sector collaboration to deliver medical, social, and population health services at the community level. Capacity in community health and social services networks may be constrained in regions like Appalachia due to the combined effects of rurality and persistently poor health and social outcomes. One way that cross-sector networks serving low-resource communities can expand their capacity is by engaging partners, like health insurers, who can leverage resources from outside the local area. Purpose: This study examines insurer connectivity in cross-sector networks across Kentucky's geographic regions and the association between connectivity and the probability of an individual experiencing a preventable hospitalization. Methods: A cross-sectional design was used that linked data from the National Longitudinal Survey of Public Health Systems (NALSYS) with 2018 patient-level Kentucky hospital discharge data to examine the association between insurer connectivity in community networks and preventable hospitalizations across urban, rural non-Appalachian, and Appalachian regions. Results: Analysis of the data shows substantial geographic variation in the association between insurer connectivity in community networks and preventable hospitalization. Insurer connectivity in rural Appalachian communities was associated with lower likelihood that an individual was admitted for a preventable hospitalization ( p < 0.01). Implications: Findings suggest insurer connectivity in cross-sector community health and social services networks has the potential to strengthen network capacity to address preventable hospitalizations and improve health outcomes and well-being for the people of Appalachia.

COVID-19 and MCO-community partnerships to address enrollee social needs.

OBJECTIVES: Many Medicaid managed care organizations (MCOs) now screen enrollees and connect them to community-based organizations (CBOs) to address unmet social needs. COVID-19 has significantly disrupted health care delivery and overall economic activity in the United States. We examined how partnerships between Medicaid MCOs and CBOs to address social determinants of health have been affected by the pandemic. STUDY DESIGN: Guided by questions and recruitment strategies developed with our stakeholder advisory board, we conducted 26 interviews with representatives from all 6 of Kentucky's Medicaid MCOs. METHODS: In-depth, structured interviews for data collection and iterative content analyses to identify themes. RESULTS: Several themes emerged, including substantial increases in enrollees' unmet needs and the demand to find new ways to be responsive, changing funding patterns, disruptions to and evolving modes of communication, and shifting partner relationships. In virtually all areas of impact, COVID-19 has been associated with both negative and positive change. CONCLUSIONS: Unmet social needs associated with the pandemic placed tremendous strain on CBOs, limiting their capacity to sustain some programs and partnerships. Isolation associated with COVID-19 also had wide-ranging effects on service delivery, communication with enrollees and partners, and the ability to maintain relationships. Nonetheless, the pandemic also had some silver linings, including additional resources and flexibility for addressing unmet needs. Federal and state agencies, along with MCO leaders, should carefully evaluate what innovations have been particularly effective during the pandemic and craft new flexibilities into their policies, procedures, and regulations.

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.

Assessment of Kentucky's Local Health Department Cross-Jurisdictional Sharing: Strategy for Maximizing Efficiency.

OBJECTIVE: The purpose of this study was to examine patterns of cross-jurisdictional sharing across the 61 local public health jurisdictions (LHJs) in Kentucky. The opportunities to reduce the cost-of-service delivery for Kentucky's LHJs via cross-jurisdictional sharing present a mechanism to address financial instability across the state by achieving economies of scale, especially among smaller jurisdictions. DESIGN: A cross-sectional study design was used to examine patterns of cross-jurisdictional sharing across the 61 LHJs in Kentucky. The survey tool utilized was designed by the Center for Sharing Public Health Services, an initiative managed by the Kansas Health Institute with support from the Robert Wood Johnson Foundation. RESULTS: Seventy-two percent of the 61 LHJs in Kentucky responded to the survey. The majority of responding jurisdictions sharing services were rural, single-county jurisdictions, utilizing service-related informal sharing arrangements. The majority of health departments, when asked to identify which programmatic areas shared service arrangements were focused in, listed those services requiring intensive staff training such as Health Access Nurturing Development Services (HANDS) and epidemiology. Of particular interest were the services most infrequently shared such as communicable disease screening and treatment. CONCLUSIONS: This study suggests that, pre-COVID-19, a core group of primarily rural, single-county Kentucky local health departments has experience with cross-jurisdictional sharing. Among this group, engagement in informal arrangements was the form of cross-jurisdictional sharing predominantly used, with few jurisdictions reporting shared functions with joint oversight. When considering the potential benefits and efficiencies that cross-jurisdictional sharing can provide to public health departments and their communities, for some, COVID-19 may have been a catalyst to engage in sharing across health department jurisdictional lines.

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.

Exploring the capacity of community-based organisations to absorb health system patient referrals for unmet social needs.

This study examines the perspectives, resources, role and services provided by community-based organisations (CBOs) in response to the integration of health and social services to address individual unmet social needs, as well as the impact on organisational carrying capacity related to the ability to receive referrals from health system partners. Mixed methods combining qualitative interviews with 24 organisations and Social Network Analysis with 75 organisations were completed in 2018 in two communities (Denton, TX and Sarasota, FL) with robust examples of health and social systems alignment. Findings suggest that while community organisations are embedded in robust cross-sector networks, the potential increase in referrals from clinical settings is not something they are fully aware of, or prepared for, as evidenced by inadequate funding models, misalignment between capacity and capability, and a lack of coordination on screening and referral activities. Misalignment between clinical and CBO understanding of demand, needs and capacity present a potential risk in building strategies that integrate health and social services to address unmet social need. Failing to build a strong cross-sector screening and referral infrastructure that considers CBO capacity from the start could undermine the goal of improving population health through the integration of clinical and social care.

The Effectiveness of the Transtheoretical Model to Improve Physical Activity in Healthy Adults: A Systematic Review.

BACKGROUND: Despite the known risks of physical inactivity, only 50% of adults meet the recommended guidelines for physical activity (PA). Therefore, numerous interventions have been designed to increase PA across a lifespan. The purpose of this systematic review was to determine the effectiveness of interventions based on the transtheoretical model to improve PA in healthy adults. METHODS: Electronic databases (CINAHL, MEDLINE, Psychology & Behavioral Sciences Collection, PsycINFO, Sociological Collection, and SPORTDiscus) were systematically searched from January 2001 to May 2020. RESULTS: A total of 11 randomized pretest-posttest studies were included in this review. Ten studies utilized a subjective measurement of PA, and 3 studies included an objective measure. Five studies demonstrated significant improvements in PA for the transtheoretical model-based intervention groups compared with control/comparison groups; however, 6 studies demonstrated no differences between groups. CONCLUSION: The findings suggest that there is inconsistent evidence to support the use of interventions based on the transtheoretical model to improve PA in adult populations. Interventions were more successful when materials were delivered via in-person counseling and when study participants were in the precontemplation or contemplation phases at baseline.

Geographic Variation in the Structure of Kentucky's Population Health Systems: An Urban, Rural, and Appalachian Comparison.

Introduction: Research examining geographic variation in the structure of population health systems is continuing to emerge, and most of the evidence that currently exists divides systems by urban and rural designation. Very little is understood about how being rural and Appalachian impacts population health system structure and strength. Purpose: This study examines geographic differences in key characteristics of population health systems in urban, rural non-Appalachian, and rural Appalachian regions of Kentucky. Methods: Data from a 2018 statewide survey of community networks was used to examine population health system characteristics. Descriptive statistics were generated to examine variation across geographic regions in the availability of 20 population health activities, the range of organizations that contribute to those activities, and system strength. Data were collected in 2018 and analyzed in 2020. Results: Variation in the provision of population health protections and the structure of public health systems across KY exists. Urban communities are more likely than rural to have a comprehensive set of population health protections delivered in collaboration with a diverse set of multisector partners. Rural Appalachian communities face additional limited capacity in the delivery of population health activities, compared to other rural communities in the state. Implications: Understanding the delivery of population health provides further insight into additional system-level factors that may drive persistent health inequities in rural and Appalachian communities. The capacity to improve health happens beyond the clinic, and the strengthening of population health systems will be a critical step in efforts to improve population health.