Social Determinants As Public Goods: A New Approach To Financing Key Investments In Healthy Communities

Not Only How Much But How: The Importance Of Diversifying Funding Streams In A Reimagined Public Health System

Revenue diversification may be a synergistic strategy for transforming public health, yet few national or trend data are available. This study quantified and identified patterns in revenue diversification in public health before and during the COVID-19 pandemic. We used National Association of County and City Health Officials' National Profile of Local Health Departments study data for 2013, 2016, 2019, and 2022 to calculate a yearly diversification index for local health departments. Respondents' revenue portfolios changed fairly little between 2016 and 2022. Compared with less-diversified local health departments, well-diversified departments reported a balanced portfolio with local, state, federal, and clinical sources of revenue and higher per capita revenues. Less-diversified local health departments relied heavily on local sources and saw lower revenues. The COVID-19 period exacerbated these differences, with less-diversified departments seeing little revenue growth from 2019 to 2022. Revenue portfolios are an underexamined aspect of the public health system, and this study suggests that some organizations may be under financial strain by not having diverse revenue portfolios. Practitioners have ways of enhancing diversification, and policy attention is needed to incentivize and support revenue diversification to enhance the financial resilience and sustainability of local health departments.

The Coproduction of Health Framework: Seeking Instructive Management Models and Theories

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

Promoting Sustainability in Housing with Services: Insights From the Right Care, Right Place, Right Time Program

Despite the widely-acknowledged potential of housing with services for improving the lives of low-income older adults, ensuring their financial sustainability has been challenging. This study aimed to address this issue, drawing on 31 key informant interviews and three focus groups with payers, housing providers, and community partners involved in the Boston-area Right Care, Right Place, Right Time Program, which enrolled about 400 older adults. Transcripts were qualitatively analyzed using thematic coding. Participants agreed on the program's value, but there was little consensus on mechanisms for securing ongoing funding. The broadly distributed responsibility for individuals in housing sites, which involves health insurers, hospitals, and community service providers, provides little incentive for investment by these entities. Findings suggest that governmental mechanisms, probably at the federal level, are needed to channel funding toward these supportive services. Without such reliable funding sources, replication of supportive housing models for low-income older people will prove difficult.

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.

Financing community partnerships for health equity: Findings and insights from cross-sector professionals

OBJECTIVE

To enhance understanding of financial alignment challenges facing cross-sector partnerships (CSPs) pursuing health equity and offer insights to guide research and practice.

DATA SOURCES AND STUDY SETTING

We collected data through surveys and interviews with cross-sector professionals in 16 states, 2020-2021.

STUDY DESIGN

We surveyed 51 CSP leaders and received 26 responses. Following administration of the surveys to CSP leaders, we also conducted interviews with cross-sector professionals. The data are analyzed descriptively, comparatively, and qualitatively using thematic analysis.

DATA COLLECTION/EXTRACTION METHODS

For quantitative survey data, we compare partnership responses, differentiating perceived levels of alignment among partnerships certified by the Pathways Community HUB Institute (PCHI), partnerships interested in certification, and partnerships without connection to the PCHI® Model of care coordination. For interviews, we engaged CSP professionals and those who fund their work. Two research team members took notes for interviews, which were combined and made available for review by those interviewed. Data were analyzed independently by two team members who met to integrate, identify, and finalize thematic findings.

PRINCIPAL FINDINGS

Our work supports previous findings that financing is a challenge for CSPs, while also suggesting that PCHI-certified partnerships may perceive greater progress in financial alignment than others. We identify four major financial barriers: limited and competitive funding; state health service delivery structures; cultural and practice divides across healthcare, social service, and public health sectors; and needs for further evidence of cross-sector service impacts on client health and costs. We also offer a continuum of measures of financial sustainability progress and identify key issues relating to financial incentivization/accountability.

CONCLUSION

Findings suggest a need for public policy reviews and improvements to aid CSPs in addressing financial alignment challenges. We also offer a measurement framework and ideas to guide research and practice on financial alignment, based on empirical data.

Primary Care-Based Housing Program Reduced Outpatient Visits; Patients Reported Mental And Physical Health Benefits

Screening for housing instability has increased as health systems move toward value-based care, but evidence on how health care-based housing interventions affect patient outcomes comes mostly from interventions that address homelessness. In this mixed-methods evaluation of a primary care-based housing program in Boston, Massachusetts, for 1,139 patients with housing-related needs that extend beyond homelessness, we found associations between program participation and health care use. Patients enrolled in the program between October 2018 and March 2021 had 2.5 fewer primary care visits and 3.6 fewer outpatient visits per year compared with those who were not enrolled, including fewer social work, behavioral health, psychiatry, and urgent care visits. Patients in the program who obtained new housing reported mental and physical health benefits, and some expressed having stronger connections to their health care providers. Many patients attributed improvements in mental health to compassionate support provided by the program's housing advocates. Health care-based housing interventions should address the needs of patients facing imminent housing crises. Such interventions hold promise for redressing health inequities and restoring dignity to the connections between historically marginalized patient populations and health care institutions.

Insights From Implementation Of A Community-Based Model For Collaborative Public Good Investing

Communities across the United States are looking for ways to reduce health inequities. Improving the social determinants of health (SDOH) is one fruitful pathway. In prior work we developed a financing model to incentivize and coordinate joint SDOH investments among local stakeholders, called the Collaborative Approach to Public Good Investments (CAPGI). A core thesis of our model is that at least some SDOH investments can be funded without reliance on philanthropic or government monies: Because they can produce value that flows to multiple organizations simultaneously, SDOH investments can be aligned with health organizations' self-interest. We describe our model's evolution in practice and synthesize insights drawn from our experiences providing technical assistance to three communities that have implemented CAPGI. Each community is unique, but we identified common themes related to governance processes and coalition dynamics that are relevant to any community trying to increase local, place-based investments in health.

A national overview of nonprofit hospital community benefit programs to address the social determinants of health

Decades of research have solidified the crucial role that social determinants of health (SDOH) play in shaping health outcomes, yet strategies to address these upstream factors remain elusive. The aim of this study was to understand the extent to which US nonprofit hospitals invest in SDOH at either the community or individual patient level and to provide examples of programs in each area. We analyzed data from a national dataset of 613 hospital community health needs assessments and corresponding implementation strategies. Among sample hospitals, 69.3% (n = 373) identified SDOH as a top-5 health need in their community and 60.6% (n = 326) reported investments in SDOH. Of hospitals with investments in SDOH, 44% of programs addressed health-related social needs of individual patients, while the remaining 56% of programs addressed SDOH at the community level. Hospitals that were major teaching organizations, those in the Western region of the United States, and hospitals in counties with more severe housing problems had greater odds of investing in SDOH at the community level. Although many nonprofit hospitals have integrated SDOH-related activities into their community benefit work, stronger policies are necessary to encourage greater investments at the community-level that move beyond the needs of individual patients.

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.

Proposing An Innovative Bond To Increase Investments In Social Drivers Of Health Interventions In Medicaid Managed Care

Interventions to address social drivers of health (SDH), such as food insecurity, transportation, and housing, can reduce future health care costs but require up-front investment. Although Medicaid managed care organizations have incentives to reduce costs, volatile enrollment patterns and coverage changes may prevent them from realizing the full benefits of their SDH investments. This phenomenon results in the "wrong-pocket problem," in which managed care organizations underinvest in SDH interventions because they cannot capture the full benefit. We propose a financial innovation, an SDH bond, to increase investments in SDH interventions. Issued by multiple managed care organizations in a Medicaid coverage region, the bond would raise immediate funds for SDH interventions that are coordinated across the organizations and delivered to all enrollees of the region. As the benefits of SDH interventions accrue and cost savings are realized, the amount managed care organizations must pay back to bond holders adjusts according to enrollment, addressing the wrong-pocket problem.

The effect of the right care, right place, right time (R3) initiative on Medicare health service use among older affordable housing residents

OBJECTIVE

To determine the effect of an affordable housing-based supportive services intervention, which partnered with health and community service providers, on Medicare health service use among residents.

DATA SOURCES

Analyses used aggregated fee-for-service Medicare claims data from 2017 to 2020 for beneficiaries living in 34 buildings in eastern Massachusetts.

STUDY DESIGN

Using a quasi-experimental design, a "difference-in-differences" framework was employed to isolate changes in outcomes, focusing on changes in pre- and post-intervention health service use across two stages of the intervention. Phase 1 encompassed the initial implementation period, and Phase 2 introduced a strategy to target residents at high risk of poor health outcomes. Key health service outcomes included hospitalizations, 30-day hospital readmission, and emergency department use.

DATA COLLECTION

Medicare claims data for 10,412 individuals were obtained from a Quality Improvement Organization and aggregated at the building level.

PRINCIPAL FINDINGS

Analyses for Phase 1 found that hospital admission rates, emergency department admissions and payments, and hospital readmission rates grew more slowly for intervention sites than comparison sites. These findings were strengthened after the introduction of risk-targeting in Phase 2. Compared to selected control buildings, residents in intervention buildings experienced significantly lower rates of increases in inpatient hospitalization rates (-16% vs. +6%), hospital admission days (-25% vs. +29%), average hospital days (-12% vs. +14%), hospital admission payments (-22% vs. +33%), and 30-day hospital readmission rates (-22% vs. +54%). When accounting for the older age of the intervention residents, the size of the decline recorded in emergency department admissions was 6.7% greater for the intervention sites than the decline in comparison sites.

CONCLUSIONS

A wellness-focused supportive services intervention was effective in reducing select health service use. The introduction of risk-targeting further strengthened this effect. Age-friendly health systems would benefit from enhanced partnerships with affordable housing sites to improve care and reduce service use for older residents.

The 'wrong pocket' problem as a barrier to the integration of telehealth in health organisations and systems

The COVID-19 pandemic has accelerated the deployment of telehealth services in many countries around the world. It also revealed many barriers and challenges to the use of digital health technologies in health organisations and systems that have persisted for decades. One of these barriers is what is known as the 'wrong pocket' problem - where an organisation or sector makes expenditures and investments to address a given problem, but the benefits (return on investment) are captured by another organisation or sector (the wrong pocket). This problem is the origin of many difficulties in public policies and programmes (e.g. education, environment, justice and public health), especially in terms of sustainability and scaling-up of technology and innovation. In this essay/perspective, we address the wrong pocket problem in the context of a major telehealth project in Canada. We show how the problem of sharing investments and expenses, as well as the redistribution of economies among the different stakeholders involved, may have threatened the sustainability and scaling-up of this project, even though it has demonstrated the clinical utility and contributed to improving the health of populations. In conclusion, the wrong pocket problem may be decisive in the reduced take-up, and potential failure, of certain telehealth programmes and policies. It is not enough for a telehealth service to be clinically relevant and 'efficient', it must also be mutually beneficial to the various stakeholders involved, particularly in terms of the equitable sharing of costs and benefits (return on investment) associated with the implementation of this new service model. Finally, the wrong pocket concept offers a helpful lens for studying the success, sustainability, and scale-up of digital transformations in health organisations and systems. This needs to be considered in future research and evaluations in the field.

Social Risk Factors Are Associated With Disability Prevalence - Results From 17 States in the 2017 Behavioral Risk Factor Surveillance System

PURPOSE

Determine the association between incremental increases in the number of social risk factors and the prevalence of any disability and disability type.

DESIGN

The cross-sectional analysis was conducted using 2017 Behavioral Risk Factor Surveillance System data from states whose surveys included items about social risk factors.

SETTING

Respondents from 17 US states.

SUBJECTS

Respondents included 136 432 adults.

MEASURES

Dichotomized social risk factors included food, housing, and financial insecurity, unsafe neighborhood, and healthcare access hardship.

ANALYSIS

Weighted χ² and logistic regression analyses adjusted for demographic characteristics, measures of socioeconomic position, and comorbid health conditions were used to examine differences in the prevalence of disability by social risk factor and via a social risk index created by summing the social risk factors.

RESULTS

Compared to those reporting 0 social risk factors, respondents reporting ≥4 had more than thrice the odds of reporting a cognition ((adjusted odds ratio [AOR]=3.37; 95%CI [2.75-4.13]), independent living (AOR=3.24 [2.52-4.15]), self-care (AOR=3.33 [2.55-4.34]), or any disability (AOR=3.90 [3.24-4.70]); more than twice the odds of reporting a vision (AOR=2.61 [1.93-3.52]) or mobility (AOR=2.72 [2.16-3.41]) disability; and more than 1.5 times the odds of reporting a hearing disability (AOR=1.59 [1.22-2.07]).

CONCLUSIONS

Incremental increases in the number of social risk factors were independently associated with higher odds of disability. Intervention efforts should address the social context of US adults with disabilities to improve health outcomes.

Determinants of voluntary compliance: COVID-19 mitigation

During the pre-vaccine period, the success of containing the spread of COVID-19 depends upon how communities respond to non-pharmaceutical mitigation policies such as social distancing, wearing of masks, retail and dining constraints, crowd limitation, and shelter-in-place orders. Of these policies, shelter-in-place and social distancing are of central importance. By using county-level mobility data as a measure of a community's voluntary compliance with social distancing policies, this study found that counties who received strong state social distancing policy directives and who had a high pro-social character showed lower mobility on retail and recreation mobility and grocery and pharmacy mobility (better social distancing) after states reopened from shelter-in-place orders. Counties that experienced a longer duration of shelter-in-place orders showed higher mobility (less social distancing), implying that the duration of the shelter-in-place order deteriorated social distancing response after reopening. This may be because reopening sent a "safe" signal to these counties or resulted in a response to the pent-up demand inducing higher mobility. The results indicate that implementing shelter-in-place and social distancing policies to slow down the transmission of COVID-19 were not necessarily effective in motivating a county to reduce mobility voluntarily. A county's pro-social character and the duration of shelter-in-place order should be considered when designing COVID-19 mitigation policies.

Social Determinants of Health Influence Future Health Care Costs in the Medicaid Cohort of the District of Columbia Study

Policy Points Social determinants of health are an important predictor of future health care costs. Medicaid must partner with other sectors to address the underlying causes of its beneficiaries' poor health and high health care spending.

CONTEXT

Social determinants of health are an important predictor of future health care costs but little is known about their impact on Medicaid spending. This study analyzes the role of social determinants of health (SDH) in predicting future health care costs for adult Medicaid beneficiaries with similar past morbidity burdens and past costs.

METHODS

We enrolled into a prospective cohort study 8,892 adult Medicaid beneficiaries who presented for treatment at an emergency department or clinic affiliated with two hospitals in Washington, DC, between September 2017 and December 31, 2018. We used SDH information measured at enrollment to categorize our participants into four social risk classes of increasing severity. We used Medicaid claims for a 2-year period; 12 months pre- and post-study enrollment to measure past and future morbidity burden according to the Adjusted Clinical Groups system. We also used the Medicaid claims data to characterize total annual Medicaid costs one year prior to and one year after study enrollment.

RESULTS

The 8,892 participants were primarily female (66%) and Black (91%). For persons with similar past morbidity burdens and past costs (p < 0.01), the future morbidity burden was significantly higher in the upper two social risk classes (1.15 and 2.04, respectively) compared with the lowest one. Mean future health care spending was significantly higher in the upper social risk classes compared with the lowest one ($2,713, $11,010, and $17,710, respectively) and remained significantly higher for the two highest social risk classes ($1,426 and $3,581, respectively), given past morbidity burden and past costs (p < 0.01). When we controlled for future morbidity burden (measured concurrently with future costs), social risk class was no longer a significant predictor of future health care costs.

CONCLUSIONS

SDH are statistically significant predictors of future morbidity burden and future costs controlling for past morbidity burden and past costs. Further research is needed to determine whether current payment systems adequately account for differences in the care needs of highly medically and socially complex patients.

Determinants of voluntary compliance: COVID-19 mitigation

During the pre-vaccine period, the success of containing the spread of COVID-19 depends upon how communities respond to non-pharmaceutical mitigation policies such as social distancing, wearing of masks, retail and dining constraints, crowd limitation, and shelter-in-place orders. Of these policies, shelter-in-place and social distancing are of central importance. By using county-level mobility data as a measure of a community's voluntary compliance with social distancing policies, this study found that counties who received strong state social distancing policy directives and who had a high pro-social character showed lower mobility on retail and recreation mobility and grocery and pharmacy mobility (better social distancing) after states reopened from shelter-in-place orders. Counties that experienced a longer duration of shelter-in-place orders showed higher mobility (less social distancing), implying that the duration of the shelter-in-place order deteriorated social distancing response after reopening. This may be because reopening sent a "safe" signal to these counties or resulted in a response to the pent-up demand inducing higher mobility. The results indicate that implementing shelter-in-place and social distancing policies to slow down the transmission of COVID-19 were not necessarily effective in motivating a county to reduce mobility voluntarily. A county's pro-social character and the duration of shelter-in-place order should be considered when designing COVID-19 mitigation policies.

Clinically Screening Hospital Patients for Social Risk Factors Across Multiple Hospitals: Results and Implications for Intervention Development

BACKGROUND

Hospitals are increasingly screening patients for social risk factors to help improve patient and population health. Intelligence gained from such screening can be used to inform social need interventions, the development of hospital-community collaborations, and community investment decisions.

OBJECTIVE

We evaluated the frequency of admitted patients' social risk factors and examined whether these factors differed between hospitals within a health system. A central goal was to determine if community-level social need interventions can be similar across hospitals.

DESIGN AND PARTICIPANTS

We described the development, implementation, and results from Northwell Health's social risk factor screening module. The statistical sample included patients admitted to 12 New York City/Long Island hospitals (except for maternity/pediatrics) who were clinically screened for social risk factors at admission from June 25, 2019, to January 24, 2020.

MAIN MEASURES

We calculated frequencies of patients' social needs across all hospitals and for each hospital. We used chi-square and Friedman tests to evaluate whether the hospital-level frequency and rank order of social risk factors differed across hospitals.

RESULTS

Patients who screened positive for any social need (n = 5196; 6.6% of unique patients) had, on average, 2.3 of 13 evaluated social risk factors. Among these patients, the most documented social risk factor was challenges paying bills (29.4%). The frequency of 12 of the 13 social risk factors statistically differed across hospitals. Furthermore, a statistically significant variance in rank orders between the hospitals was identified (Friedman test statistic 30.8 > 19.6: χ2 critical, p = 0.05). However, the hospitals' social need rank orders within their respective New York City/Long Island regions were similar in two of the three regions.

CONCLUSIONS

Hospital patients' social needs differed between hospitals within a metropolitan area. Patients at different hospitals have different needs. Local considerations are essential in formulating social need interventions and in developing hospital-community partnerships to address these needs.

The Relative Contribution of Social Determinants of Health Among Health Resources and Services Administration-Funded Health Centers

Frameworks for identifying and assessing social determinants of health (SDOH) are effective for developing long-term societal policies to promote health and well-being, but may be less applicable in clinical settings. The authors compared the relative contribution of a specific set of SDOH indicators with several measures of health status among patients served by health centers (HCs). The 2014 Health Center Patient Survey was used to identify a sample of HC patient adults 18 years and older that reported the HC as their usual source of care (n = 5024). The authors examined the relationship between SDOH indicators organized in categories (health behaviors, access and utilization, social factors, economic factors, quality of care, physical environment) with health status measures (fair or poor health, diabetes, hypertension, cardiovascular disease, depression, or anxiety) using logistic regressions and predicted probabilities. Findings indicated that access to care and utilization indicators had the greatest relative contribution to all health status measures, but the relative contribution of other SDOH indicators varied. For example, access indicators had the highest predicted probability in the model with fair or poor health as the dependent variable (72.4%) and the model with hypertension as the dependent variable (47.4%). However, the second highest predicted probability was for social indicators (54.1%) in the former model and physical environment (44.7%) indicators in the latter model. These findings have implications for HCs that serve as the primary point of access to medical care in underserved communities and to mitigate SDOH particularly for patients with diabetes, depression, or anxiety.

Addressing Adverse Childhood Experiences in Primary Care: Challenges and Considerations

This article draws attention to the overlapping literature on social determinants of health and adverse childhood experiences, and the growing clinical interest in addressing them to promote children's and parents' health and well-being. We address important considerations and suggest solutions for leaders and practitioners in primary care to address social determinants of health/adverse childhood experiences. Priorities include: begin with a few prevalent conditions for which there are helpful resources; focus on conditions that are current or recent and where parents may be more apt to engage in services; focus initially on families with children aged <6 given the frequency of well-child visits and the especially strong relationships between primary care professionals and parents during this period; ensure training of primary care professionals and staff to help them play this role competently and comfortably; and have good referral processes to facilitate additional evaluation or help.

Valuing the cross-sector benefits from improving youth health to drive investment in place-based preventive interventions in the US: A simulation modeling study

Healthcare payment reform has not produced incentives for investing in place-based, or population-level, upstream preventive interventions. This article uses economic modeling to estimate the long-term benefits to different sectors associated with improvements in population health indicators in childhood. This information can motivate policymakers to invest in prevention and provide guidance for cross-sector contracting to align incentives for implementing place-based preventive interventions. A benefit-cost model developed by the Washington State Institute for Public Policy was used to estimate total and sector-specific benefits expected from improvements to nine different population health indicators at ages 17 and 18. The magnitudes of improvement used in the model were comparable to those that could be achieved by high-quality implementation of evidence-based population-level preventive interventions. Benefits accruing throughout the lifecycle and over a ten-year time horizon were modelled. Intervention effect sizes of 0.10 and 0.20 demonstrated substantial long-term benefits for eight of the nine outcomes measured. At an effect size of 0.10, the median lifecycle benefit per participant across the ten indicators was $3080 (ranged: $93 to $14,220). The median over a 10-year time horizon was $242 (range: $14 to $1357). Benefits at effect sizes of 0.20 were approximately double. Policymakers may be able to build will for additional investment based on these cross-sector returns and communities may be able to capture these cross-sector benefits through contracting to better align incentives for implementing and sustaining place-based preventive interventions.

Association of Burden and Prevalence of Arthritis With Disparities in Social Risk Factors, Findings From 17 US States

Introduction

Social risks previously have been associated with arthritis prevalence and costs. Although social risks often cluster among individuals, no studies have examined associations between multiple social risks within the same individual. Our objective was to determine the association between individual and multiple social risks and the prevalence and burden of arthritis by using a representative sample of adults in 17 US states.

Methods

Data are from the 2017 Behavioral Risk Factor Surveillance System. Respondents were 136,432 adults. Social risk factors were food insecurity, housing insecurity, financial insecurity, unsafe neighborhoods, and health care access hardship. Weighted χ² and logistic regression analyses, controlling for demographic characteristics, measures of socioeconomic position, and other health conditions examined differences in arthritis prevalence and burden by social risk factor and by a social risk index created by summing the social risk factors.

Results

We observed a gradient in the prevalence and burden of arthritis. Compared with those reporting 0 social risk factors, respondents reporting 4 or more social risk factors were more likely to have arthritis (adjusted odds ratio [AOR], 1.92; 95% CI, 1.57–2.36) and report limited usual activities (AOR, 2.97; 95% CI, 2.20–4.02), limited work (AOR, 2.72; 95% CI, 2.06–3.60), limited social activities (AOR, 3.10; 95% CI, 2.26–4.26), and severe joint pain (AOR, 1.86; 95% CI, 1.44–2.41).

Conclusion

Incremental increases in the number of social risk factors were independently associated with higher odds of arthritis and its burden. Intervention efforts should address the social context of US adults to improve health outcomes.

Territorial Distribution of EU Funds Allocation for Developments of Rural Romania during 2014–2020

This study uses cross-section regressions and spatial econometrics techniques to identify determinants of rural development project implementation based on the Common Agriculture Policy (CAP) of the European Union. For this, we use 40 Romanian counties. Results show that agricultural land abundancy and land concentration degree are significant positive factors. On the contrary, the local human development level is a negative determinant, low values for this factor being an incentive to compensate the lack of own resources through European funding. No significant effects of the average salary or population density were depicted. Spatial analysis indicates contagion and diffusion processes for fund accession through projects. This behavior is like that in other financial sectors, in which human behavior is a decisive factor, such as the insurance one. A West–East clusterization process is identified for the total project value, conditioned by the identified factors.

Healthy City Project: An application of data envelopment analysis

Purpose

The importance of Korea’s Healthy City Project has recently increased due to the growth of the elderly population and chronic diseases. Consequently, local governments are expanding the project to manage health at the local level; however, because local government resources are limited, efficient business operation is required. Thus, the purpose of this study is to present a plan for effective project management by developing a strategy for a Healthy City Project that is suitable for the scale of local governments.

Methods

For efficiency analysis, data were collected from the homepages of 90 local governments that are implementing the Healthy City Project in Korea, and data envelopment analysis (DEA) was conducted using both the CCR model and the BCC model. The input variables for the DEA included budget, manpower, organization, planned projects, and research education. In addition, we selected program, network, and project performance as output variables.

Results

Analysis results indicated that the CCR model identified 22 (out of 90) municipalities in which Healthy City Projects are implemented efficiently, while 68 are inefficient. The BCC model identified many more efficient regions than the CCR model; however, the difference was insignificant. Thus, the budget, manpower, planned projects, and network must be increased to improve efficiency.

Conclusion

First, to improve the efficiency of the Healthy City Project, a sufficient budget must be secured during its implementation. Second, long- and short-term plans are needed to expand the Healthy City Program. Third, networks must be created for local governments to benchmark Healthy City Projects.

New Horizons-Addressing Healthcare Disparities in Endocrine Disease: Bias, Science, and Patient Care

Unacceptable healthcare disparities in endocrine disease have persisted for decades, and 2021 presents a difficult evolving environment. The COVID-19 pandemic has highlighted the gross structural inequities that drive health disparities, and antiracism demonstrations remind us that the struggle for human rights continues. Increased public awareness and discussion of disparities present an urgent opportunity to advance health equity. However, it is more complicated to change the behavior of individuals and reform systems because societies are polarized into different factions that increasingly believe, accept, and live different realities. To reduce health disparities, clinicians must (1) truly commit to advancing health equity and intentionally act to reduce health disparities; (2) create a culture of equity by looking inwards for personal bias and outwards for the systemic biases built into their everyday work processes; (3) implement practical individual, organizational, and community interventions that address the root causes of the disparities; and (4) consider their roles in addressing social determinants of health and influencing healthcare payment policy to advance health equity. To care for diverse populations in 2021, clinicians must have self-insight and true understanding of heterogeneous patients, knowledge of evidence-based interventions, ability to adapt messaging and approaches, and facility with systems change and advocacy. Advancing health equity requires both science and art; evidence-based roadmaps and stories that guide the journey to better outcomes, judgment that informs how to change the behavior of patients, providers, communities, organizations, and policymakers, and passion and a moral mission to serve humanity.

Measuring the Value of a Practical Text Mining Approach to Identify Patients With Housing Issues in the Free-Text Notes in Electronic Health Record: Findings of a Retrospective Cohort Study

Introduction: Despite the growing efforts to standardize coding for social determinants of health (SDOH), they are infrequently captured in electronic health records (EHRs). Most SDOH variables are still captured in the unstructured fields (i.e., free-text) of EHRs. In this study we attempt to evaluate a practical text mining approach (i.e., advanced pattern matching techniques) in identifying phrases referring to housing issues, an important SDOH domain affecting value-based healthcare providers, using EHR of a large multispecialty medical group in the New England region, United States. To present how this approach would help the health systems to address the SDOH challenges of their patients we assess the demographic and clinical characteristics of patients with and without housing issues and briefly look into the patterns of healthcare utilization among the study population and for those with and without housing challenges.

Methods: We identified five categories of housing issues [i.e., homelessness current (HC), homelessness history (HH), homelessness addressed (HA), housing instability (HI), and building quality (BQ)] and developed several phrases addressing each one through collaboration with SDOH experts, consulting the literature, and reviewing existing coding standards. We developed pattern-matching algorithms (i.e., advanced regular expressions), and then applied them in the selected EHR. We assessed the text mining approach for recall (sensitivity) and precision (positive predictive value) after comparing the identified phrases with manually annotated free-text for different housing issues.

Results: The study dataset included EHR structured data for a total of 20,342 patients and 2,564,344 free-text clinical notes. The mean (SD) age in the study population was 75.96 (7.51). Additionally, 58.78% of the cohort were female. BQ and HI were the most frequent housing issues documented in EHR free-text notes and HH was the least frequent one. The regular expression methodology, when compared to manual annotation, had a high level of precision (positive predictive value) at phrase, note, and patient levels (96.36, 95.00, and 94.44%, respectively) across different categories of housing issues, but the recall (sensitivity) rate was relatively low (30.11, 32.20, and 41.46%, respectively).

Conclusion: Results of this study can be used to advance the research in this domain, to assess the potential value of EHR's free-text in identifying patients with a high risk of housing issues, to improve patient care and outcomes, and to eventually mitigate socioeconomic disparities across individuals and communities.

Dismantling the legacy of failed policy approaches to pregnant people's use of alcohol and drugs

Most U.S. states have one or more pregnancy-specific alcohol or drug policies. However, research evidence indicates that some of these policies lead to increases in adverse birth outcomes, including low-birthweight and preterm birth. We offer explanations for why these ineffective policies related to pregnant people's use of alcohol and drugs in the U.S. exist, including: abortion politics; racism and the 'War on Drugs'; the design and application of scientific evidence; and lack of a pro-active vision. We propose alternative processes and concepts to guide strategies for developing new policy approaches that will support the health and well-being of pregnant people who use alcohol and drugs and their children. Processes include: involving people most affected by pregnancy-specific alcohol and drug policies in developing alternative policy and practice approaches as well as future research initiatives. Additionally, we propose that research funding support the development of policies and practices that bolster health and well-being rather than primarily documenting the harms of different substances. Concepts include accepting that policies adopted in response to pregnant people's use of alcohol and drugs cause harms and working to do better, as well as connecting to efforts that re-envision the child welfare system in the U.S.

Population Health Innovations and Payment to Address Social Needs Among Patients and Communities With Diabetes

Policy Points Population health efforts to improve diabetes care and outcomes should identify social needs, support social needs referrals and coordination, and partner health care organizations with community social service agencies and resources. Current payment mechanisms for health care services do not adequately support critical up-front investments in infrastructure to address medical and social needs, nor provide sufficient incentives to make addressing social needs a priority. Alternative payment models and value-based payment should provide up-front funding for personnel and infrastructure to address social needs and should incentivize care that addresses social needs and outcomes sensitive to social risk.

CONTEXT

Increasingly, health care organizations are implementing interventions to improve outcomes for patients with complex health and social needs, including diabetes, through cross-sector partnerships with nonmedical organizations. However, fee-for-service and many value-based payment systems constrain options to implement models of care that address social and medical needs in an integrated fashion. We present experiences of eight grantee organizations from the Bridging the Gap: Reducing Disparities in Diabetes Care initiative to improve diabetes outcomes by transforming primary care and addressing social needs within evolving payment models.

METHODS

Analysis of eight grantees through site visits, technical assistance calls, grant applications, and publicly available data from US census data (2017) and from Health Resources and Services Administration Uniform Data System Resources data (2018). Organizations represent a range of payment models, health care settings, market factors, geographies, populations, and community resources.

FINDINGS

Grantees are implementing strategies to address medical and social needs through augmented staffing models to support high-risk patients with diabetes (e.g., community health workers, behavioral health specialists), information technology innovations (e.g., software for social needs referrals), and system-wide protocols to identify high-risk populations with gaps in care. Sites identify and address social needs (e.g., food insecurity, housing), invest in human capital to support social needs referrals and coordination (e.g., embedding social service employees in clinics), and work with organizations to connect to community resources. Sites encounter challenges accessing flexible up-front funding to support infrastructure for interventions. Value-based payment mechanisms usually reward clinical performance metrics rather than measures of population health or social needs interventions.

CONCLUSIONS

Federal, state, and private payers should support critical infrastructure to address social needs and incentivize care that addresses social needs and outcomes sensitive to social risk. Population health strategies that address medical and social needs for populations living with diabetes will need to be tailored to a range of health care organizations, geographies, populations, community partners, and market factors. Payment models should support and incentivize these strategies for sustainability.

Partnering on the Social Determinants of Health With the Community Health Improvement Matrix

The research goal was to describe local health department community health improvement plans and hospital implementation strategies, assessing the extent to which they address the social determinants of health. In 2014, we used a grounded theory approach to conceptualize the extent of social determinant efforts in a purposive sample of improvement plans and implementation strategies (N = 12) taken from the community health assessment database pilot project (N = 502). We developed the Community Health Improvement Matrix (CHIM), categorizing public health activities according to target and prevention levels. In 2016, we surveyed NACCHO's Performance Improvement Workgroup (N = 9) using CHIM categories. In 2017, we tested the interrater reliability of the CHIM through an analysis of stories in 30 states (N = 101). We shared the CHIM in conferences, trainings, and focused conversations. The CHIM provides a framework for local public health partners to work together to address social determinants.

Upstream With A Small Paddle: How ACOs Are Working Against The Current To Meet Patients' Social Needs

Despite interest in addressing social determinants of health to improve patient outcomes, little progress has been made in integrating social services with medical care. We aimed to understand how health care providers with strong motivation (for example, operating under new payment models) and commitment (for example, early adopters) fared at addressing patients' social needs. We collected qualitative data from twenty-two accountable care organizations (ACOs). These ACOs were early adopters and were working on initiatives to address social needs, including such common needs as transportation, housing, and food. However, even these ACOs faced significant difficulties in integrating social services with medical care. First, the ACOs were frequently "flying blind," lacking data on both their patients' social needs and the capabilities of potential community partners. Additionally, partnerships between ACOs and community-based organizations were critical but were only in the early stages of development. Innovation was constrained by ACOs' difficulties in determining how best to approach return on investment, given shorter funding cycles and longer time horizons to see returns on social determinants investments. Policies that could facilitate the integration of social determinants include providing sustainable funding, implementing local and regional networking initiatives to facilitate partnership development, and developing standardized data on community-based organizations' services and quality to aid providers that seek partners.

Financing The Infrastructure Of Accountable Communities For Health Is Key To Long-Term Sustainability

Accountable Communities for Health (ACHs) are collaborative partnerships spanning health, public health, and social services that seek to improve the health of individuals and communities by addressing social determinants of health such as housing, food security, employment, and transportation. ACHs require funding not only for programs and services but also for core infrastructure functions. We conducted a legal and policy review to identify potential funding streams specifically for ACH infrastructure activities. We found multiple and credible options at the federal and state levels and in the public health, health insurance, and philanthropic and private sectors. Such options could support ACH infrastructure directly or through reimbursement for administrative costs associated with programmatic work. Yet we also found that there is no dedicated or explicit source of funding for these critical functions. For sustainable and long-term ACH support, policy makers and program administrators should clarify and define ACH infrastructure functions and, where appropriate, explicitly recognize supporting these functions as an allowable use of funds and facilitate their coordination across program funding streams.

"Health in" and "Health of" Social-Ecological Systems: A Practical Framework for the Management of Healthy and Resilient Agricultural and Natural Ecosystems

The past two decades have seen an accumulation of theoretical and empirical evidence for the interlinkages between human health and well-being, biodiversity and ecosystem services, and agriculture. The COVID-19 pandemic has highlighted the devastating impacts that an emerging pathogen, of animal origin, can have on human societies and economies. A number of scholars have called for the wider adoption of “One Health integrated approaches” to better prevent, and respond to, the threats of emerging zoonotic diseases. However, there are theoretical and practical challenges that have precluded the full development and practical implementation of this approach. Whilst integrated approaches to health are increasingly adopting a social-ecological system framework (SES), the lack of clarity in framing the key concept of resilience in health contexts remains a major barrier to its implementation by scientists and practitioners. We propose an operational framework, based on a transdisciplinary definition of Socio-Ecological System Health (SESH) that explicitly links health and ecosystem management with the resilience of SES, and the adaptive capacity of the actors and agents within SES, to prevent and cope with emerging health and environmental risks. We focus on agricultural transitions that play a critical role in disease emergence and biodiversity conservation, to illustrate the proposed participatory framework to frame and co-design SESH interventions. Finally, we highlight critical changes that are needed from researchers, policy makers and donors, in order to engage communities and other stakeholders involved in the management of their own health and that of the underpinning ecosystems.

Pivoting from decomposing correlates to developing solutions: An evidence-based agenda to address drivers of health

Health is influenced by many factors outside the health system. This is often expressed by decomposing contributors to health into factors that sum to 100 percent. In this commentary, we assess the (few) strengths and (many) limitations of such decompositions. We conclude that they fail to be useful for policy guidance. We conclude by proposing an alternative approach to assessing how various factors affect health: evaluations of interventions.

Population Health Impact and Cost-Effectiveness of Community-Supported Agriculture Among Low-Income US Adults: A Microsimulation Analysis

Objectives. To estimate the population-level effectiveness and cost-effectiveness of a subsidized community-supported agriculture (CSA) intervention in the United States.Methods. In 2019, we developed a microsimulation model from nationally representative demographic, biomedical, and dietary data (National Health and Nutrition Examination Survey, 2013-2016) and a community-based randomized trial (conducted in Massachusetts from 2017 to 2018). We modeled 2 interventions: unconditional cash transfer ($300/year) and subsidized CSA ($300/year subsidy).Results. The total discounted disability-adjusted life years (DALYs) accumulated over the life course to cardiovascular disease and diabetes complications would be reduced from 24 797 per 10 000 people (95% confidence interval [CI] = 24 584, 25 001) at baseline to 23 463 per 10 000 (95% CI = 23 241, 23 666) under the cash intervention and 22 304 per 10 000 (95% CI = 22 084, 22 510) under the CSA intervention. From a societal perspective and over a life-course time horizon, the interventions had negative incremental cost-effectiveness ratios, implying cost savings to society of -$191 100 per DALY averted (95% CI = -$191 767, -$188 919) for the cash intervention and -$93 182 per DALY averted (95% CI = -$93 707, -$92 503) for the CSA intervention.Conclusions. Both the cash transfer and subsidized CSA may be important public health interventions for low-income persons in the United States.

Financial Stress and Risk for Entry into Medicaid Among Older Adults

Background and Objectives

Spending in the Medicaid program is a significant concern to both state and federal policy makers. Medicaid spending is driven by program enrollment and services use. Older adults with high health care needs incur a disproportionate proportion of program spending. This analysis identifies factors that place older Medicare beneficiaries at increased risk for entering into Medicaid.

Research Design and Methods

We use multinomial logistic regression and the 2011–2017 National Health and Aging Trends Study (NHATS) to examine the risks among older Medicare beneficiaries for entering into Medicaid over a 6-year follow-up period. We examine both time-invariant and time-varying factors to measure the impact of social and health and functioning changes at older ages.

Results

The risk of entry into Medicaid was higher for older adults who relocated to a nursing home (relative risk ratio [RRR]: 7.75; 95% confidence interval [CI]: 5.33–11.26) or other residential care setting (RRR: 1.36; 95% CI: 0.96–1.92) compared to those who remained in traditional community settings. Older adults who reported skipping a meal in the last month because there was not enough money to buy food were 2.4 times (95% CI: 1.10–5.21) more likely to enter Medicaid than those who did not. Similarly, older adults who reported not having enough money to pay household utility bills in the last year were 1.89 times (95% CI: 1.08–3.30) more likely to enter Medicaid.

Discussion and Implications

Study findings suggest that trouble paying for basic needs increases the risk of entry into Medicaid. Further research is required to examine whether addressing these needs through improved access to social services that enable older adults to live safely in their home may delay or mitigate entry into Medicaid.

Multisectoral Collaborations to Increase the Use of Recommended Cancer Screening and Other Clinical Preventive Services by Older Adults

The Healthy Aging Partnerships in Prevention Initiative (HAPPI) is a multisectoral collaboration that aims to increase use of recommended cancer screening and other clinical preventive services (CPS) among underserved African American and Latino adults aged 50 and older in South Los Angeles. HAPPI uses the principles of the evidence-based model Sickness Prevention Achieved through Regional Collaboration to increase capacity for the delivery of breast, cervical, and colorectal cancer screening, as well as influenza and pneumococcal immunizations, and cholesterol screening. This article describes HAPPI's collaborative efforts to enhance local capacity by training personnel from community health centers (CHCs) and community-based organizations (CBOs), implementing a small grants program, and forming a community advisory council. HAPPI demonstrates that existing resources in the region can be successfully linked and leveraged to increase awareness and receipt of CPS. Five CHCs expanded quality improvement efforts and eight CBOs reached 2,730 older African Americans and Latinos through locally tailored educational programs that encouraged community-clinic linkages. A community council assumed leadership roles to ensure HAPPI sustainability. The lessons learned from these collective efforts hold promise for increasing awareness and fostering the use of CPS by older adults in underserved communities.