Housing, Transportation, And Food: How ACOs Seek To Improve Population Health By Addressing Nonmedical Needs Of Patients

Medicare Payments and ACOs for Dementia Patients Across Race and Social Vulnerability

OBJECTIVES

This study investigated variations in Medicare payments for Alzheimer's disease and related dementia (ADRD) by race, ethnicity, and neighborhood social vulnerability, together with cost variations by beneficiaries' enrollment in Accountable Care Organizations (ACOs).

METHODS

We used merged datasets of longitudinal Medicare Beneficiary Summary File (2016-2020), the Social Vulnerability Index (SVI), and the Medicare Shared Savings Program (MSSP) ACO to measure beneficiary-level ACO enrollment at the diagnosis year of ADRD. We analyzed Medicare payments for patients newly diagnosed with ADRD for the year preceding the diagnosis and for the subsequent 3 years. The dataset included 742,175 Medicare fee-for-service (FFS) beneficiaries aged 65 and older with a new diagnosis of ADRD in 2017 who remained in the Medicare FFS plan from 2016 to 2020.

RESULTS

Among those newly diagnosed, Black and Hispanic patients encountered higher total costs compared to White patients, and ADRD patients living in the most vulnerable areas experienced the highest total costs compared to patients living in other regions. These cost differences persisted over 3 years postdiagnosis. Patients enrolled in ACOs incurred lower costs across all racial and ethnic groups and SVI areas. For ADRD patients living in the areas with the highest vulnerability, the cost differences by ACO enrollment of the total Medicare costs ranged from $4,403.1 to $6,922.7, and beneficiaries' savings ranged from $114.5 to $726.6 over three years post-ADRD diagnosis by patient's race and ethnicity.

CONCLUSIONS

Black and Hispanic ADRD patients and ADRD patients living in areas with higher social vulnerability would gain more from ACO enrollment compared to their counterparts.

Home Food Delivery to Address Food Insecurity Following Hospital Discharge

Nearly 1 in 5 families with children in the United States are food insecure. Hospitalization of a child can exacerbate food insecurity, both during the hospitalization and after discharge. Although some hospitals provide free or subsidized meals during hospitalization, few address food insecurity in the immediate posthospitalization period. To address this gap, we developed an innovative Inpatient Food Pharmacy program. This program offers families of hospitalized children experiencing food insecurity a choice of 1 week of prepared meals, 6 months of monthly produce delivery, or both, after discharge. Our goals were to assess program enrollment, understand family preferences, and evaluate the program's feasibility and acceptability. Among 120 eligible families, 71 (59%) enrolled. Fifty-five families (77%) chose both prepared meals and produce delivery, 13 (18%) chose prepared meals only, and 3 (4%) chose produce delivery only. The program successfully delivered 6972 prepared meals and 348 boxes of produce over 10 months. Follow-up calls reached 41 (58%) of enrolled families, all of whom reported that the program met their acute food needs. Feedback from families and resource navigators suggested the program was acceptable. We aim to advocate for sustainable funding for food delivery for children and families experiencing food insecurity at 3 levels (1) institutionally, through our hospital's community benefit spending, (2) statewide, through a proposed Medicaid Section 1115 waiver providing grocery delivery to Medicaid-insured pregnant and postpartum individuals and their families, and (3) federally, through the Special Supplemental Nutrition Program for Women, Infants, and Children and the Supplemental Nutrition Assistance Program.

Meeting The Needs Of Socially Vulnerable Patients: Views Of ACO Leaders On Moving From Intent To Action

The Centers for Medicare and Medicaid Services has placed growing emphasis on social drivers of health, but little is known about how accountable care organizations (ACOs) aim to meet the needs of vulnerable patients. During September-December 2022, we interviewed leaders of forty-nine ACOs participating in the Medicare Shared Savings Program (MSSP). Participants were asked about strategies to identify socially vulnerable patients, programs that addressed their needs, and Medicare reforms that could support their efforts. Seven themes emerged: ACOs were in the early stages of collecting social needs data; leaders were frustrated by an incomplete ability to act on such data; ACOs tended to stratify patients by medical, rather than social, risk; some ACOs have introduced pilot programs to address challenges, including social isolation and drug costs; programs were often payer agnostic; rural ACOs faced unique challenges; and Medicare reforms related to reimbursement, logistical support, quality metrics, and patient benefits could support ACO efforts. These findings suggest that the MSSP alone has not been sufficient to promote consistent investment in social needs provision at most ACOs. Policy makers may want to consider more direct support and incentives for health care organizations, or greater investment in non-health care sectors, to help socially vulnerable patients.

Intensity and Variation of Health Navigator Support: Addressing Medical and Social Needs of Diabetes Patients in East Oakland

BACKGROUND

Healthcare systems are increasingly screening and referring patients for unmet social needs (e.g., food insecurity). Little is known about the intensity of support necessary to address unmet needs, how this support may vary by circumstance or time (duration), or the factors that may contribute to this variation.

OBJECTIVE

Describe health navigator services and the effort required to support patients with complex needs at a community health center in East Oakland, CA.

DESIGN

Retrospective analysis of de-identified patient contact notes (e.g., progress notes).

PARTICIPANTS

Convenience sample of patients (n = 27) enrolled in diabetes education and referred to health navigators.

INTERVENTIONS

Navigators provide education on managing conditions (e.g., diabetes), initiate and track medical and social needs referrals, and navigate patients to medical and social care organizations.

MAIN MEASURES

Descriptive statistics for prevalence, mean, median, and range values of patient contacts and navigation services. We described patterns and variation in navigation utilization (both contacts and navigation services) based on types of need.

KEY RESULTS

We identified 811 unmet social and medical needs that occurred over 710 contacts with health navigators; 722 navigation services were used to address these needs. Patients were supported by navigators for a median of 9 months; approximately 25% of patients received support for > 1 year. We categorized patients into 3 different levels of social risk, accounting for patient complexity and resource needs. The top tertile (n = 9; 33%) accounted for the majority of resource utilization, based on health navigator contacts (68%) and navigation services (75%).

CONCLUSIONS

The required intensity and support given to meet patients' medical and social needs is substantial and has significant variation. Meeting the needs of complex patients will require considerable investments in human capital, and a risk stratification system to help identify those most in need of services.

Addressing Social Needs in Clinical Settings: Implementation and Impact on Health Care Utilization, Costs, and Integration of Care

In recent years, health care policy makers have focused increasingly on addressing social drivers of health as a strategy for improving health and health equity. Impacts of social, economic, and environmental conditions on health are well established. However, less is known about the implementation and impact of approaches used by health care providers and payers to address social drivers of health in clinical settings. This article reviews current efforts by US health care organizations and public payers such as Medicaid and Medicare to address social drivers of health at the individual and community levels. We summarize the limited available evidence regarding intervention impacts on health care utilization, costs, and integration of care and identify key lessons learned from current implementation efforts.

Racing the Machine: Data Analytic Technologies and Institutional Inscription of Racialized Health Injustice

Recent scientific and policy initiatives frame clinical settings as sites for intervening upon inequality. Electronic health records and data analytic technologies offer opportunity to record standard data on education, employment, social support, and race-ethnicity, and numerous audiences expect biomedicine to redress social determinants based on newly available data. However, little is known on how health practitioners and institutional actors view data standardization in relation to inequity. This article examines a public safety-net health system's expansion of race, ethnicity, and language data collection, drawing on 10 months of ethnographic fieldwork and 32 qualitative interviews with providers, clinic staff, data scientists, and administrators. Findings suggest that electronic data capture institutes a decontextualized racialization within biomedicine as health practitioners and data workers rely on biological, cultural, and social justifications for collecting racial data. This demonstrates a critical paradox of stratified biomedicalization: The same data-centered interventions expected to redress injustice may ultimately reinscribe it.

Social determinants of health and obstetric outcomes: A report and recommendations of the workshop of the Society for Maternal-Fetal Medicine

This article is a report of a 2-day workshop, entitled "Social determinants of health and obstetric outcomes," held during the Society for Maternal-Fetal Medicine 2022 Annual Pregnancy Meeting. Participants' fields of expertise included obstetrics, pediatrics, epidemiology, health services, health equity, community-based research, and systems biology. The Commonwealth Foundation and the Alliance of Innovation on Maternal Health cosponsored the workshop and the Society for Women's Health Research provided additional support. The workshop included presentations and small group discussions, and its goals were to accomplish the following.

"Because There's Experts That Do That": Lessons Learned by Health Care Organizations When Partnering with Community Organizations

BACKGROUND

Health care organizations' partnerships with community-based organizations (CBOs) are increasingly viewed as key to improving patients' social needs (e.g., food, housing, and economic insecurity). Despite this reliance on CBOs, little research explores the relationships that health care organizations develop with CBOs.

OBJECTIVE

Understand how health care organizations interact with CBOs to implement social care.

DESIGN

Thirty-three semi-structured telephone interviews collected April-July 2019.

PARTICIPANTS

Administrators at 29 diverse health care organizations with active programming related to improving patients' social needs. Organizations ranged from multi-state systems to single-site practices and differed in structure, size, ownership, and geography.

MEASURES

Structure and goals of health care organizations' relationship with CBOs.

RESULTS

Most health care organizations (26 out of 29) relied on CBOs to improve their patients' social needs. Health care organization's goals for social care activities drove their relationships with CBOs. First, one-way referrals to CBOs did not require formal relationships or frequent interactions with CBOs. Second, when health care organizations contracted with CBOs to deliver discrete services, leadership-level relationships were required to launch programs while staff-to-staff interactions were used to maintain programs. Third, some health care organizations engaged in community-level activities with multiple CBOs which required more expansive, ongoing leadership-level partnerships. Administrators highlighted 4 recommendations for collaborating with CBOs: (1) engage early; (2) establish shared purpose for the collaboration; (3) determine who is best suited to lead activities; and (4) avoid making assumptions about partner organizations.

CONCLUSIONS

Health care organizations tailored the intensity of their relationships with CBOs based on their goals. Administrators viewed informal relationships with limited interactions between organizations sufficient for many activities. Our study offers key insights into how and when health care organizations may want to develop partnerships with CBOs.

Uncovering Barriers to Engagement in Substance Use Disorder Care for Medicaid Enrollees

OBJECTIVE

The authors aimed to uncover factors that affect engagement in substance use disorder treatment among Medicaid beneficiaries in New York State.

METHODS

The authors conducted 40 semistructured interviews with clients, plan administrators, health care providers, and policy leaders directly involved with substance use care in New York State. Data were analyzed with thematic analysis.

RESULTS

Main themes resulting from analysis of the 40 interviews showed that most stakeholders agreed that a need exists to better integrate psychosocial services into behavioral health care systems; that systemic stigma, stigma from providers, and lack of cultural responsiveness in the substance use care system hinder engagement in and provision of high-quality care; and that rural health care networks with coordinated models benefit clients' engagement in care.

CONCLUSIONS

Stakeholders involved in care for substance use disorder perceived a lack of integration of resources to meet clients' social needs, the presence of stigma, and low levels of cultural and linguistic capacity as key factors contributing to low engagement in and low quality of care for substance use disorder. Future interventions should address social needs within the therapeutic regimen and modify curricula in clinical training to reduce stigma and increase cultural competence.

Addressing Social Needs in Clinical Settings: Early Lessons from Accountable Health Communities

The Centers for Medicare and Medicaid Services recently adopted quality metrics that require hospitals to screen for health-related social risks. The hope is that these requirements will encourage health care organizations to refer patients with social needs to community resources and, as possible, offer navigation services. This approach-screening, referrals, and navigation-is based, in part, on the Accountable Health Communities (AHC) model. Twenty-two of 31 participants in the AHC model in 2019 were interviewed to generate guidance for health care organizations as they implement screening, referral, and navigation activities to improve patients' health-related social risks. From these interviews, the team identified 4 key program design elements that facilitated AHC implementation: (1) centralized management office, (2) accountability milestones, (3) prescriptive requirements, and (4) technology support. The structure and requirements of the AHC model spurred participating organizations to rapidly implement social care activities, but the model did not allow for the flexibility necessary to ensure sustained adoption of AHC activities. The AHC model required a designated centralized management office, which was instrumental in ensuring AHC activities were implemented effectively. The centralized management office was typically external from participating clinical sites that impacted the AHC model's integration within clinical workflows. The reliance on the centralized management office to implement AHC activities limited the sustainability of the model. As payers, policymakers, and delivery system leaders aim to develop sustainable and effective social care programs, insights from these interviews can help guide and shape policy and program design elements.

"I Felt Like I Had Something I Could Do About It": Pediatric Clinician Experiences With a Food Insecurity-Focused Produce Prescription Program

Efforts to address food insecurity (FI) in pediatric clinics have increased over the last decade, particularly after a groundbreaking 2015 American Academy of Pediatrics policy statement supporting universal routine screening and intervening. Produce prescription programs are a novel strategy addressing FI. Limited data exist on effectiveness and feasibility in pediatric clinical settings. This study explored clinician experiences after enrolling patients who completed a produce prescription program in an urban primary-care clinic in Washington, DC. One year after program completion, the experiences of 11 clinicians were explored through qualitative interviews and coded using thematic content analysis. Identified themes explored changes in clinician knowledge, attitudes, and behaviors. Clinicians expressed that the program offered a tangible resource to address FI, building trust and strengthening their sense of self-efficacy in addressing families' concerns. Incorporation of a produce prescription intervention to address FI was feasible and well accepted by pediatric primary-care clinicians.

The impact of screening for social risks on OBGYN patients and providers: A systematic review of current evidence and key gaps

BACKGROUND

Increasingly, policymakers and professional organizations support screening for social assets and risks during clinical care. Scant evidence exists on how screening impacts patients, providers, or health systems.

OBJECTIVE

To systematically review published literature for evidence of the clinical utility of screening for social determinants of health in clinical obstetric and gynecologic (OBGYN) care.

SEARCH STRATEGY

We systematically searched Pubmed (March 2022, 5,302 identified) and identified additional articles using hand sorting (searching articles citing key articles (273 identified) and through bibliography review (20 identified)).

SELECTION CRITERIA

We included all articles that measured a quantitative outcome of systematic social determinants of health (SDOH) screening in an OBGYN clinical setting. Each identified citation was reviewed by two independent reviewers at both the title/abstract and full text stages.

DATA COLLECTION AND ANALYSIS

We identified 19 articles for inclusion and present the results using narrative synthesis.

MAIN RESULTS

The majority of articles reported on SDOH screening during prenatal care (16/19) and the most common SDOH was intimate partner violence (13/19 studies). Overall, patients had favorable attitudes towards SDOH screening (in 8/9 articles measuring attitudes), and referrals were common following positive screening (range 5.3%-63.6%). Only two articles presented data on the effects of SDOH screening on clinicians and none on health systems. Three articles present data on resolution of social needs, with inconsistent results.

CONCLUSIONS

Limited evidence exists on the benefits of SDOH screening in OBGYN clinical settings. Innovative studies leveraging existing data collection are needed to expand and improve SDOH screening.

Screening for Health-Related Social Needs and Collaboration With External Partners Among US Hospitals

Importance

In recent years, hospitals and health systems have reported increasing rates of screening for patients' individual and community social needs, but few studies have explored the national landscape of screening and interventions directed at addressing health-related social needs (HRSNs) and social determinants of health (SDOH).

Objective

To evaluate the associations of hospital characteristics and area-level socioeconomic indicators to quantify the presence and intensity of hospitals' screening practices, interventions, and collaborative external partnerships that seek to measure and ameliorate patients' HRSNs and SDOH.

Design, Setting, and Participants

This cross-sectional study used national data from the American Hospital Association Annual Survey Database for fiscal year 2020. General-service, acute-care, nonfederal hospitals were included in the study's final sample, representing nationally diverse hospital settings. Data were analyzed from July 2022 to February 2023.

Exposures

Organizational characteristics and area-level socioeconomic indicators.

Main Outcomes and Measures

The outcomes of interest were hospital-reported patient screening of and strategies to address 8 HRSNs and 14 external partnership types to address SDOH. Composite scores for screening practices and external partnership types were calculated, and ordinary least-square regression analyses tested associations of organizational characteristics with outcome measures.

Results

Of 2858 US hospital respondents (response rate, 67.0%), most hospitals (79.2%; 95% CI, 77.7%-80.7%) reported screening patients for at least 1 HRSN, with food insecurity or hunger needs (66.1%; 95% CI, 64.3%-67.8%) and interpersonal violence (66.4%; 95% CI, 64.7%-68.1%) being the most commonly screened social needs. Most hospitals (79.4%; 95% CI, 66.3%-69.7%) reported having strategies and programs to address patients' HRSNs; notably, most hospitals (52.8%; 95% CI, 51.0%-54.5%) had interventions for transportation barriers. Hospitals reported a mean of 4.03 (95% CI, 3.85-4.20) external partnership types to address SDOH and 5.69 (5.50-5.88) partnership types to address HRSNs, with local or state public health departments and health care practitioners outside of the health system being the most common. Hospitals with accountable care contracts (ACCs) and bundled payment programs (BPPs) reported higher screening practices (ACC: β = 1.03; SE = 0.13; BPP: β = 0.72; SE = 0.14), interventions (ACC: β = 1.45; SE = 0.12; BPP: β = 0.61; SE = 0.13), and external partnership types to address HRSNs (ACC: β = 2.07; SE = 0.23; BPP: β = 1.47; SE = 0.24) and SDOH (ACC: β = 2.64; SE = 0.20; BPP: β = 1.57; SE = 0.21). Compared with nonteaching, government-owned, and for-profit hospitals, teaching and nonprofit hospitals were also more likely to report more HRSN-directed activities. Patterns based on geographic and area-level socioeconomic indicators did not emerge.

Conclusions and Relevance

This cross-sectional study found that most US hospitals were screening patients for multiple HRSNs. Active participation in value-based care, teaching hospital status, and nonprofit status were the characteristics most consistently associated with greater overall screening activities and number of related partnership types. These results support previously posited associations about which types of hospitals were leading screening uptake and reinforce understanding of the role of hospital incentives in supporting health equity efforts.

Population health management in Belgium: a call-to-action and case study

BACKGROUND

Although there are already success stories, population health management in Belgium is still in its infancy. A health system transformation approach such as population health management may be suited to address the public health issue of atherosclerotic cardiovascular disease, as this is one of the main causes of mortality in Belgium. This article aims to raise awareness about population health management in Belgium by: (a) eliciting barriers and recommendations for its implementation as perceived by local stakeholders; (b) developing a population health management approach to secondary prevention of atherosclerotic cardiovascular disease; and (c) providing a roadmap to introduce population health management in Belgium.

METHODS

Two virtual focus group discussions were organized with 11 high-level decision makers in medicine, policy and science between October and December 2021. A semi-structured guide based on a literature review was used to anchor discussions. These qualitative data were studied by means of an inductive thematic analysis.

RESULTS

Seven inter-related barriers and recommendations towards the development of population health management in Belgium were identified. These related to responsibilities of different layers of government, shared responsibility for the health of the population, a learning health system, payment models, data and knowledge infrastructure, collaborative relationships and community involvement. The introduction of a population health management approach to secondary prevention of atherosclerotic cardiovascular disease may act as a proof-of-concept with a view to roll out population health management in Belgium.

CONCLUSIONS

There is a need to instill a sense of urgency among all stakeholders to develop a joint population-oriented vision in Belgium. This call-to-action requires the support and active involvement of all Belgian stakeholders, both at the national and regional level.

Patients' Willingness to Accept Social Needs Navigation After In-Person versus Remote Screening

BACKGROUND

Social needs screening and referral interventions are increasingly common in health care settings. Although remote screening offers a potentially more practical alternative to traditional in-person screening, there is concern that screening patients remotely could adversely affect patient engagement, including interest in accepting social needs navigation.

METHODS

We conducted a cross-sectional study using a multivariable logistic regression analysis and data from the Accountable Health Communities (AHC) model in Oregon. Participants were Medicare and Medicaid beneficiaries in the AHC model from October 2018 through December 2020. The outcome variable was patients' willingness to accept social needs navigation assistance. We included an interaction term (total number of social needs + screening mode) to test whether in-person versus remote screening was an effect modifier.

RESULTS

The study included participants who screened positive for ≥1 social need(s); 43% were screened in person and 57% remotely. Overall, 71% of participants were willing to accept help with social needs. Neither screening mode nor interaction term were significantly associated with willingness to accept navigation assistance.

CONCLUSIONS

Among patients presenting with similar numbers of social needs, results indicate that type of screening mode may not adversely affect patients' willingness to accept health care-based navigation for social needs.

Improving Health and Addressing Social Determinants of Health Through Hospital Partnerships

Hospitals and health systems are forming partnerships to develop an integrated social network of services that better address the needs of their surrounding communities and their social determinants of health (SDOH). There is little research on the association of these partnered services with hospital outcomes. This study examined the association between hospital social need partnerships and activities to improve hospital and community outcomes. A secondary cross-sectional design to analyze 2021 census data of nonfederal short-term acute care hospitals in the United States was utilized. Data were obtained from the American Hospital Association. Four multilevel logistic regression models were used to analyze data from 1005 hospitals. The authors found that hospital partnership type differed in association to social need outcomes. They found that hospitals with a partnership with health insurance providers were more likely to have better health outcomes. Hospitals partnered with health insurance providers, local organizations addressing housing insecurity, local businesses, or chambers of commerce were more likely to have decreased health care costs. Hospitals partnered with health care providers, health insurance providers, local organizations providing legal assistance, or law enforcement/safety forces were more likely to have decreased utilization of hospital services. However, hospitals partnered with other local or state government or social service organizations were less likely to indicate decreased utilization of services. Many hospitals and health systems across the United States are screening for SDOH and are advancing health care delivery and improving the community's overall health and well-being by identifying unmet social needs and partnering with the community to address them.

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.

Developing an operational definition of housing instability and homelessness in Veterans Health Administration's medical records

The main objective of this study was to examine how homelessness and housing instability is captured across data sources in the Veterans Health Administration (VHA). Data from 2021 were extracted from three data repositories, including the Corporate Data Warehouse (CDW), the Homeless Operations Management System (HOMES), and the Homeless Management Information System (HMIS). Using these three data sources, we identified the number of homeless and unstably housed veterans across a variety of indicators. The results showed that the use of diagnostic codes and clinic stop codes identified a large number of homeless and unstably housed veterans, but the use of HOMES and HMIS data identified additional homeless and unstably housed veterans to provide a complete count. A total of 290,431 unique veterans were identified as experiencing homelessness or housing instability in 2021 and there was regional variability in how homelessness and housing stability were captured across data sources, supporting the need for more uniform ways to operationalize these conditions. Together, these findings highlight the and encourage use of all available indicators and data sources to identify homelessness and housing instability in VHA. These methodologies applied to the largest healthcare system in the U.S. demonstrate their utility and possibilities for other healthcare systems. Transparent practices about data sources and indicators used to capture homelessness and housing instability should be shared to increase uniform use.

Cross-Sector Strategic Alliances Between Health Care Organizations and Community-Based Organizations: Marrying Theory and Practice

While it has long been established that social factors, such as housing, transportation, and income, influence health and health care outcomes, over the last decade, attention to this topic has grown dramatically. Reforms that promote high-quality care as well as responsibility for total cost of care have shifted focus among health care providers toward upstream determinants of health care outcomes. As a result, there has been a proliferation of activity focused on integrating and aligning social and medical care, many of which depend critically on cross-sector alliances. Despite considerable activity in this area, cross-sector alliances in health care remain largely undertheorized. Both literatures stand to gain from more attention to carefully knitting together the theoretical and management literature on alliances with the empirical, health policy and health services literature on cross-sector alliances in health care. In this chapter, we lay out what exists in the current scientific literature as well as a framework for considering much needed work in this area. We organize the literature and our commentary around the lifecycle of alliances: alliance formation, including factors prompting alliance formation, partner selection, and alliance goals; alliance maturity, including the work of these cross-sector alliances, governance, finance and contracts, staffing structure, and rewards; and critical crossroads, including alliance timelines, definitions of success, and dissolution. We also lay out critical areas for future inquiry, including better theorizing on cross-sector alliances, developing typologies of these cross-sector health care alliances, and the role of policy in cross-sector alliances.

"More than just giving them a piece of paper": Interviews with Primary Care on Social Needs Referrals to Community-Based Organizations

BACKGROUND

Primary care practices are responding to calls to incorporate patients' social risk factors, such as housing, food, and economic insecurity, into clinical care. Healthcare likely relies on the expertise and resources of community-based organizations to improve patients' social conditions, yet little is known about the referral process.

OBJECTIVE

To characterize referrals to community-based organizations by primary care practices.

DESIGN

Qualitative study using semi-structured interviews with healthcare administrators responsible for social care efforts in their organization.

PARTICIPANTS

Administrators at 50 diverse US healthcare organizations with efforts to address patients' social risks.

MAIN MEASURES

Approaches used in primary care to implement social needs referral to community-based organizations.

RESULTS

Interviewed administrators reported that social needs referrals were an essential element in their social care activities. Administrators described the ideal referral programs as placing limited burden on care teams, providing patients with customized referrals, and facilitating closed-loop referrals. We identified three key challenges organizations experience when trying to implement the ideal referrals program: (1) developing and maintaining resources lists; (2) aligning referrals with patient needs; and (3) measuring the efficacy of referrals. Collectively, these challenges led to organizations relying on staff to manually develop and update resource lists and, in most cases, provide patients with generic referrals. Administrators not only hoped that referral platforms may help overcome some of these barriers, but also reported implementation challenges with platforms including inconsistent buy-in and use across staff; integration with electronic health records; management and prioritization of resources; and alignment with other organizations in their market.

CONCLUSION AND RELEVANCE

Referrals to community-based organizations were used in primary care to improve patients' social conditions, but despite strong motivations, interviewees reported challenges providing tailored and up-to-date information to patients.

"It Made Me Feel like Things Are Starting to Change in Society:" A Qualitative Study to Foster Positive Patient Experiences during Phone-Based Social Needs Interventions

Many healthcare organizations are screening patients for health-related social needs (HRSN) to improve healthcare quality and outcomes. Due to both the COVID-19 pandemic and limited time during clinical visits, much of this screening is now happening by phone. To promote healing and avoid harm, it is vital to understand patient experiences and recommendations regarding these activities. We conducted a pragmatic qualitative study with patients who had participated in a HRSN intervention. We applied maximum variation sampling, completed recruitment and interviews by phone, and carried out an inductive reflexive thematic analysis. From August to November 2021 we interviewed 34 patients, developed 6 themes, and used these themes to create a framework for generating positive patient experiences during phone-based HRSN interventions. First, we found patients were likely to have initial skepticism or reservations about the intervention. Second, we identified 4 positive intervention components regarding patient experience: transparency and respect for patient autonomy; kind demeanor; genuine intention to help; and attentiveness and responsiveness to patients' situations. Finally, we found patients could be left with feelings of appreciation or hope, regardless of whether they connected with HRSN resources. Healthcare organizations can incorporate our framework into trainings for team members carrying out phone-based HRSN interventions.

Exit Rates of Accountable Care Organizations That Serve High Proportions of Beneficiaries of Racial and Ethnic Minority Groups

Importance

The Medicare Shared Savings Program provides financial incentives for accountable care organizations (ACOs) to reduce costs of care. The structure of the shared savings program may not adequately adjust for challenges associated with caring for patients with high medical complexity and social needs, a population disproportionately made up of racial and ethnic minority groups. If so, ACOs serving racial and ethnic minority groups may be more likely to exit the program, raising concerns about the equitable distribution of potential benefits from health care delivery reform efforts.

Objective

To evaluate whether ACOs with a high proportion of beneficaries of racial and ethnic minority groups are more likely to exit the Medicare Shared Savings Program and identify characteristics associated with this disparity.

Design, Setting, and Participants

This retrospective observational cohort study used secondary data on Medicare Shared Savings Program ACOs from January 2012 through December 2018. Bivariate and multivariate cross-sectional regression analyses were used to understand whether ACO racial and ethnic composition was associated with program exit, and how ACOs with a high proportion of beneficaries of racial and ethnic minority groups differed in characteristics associated with program exit.

Exposures

Racial and ethnic composition of an ACO's beneficiaries.

Main Outcomes and Measures

Shared savings program exit before 2018.

Results

The study included 589 Medicare Shared Savings Program ACOs. The ACOs in the highest quartile of proportion of beneficaries of racial and ethnic minority groups were designated high-proportion ACOs (145 [25%]), and those in the lowest 3 quartiles were designated low-proportion ACOs (444 [75%]). In unadjusted analysis, a 10-percentage point increase in the proportion of beneficiaries of racial and ethnic minority groups was associated with a 1.12-fold increase in the odds of an ACO exit (95% CI, 1.00-1.25; P = .04). In adjusted analysis, there were significant associations among high-proportion ACOs between characteristics such as patient comorbidities, disability, and clinician composition and a higher likelihood of exit.

Conclusions and Relevance

The study results suggest that ACOs that served a higher proportion of beneficaries of racial and ethnic minority groups were more likely to exit the Medicare Shared Savings Program, partially because of serving patients with greater disease severity and complexity. These findings raise concerns about how current payment reform efforts may differentially affect racial and ethnic minority groups.

Associations Between Different Self-reported Social Risks and Neighborhood-level Resources in Medicaid Patients

BACKGROUND

Adverse social conditions are a key contributor to health disparities. Improved understanding of how social risk factors interact with each other and with neighborhood characteristics may inform efforts to reduce health disparities.

DATA

A questionnaire of 29,281 patients was collected through the enrollment of Medicaid beneficiaries in a large Northern California integrated health care delivery system between May 2016 and February 2020.

EXPOSURES

Living in the least resourced quartile of neighborhoods as measured by a census-tract level Neighborhood Deprivation Index score.

MAIN OUTCOMES

Five self-reported social risk factors: financial need, food insecurity, housing barriers, transportation barriers, and functional limitations.

RESULTS

Nearly half (42.0%) of patients reported at least 1 social risk factor; 22.4% reported 2 or more. Mean correlation coefficient between social risk factors was ρ=0.30. Multivariable logistic models controlling for age, race/ethnicity, sex, count of chronic conditions, and insurance source estimated that living in the least resourced neighborhoods was associated with greater odds of food insecurity (adjusted odds ratio=1.07, 95% confidence interval: 1.00-1.13) and transportation barriers (adjusted odds ratio=1.20, 95% confidence interval: 1.11-1.30), but not financial stress, housing barriers, or functional limitations.

CONCLUSIONS AND RELEVANCE

We found that among 5 commonly associated social risk factors, Medicaid patients in a large Northern California health system typically reported only a single factor and that these factors did not correlate strongly with each other. We found only modestly greater social risk reported by patients in the least resourced neighborhoods. These results suggest that individual-level interventions should be targeted to specific needs whereas community-level interventions may be similarly important across diverse neighborhoods.

Association Between Self-reported Health-Related Social Needs and Acute Care Utilization Among Older Adults Enrolled in Medicare Advantage

Importance

There is increased focus on identifying and addressing health-related social needs (HRSNs). Understanding how different HRSNs relate to different health outcomes can inform targeted, evidence-based policies, investments, and innovations to address HRSNs.

Objective

To examine the association between self-reported HRSNs and acute care utilization among older adults enrolled in Medicare Advantage.

Design Setting and Participants

This cross-sectional study used data from a large, national survey of Medicare Advantage beneficiaries to identify the presence of HRSNs. Survey data were linked to medical claims, and regression models were used to estimate the association between HRSNs and rates of acute care utilization from January 1, 2019, through December 31, 2019.

Exposures

Self-reported HRSNs, including food insecurity, financial strain, loneliness, unreliable transportation, utility insecurity, housing insecurity, and poor housing quality.

Main Outcomes and Measures

All-cause hospital stays (inpatient admissions and observation stays), avoidable hospital stays, all-cause emergency department (ED) visits, avoidable ED visits, and 30-day readmissions.

Results

Among a final study population of 56 155 Medicare Advantage beneficiaries (mean [SD] age, 74.0 [5.8] years; 32 779 [58.4%] women; 44 278 [78.8%] White; and 7634 [13.6%] dual eligible for Medicaid), 27 676 (49.3%) reported 1 or more HRSNs. Health-related social needs were associated with statistically significantly higher rates of all utilization measures, with the largest association observed for avoidable hospital stays (incident rate ratio for any HRSN, 1.53; 95% CI, 1.35-1.74; P < .001). Compared with beneficiaries without HRSNs, beneficiaries with an HRSN had a 53.3% higher rate of avoidable hospitalization (incident rate ratio, 1.53; 95% CI, 1.35-1.74; P < .001). Financial strain and unreliable transportation were each independently associated with increased rates of hospital stays (marginal effects of 26.5 [95% CI, 14.2-38.9] and 51.2 [95% CI, 30.7-71.8] hospital stays per 1000 beneficiaries, respectively). All HRSNs, except for utility insecurity, were independently associated with increased rates of ED visits. Unreliable transportation had the largest association with increased hospital stays and ED visits, with marginal effects of 51.2 (95% CI, 30.7-71.8) and 95.5 (95% CI, 65.3-125.8) ED visits per 1000 beneficiaries, respectively. Only unreliable transportation and financial strain were associated with increased rates of 30-day readmissions, with marginal effects of 3.3% (95% CI, 2.0%-4.0%) and 0.4% (95% CI, 0.2%-0.6%), respectively.

Conclusions and Relevance

In this cross-sectional study of older adults enrolled in Medicare Advantage, self-reported HRSNs were common and associated with statistically significantly increased rates of acute care utilization, with variation in which HRSNs were associated with different utilization measures. These findings provide evidence of the unique association between certain HRSNs and different types of acute care utilization, which could help refine the development and targeting of efforts to address HRSNs.

Associations among social needs, health and healthcare utilization, and desire for navigation services among US Medicaid beneficiaries with type 2 diabetes

The purpose of this study was to better understand the number and types of social needs experienced by Medicaid beneficiaries with type 2 diabetes, and how their social needs are associated with key health indicators. Also examined were factors that influence patients' interest in navigation services for health and social needs to inform future interventions and service delivery. The study expands upon prior research, much of which has focused on only one social need (e.g., food insecurity) or one health outcome. The hypothesis was that among individuals with type 2 diabetes, those with a greater number of social needs would report more health-related problems and be more interested in receiving social needs navigation services. Participants completed a cross-sectional survey by phone (n = 95) or online (n = 14). Most (85%) reported having at least one social need (M = 2.5, SD = 2.2), most commonly not having enough money for unexpected expenses (68%) or necessities like food, shelter and clothing (31%), medical costs (24%), and utilities (23%). Results supported our comprehensive conceptual model. Having more social needs was associated with greater perceived stress, diabetes distress, problems with sleep and executive and cognitive functioning, less frequent diabetes self-care activities, more days of poor mental health and activity limitations, worse self-reported health and more hospitalisations. Number of social needs also was positively associated with interest in having a social needs navigator. Social needs were not associated with days of poor physical health, BMI, self-reported A1C or smoking status. Social needs were associated with a wide range of indicators of poor health and well-being. Participants with the greatest social need burden were most open to intervention.

Social Needs Resource Connections: A Systematic Review of Barriers, Facilitators, and Evaluation

INTRODUCTION

Healthcare organizations increasingly are screening patients for social needs (e.g., food, housing) and referring them to community resources. This systematic mixed studies review assesses how studies evaluate social needs resource connections and identifies patient- and caregiver-reported factors that may inhibit or facilitate resource connections.

METHODS

Investigators searched PubMed and CINAHL for articles published from October 2015 to December 2020 and used dual review to determine inclusion based on a priori selection criteria. Data related to study design, setting, population of interest, intervention, and outcomes were abstracted. Articles' quality was assessed using the Mixed Methods Appraisal Tool. Data analysis was conducted in 2021.

RESULTS

The search identified 34 articles from 32 studies. The authors created a taxonomy of quantitative resource connection measures with 4 categories: whether participants made contact with resources, received resources, had their social needs addressed, or rated some aspect of their experience with resources. Barriers to resource connections were inadequacy, irrelevancy, or restrictiveness; inaccessibility; fears surrounding stigma or discrimination; and factors related to staff training and resource information sharing. Facilitators were referrals' relevancy, the degree of support and simplicity embedded within the interventions, and interventions being comprehensive and inclusive.

DISCUSSION

This synthesis of barriers and facilitators indicates areas where healthcare organizations may have agency to improve the efficacy of social needs screening and referral interventions. The authors also recommend that resource connection measures be explicitly defined and focus on whether participants received new resources and whether their social needs were addressed.

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.

Evaluation of a Natural Language Processing Approach to Identify Social Determinants of Health in Electronic Health Records in a Diverse Community Cohort

BACKGROUND

Health care systems in the United States are increasingly interested in measuring and addressing social determinants of health (SDoH). Advances in electronic health record systems and Natural Language Processing (NLP) create a unique opportunity to systematically document patient SDoH from digitized free-text provider notes.

METHODS

Patient SDoH status [recorded by Your Current Life Situation (YCLS) Survey] and associated provider notes recorded between March 2017 and June 2020 were extracted (32,261 beneficiaries; 50,722 YCLS surveys; 485,425 provider notes).NLP patterns were generated using a machine learning test statistic (Term Frequency-Inverse Document Frequency). Patterns were developed and assessed in a training, training validation, and final validation dataset (64%, 16%, and 20% of total data, respectively).NLP models analyzed SDoH-specific categories (housing, medical care, and transportation needs) and a combined SDoH metric. Model performance was assessed using sensitivity, specificity, and Cohen κ statistic, assuming the YCLS Survey to be the gold standard.

RESULTS

Within the training validation dataset, NLP models showed strong sensitivity and specificity, with moderate agreement with the YCLS Survey (Housing: sensitivity=0.67, specificity=0.89, κ=0.51; Medical care: sensitivity=0.55, specificity=0.73, κ=0.20; Transportation: sensitivity=0.79, specificity=0.87, κ=0.58). Model performance in the training and training validation datasets were comparable.In the final validation dataset, a combined SDoH prediction metric showed sensitivity=0.77, specificity=0.69, κ=0.45.

CONCLUSION

This NLP algorithm demonstrated moderate performance in identification of unmet patient social needs. This novel approach may enable improved targeting of interventions, allocation of limited resources and monitoring a health care system's addressing its patients' SDoH needs.

Applying a Health Access Framework to Understand and Address Food Insecurity

The prevalence of food insecurity (FI) in United States households has fluctuated between 10% and 15% for the past two decades, well above the Healthy People 2030 goal. FI is associated with increased use of healthcare services and the prevalence of multiple health conditions. Our current efforts to address FI may be limited by measures that lack granularity, timeliness, and consideration of larger food access barriers (e.g., availability of food providers and lack of knowledge regarding where to obtain food). If the Healthy People 2030 goal of reducing FI to 6% is to be met, we need better and faster methods for monitoring and tracking FI in order to produce timely interventions. In this paper, we review key contributors of FI from an access barrier perspective, investigate the limitations of current FI measures, and explore how data from one nonprofit organization may enhance our understanding of FI and facilitate access to resources at the local level. We also propose a conceptual framework illustrating how nonprofit organizations may play an important role in understanding and addressing FI and its intertwined social needs, such as housing and healthcare problems.

Active Health Governance—A Conceptual Framework Based on a Narrative Literature Review

Health policies are regarded as a governance mechanism crucial for reducing health inequity and improving overall health outcomes. Policies that address chronic conditions or health inequity suggest a governance shift toward active health over past decades. However, the current literature in health policy largely focused on some specific health policy changes and their tangible outcomes, or on specific inequality of health policies in gender, age, racial, or economic status, short of comprehensively responding to and addressing the shift. This is exacerbated further by a common confusion that equates health policy with health care policy, which has been burdened by increased population ageing, growing inequalities, rising expenditures, and growing social expectations. This study conducted a narrative literature review to comprehensively and critically analyze the most current knowledge on health policy in order to help us establish a theoretical framework on active health governance. The comprehensive framework proposed in this paper identifies the main elements of a well-defined active health governance and the interactions between these elements. The proposed framework is composed of four elements (governance for health, social determinants of health, lifestyle determinants of health, and health system) and three approaches (whole-of-government approach, whole-of-society approach, and lifespan/life-course approach) that are dynamically interacted to achieve two active health outcomes (health equity and health improvement). The framework provides a conceptual solution to the issues of current literature on health policy and practically serves as a new guide for health policymaking.

The association between social needs and chronic conditions in a large, urban primary care population

There is consensus that social needs influence health outcomes, but less is known about the relationships between certain needs and chronic health conditions in large, diverse populations. This study sought to understand the association between social needs and specific chronic conditions using social needs screening and clinical data from Electronic Health Records. Between April 2018-December 2019, 33,550 adult (≥18y) patients completed a 10-item social needs screener during primary care visits in Bronx and Westchester counties, NY. Generalized linear models were used to estimate prevalence ratios for eight outcomes by number and type of needs with analyses completed in Summer 2020. There was a positive, cumulative association between social needs and each of the outcomes. The relationship was strongest for elevated PHQ-2, depression, alcohol/drug use disorder, and smoking. Those with ≥3 social needs were 3.90 times more likely to have an elevated PHQ-2 than those without needs (95% CI: 3.66, 4.16). Challenges with healthcare transportation was associated with each condition and was the most strongly associated need with half of conditions in the fully-adjusted models. For example, those with transportation needs were 84% more likely to have an alcohol/drug use disorder diagnosis (95% CI: 1.59, 2.13) and 41% more likely to smoke (95% CI: 1.25, 1.58). Specific social needs may influence clinical issues in distinct ways. These findings suggest that health systems need to develop strategies that address unmet social need in order to optimize health outcomes, particularly in communities with a dual burden of poverty and chronic disease.

Pediatric Primary Care-Based Social Needs Services and Health Care Utilization

OBJECTIVE

To evaluate the relationship between use of primary care-based social needs services and subsequent utilization of ambulatory, emergency, and inpatient services.

METHODS

This retrospective 2012 to 2015 cohort study uses electronic medical record data from an academic pediatric primary care practice that screens universally for social needs and delivers services via in-house social work staff. Logistic regression (N = 7300) examines how patient characteristics relate to practice-based social service use. Negative binomial models with inverse probability of treatment weights (N = 4893) estimate adjusted incidence rate ratios for ambulatory, emergency, and inpatient service use among those who used social services compared to those who did not.

RESULTS

Forty-five percent of patients used primary care-based social needs services. This use was significantly greater among those with disabling or complex medical conditions than those without (adjusted odds ratio and 95% confidence interval (CI) of 9.81 [7.39-13.01] and 2.76 [2.44-3.13], respectively); those from low-income versus high-income backgrounds (1.40 [1.21-1.61]); and Blacks and Latinos than Whites (1.33 [1.09-1.62] and 1.29 [1.05-1.59], respectively). Patients who used social services subsequently utilized ambulatory, emergency, and inpatient services at significantly higher rates than those who did not (adjusted incidence rate ratios and 95% CI of 1.54 [1.45-1.63], 1.50 [1.36-1.65], and 3.23 [2.31-4.51], respectively).

CONCLUSIONS

Primary care-based social needs service use was associated with increased utilization of ambulatory services without reductions in emergency or inpatient admissions. This pattern suggests increased health care needs or access and could have payment model-dependent financial implications for practices.

Resource Brokering: Efforts to Assist Patients With Housing, Transportation, and Economic Needs in Primary Care Settings

PURPOSE

Clinicians and policy makers are exploring the role of primary care in improving patients' social conditions, yet little research examines strategies used in clinical settings to assist patients with social needs.

METHODS

Study used semistructured interviews with leaders and frontline staff at 29 diverse health care organizations with active programs used to address patients' social needs. Interviews focused on how organizations develop and implement case management-style programs to assist patients with social needs including staffing, assistance intensity, and use of referrals to community-based organizations (CBOs).

RESULTS

Organizations used case management programs to assist patients with social needs through referrals to CBOs and regular follow-up with patients. About one-half incorporated care for social needs into established case management programs and the remaining described standalone programs developed specifically to address social needs independent of clinical needs. Referrals were the foundation for assistance and included preprinted resource lists, patient-tailored lists, and warm handoffs to the CBOs. While all organizations referred patients to CBOs, some also provided more intense services such as assistance completing patients' applications for services or conducting home visits. Organizations described 4 operational challenges in addressing patients' social needs: (1) effectively engaging CBOs; (2) obtaining buy-in from clinical staff; (3) considering patients' perspectives; and (4) ensuring program sustainability.

CONCLUSION

As the US health care sector faces pressure to improve quality while managing costs, many health care organizations will likely develop or rely on case management approaches to address patients' social conditions. Health care organizations may require support to address the key operational challenges.Visual abstract.

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

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

•

Funding for public health and other social interventions is associated with subsequent improvements in life expectancy.

•

Spending in the social services is more closely tied to future life expectancy at birth in rural counties.

•

In urban counties spending on building infrastructure is associated with more future gains in life expectancy at birth.

A taxonomy of hospitals based on partnerships for population health management

Hospitals face growing pressures and opportunities to engage with partner organizations in efforts to improve population health at the community level. Variation has been observed in the degree to which hospitals develop such partnerships.

Factors Associated with Patients' Connection to Referred Social Needs Resources at a Federally Qualified Health Center

Introduction:

In an effort to improve health outcomes and promote health equity, healthcare systems have increasingly begun to screen patients for unmet social needs and refer them to relevant social services and community-based organizations. This study aimed to identify factors associated with the successful connection (ie, services started) to social needs resources, as well as factors associated with an attempt to connect as a secondary, intermediate outcome.

Methods:

This retrospective cohort study included patients who had been screened, referred, and subsequently reached for follow-up navigation from March 2019 to December 2020, as part of a social needs intervention at a federally qualified health center (FQHC). Measures included demographic and social needs covariates collected during screening, as well as resource-related covariates that characterized the referred resources, including service domain (area of need addressed), service site (integration relative to the FQHC), and access modality (means of accessing services).

Results:

Of the 501 patients in the analytic sample, 32.7% had started services with 1 or more of their referred resources within 4 weeks of the initial referral, and 63.3% had at least attempted to contact 1 referred resource, whether or not they were able to start services. Receiving a referral to resources that patients could access via phone call or drop-in visit, as opposed to resources that required additional appointments or applications prior to accessing services, was associated with increased odds (aOR 1.95, 95% CI 1.05, 3.61) of connection success, after adjusting for age, sex, race, ethnicity, education, number of social needs, and resource-related characteristics. This study did not find statistically significant associations between connection attempt and any variable included in adjusted analyses.

Conclusion:

These findings suggest that referral pathways may influence the success of patients’ connection to social needs resources, highlighting opportunities for more accessible solutions to addressing patients’ unmet social needs.

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.

Implementing Community Resource Referral Technology: Facilitators And Barriers Described By Early Adopters

Health care organizations are increasingly implementing programs to address patients' social conditions. To support these efforts, new technology platforms have emerged to facilitate referrals to community social services organizations. To understand the functionalities of these platforms and identify the lessons learned by their early adopters in health care, we reviewed nine platforms that were on the market in 2018 and interviewed representatives from thirty-five early-adopter health care organizations. We identified key informants through solicited expert recommendations and web searches. With minor variations, all platforms in the sample provided similar core functionalities: screening for social risks, a resource directory, referral management, care coordination, privacy protection, systems integration, and reporting and analytics. Early adopters reported three key implementation challenges: engaging community partners, managing internal change processes, and ensuring compliance with privacy regulations. We conclude that early engagement with social services partners, funding models that support both direct and indirect costs, and stronger evidence of effectiveness together could help advance platform adoption.

Disparities in Preventable Hospitalization Among Patients With Alzheimer Diseases

INTRODUCTION

System-level care coordination strategies can be the most effective to promote continuity of care among people with Alzheimer's disease; however, the evidence is lacking. The objective of this study is to determine whether accountable care organizations are associated with lower rates of potentially preventable hospitalizations for people with Alzheimer's disease and whether hospital accountable care organization affiliation is associated with reduced racial and ethnic disparities in preventable hospitalizations among patients with Alzheimer's disease.

METHODS

This study employed a cross-sectional study design and used 2015 Healthcare Cost and Utilization Project inpatient claims data from 11 states and the 2015 American Hospital Association Annual Survey. Logistic regression and the Blinder-Oaxaca decomposition method were used.

RESULTS

African American patients with Alzheimer's disease were less likely to be hospitalized at accountable care organization‒affiliated hospitals than White patients. Among patients with Alzheimer's disease who were hospitalized, hospital accountable care organization affiliation was associated with lower odds of potentially preventable hospitalizations (OR=0.86, p=0.02; OR=0.66, p<0.001 with propensity score matching) after controlling for patient characteristics, hospital characteristics, and state indicators. Hospital accountable care organization affiliation explained 3.01% (p<0.01) of the disparity in potentially preventable hospitalizations between White and African American patients but could not explain disparities between White and Latinx patients.

CONCLUSIONS

Evidence suggests that accountable care organizations may be able to improve care coordination for people with Alzheimer's disease and to reduce disparities between Whites and African Americans. Further research is needed to determine whether this benefit can be attributed to accountable care organization formation or whether providers that participate in accountable care organizations tend to provide higher-quality care.

The impacts of collaboration between local health care and non-health care organizations and factors shaping how they work: a systematic review of reviews

BACKGROUND

Policymakers in many countries promote collaboration between health care organizations and other sectors as a route to improving population health. Local collaborations have been developed for decades. Yet little is known about the impact of cross-sector collaboration on health and health equity.

METHODS

We carried out a systematic review of reviews to synthesize evidence on the health impacts of collaboration between local health care and non-health care organizations, and to understand the factors affecting how these partnerships functioned. We searched four databases and included 36 studies (reviews) in our review. We extracted data from these studies and used Nvivo 12 to help categorize the data. We assessed risk of bias in the studies using standardized tools. We used a narrative approach to synthesizing and reporting the data.

RESULTS

The 36 studies we reviewed included evidence on varying forms of collaboration in diverse contexts. Some studies included data on collaborations with broad population health goals, such as preventing disease and reducing health inequalities. Others focused on collaborations with a narrower focus, such as better integration between health care and social services. Overall, there is little convincing evidence to suggest that collaboration between local health care and non-health care organizations improves health outcomes. Evidence of impact on health services is mixed. And evidence of impact on resource use and spending are limited and mixed. Despite this, many studies report on factors associated with better or worse collaboration. We grouped these into five domains: motivation and purpose, relationships and cultures, resources and capabilities, governance and leadership, and external factors. But data linking factors in these domains to collaboration outcomes is sparse.

CONCLUSIONS

In theory, collaboration between local health care and non-health care organizations might contribute to better population health. But we know little about which kinds of collaborations work, for whom, and in what contexts. The benefits of collaboration may be hard to deliver, hard to measure, and overestimated by policymakers. Ultimately, local collaborations should be understood within their macro-level political and economic context, and as one component within a wider system of factors and interventions interacting to shape population health.

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.

Opportunities for Interventions That Address Socioeconomic Barriers to Type 2 Diabetes Management: Patient Perspectives

PURPOSE

The purpose of the study was to explore patient perspectives on socioeconomic barriers related to diabetes self-management and interventions to address these barriers.

METHODS

Focus groups (n = 8) were conducted with a diverse sample of adults with type 2 diabetes (T2D; n = 53). Researchers used a semistructured moderator guide; focus groups were audio recorded and transcribed verbatim. Researchers employed the constant comparison method for qualitative content analysis and utilized Atlas.ti (Version 8.1.1) to digitalize the analytic process.

RESULTS

Findings revealed 3 primary themes: (1) Existing food and nutrition resources are insufficient to support healthy eating for diabetes; (2) healthy eating is critical for diabetes management, but socioeconomic circumstances make doing so challenging; and (3) participants supported several broad categories of preferred intervention strategies. First, they endorsed lifestyle intervention informed by socioeconomic status (SES; eg, focusing on food resource management, sensitive health coaching and nutritional counseling). Next, they expressed enthusiasm for group-based learning opportunities, such as cooking classes and support groups with similar SES peers. Finally, they suggested healthy food access resources.

CONCLUSIONS

Participant suggestions should be incorporated into intervention development. Ultimately, these interventional strategies should be tested and refined to help improve health for individuals with type 2 diabetes.

A machine learning approach to identify distinct subgroups of veterans at risk for hospitalization or death using administrative and electronic health record data

Background

Identifying individuals at risk for future hospitalization or death has been a major priority of population health management strategies. High-risk individuals are a heterogeneous group, and existing studies describing heterogeneity in high-risk individuals have been limited by data focused on clinical comorbidities and not socioeconomic or behavioral factors. We used machine learning clustering methods and linked comorbidity-based, sociodemographic, and psychobehavioral data to identify subgroups of high-risk Veterans and study long-term outcomes, hypothesizing that factors other than comorbidities would characterize several subgroups.

Methods and findings

In this cross-sectional study, we used data from the VA Corporate Data Warehouse, a national repository of VA administrative claims and electronic health data. To identify high-risk Veterans, we used the Care Assessment Needs (CAN) score, a routinely-used VA model that predicts a patient’s percentile risk of hospitalization or death at one year. Our study population consisted of 110,000 Veterans who were randomly sampled from 1,920,436 Veterans with a CAN score≥75^th percentile in 2014. We categorized patient-level data into 119 independent variables based on demographics, comorbidities, pharmacy, vital signs, laboratories, and prior utilization. We used a previously validated density-based clustering algorithm to identify 30 subgroups of high-risk Veterans ranging in size from 50 to 2,446 patients. Mean CAN score ranged from 72.4 to 90.3 among subgroups. Two-year mortality ranged from 0.9% to 45.6% and was highest in the home-based care and metastatic cancer subgroups. Mean inpatient days ranged from 1.4 to 30.5 and were highest in the post-surgery and blood loss anemia subgroups. Mean emergency room visits ranged from 1.0 to 4.3 and were highest in the chronic sedative use and polysubstance use with amphetamine predominance subgroups. Five subgroups were distinguished by psychobehavioral factors and four subgroups were distinguished by sociodemographic factors.

Conclusions

High-risk Veterans are a heterogeneous population consisting of multiple distinct subgroups–many of which are not defined by clinical comorbidities–with distinct utilization and outcome patterns. To our knowledge, this represents the largest application of ML clustering methods to subgroup a high-risk population. Further study is needed to determine whether distinct subgroups may benefit from individualized interventions.

Barriers to Prenatal Care Among Food-Insufficient Women: Findings from the Pregnancy Risk Assessment Monitoring System

Background: This study examines the relationship among food insufficiency, adequacy of prenatal care, and barriers to prenatal care. Materials and Methods: Using data from the Pregnancy Risk Assessment Monitoring System (PRAMS), 2009-2016, negative binomial and logistic regression models were used to assess the association among food insufficiency during pregnancy, late onset of prenatal care, the number of prental care visits, as well as barriers to prenatal care. Results: Findings indicate that food insufficiency is associated with not initiating prenatal care during the first trimester and having fewer overall visits. In addition, food insufficiency is associated with more overall barriers to prenatal care, and this association operates through several specific barriers, including not having enough money, lacking transportation to get to the clinic or doctor's office, not being able to get time off work, not having a Medicaid card, having too many other things going on, and having no one to take care of children. Conclusion: Considering the adverse consequences of both food insufficiency and a lack of sufficient prenatal care for maternal and child health, study findings suggest a need to develop targeted interventions that expand access and remove barriers to prenatal care among food-insufficient women.

Addressing Social Determinants of Health Identified by Systematic Screening in a Medicaid Accountable Care Organization: A Qualitative Study

INTRODUCTION/OBJECTIVES

Systematic screening for social determinants of health (SDOH), such as food and housing insecurity, is increasingly implemented in primary care, particularly in the context of Accountable Care Organizations (ACO). Despite the importance of developing effective systems for SDOH resource linkage, there is limited research examining these processes. The objective of the study was to explore facilitators and barriers to addressing SDOH identified by systematic screening in a healthcare system participating in a Medicaid ACO.

METHODS

This qualitative case study took place between January and March 2020. Semi-structured interviews were conducted with fifteen staff (8 community resource staff and 7 managers) from community health centers and hospitals affiliated with a large healthcare system. Interviews were transcribed, coded, and analyzed using the Framework Method.

RESULTS

Facilitators for addressing SDOH included maintaining updated resource lists, collaborating with community organizations, having leadership buy-in, and developing a trusting relationship with patients. Barriers to addressing SDOH included high caseloads, time constraints, inefficiencies in tracking, lack of community resources, and several specific patient characteristics. Further, resource staff expressed distress associated with having to communicate to patients that they were unable to address certain needs.

CONCLUSIONS

Health system, community, and individual-level facilitators and barriers should be considered when developing programs for addressing SDOH. Specifically, the psychological burden on resource staff is an important and underappreciated factor that could impact patient care and lead to staff burnout.

Getting Unstuck: Challenges and Opportunities in Caring for Patients Experiencing Prolonged Hospitalization While Stable for Discharge

Many physicians care for patients who remain in the hospital for prolonged periods despite being "medically ready" or stable for discharge. However, this phenomenon is not well-defined, and optimal strategies to address the problem are not known. A prolonged hospitalization past the point of medical necessity can harm patients, frustrate care teams, and is costly for the health care system. In this perspective, we describe opportunities to improve value of care for these patients through the lens of the Quadruple Aim, a common framework used to guide health care transformation efforts. We then offer recommendations, including some employed by our hospitals, for clinicians, researchers, and health care systems to improve the care for patients who are "stuck" in the hospital.