Impact of Social Needs Navigation on Utilization Among High Utilizers in a Large Integrated Health System: a Quasi-experimental Study

A family-centered approach to social needs awareness in the pediatric emergency department

Objective

We aimed to understand family preferences around reporting and receiving health-related social needs (HRSN) information by assessment modality during pediatric emergency department (PED) visits.

Methods

Families were randomized into paper (control), cell phone, or tablet modality groups by their child's exam room. Nurses alerted families to complete a single HRSN assessment during routine workflow. We used logistic regression and McNemar's test to assess discordance in modality preference.

Results

Forty-seven percent of families disclosed at least one HRSN across a total 611 assessments. Disclosure of HRSN was similar by modality. Twenty-three percent of those assigned tablet preferred cell phone (p < 0.001). Two-thirds of families preferred receiving digitally formatted community resources (email or text). There was no difference in preferred timing of HRSN assessment completion.

Conclusions

Assessment modality did not appear to influence family HRSN disclosure. Families were generally satisfied with all HRSN assessment modalities but demonstrated a particular preference in using personal cell phones over tablets. Digitally formatted community referrals also pose numerous advantages over conventional paper handouts.

Innovation

Use of personal cell phones is a novel, streamlined method of HRSN interventions in the clinical setting, performing similar to more conventional modalities, with a preference among families when compared to tablets.

Unpacking patient perspectives on social needs screening: A mixed methods study in western Colorado primary care practices

OBJECTIVE

Explore factors influencing patient comfort with and perceived helpfulness of screening for health-related social needs.

METHODS

In a parallel secondary mixed-methods analysis of data from three primary care clinics, we used logistic regression to examine effects of practice- and patient-level factors on comfort with and perceived helpfulness of social needs screening. We applied narrative analysis to 20 patient interviews to further understand how patients' lived experiences influenced their perceptions of screening.

RESULTS

Among 511 patients, receiving an explanation about screening was associated with increased odds of comfort (OR 2.1, 95% CI [1.1-4.30]) and perceived helpfulness (OR 4.7 [2.8-7.8]). Those experiencing more needs were less likely to report comfort (3 + needs vs. 0: OR 0.2 [0.1-0.5]). Narratives elucidated how a history of stigmatizing experiences increased discomfort disclosing needs and captured how relationship quality with healthcare teams influenced perceptions of screening for patients with extensive needs.

CONCLUSION

Practice-level (screening explanation and therapeutic rapport) and patient-level factors (history and extent of needs) are key influences on comfort with and perceived helpfulness of screening.

PRACTICE IMPLICATIONS

Good communication about screening benefits all patients. Patients with extensive social needs may require additional sensitivity to their past experiences.

Non-emergency department (ED) interventions to reduce ED utilization: a scoping review

BACKGROUND

Emergency department (ED) crowding is a global burden. Interventions to reduce ED utilization have been widely discussed in the literature, but previous reviews have mainly focused on specific interventions or patient groups within the EDs. The purpose of this scoping review was to identify, summarize, and categorize the various types of non-ED-based interventions designed to reduce unnecessary visits to EDs.

METHODS

This scoping review followed the JBI Manual for Evidence Synthesis and the PRISMA-SCR checklist. A comprehensive structured literature search was performed in the databases MEDLINE and Embase from 2008 to March 2024. The inclusion criteria covered studies reporting on interventions outside the ED that aimed to reduce ED visits. Two reviewers independently screened the records and categorized the included articles by intervention type, location, and population.

RESULTS

Among the 15,324 screened records, we included 210 studies, comprising 183 intervention studies and 27 systematic reviews. In the primary studies, care coordination/case management or other care programs were the most commonly examined out of 15 different intervention categories. The majority of interventions took place in clinics or medical centers, in patients' homes, followed by hospitals and primary care settings - and targeted patients with specific medical conditions.

CONCLUSION

A large number of studies have been published investigating interventions to mitigate the influx of patients to EDs. Many of these targeted patients with specific medical conditions, frequent users and high-risk patients. Further research is needed to address other high prevalent groups in the ED - including older adults and mental health patients (who are ill but may not need the ED). There is also room for further research on new interventions to reduce ED utilization in low-acuity patients and in the general patient population.

Abuse, neglect and neurodevelopment across the life course: what can paediatricians and child psychiatrists do about this together? The Illingworth-Rees keynote lecture 2023

Paediatricians and child psychiatrists share complex cases, often associated with abuse, neglect and other 'Adverse Childhood Experiences (ACEs)'. ACEs are associated in a dose-response relationship with both mental and physical health problems across the life span. We found that 9-year-old children who had been abused and neglected were much more likely to also have symptoms of heritable neurodevelopmental conditions (NDCs) such as ADHD, autism and intellectual disabilities. To our surprise, these were not caused by the abuse and neglect. Instead, both the NDCs and the abuse and neglect were being caused by additional genetic factors. We also found that children who have experienced abuse and neglect, and who also have NDCs, are at twice the risk of developing symptoms of severe mental illness in adolescence. This has caused us to develop our 'Double Jeopardy' hypothesis-that experiencing both abuse and neglect and NDCs in childhood might double the risk of a range of physical and mental health problems across the life span.Both paediatricians and child psychiatrists will be faced with children who have complex problems, and they will sometimes need to work together to solve these-whether or not abuse or neglect is in the mix.Dr Corinne Rees's words were prescient: 'The truth that psychological issues and behaviour are integral to all illness indicates the necessity for every doctor to feel competent in considering their relevance'. As paediatricians and child psychiatrists, let's move forward together to overcome the mind-body dichotomy for the benefit of our patients.

Predicting Self-Reported Social Risk in Medically Complex Adults Using Electronic Health Data

BACKGROUND

Social barriers to health care, such as food insecurity, financial distress, and housing instability, may impede effective clinical management for individuals with chronic illness. Systematic strategies are needed to more efficiently identify at-risk individuals who may benefit from proactive outreach by health care systems for screening and referral to available social resources.

OBJECTIVE

To create a predictive model to identify a higher likelihood of food insecurity, financial distress, and/or housing instability among adults with multiple chronic medical conditions.

RESEARCH DESIGN AND SUBJECTS

We developed and validated a predictive model in adults with 2 or more chronic conditions who were receiving care within Kaiser Permanente Northern California (KPNC) between January 2017 and February 2020. The model was developed to predict the likelihood of a "yes" response to any of 3 validated self-reported survey questions related to current concerns about food insecurity, financial distress, and/or housing instability. External model validation was conducted in a separate cohort of adult non-Medicaid KPNC members aged 35-85 who completed a survey administered to a random sample of health plan members between April and June 2021 (n = 2820).

MEASURES

We examined the performance of multiple model iterations by comparing areas under the receiver operating characteristic curves (AUCs). We also assessed algorithmic bias related to race/ethnicity and calculated model performance at defined risk thresholds for screening implementation.

RESULTS

Patients in the primary modeling cohort (n = 11,999) had a mean age of 53.8 (±19.3) years, 64.7% were women, and 63.9% were of non-White race/ethnicity. The final, simplified model with 30 predictors (including utilization, diagnosis, behavior, insurance, neighborhood, and pharmacy-based variables) had an AUC of 0.68. The model remained robust within different race/ethnic strata.

CONCLUSIONS

Our results demonstrated that a predictive model developed using information gleaned from the medical record and from public census tract data can be used to identify patients who may benefit from proactive social needs assessment. Depending on the prevalence of social needs in the target population, different risk output thresholds could be set to optimize positive predictive value for successful outreach. This predictive model-based strategy provides a pathway for prioritizing more intensive social risk outreach and screening efforts to the patients who may be in greatest need.

Revising the Logic Model Behind Health Care's Social Care Investments

Policy Points This article summarizes recent evidence on how increased awareness of patients' social conditions in the health care sector may influence health and health care utilization outcomes. Using this evidence, we propose a more expansive logic model to explain the impacts of social care programs and inform future social care program investments and evaluations.

Quantitative Analysis of Characteristics Associated with Patient-Directed Discharges, Representations, and Readmissions: a Safety-Net Hospital Experience

BACKGROUND

No clinical tools currently exist to stratify patients' risks of patient-directed discharge (PDD).

OBJECTIVE

This study aims to identify trends and factors associated with PDD, representation, and readmission.

DESIGN

This was an IRB-approved, single-centered, retrospective study.

PARTICIPANTS

Patients aged > 18, admitted to medicine service, were included from January 1st through December 31st, 2019. Patients admitted to ICU or surgical services were excluded.

MAIN MEASURES

Demographics, insurance information, medical history, social history, rates of events occurrences, and discharge disposition were obtained.

KEY RESULTS

Of the 16,889 encounters, there were 776 (4.6%) PDDs, 4312 (25.5%) representations, and 2924 (17.3%) readmissions. Of those who completed PDDs, 42.1% represented and 26.4% were readmitted. Male sex, age ≤ 45, insurance type, homelessness, and substance use disorders had higher rates of PDD (OR = 2.0; 4.2; 4.5; 6.2; 5.2; p < 0.0001, respectively). Patients with homelessness, substance use disorders, mental health disorders, or prior history of PDD were more likely to represent (OR = 3.6; 2.0; 2.0; 1.5; p < 0.0001, respectively) and be readmitted (OR = 2.2; 1.6; 1.9; 1.5; p < 0.0001, respectively). Patients aged 30-35 had the highest PDD rate at 16%, but this was not associated with representations or readmissions. Between July and September, the PDD rate peaked at 5.5% and similarly representation and readmission rates followed. The rates of subsequent readmissions after PDDs were nearly two-fold compared to non-PDD patients in later half of the year. 51% of all subsequent readmissions occur within 7 days of PDD, compared to 34% in the non-PDD group (OR = 2.0; p < 0.0001). Patients with primary diagnosis of abscess had 16% PDDs.

CONCLUSIONS

Factors associated with PDD include male, younger age, insurance type, substance use, homelessness, and primary diagnosis of abscess. Factors associated with representation and readmission are homelessness, substance use disorders, mental health disorders, and prior history of PDD. Further research is needed to develop a risk stratification tool to identify at-risk patients.

A Secondary Data Analysis of Technology Access as a Determinant of Health and Impediment in Social Needs Screening and Referral Processes

Introduction

Although health systems increasingly integrate social needs screening and referrals into routine care, the effectiveness of these interventions and for whom they work remains unclear.

Methods

Patients (N=4,608) seen in the emergency department were screened for social needs (e.g., transportation, housing, food) and offered an opportunity to receive outreach from community service specialists.

Results

Among 453 patients with 1 or more social needs who requested assistance, outreach specialists connected with 95 (21.0%). Patients preferred to be contacted through their telephone (n=21, 60.2%), email (n=126, 28.0%), someone else's telephone (n=30, 6.7%), or first by telephone followed by email (n=23, 5.1%). Preferred contact method varied by patient age; endorsement of unmet transportation, housing, and utility needs; receipt of service outreach; and differences in emergency department utilization from the 6 months before the index visit to the 6 months after.

Conclusions

Because limited access to a stable telephone or internet connection may prevent patients from connecting with resource referrals, social needs interventions may not benefit the most underserved populations who are at the highest risk of negative health outcomes. Future research should investigate whether communication preferences are an important indicator of needs and how to adapt social needs screening and referral processes so that they are more accessible to populations who may experience more frequent disruptions in methods utilized for digital communication.

Phone Versus In-Person Navigation of Social Needs and Caregivers' Desire for Resources in the Pediatric Emergency Department

OBJECTIVE

To determine the association between in-person versus telephone-based contact by a resource navigator and caregivers' expressed desire for community-based resources to meet social needs in a pediatric emergency department (PED).

METHODS

This retrospective observational study used data from the PED in a large, metropolitan, academic children's hospital. Families were approached by resource navigators and offered community-based resources either in-person or by phone during waiting periods in the PED exam room. We used descriptive statistics and chi-square analysis to summarize demographics and mode of contact, and simple and multivariable logistic regression to estimate the association between desire for resources and mode of contact.

RESULTS

Contact was attempted among 4902 caregivers, with 2918 (59.5%) caregivers approached in-person, 1913 (39.0%) approached by phone, and 71 (1.5%) with no mode of contact recorded. Resource navigators successfully reached 2738 (93.8%) caregivers approached in-person and 1432 (74.9%) caregivers approached by phone. Of caregivers successfully reached, 782 (18.8%) desired resources; 526 (19.2%) in-person, and 256 (17.9%) by phone. Caregivers contacted by phone were no more or less likely to desire resources than caregivers contacted in-person in unadjusted (odds ratio (OR) = 0.92, 95% confidence interval (CI) = 0.78-1.08) and adjusted analyses (OR = 0.92, 95% CI = 0.77-1.09).

CONCLUSIONS

Within a large, urban PED, caregivers' expressed desire for community-based resources was no different whether a caregiver was engaged in-person or by phone. This suggests caregivers may be equally receptive to discussing social needs and community-based resources remotely versus in-person. More work is needed to examine if rates of resource connection differ by mode of contact.

Caregiver Perceptions of Social Risk Screening in Pediatric Liver Transplantation: From the Multicenter SOCIAL-Tx Study

BACKGROUND

The social determinants of health contribute to adverse post-liver transplant outcomes. Identifying unmet social risks may enable transplant teams to improve long-term outcomes for at-risk children. However, providers may feel uncomfortable asking about household-level social risks in the posttransplant period because they might make their patients/families uncomfortable.

METHODS

We conducted a mixed-methods analysis of caregiver participants (ie, parents/guardians of pediatric liver transplant recipients) in the Social and Contextual Impact on Children Undergoing Liver Transplantation study to assess their perceptions of provider-based social risk screening. Participants (N = 109) completed a 20-min social determinants of health questionnaire that included questions on the acceptability of being asked intimate social risk questions. A subset of participants (N = 37) engaged in an in-depth qualitative interview to share their perceptions of social risk screening.

RESULTS

Of 109 participants across 9 US transplant centers, 60% reported financial strain and 30% reported at least 1 material economic hardship (eg, food insecurity, housing instability). Overall, 65% of respondents reported it very or somewhat appropriate and 25% reported being neutral to being screened for social risks in a liver transplant setting. In qualitative analyses, participants reported trust in the providers and a clear understanding of the intention of the screening as prerequisites for liver transplant teams to perform social risk screening.

CONCLUSIONS

Only a small minority of caregivers found social risk screening unacceptable. Pediatric liver transplant programs should implement routine social risk screening and prioritize the patient and family voices when establishing a screening program to ensure successful implementation.

A Randomized Controlled Trial to Improve Unmet Social Needs and Clinical Outcomes Among Adults with Diabetes

BACKGROUND

Adults with type 1 or type 2 diabetes often face financial challenges and other unmet social needs to effective diabetes self-management.

OBJECTIVE

Whether a digital intervention focused on addressing socioeconomic determinants of health improves diabetes clinical outcomes more than usual care.

DESIGN

Randomized trial from 2019 to 2023.

PARTICIPANTS

A total of 600 adults with diabetes, HbA1c ≥ 7.5%, and self-reported unmet social needs or financial burden from a health system and randomized to the intervention or standard care.

INTERVENTION

CareAvenue is an automated, e-health intervention with eight videos that address unmet social needs contributing to poor outcomes.

MEASURES

Primary outcome was HbA1c, measured at baseline, and 6 and 12 months after randomization. Secondary outcomes included systolic blood pressure and reported met social needs, cost-related non-adherence (CRN), and financial burden. We examined main effects and variation in effects across predefined subgroups.

RESULTS

Seventy-eight percent of CareAvenue participants completed one or more modules of the website. At 12-month follow-up, there were no significant differences in HbA1c changes between CareAvenue and control group (p = 0.24). There were also no significant between-group differences in systolic blood pressure (p = 0.29), met social needs (p = 0.25), CRN (p = 0.18), and perceived financial burden (p = 0.31). In subgroup analyses, participants with household incomes 100-400% FPL (1.93 (SE = 0.76), p < 0.01), 201-400% FPL (1.30 (SE = 0.62), p < 0.04), and > 400% FPL (1.27 (SE = 0.64), p < 0.05) had significantly less A1c decreases compared to the control group.

CONCLUSIONS

On average, CareAvenue participants did not achieve better A1c lowering, met needs, CRN, or perceived financial burden compared to control participants. CareAvenue participants with higher incomes achieved significantly less A1c reductions than control. Further research is needed on social needs interventions that consider tailored approaches to population subgroups.

CLINICAL TRIALS REGISTRY

ClinicalTrials.gov ID NCT03950973, May 2019.

Food Pantry Referral and Utilization in a Pediatric Primary Care Clinic

INTRODUCTION

This study aimed to characterize progression from screening for food insecurity risk to on-site food pantry referral to food pantry utilization in pediatric primary care.

METHODS

This retrospective study included 14,280 patients aged 0-21 years with ≥1 pediatric primary care visit from March 2018 to February 2020. Analyses were conducted in 2020-2022 using multivariable regression to examine patient-level demographic, clinical, and socioeconomic characteristics and systems-related factors associated with progression from screening positive for food insecurity risk to food pantry referral to completing ≥1 food pantry visit.

RESULTS

Of patients screened for food insecurity risk, 31.9% screened positive; 18.5% of food-insecure patients received an on-site food pantry referral. Among patients referred, 28.9% visited the food pantry. In multivariable models, higher odds of referral were found for patients living near the clinic (AOR=1.28; 95% CI=1.03, 1.59), for each additional health-related social need reported (AOR=1.23; 95% CI=1.16, 1.29), and when the index clinic encounter occurred during food pantry open hours (AOR=1.62; 95% CI=1.30, 2.02). Higher odds of food pantry visitation were found for patients with a preferred language of Haitian Creole (AOR=2.16; 95% CI=1.37, 3.39), for patients of Hispanic race/ethnicity (AOR=3.67; 95% CI=1.14, 11.78), when the index encounter occurred during food pantry open hours (AOR=1.96; 95% CI=1.25, 3.07), for patients with a clinician letter referral (AOR=6.74; 95% CI=3.94, 11.54), or for patients with a referral due to a screening-identified food emergency (AOR=2.27; 95% CI=1.30, 3.96).

CONCLUSIONS

There was substantial attrition along the pathway from screening positive for food insecurity risk to food pantry referral and utilization as well as patient-level characteristics and systems-related factors associated with successful referrals and utilization.

Public health and social entrepreneurs as activators of equitable health ecosystems

OBJECTIVES

To describe approaches that public health and social entrepreneurs take to address health equity, and identify strategies for equitable collaborations with these entrepreneurs.

METHODS

We leveraged data from semi-structured interviews, conducted August to October 2022, with 20 public health and social entrepreneurs who focus on drivers of health and health equity. Two researchers employed content analysis, guided by a prior framework.

RESULTS

To support health equity, public health and social entrepreneurs: center equity, critique biases, innovate for inclusion, engage translational expertise, catalyze capacity, and activate equitable systems. Equitable collaborations are supported by re-examining roles, de-conflicting organizational barriers, prioritizing representation, mitigating bias in generating evidence, and employing equitable capital.

CONCLUSIONS

Public health and social entrepreneurs can uplift equity across health service design and delivery. More equitable collaborations can advance this work.

Social Navigation for Adolescent Emergency Department Patients: A Randomized Clinical Trial

PURPOSE

Adolescent emergency department (ED) patients have unmet social needs that contribute to ED use. This study aimed to evaluate the effect of social needs navigation for adolescents on subsequent ED visits and community resource use and to identify characteristics associated with elevated social risk.

METHODS

Between July 2017 and August 2019, we used a random date generator to establish intervention and control group enrollment dates. All adolescents completed a social needs survey. Adolescents enrolled on intervention dates received in-person, risk-tailored social needs navigation. Those enrolled on control dates received a preprinted resource guide. We used chart review and follow-up calls to assess 12-month ED revisits and community resource use. Logistic regression was used to compare these outcomes between groups. We measured the association between ≥3 reported unmet needs and characteristics hypothesized a priori to be associated with elevated social risk (nonurgent visits, obesity, or any of nine "socially sensitive" chief complaints) using logistic regression.

RESULTS

A total of 399 adolescents were randomized. There was no difference between groups in the number of ED revisits. There was increased community resource use in the intervention group (adjusted odds ratio [aOR]: 3.5 [95% confidence interval {CI}: 1.5, 8.2]). Adolescents with a socially sensitive chief complaint had increased odds of ≥3 unmet needs (aOR: 2.2 [95% CI: 1.3, 3.6]), as did those with food insecurity in a post hoc analysis (aOR: 9.9 [95% CI: 4.0, 24.6]).

DISCUSSION

Social needs navigation increased community resource use but not subsequent ED visits. Adolescents with socially sensitive chief complaints or food insecurity reported increased unmet needs.

Homelessness And Health: Factors, Evidence, Innovations That Work, And Policy Recommendations

On a single night in 2023, more than 653,000 people experienced homelessness in the United States. In this overview, we highlight structural and individual risk factors that can lead to homelessness, explore evidence on the relationship between homelessness and health, discuss programmatic and policy innovations, and provide policy recommendations. Health system efforts to address homelessness and improve the health of homeless populations have included interventions such as screening for social needs and medical respite programs. Initiatives using the Housing First approach to permanent supportive housing have a strong track record of success. Health care financing innovations using Medicaid Section 1115 waivers offer promising new approaches to improving health and housing for people experiencing homelessness. To substantially reduce homelessness and its many adverse health impacts, changes are needed to increase the supply of affordable housing for households with very low incomes. Health care providers and systems should leverage their political power to advocate for policies that scale durable, evidence-based solutions to reduce homelessness, including increased funding to expand housing choice vouchers and greater investment in the creation and preservation of affordable housing.

A descriptive study of screening and navigation on health-related social needs in a safety-net hospital emergency department

BACKGROUND

Health-related social needs (HRSN) have been associated with worse clinical outcomes, increased Emergency Department (ED) utilization and higher healthcare costs. The ED is uniquely positioned to bring HRSN screening to the bedside and develop effective interventions. We evaluated whether navigation services for high-risk patients led to the resolution of HRSN.

METHODS

Navigators screened a convenience sample of patients for HRSN with the Accountable Health Communities Screening Tool from October 2019 to January 2022. Patients with HRSN were considered high-risk if they had at least two ED visits in the previous 12 months. Patients who were high-risk were eligible for navigation including community referrals and one-on-one close follow-up. The HRSN status (resolved, in-progress, unable to resolve) was queried from the Centers for Medicare and Medicaid database. The state hospital association provided data on ED visits and inpatient hospitalizations within 6 months of the screening visit.

RESULTS

Of 185,470 ED visits, HRSN screening occurred in 4050 (2%). HRSN were self-reported in 48% (1944) of patient visits, with 71% of these (1379) considered high-risk. 15% of high-risk patients with HRSN opted out of navigation. Food insecurity was the most identified HRSN (35%) followed by housing instability (26%), transportation needs (24%) and utility assistance (15%). Food insecurity was the most resolved HRSN (39%, in-progress 32%) followed by utility assistance (37%, in-progress 26%), transportation needs (35%, in-progress 35%) and housing instability (28%, in-progress 36%). High-risk visits in which the patient or guardian accepted navigation were less likely to be associated with an ED visit within 6 months of the screening visit (51%) compared to high-risk patients in which the patient or guardian opted out of navigation (61%, p < 0.001), but there was no difference in inpatient hospitalizations (p = 0.427).

CONCLUSIONS

During the study period, one-third of HRSN were successfully resolved with another one-third in-progress. Navigation in high-risk patients was associated with fewer subsequent ED visits.

Caring for high-need patients

OBJECTIVE

We aimed to explore the construct of "high need" and identify common need domains among high-need patients, their care professionals, and healthcare organizations; and to describe the interventions that health care systems use to address these needs, including exploring the potential unintended consequences of interventions.

METHODS

We conducted a modified Delphi panel informed by an environmental scan. Expert stakeholders included patients, interdisciplinary healthcare practitioners (physicians, social workers, peer navigators), implementation scientists, and policy makers. The environmental scan used a rapid literature review and semi-structured interviews with key informants who provide healthcare for high-need patients. We convened a day-long virtual panel meeting, preceded and followed by online surveys to establish consensus.

RESULTS

The environmental scan identified 46 systematic reviews on high-need patients, 19 empirical studies documenting needs, 14 intervention taxonomies, and 9 studies providing construct validity for the concept "high need." Panelists explored the construct and terminology and established that individual patients' needs are unique, but areas of commonality exist across all high-need patients. Panelists agreed on 11 domains describing patient (e.g., social circumstances), 5 care professional (e.g., communication), and 8 organizational (e.g., staffing arrangements) needs. Panelists developed a taxonomy of interventions with 15 categories (e.g., care navigation, care coordination, identification and monitoring) directed at patients, care professionals, or the organization. The project identified potentially unintended consequences of interventions for high-need patients, including high costs incurred for patients, increased time and effort for care professionals, and identification of needs without resources to respond appropriately.

CONCLUSIONS

Care for high-need patients requires a thoughtful approach; differentiating need domains provides multiple entry points for interventions directed at patients, care professionals, and organizations. Implementation efforts should consider outlined intended and unintended downstream effects on patients, care professionals, and organizations.

Relationship between using cancer resource center services and patient outcomes

PURPOSE

Psychological and social support are crucial in treating cancer. Cancer resource centers provide patients with cancer and their families with services that can help them through cancer treatment, ensure that patients receive adequate treatment, and reduce cancer-related stress. These centers offer various services, including medical guidance, health education, emotional assistance (e.g., consultations for cancer care), and access to resources such as financial aid and post recovery programs. In this study, we comprehensively analyzed how cancer resource centers assist patients with cancer and improve their clinical outcomes.

METHODS

The study participants comprised patients initially diagnosed with head and neck cancer or esophageal cancer. A total of 2442 patients from a medical center in Taiwan were included in the study. Data were analyzed through logistic regression and Cox proportional hazards regression.

RESULTS

The results indicate that unemployment, blue-collar work, and a lower education level were associated with higher utilization of cancer resource center services. The patients who were unemployed or engaged in blue-collar work had higher risks of mortality than did their white-collar counterparts. Patient education programs can significantly improve the survival probability of patients with cancer. On the basis of our evaluation of the utilization and benefits of services provided by cancer resource centers, we offer recommendations for improving the functioning of support systems for patients with cancer and provide suggestions for relevant future research.

CONCLUSIONS

We conclude that cancer resource centers provide substantial support for patients of low socioeconomic status and improve patients' survival.

A Qualitative Study of Perceptions and Preferences Regarding Social and Behavioral Risk Screening Among Primary Care Patients

BACKGROUND

Despite its relevance for healthcare settings, social and behavioral risk screening is not systematically performed by clinicians or healthcare systems.

OBJECTIVE

To address clinician concerns, such as social and behavioral risk screening disrupting the clinician-patient relationship and lack of resources to respond, we interviewed primary care patients at an academic medical center regarding their perceptions and preferences on social and behavioral risk screening.

PARTICIPANTS

Between September and December 2020, we recruited a convenience sample of 14 English-speaking primary care patients 18 years + from three clinics affiliated with an academic medical center.

APPROACH

Using a semi-structured interview guide, we asked about the importance of social and behavioral risk screening, whether or not and how to share social and behavioral risk factors, and how social and behavioral risk factors are addressed. We used a multi-step analytic process to identify the range and commonality of participants' responses thematically.

KEY RESULTS

Participants recognized that social and behavioral risk factor domains were relevant to primary care and important for treating the patient as a whole person. Participants preferred a conversation regarding social and behavioral risk factor with their primary care providers (PCPs), and suggested that, if surveys are used, they be followed with an open-ended, in-person discussion. Participants also suggested framing the discussion as something that is done routinely with all patients so that patients do not feel judged. Participants felt comfortable sharing social and behavioral risk factors when they trusted their PCPs, and felt that discussing social and behavioral risk factors with their PCPs built trust. Participants recognized that resources exist outside of the clinic, and suggested that PCPs distribute lists of relevant community resources to patients.

CONCLUSION

In our study of primary care patients on perceptions and preferences about screening and addressing social and behavioral risk factors, we found that patients were willing to share social and behavioral risk factors with their PCP, preferred an in-person discussions with or without a survey, and wanted a list of community resources to address their needs.

Implementing a Social Needs Screening and Referral Program Among Veterans: Assessing Circumstances & Offering Resources for Needs (ACORN)

BACKGROUND

The Department of Veterans Affairs (VA) healthcare system routinely screens Veterans for food insecurity, housing instability, and intimate partner violence, but does not systematically screen for other health-related social needs (HRSNs).

OBJECTIVES

To (1) develop a process for systematically identifying and addressing Veterans' HRSNs, (2) determine reported prevalence of HRSNs, and (3) assess the acceptability of HRSN screening among Veterans.

DESIGN

"Assessing Circumstances and Offering Resources for Needs" (ACORN) is a Veteran-tailored HRSN screening and referral quality improvement initiative. Veterans were screened via electronic tablet for nine HRSNs (food, housing, utilities, transportation, legal needs, social isolation, interpersonal violence, employment, and education) and provided geographically tailored resource guides for identified needs. Two-week follow-up interviews with a purposive sample of Veterans explored screening experiences.

PARTICIPANTS

Convenience sample of Veterans presenting for primary care at a VA urban women's health clinic and suburban community-based outpatient clinic (October 2019-May 2020).

MAIN MEASURES

Primary outcomes included prevalence of HRSNs, Veteran-reported acceptability of screening, and use of resources guides. Data were analyzed using descriptive statistics, chi-square tests, and rapid qualitative analysis.

KEY RESULTS

Of 268 Veterans screened, 50% reported one or more HRSNs. Social isolation was endorsed most frequently (29%), followed by educational needs (19%), interpersonal violence (12%), housing instability (9%), and utility concerns (7%). One in five Veterans reported at least one form of material hardship. In follow-up interviews (n = 15), Veterans found screening acceptable and felt VA should continue screening. No Veterans interviewed had contacted recommended resources at two-week follow-up, although several planned to use resource guides in the future.

CONCLUSION

In a VA HRSN screening and referral program, Veterans frequently reported HRSNs, felt screening was important, and thought VA should continue to screen for these needs. Screening for HRSNs is a critical step towards connecting patients with services, identifying gaps in service delivery, and informing future resource allocation.

Patient and social factors related to nebulizer use in COPD patients at the transition of care: a qualitative study

BACKGROUND

Transition from hospital to home is a vulnerable period for patients with COPD exacerbations, with a high risk for readmission and mortality. Twenty percent of patients with an initial hospitalization for a COPD exacerbation are readmitted to a hospital within 30 days, costing the health care system over $15 billion annually. While nebulizer therapy directed at some high-risk COPD patients may improve the transition from hospital to home, patient and social factors are likely to contribute to difficulties with their use. Current literature describing the COPD patient's experience with utilizing nebulizer therapy, particularly during care transitions, is limited. Therefore, the objective of this study was to explore underlying COPD patient and social factors contributing to practical difficulties with nebulizer use at the care transition from hospital to home.

METHODS

This was a qualitative study conducted between September 2020 and June 2022. Patients were included if they were ≥ 40 years old, had a current diagnosis of COPD, had an inpatient admission at a hospital, and were discharged directly to home with nebulizer therapy. Semi-structured, one-on-one interviews with patients were conducted covering a broad range of patient and social factors and their relationships with nebulizer use and readmission. Interviews were recorded and transcribed verbatim. A thematic analysis was performed using a mixed inductive and deductive approach.

RESULTS

Twenty-one interviews were conducted, and subjects had a mean age of 64 ± 8.4 years, 62% were female, and 76% were White. The predominant interview themes were health care system interactions and medication management. The interviews highlighted that discharge counseling methods and depth of counseling from hospitals were inconsistent and were not always patient-friendly. They also suggested that patients could appropriately identify, set up, and utilize their nebulizer treatment without difficulties, but additional patient education is required for nebulizer clean up and maintenance.

CONCLUSIONS

Our interviews suggest that there is room for improvement within the health care system for providing consistent, effective discharge counseling. Also, COPD patients discharged from a hospital on nebulizer therapy can access and understand their treatment but require additional education for nebulizer clean up and maintenance.

Economic burden, financial stress, and cost-related coping among people with uncontrolled diabetes in the U.S

Granular information on material deprivation including financial and economic well-being among people with diabetes can better inform policy, practice and interventions to support diabetes management. The purpose of this study was to describe in-depth the state of economic burden, financial stress, and coping among people with high A1c. Data came from the 2019-2021 baseline assessment in an ongoing U.S. trial that addresses social determinants of health among people with diabetes and high A1c who report at least one financial burden or cost-related non-adherence (CRN) (n = 600). Mean age of participants was 53 years. Planning behaviors were the most common financial well-being behavior, while savings was least frequently endorsed. Nearly a quarter of participants report spending more than $300 per month out-of-pocket to manage all of their health conditions. Participants reported spending the most out-of-pocket on medications (52%), special foods (40%), doctor's visits (27%), and blood glucose supplies (22%). Along with health insurance, these were also the most cited as sources of financial stress and where assistance. Seventy-two percent reported high levels of financial stress. Maladaptive coping was evident through CRN, and less than half engaged in adaptive coping such as talking to a doctor about cost or using a resource to address their needs. Economic burden, financial stress, and cost-related coping are highly relevant constructs among people with diabetes and high A1cs. More evidence-generation is needed for diabetes self-management programs to address sources of financial stress, facilitate behaviors to enhance financial well-being, and address unmet social needs to alleviate economic burdens.

"Addressing the bigger picture": A qualitative study of internal medicine patients' perspectives on social needs data collection and use

BACKGROUND

There is increasing interest in collecting sociodemographic and social needs data in hospital settings to inform patient care and health equity. However, few studies have examined inpatients' views on this data collection and what should be done to address social needs. This study describes internal medicine inpatients' perspectives on the collection and use of sociodemographic and social needs information.

METHODS

A qualitative interpretive description methodology was used. Semi-structured interviews were conducted with 18 patients admitted to a large academic hospital in Toronto, Canada. Participants were recruited using maximum variation sampling for diverse genders, races, and those with and without social needs. Interviews were coded using a predominantly inductive approach and a thematic analysis was conducted.

RESULTS

Patients expressed that sociodemographic and social needs data collection is important to offer actionable solutions to address their needs. Patients described a gap between their ideal care which would attend to social needs, versus the reality that hospital-based teams are faced with competing priorities and pressures that make it unfeasible to provide such care. They also believed that this data collection could facilitate more holistic, integrated care. Patients conveyed a need to have a trusting and transparent relationship with their provider to alleviate concerns surrounding bias, discrimination, and confidentiality. Lastly, they indicated that sociodemographic and social needs data could be useful to inform care, support research to inspire social change, and assist them with navigating community resources or creating in-hospital programs to address unmet social needs.

CONCLUSIONS

While the collection of sociodemographic and social needs information in hospital settings is generally acceptable, there were varied views on whether hospital staff should intervene, as their priority is medical care. The results can inform the implementation of social data collection and interventions in hospital settings.

Flattening the Playing Field for Treatment of Diabetic Kidney Disease

Diabetic kidney disease (DKD) remains a major health care issue and is beset with significant racial and ethnic disparities in regard to its incidence, progression, and complication rate. An individual's health is influenced strongly by an array of societal-level factors commonly called the social determinants of health. Among these, DKD is influenced highly by structured resources and opportunities, as well as an individual's socioeconomic status, health insurance status, access to care, education, health literacy, nutrition, green space exposure, level of trust in the medical community, and more. Health equity is considered a state in which everyone has a fair and just opportunity to attain his or her highest level of health. Conversely, health inequities are a consequence of a structured discriminatory system of inequitable allocation of social determinants of health. When this discriminatory system is race-based it is referred to as structural racism, which eventually leads to racial and ethnic health disparities. The further downstream sequela of structural racism, consciously or unconsciously, impacts health systems, providers, and patients, and can lead to disparities in DKD development, progression, and complications. In this article, we explore potential interventions at the societal, health system, and provider levels that can help flatten the playing field and reduce racial and ethnic disparities in DKD.

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.

The Social Determinants of Health and Their Impact on Dermatologic Health, Part 2: Taking Action to Address the Social Determinants of Health

The social determinants of health (SDoH) impact health and lead to health disparities in a variety of complex and intersecting ways. They are the nonmedical factors that must be addressed to improve health outcomes and achieve greater health equity. The SDoH contribute to dermatologic health disparities and decreasing these disparities requires multilevel action. Part 2 of this 2-part review offers a framework that dermatologists can use to help address the SDoH both at the point of care and in the health care system at large.

Proceedings from the 2021 SAEM Consensus Conference: Research Priorities for Interventions to Address Social Risks and Needs Identified in Emergency Department Patients

INTRODUCTION

Emergency departments (ED) function as a health and social safety net, regularly taking care of patients with high social risk and need. Few studies have examined ED-based interventions for social risk and need.

METHODS

Focusing on ED-based interventions, we identified initial research gaps and priorities in the ED using a literature review, topic expert feedback, and consensus-building. Research gaps and priorities were further refined based on moderated, scripted discussions and survey feedback during the 2021 SAEM Consensus Conference. Using these methods, we derived six priorities based on three identified gaps in ED-based social risks and needs interventions: 1) assessment of ED-based interventions; 2) intervention implementation in the ED environment; and 3) intercommunication between patients, EDs, and medical and social systems.

RESULTS

Using these methods, we derived six priorities based on three identified gaps in ED-based social risks and needs interventions: 1) assessment of ED-based interventions, 2) intervention implementation in the ED environment, and 3) intercommunication between patients, EDs, and medical and social systems. Assessing intervention effectiveness through patient-centered outcome and risk reduction measures should be high priorities in the future. Also noted was the need to study methods of integrating interventions into the ED environment and to increase collaboration between EDs and their larger health systems, community partners, social services, and local government.

CONCLUSION

The identified research gaps and priorities offer guidance for future work to establish effective interventions and build relationships with community health and social systems to address social risks and needs, thereby improving the health of our patients.

Collection and Use of Social Determinants of Health Data in Inpatient General Internal Medicine Wards: A Scoping Review

BACKGROUND

There is growing interest in incorporating social determinants of health (SDoH) data collection in inpatient hospital settings to inform patient care. However, there is limited information on this data collection and its use in inpatient general internal medicine (GIM). This scoping review sought to describe the current state of the literature on SDoH data collection and its application to patient care in inpatient GIM settings.

METHODS

English-language searches on MedLine, Embase, Web of Science, CINAHL, Cochrane, and PsycINFO were conducted from 2000 to April 2021. Studies reporting systematic data collection or use of at least three SDoH, sociodemographic, or social needs variables in inpatient hospital GIM settings were included. Four independent reviewers screened abstracts, and two reviewers screened full-text articles.

RESULTS

A total of 8190 articles underwent abstract screening and eight were included. A range of SDoH tools were used, such as THRIVE, PRAPARE, WHO-Quality of Life, Measuring Health Equity, and a biopsychosocial framework. The most common SDoH were food security or malnutrition (n=7), followed by housing, transportation, employment, education, income, functional status and disability, and social support (n=5 each). Four of the eight studies applied the data to inform patient care, and three provided community resource referrals.

DISCUSSION

There is limited evidence to guide the collection and use of SDoH data in inpatient GIM settings. This review highlights the need for integrated care, the role of the electronic health record, and social history taking, all of which may benefit from more robust SDoH data collection. Future research should examine the feasibility and acceptability of SDoH integration in inpatient GIM settings.

Understanding social needs in pregnancy: Prospective validation of a digital short-form screening tool and patient survey

BACKGROUND

Social determinants of health significantly affect health outcomes, yet are infrequently addressed in prenatal care.

OBJECTIVE

This study aimed to improve the efficiency and experience of addressing social needs in pregnancy through: (1) testing a digital short-form screening tool; and (2) characterizing pregnant people's preferences for social needs screening and management.

STUDY DESIGN

We developed a digital short-form social determinants of health screening tool from PRAPARE (Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences), and a survey to query patients' preferences for addressing social needs. Instruments were administered online to peripartum participants, with equal representation of patients with public and private insurance. We calculated the sensitivity and specificity of the short-form tool vs PRAPARE. Quantitative responses were characterized using descriptive statistics. Free-text responses were analyzed with matrix and thematic coding. Survey data were analyzed by subgroups of historically marginalized populations.

RESULTS

A total of 215 people completed the survey. Participants were predominantly White (167; 77.7%) and multiparous (145; 67.4%). Unmet social needs were prevalent with both the short-form tool (77.7%) and PRAPARE (96.7%). The sensitivity (79.3%) and specificity (71.4%) of the short-form screener were high for detecting any social need. Most participants believed that it was important for their pregnancy care team to know their social needs (material: 173, 80.5%; support: 200, 93.0%), and over half felt comfortable sharing their needs through in-person or digital modalities if assistance was or was not available (material: 117, 54.4%; support: 122, 56.7%). Free-text themes reflected considerations for integrating social needs in routine prenatal care. Acceptability of addressing social needs in pregnancy was high among all groups.

CONCLUSION

A digital short-form social determinants of health screening tool performs well when compared with the gold standard. Pregnant people accept social needs as a part of routine pregnancy care. Future work is needed to operationalize efficient, effective, patient-centered approaches to addressing social needs in pregnancy.

Social needs of dual-enrolled Medicare-Medicaid patients with medication nonadherence in a telehealth medication therapy management program

BACKGROUND: Telehealth services that identify and address the social needs of patients can improve access to health care and social services. The social needs of medication therapy management (MTM)-eligible Medicare-Medicaid dual-enrolled patients are unknown. OBJECTIVE: To describe the social needs of Medicare-Medicaid dual-enrolled patients participating in a telephonic MTM program. METHODS: This study evaluated the findings of a social needs survey implemented within a telehealth MTM program. Surveys were offered telephonically to eligible Medicare-Medicaid patients of one insurance plan who were identified with medication nonadherence between July 13, 2020, and December 31, 2020. This study described patients who completed the survey during provision of a comprehensive medication review (CMR). Questions screened for social needs in the following social determinant of health domains: community and social context, economic stability, and neighborhood and physical environment. Descriptive statistics were used to describe results. RESULTS: Among 461 patients who completed CMRs, 358 completed the social needs survey. The most prevalent needs and concerns identified included lacking support to perform daily activities (165 [47%]), lacking companionship (81 [23%]), feeling left out (71 [20%]), feeling isolated (81 [23%]), not having enough money to pay bills (177 [49%]), worrying about running out of food (77 [22%]), or having run out of food within the last 12 months (81 [23%]). In this sample, 54 (15%) patients reported avoiding a provider visit because of transportation barriers. Certain individuals were without a steady place to live or were worried about losing their home (40 [11%]) and 35 (10%) reported struggling to keep a job. CONCLUSIONS: The identification of social needs among patient populations is necessary to reduce barriers to medication adherence and optimize health care utilization. This study described important social needs identified during the provision of a telehealth CMR among MTM-eligible Medicare-Medicaid dual-enrolled patients. DISCLOSURES: Dr Nahata was supported in part by the Avatar Foundation. Dr Silva Almodóvar works as a research pharmacist within a medication management program, which provides medication therapy management services.

Racial Health Equity and Social Needs Interventions: A Review of a Scoping Review

IMPORTANCE

Social needs interventions aim to improve health outcomes and mitigate inequities by addressing health-related social needs, such as lack of transportation or food insecurity. However, it is not clear whether these studies are reducing racial or ethnic inequities.

OBJECTIVE

To understand how studies of interventions addressing social needs among multiracial or multiethnic populations conceptualize and analyze differential intervention outcomes by race or ethnicity.

EVIDENCE REVIEW

Sources included a scoping review of systematic searches of PubMed and the Cochrane Library from January 1, 1995, through November 29, 2021, expert suggestions, and hand searches of key citations. Eligible studies evaluated interventions addressing social needs; reported behavioral, health, or utilization outcomes or harms; and were conducted in multiracial or multiethnic populations. Two reviewers independently assessed titles, abstracts, and full text for inclusion. The team developed a framework to assess whether the study was "conceptually thoughtful" for understanding root causes of racial health inequities (ie, noted that race or ethnicity are markers of exposure to racism) and whether analyses were "analytically informative" for advancing racial health equity research (ie, examined differential intervention impacts by race or ethnicity).

FINDINGS

Of 152 studies conducted in multiracial or multiethnic populations, 44 studies included race or ethnicity in their analyses; of these, only 4 (9%) were conceptually thoughtful. Twenty-one studies (14%) were analytically informative. Seven of 21 analytically informative studies reported differences in outcomes by race or ethnicity, whereas 14 found no differences. Among the 7 that found differential outcomes, 4 found the interventions were associated with improved outcomes for minoritized racial or ethnic populations or reduced inequities between minoritized and White populations. No studies were powered to detect differences.

CONCLUSIONS AND RELEVANCE

In this review of a scoping review, studies of social needs interventions in multiracial or multiethnic populations were rarely conceptually thoughtful for understanding root causes of racial health inequities and infrequently conducted informative analyses on intervention effectiveness by race or ethnicity. Future work should use a theoretically sound conceptualization of how race (as a proxy for racism) affects social drivers of health and use this understanding to ensure social needs interventions benefit minoritized racial and ethnic groups facing social and structural barriers to health.

Conceptualizing the effective mechanisms of a social needs case management program shown to reduce hospital use: a qualitative study

BACKGROUND

Social needs case management programs are a strategy to coordinate social and medical care for high-risk patients. Despite widespread interest in social needs case management, not all interventions have shown effectiveness. A lack of evidence about the mechanisms through which these complex interventions benefit patients inhibits effective translation to new settings. The CommunityConnect social needs case management program in Contra Costa County, California recently demonstrated an ability to reduce inpatient hospital admissions by 11% in a randomized study. We sought to characterize the mechanisms through which the Community Connect social needs case management program was effective in helping patients access needed medical and social services and avoid hospitalization. An in-depth understanding of how this intervention worked can support effective replication elsewhere.

METHODS

Using a case study design, we conducted semi-structured, qualitative interviews with case managers (n = 30) and patients enrolled in social needs case management (n = 31), along with field observations of patient visits (n = 31). Two researchers coded all interview transcripts and observation fieldnotes. Analysis focused on program elements identified by patients and staff as important to effectiveness.

RESULTS

Our analyses uncovered three primary mechanisms through which case management impacted patient access to needed medical and social services: [1] Psychosocial work, defined as interpersonal and emotional support provided through the case manager-patient relationship, [2] System mediation work to navigate systems, coordinate resources, and communicate information and [3] Addressing social needs, or working to directly mitigate the impact of social conditions on patient health.

CONCLUSIONS

These findings highlight that the system mediation tasks which are the focus of many social needs assistance interventions offered by health care systems may be necessary but insufficient. Psychosocial support and direct assistance with social needs, enabled by a relationship-focused program, may also be necessary for effectiveness.

Predictors of Interest in Offered Social Care Assistance Among People with Uncontrolled Diabetes

Despite increasing resources dedicated to identifying and addressing social risks in health care settings, many patients screening positive for social risks either decline assistance or do not follow up with offered resources. This study assessed predictors of engagement with offered social care assistance through guided self-navigation or in-person assistance. Data came from a cross-sectional analysis of 6-month follow-up survey data from an ongoing trial of participants with poorly controlled diabetes and a positive social risk screen randomized to guided online self-navigation or in-person social care assistance. Multivariable logistic regression models estimated participant characteristics associated with engagement with offered assistance. Mean age was 55 years (standard deviation = 12). Of 407 participants, 41% (n = 165) engaged with offered assistance: 76% (n = 137) of those in the guided self-navigation arm and 13% (n = 28) of those in the in-person assistance arm. A sizable proportion of participants endorsed already using assistance for medications (30%), food (26%), and employment (22%). Female gender [OR 1.57, 95% CI (1.03-2.40), P < 0.05] and being out of the workforce [OR 1.71, 95% CI (1.07-2.73), P < 0.05] predicted engagement with social care assistance. Those already using assistance for medications [OR 4.71, 95% CI (1.69-13.15), P < 0.05] and blood glucose supplies [OR 6.25, 95% CI (1.45-26.78) P < 0.05] were also more likely to engage with offered assistance. Fewer than half of individuals engaged with offered social assistance through either guided online self-navigation or in-person assistance; limited demographic and clinical factors predicted uptake. More investments are needed to understand how best to support uptake of offered assistance.

Adverse Childhood Experiences, health insurance status, and health care utilization in middle adulthood

RATIONALE

Adverse childhood experiences (ACEs) negatively impact health over the life-course. Yet, compared to the robust literature on the consequences for ACEs for health, substantially fewer studies assess the implications of exposure to ACEs for health insurance status and health care utilization in adulthood.

OBJECTIVE

To assess the association between accumulating ACEs and (1) an individual's health insurance status, and (2) usual source of care, as well as examine the mediating role of adult socioeconomic status.

METHODS

Data are from the National Longitudinal Study of Adolescent to Adult Health (N = 8,757). Multinomial logistic regression is used to assess the relationship between ACEs and health insurance status and the usual source of care.

RESULTS

Net of control and mediating variables, accumulating exposure to ACEs -particularly four or more ACEs- is associated with a higher likelihood of being uninsured and utilizing the emergency room as the usual source of care. Adult socioeconomic status including educational attainment, household income, employment status, and being uninsured-in the case of usual source of care-substantially mediates these associations.

CONCLUSION

ACEs carry negative repercussions for health insurance and patterns of healthcare utilization that spans into adulthood, and this is largely driven by poor adult socioeconomic status.

Reducing COVID-19 Health Inequities by Identifying Social Needs and Clinical Deterioration of Discharged Emergency Department Patients

INTRODUCTION

The decision to discharge a patient from the hospital with confirmed or suspected coronavirus 2019 (COVID-19) is fraught with challenges. Patients who are discharged home must be both medically stable and able to safely isolate to prevent disease spread. Socioeconomically disadvantaged patient populations in particular may lack resources to safely quarantine and are at high risk for COVID-19 morbidity.

METHODS

We developed a telehealth follow-up program for emergency department (ED) patients who received testing for COVID-19 from April 24-June 29, 2020 and were discharged home. Patients who were discharged with a pending COVID-19 test received follow-up calls on Days 1, 4, and 8. The objective of our program was to screen and provide referrals for health-related social needs (HRSN), conduct clinical screening for worsening symptoms, and deliver risk-reduction strategies for vulnerable individuals. We conducted retrospective chart reviews on all patients in this cohort to collect demographic information, testing results, and outcomes of clinical symptom and HRSN screening. Our primary outcome measurement was the need for clinical reassessment and referral for an unmet HRSN.

RESULTS

From April 24-June 29, 2020, we made calls to 1,468 patients tested for COVID-19 and discharged home. On Day 4, we reached 67.0% of the 1,468 patients called. Of these, 15.9% were referred to a physician's assistant (PA) out of concern for clinical worsening and 12.4% were referred to an emergency department (ED) patient navigator for HRSNs. On Day 8, we reached 81.8% of the 122 patients called. Of these, 19.7% were referred to a PA for clinical reassessment and 14.0% were referred to an ED patient navigator for HRSNs. Our intervention reached 1,069 patients, of whom 12.6% required referral for HRSNs and 1.3% (n = 14) were referred to the ED or Respiratory Illness Clinic due to concern for worsening clinical symptoms.

CONCLUSION

In this patient population, the demand for interventions to address social needs was as high as the need for clinical reassessment. Similar ED-based programs should be considered to help support patients' interdependent social and health needs beyond those related to COVID-19.

Analysis of Emergency Department Encounters Among High Users of Health Care and Social Service Systems Before and During the COVID-19 Pandemic

IMPORTANCE

Although the general US population had fewer emergency department (ED) visits during the COVID-19 pandemic, patterns of use among high users are unknown.

OBJECTIVES

To examine natural trends in ED visits among high users of health and social services during an extended period and assess whether these trends differed during COVID-19.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study combined data from 9 unique cohorts, 1 for each fiscal year (July 1 to June 30) from 2012 to 2021, and used mixed-effects, negative binomial regression to model ED visits over time and assess ED use among the top 5% of high users of multiple systems during COVID-19. Data were obtained from the Coordinated Care Management System, a San Francisco Department of Public Health platform that integrates medical and social information with service use.

EXPOSURES

Fiscal year 2020 was defined as the COVID-19 year.

MAIN OUTCOMES AND MEASURES

Measured variables were age, gender, language, race and ethnicity, homelessness, insurance status, jail health encounters, mental health and substance use diagnoses, and mortality. The main outcome was annual mean ED visit counts. Incidence rate ratios (IRRs) were used to describe changes in ED visit rates both over time and in COVID-19 vs non-COVID-19 years.

RESULTS

Of the 8967 participants, 3289 (36.7%) identified as White, 3005 (33.5%) as Black, and 1513 (16.9%) as Latinx; and 7932 (88.5%) preferred English. The mean (SD) age was 46.7 (14.2) years, 6071 (67.7%) identified as men, and 7042 (78.5%) had experienced homelessness. A statistically significant decrease was found in annual mean ED visits among high users for every year of follow-up until year 8, with the largest decrease occurring in the first year of follow-up (IRR, 0.41; 95% CI, 0.40-0.43). However, during the pandemic, ED visits decreased 25% beyond the mean reduction seen in prepandemic years (IRR, 0.75; 95% CI, 0.72-0.79).

CONCLUSIONS AND RELEVANCE

In this study, multiple cohorts of the top 5% of high users of multiple health care systems in San Francisco had sustained annual decreases in ED visits from 2012 to 2021, with significantly greater decreases during COVID-19. Further research is needed to elucidate pandemic-specific factors associated with these findings and understand how this change in use was associated with health outcomes.

Quality Indicators for High-Need Patients: a Systematic Review

BACKGROUND

Healthcare systems are increasingly implementing programs for high-need patients, who often have multiple chronic conditions and complex social situations. Little, however, is known about quality indicators that might guide healthcare organizations and providers in improving care for high-need patients. We sought to conduct a systematic review to identify potential quality indicators for high-need patients.

METHODS

This systematic review (CRD42020215917) searched PubMed, CINAHL, and EMBASE; guideline clearing houses ECRI and GIN; and Google scholar. We included publications suggesting, evaluating, and utilizing indicators to assess quality of care for high-need patients. Critical appraisal of the indicators addressed the development process, endorsement and adoption, and characteristics, such as feasibility. We standardized indicators by patient population subgroups to facilitate comparisons across different indicator groups.

RESULTS

The search identified 6964 citations. Of these, 1382 publications were obtained as full text, and 53 studies met inclusion criteria. We identified over 1700 quality indicators across studies. Quality indicator characteristics varied widely. The scope of the selected indicators ranged from detailed criterion (e.g., "annual eye exam") to very broad categories (e.g., "care coordination"). Some publications suggested disease condition-specific indicators (e.g., diabetes), some used condition-independent criteria (e.g., "documentation of the medication list in the medical record available to all care agencies"), and some publications used a mixture of indicator types.

DISCUSSION

We identified and evaluated existing quality indicators for a complex, heterogeneous patient group. Although some quality indicators were not disease-specific, we found very few that accounted for social determinants of health and behavioral factors. More research is needed to develop quality indicators that address patient risk factors.

Engagement in a Social Needs Navigation Program and Health Care Utilization in Pediatric Primary Care

OBJECTIVE

Evidence for social needs interventions on resource linkage has grown over the past decade. Though social and economic needs predict health care utilization, few studies have assessed social needs interventions on these outcomes. The objective of this study was to examine the association between enrollment in a clinic-based social needs program on subsequent well-child visit (WCV) attendance and emergency department (ED) use in 2 primary care clinics.

METHODS

A retrospective cohort study was conducted of patients in 2 clinics referred to a social risk screening and navigation program between June and August 2018. We compared health care utilization over the subsequent 12 months for those who completed a full intake and received resource navigation (enrolled) to those referred (not enrolled). Logistic regression was used to assess the association between enrollment with WCV attendance and ED visits.

RESULTS

During the study period, of the 969 patients referred to the program, 761 were enrolled across the 2 clinics. At both sites, the majority of enrolled patients had high WCV attendance postintervention (Site A: 81.6%, Site B: 71.4%). High WCV attendance for nonenrolled but referred patients was significantly lower (Site A: 52.7%, Site B: 35.0%). Enrolled participants were significantly more likely to have high WCV attendance than nonenrolled patients, adjusting for preintervention utilization (Site A adjusted odds ratio [aOR]: 5.83, Site B aOR : 4.20). There were no significant differences in ED use at either clinic.

CONCLUSIONS

Addressing families' social needs through resource linkage and navigation can improve WCV attendance.

IMAGINE: A Trial of Messaging Strategies for Social Needs Screening and Referral

INTRODUCTION

Health-related social needs are associated with poor health outcomes. Many primary care practices now screen and refer patients with health-related social needs to assistance organizations, but some patients decline screening or assistance. Improving communication about health-related social needs screening and referral could increase screening response and assistance acceptance rates.

STUDY DESIGN

This is a pragmatic, nonrandomized 3-stage trial of messages and communication strategies for health-related social needs screening and referral. Messages and strategies were informed by qualitative analysis of stakeholder interviews and were developed through an iterative, patient-, and stakeholder-engaged process.

SETTING/PARTICIPANTS

Settings included 3 primary care clinics serving primarily low-income patients in western Colorado.

INTERVENTION

Stage 1 includes usual clinic processes for health-related social needs screening (form given to patients at the front desk without additional explanation), Stage 2 includes adding written patient-friendly messages regarding the purpose of health-related social needs screening and referral to usual clinic processes, and Stage 3 includes adding verbal messages delivered by a medical assistant (form given to patients by a medical assistant during the rooming process).

MAIN OUTCOME MEASURES

Primary outcomes include (1) screening form response rate and (2) acceptance of referral for assistance rate among patients with health-related social needs. Secondary outcomes include (1) comfort with screening, (2) perceived helpfulness of screening, and (3) receipt of explanation about screening.

RESULTS

All data collection and analysis occurred in 2021. Study Stage 2 was not associated with significant changes in any outcomes. Stage 3 was associated with decreased odds of screening form response at 2 of the 3 clinics relative to those of Stage 1 (OR=0.1, 95% CI=0.1, 0.3; OR=0.4, 95% CI=0.2, 0.7) but with increased odds of assistance acceptance (OR=2.1, 95% CI=1.1, 4.0) among patients with needs who responded to the screening form. Stage 3 was also associated with higher odds of patients perceiving screening as helpful and receiving an explanation about screening.

CONCLUSIONS

Altering practice workflows to provide verbal explanations of health-related social needs screening may reduce response rates but may encourage responders to accept assistance referrals. Optimal communication strategies and workflows will likely differ depending on the intended goals of health-related social needs screening and referral.

Motivators, Barriers, and Preferences to Engagement With Offered Social Care Assistance Among People With Diabetes: A Mixed Methods Study

INTRODUCTION

A substantial proportion of patients screening positive for social risks either decline assistance or do not follow-up with offered resources. This study examined patient interest in and engagement with offered social care assistance among adults with poorly controlled diabetes at an academic medical center.

METHODS

Surveys (n=307) and purposively sampled follow-up interviews (n=40) were conducted 6 months after randomization to receive guided online self-navigation or in-person assistance to address unmet social needs. Integrated mixed methods (data collected in 2019-2021) explored the motivators, barriers, and preferences regarding the uptake of offered assistance. Results were analyzed in 2021 using descriptive statistics, rapid qualitative analysis, and joint display models.

RESULTS

A total of 77% of people randomized to online self-navigation and 14% randomized to in-person assistance engaged with offered assistance. Motivators for engagement were similar across groups and included ease of use, anticipating assistance that could address 1 or more needs, and interest in learning more about available resources. Barriers to engagement included not needing or desiring assistance, participants perceiving that offered assistance was not relevant to their needs or that they would not qualify, competing priorities/forgetting, previous negative experiences or stigma, and technology or access challenges (online self-navigation group). Preferences around offered assistance that directly addressed barriers to uptake included changing messaging and framing around offered help and the ability to tailor modalities.

CONCLUSIONS

There are key barriers to the use of social care assistance that may directly reflect the process by which individuals are screened and offered assistance. Strategies to increase uptake should be patient centered and ideally provide multiple options for type of assistance and mode of engagement.

Effect of Social Needs Case Management on Hospital Use Among Adult Medicaid Beneficiaries : A Randomized Study

BACKGROUND

Case management programs assisting patients with social needs may improve health and avoid unnecessary health care use, but little is known about their effectiveness.

OBJECTIVE

This large-scale study assessed the population-level impact of a case management program designed to address patients' social needs.

DESIGN

Single-site randomized encouragement design with administrative enrollment from an eligible population and intention-to-treat analysis. Study participants were enrolled between August 2017 and December 2018 and followed for 1 year. (ClinicalTrials.gov: NCT04000074).

SETTING

Contra Costa County, an economically and culturally diverse community in the San Francisco Bay Area.

PARTICIPANTS

57 972 randomized enrollments of adult Medicaid patients at elevated risk for health care use (top 15%) to the intervention or control group.

INTERVENTION

Enrollees were offered 12 months of social needs case management, which provided more intensive services to patients with higher demonstrated needs.

MEASUREMENTS

Medical use was measured via emergency department (ED) visits and inpatient admissions, some of which were classified as avoidable.

RESULTS

Participants in the intervention group visited the ED at ratios of 0.96 (95% CI, 0.91 to 1.00) for all visits and 0.97 (CI, 0.92 to 1.03) for avoidable visits relative to the control group. The intervention group was hospitalized at ratios of 0.89 (CI, 0.81 to 0.98) for all admissions and 0.72 (CI, 0.55 to 0.88) for avoidable admissions.

LIMITATIONS

Only 40% of the intervention group engaged with the program. The program was in continual development during the trial period.

CONCLUSION

Although social needs case management programs may reduce health care use, these savings may not cover full program costs. More work is needed to identify ways to increase patient uptake and define characteristics of successful programs.

PRIMARY FUNDING SOURCE

Contra Costa Health Services via the Medicaid waiver program.

Defining case management success: a qualitative study of case manager perspectives from a large-scale health and social needs support program

Objective

Health systems are expanding efforts to address health and social risks, although the heterogeneity of early evidence indicates need for more nuanced exploration of how such programs work and how to holistically assess program success. This qualitative study aims to identify characteristics of success in a large-scale, health and social needs case management program from the perspective of interdisciplinary case managers.

Setting

Case management program for high-risk, complex patients run by an integrated, county-based public health system.

Participants

30 out of 70 case managers, purposively sampled to represent their interdisciplinary health and social work backgrounds. Interviews took place in March–November 2019.

Primary and secondary outcome measures

The analysis intended to identify characteristics of success working with patients.

Results

Case managers described three characteristics of success working with patients: (1) establishing trust; (2) observing change in patients’ mindset or initiative and (3) promoting stability and independence. Cross-cutting these characteristics, case managers emphasised the importance of patients defining their own success, often demonstrated through individualised, incremental progress. Thus, moments of success commonly contrasted with external perceptions and operational or productivity metrics.

Conclusions

Themes emphasise the importance of compassion for complexity in patients’ lives, and success as a step-by-step process that is built over longitudinal relationships.

Low housing quality, unmet social needs, stress and depression among low-income smokers

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Over 60% of low-income smokers reported housing quality problems.

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Problems with housing quality were among the most common social needs.

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Housing quality problems were associated with worse measures of health.

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Poor housing quality may exacerbate health disparities for low-income smokers.

Smokers are at greater risk of multiple health conditions that are exacerbated by environmental hazards associated with low housing quality. However, little is known about the prevalence of low housing quality among low-income smokers. Using correlations and logistic regression, we examined associations among eight housing quality indicators – pests, water leaks, mold, lead paint, and working smoke detectors, appliances, heating, and air conditioning – and between housing quality and social needs, depressive symptoms, perceived stress, sleep problems, and self-rated health in a community-based sample of 786 low-income smokers from 6 states. Most participants were female (68%), and White (45%) or African-American (43%). One in four (27%) completed less than high school education, and 41% reported annual pre-tax household income of less than $10,000. Housing quality problems were common. Most participants (64%) reported at least one problem in their home, and 41% reported two or more problems, most commonly pest infestations (40%), water leaks (22%), lack of air conditioning (22%) and mold (18%). Lack of heat and air conditioning were correlated, as were water leaks and mold. Using logistic regression analyses controlling for participant demographic characteristics, we found that reporting more housing quality problems was associated with greater odds of worse mental and physical health outcomes. Multiple health threats, including housing quality, depressive symptoms, stress, poor sleep, and financial strain may be mutually reinforcing and compound the health consequence of smoking. Future research should seek to replicate these findings in other samples, and examine associations longitudinally to better understand causality.

Effectiveness of Social Needs Screening and Interventions in Clinical Settings on Utilization, Cost, and Clinical Outcomes: A Systematic Review

Objective:

This systematic review examined and synthesized peer-reviewed research studies that reported the process of integrating social determinants of health (SDOH) or social needs screening into electronic health records (EHRs) and the intervention effects in the United States.

Methods:

Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines, a systematic search of Scopus, Web of Science Core Collection, MEDLINE, and Cochrane Central Register of Clinical Trials was performed. English language peer-reviewed studies that reported the process of integrating SDOH or social needs screening into EHRs within the U.S. health systems and published between January 2015 and December 2021 were included. The review focused on process measures, social needs changes, health outcomes, and health care cost and utilization.

Results:

In total, 28 studies were included, and half were randomized controlled trials. The majority of the studies targeted multiple SDOH domains. The interventions vary by the levels of intensity of their approaches and heterogeneities in outcome measures. Most studies (82%, n=23) reported the findings related to the process measures, and nearly half (43%, n=12) reported outcomes related to social needs. By contrast, only 39% (n=11) and 32% (n=9) of the studies reported health outcomes and impact on health care cost and utilization, respectively. Findings on patients' social needs change demonstrated improved access to resources. However, findings were mixed on intervention effects on health and health care cost and utilization. We also identified gaps in implementation challenges to be overcome.

Conclusion:

Our review supports the current policy efforts to increase U.S. health systems' investment toward directly addressing SDOH. While effective interventions can be more complex or resource intensive than an online referral, health care organizations hoping to achieve health equity and improve population health must commit the effort and investment required to achieve this goal.

Factors Associated With Contracting Between Area Agencies on Aging and Health Care Entities

Contracting with health care entities offers an avenue for Area Agencies on Aging (AAAs) to be reimbursed for providing services that improve health and avoid the need for expensive health care among older adults. However, we have little systematic evidence about the organizational characteristics and policy environments that facilitate these contractual relationships. Using survey data on AAAs from 2017-18, we found that contracting with health insurers was significantly more likely if AAAs had strong business capabilities and access to a state CBO contracting network. AAA contracting with health care delivery organizations trended with different factors, becoming more likely if states had implemented more integrated health care delivery programs, and becoming less likely if states had managed long-term services and supports. Contracting could be facilitated by supports for AAA business capabilities, as well as state policies that increase demand for their services among health insurers and health care delivery organizations.

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.