Association of Social Determinants of Health and Their Cumulative Impact on Hospitalization Among a National Sample of Community-Dwelling US Adults

Comparing the influence of social risk factors on machine learning model performance across racial and ethnic groups in home healthcare

This study examined the impact of social risk factors on machine learning model performance for predicting hospitalization and emergency department visits in home healthcare. Using retrospective data from one U.S. home healthcare agency, four models were developed with unstructured social information documented in clinical notes. Performance was compared with and without social factors. A subgroup analyses was conducted by race and ethnicity to assess for fairness. LightGBM performed best overall. Social factors had a modest effect, but findings highlight the feasibility of integrating unstructured social information into machine learning models and the importance of fairness evaluation in home healthcare.

Influence of Neighborhood Disadvantage and Individual Sociodemographic Conditions on Heart Failure Self-care

BACKGROUND

Residence in socioeconomically disadvantaged neighborhoods and individual sociodemographic conditions contribute to worse heart failure (HF) outcomes and may influence HF self-care. However, associations between neighborhood disadvantage, socioeconomic conditions, and HF self-care are unclear.

OBJECTIVE

The purpose of this secondary analysis was to investigate whether neighborhood disadvantage and individual socioeconomic conditions predicted worse HF self-care.

METHODS

This study was a secondary analysis of baseline data from a mixed-method study of 82 adults with HF. Participant zip codes were assigned a degree of neighborhood disadvantage using the Area Deprivation Index. Those in the top 20% most disadvantaged neighborhoods (Area Deprivation Index ≥ 80) were compared with those in the least disadvantaged neighborhoods. The Self-Care of Heart Failure Index was used to measure self-care maintenance and monitoring. Multiple linear regression was conducted.

RESULTS

Of all participants, 59.8% were male, 59.8% were persons of color, and the mean age was 64.87 years. Residing in a disadvantaged neighborhood and living alone predicted worse HF self-care maintenance and monitoring. Having no college education was also a predictor of worse HF self-care maintenance. Although persons of color were more likely to reside in disadvantaged neighborhoods, race was not associated with HF self-care.

CONCLUSION

Residing in a disadvantaged neighborhood and living alone may be important risk factors for worse HF self-care. Differences in self-care cannot be attributed solely to the individual sociodemographic determinants of race, gender, age, annual household income, or marital status. More research is needed to understand the connection between neighborhood disadvantage and HF self-care.

Social Risk and Acute Health Care Utilization Among Insured Adults

Importance

Millions of Americans are impacted by adverse social risk factors such as financial strain, housing instability, and food insecurity. A better understanding of if and how these factors are associated with acute care utilization is needed.

Objective

To examine the association between exposure to social risk factors and emergency department (ED) visits and hospitalizations among a sample of insured adults.

Design, Setting, and Participants

This cohort study used US health data from a national initiative that employed a multistage, stratified sampling framework across 8 regional markets of an integrated health care delivery system. Eligible participants were insured adults who responded to health surveys. Population-based samples were taken proportionate to the sex and age distribution of each market.

Exposures

Validated survey questions captured social risk exposure (positive screening for financial strain, housing instability, and/or food insecurity) during the past year; across 2 survey waves (2020, 2022). Self-reported social risk was categorized into mutually exclusive risk levels, social risk vs no social risk.

Main Outcomes and Measures

Primary outcome was acute health care utilization defined as time to the first event (ED visit, hospitalization) observed following the first survey completion (January 2020 to July 2023). Weighted Cox proportional hazards regression examined the association between social risk and subsequent care utilization, adjusting for demographic and clinical covariates.

Results

The analytic cohort included 9785 survey respondents. The weighted cohort data (mean age, 48.4 years [95% CI, 47.9-48.9 years]) included 54.1% female respondents (95% CI, 52.3%-55.9%); 14.6% of the sample were Asian (95% CI, 13.3%-16.0%), 8.1% Black (95% CI, 7.3%-9.1%), 27.1% Hispanic (95% CI, 25.5%-28.8%), and 43.6% non-Hispanic White (95% CI, 41.2%-44.7%); and 50.3% reported exposure to 1 or more social risk factor. During the follow-up period (median [IQR], 3.48 [3.01-3.50] years), 25.4% (95% CI, 22.9%-28.1%) and 10.3% (95% CI, 8.9%-11.9%) of the cohort experienced an ED visit and hospitalization, respectively. Utilization rates varied by level of social risk exposure. Respondents who reported any social risk had a 21% higher risk of an ED visit compared with those with no social risk exposure (adjusted hazard ratio [HR], 1.21 [95% CI, 1.03-1.41]). Social risk was not associated with hospitalizations (adjusted HR, 1.05 [95% CI, 0.84-1.32]).

Conclusions and Relevance

In this cohort of 9785 adults, the significant association between social risk and time to first ED event warrants future study to determine if improved social risk are associated with lower ED utilization.

Relationship Between Social Risk Factors and Emergency Department Use: National Health Interview Survey 2016-2018

Background

Evidence shows that social risks are highly prevalent in the patient population that presents to the emergency department (ED) for care; however, understanding the relationship between social risk factors and ED utilization at the population level remains unknown.

Methods

We used the National Health Interview Survey from the 2016-2018 sample adult files. The sample included 82,364 individuals, representing a population size of 238,888,238. The primary independent variables included six social risk factors: economic instability; lack of community; educational deficit; food insecurity; social isolation; and inadequate access to care. The outcome included ED use in the prior year. Covariates included age, race/ethnicity, insurance status, obesity, mental health (depression/anxiety), and comorbidities. We ran logistic regression models to test the relationship between the independent and dependent variables adjusting for covariates.

Results

In the study sample, 20% had at least one ED visit in the prior year. In the fully adjusted model, individuals reporting economic instability (odds ratio [OR] 1.33, 95% confidence interval [CI] 1.25-1.42), lack of community (OR 1.10, 95% CI 1.05-1.15), educational deficit (OR 1.12, 95% CI 1.06-1.18), food insecurity (OR 1.77, 95% CI 1.66-1.89), and social isolation (OR 1.32, 95% CI 1.26-1.39) had significantly higher odds of ED use. Inadequate access to care was significantly related to lower odds of ED use (OR 0.75, 95% CI 0.69-0.81).

Conclusions

Social risk factors are significantly associated with higher odds of ED use in the United States adult population. Interventions that integrate social and medical needs are greatly needed, as is understanding the role that preventive medicine may play in reducing avoidable ED visits.

The Association Between Cost-Related Insulin Rationing and Health Care Utilization in U.S. Adults With Diabetes

OBJECTIVE

To examine the association between insulin rationing and health care utilization.

RESEARCH DESIGN AND METHODS

Cross-sectional study of all 2021 National Health Interview Survey respondents with diabetes using insulin. Logistic regression and zero-inflated negative binomial regression models examined associations between insulin rationing (skipping, delaying, or reducing insulin to save money) and 1) emergency department (ED) visit or hospitalization and 2) number of urgent care visits. All analyses were age-stratified and used survey weights.

RESULTS

Among 982 respondents representing 7,593,944 U.S. adults (median age 61 years, 47% women), 17% reported rationing. Among adults 18-64 years old, rationing was not significantly associated with health care utilization. Among adults ≥65 years old, rationing was associated with more urgent care visits (relative risk 2.1, 95% CI 1.2-3.6) but not with odds of ED visit or hospitalization (odds ratio 0.7, 95% CI 0.3-1.4).

CONCLUSIONS

Insulin rationing was not associated with higher health care utilization, but concurrent rationing of health care may mask a relationship.

A scoping review of social determinants of health's impact on substance use disorders over the life course

BACKGROUND

Substance use is a public crisis in the U.S. Substance use can be understood as a series of events in the life course, from initiation to mortality. Social Determinants of Health (SDoH) have increasingly been recognized as essential contributors to individuals' health. This scoping review aims to examine available evidence of SDoH impact on the life course of substance use disorder (SUD).

METHODS

This study identified peer-reviewed articles that reported longitudinal studies with SDoH factors as independent variables and substance use and disorders as dependent variables from PubMed, Embase, and Web of Science. The reported associations between SDoH and substance use stages over the life course were narratively and graphically summarized.

RESULTS

Among the 50 studies identified, ten revealed parental monitoring/support and early childhood education as protective factors, while negative peer influences and neighborhood instability were risk factors of substance use initiation. Nineteen articles reported factors associated with escalation in substance use, including unemployment, neighborhood vulnerability, negative peer influence, violence/trauma, and criminal justice system (CJS) involvement. Ten articles suggested that employment, social support, urban living, and low-barrier medication treatment facilitated treatment participation, while stigma and CJS involvement had negative impact on treatment trajectory. Social support and employment could foster progress in recovery and CJS involvement and unstable housing deterred recovery. Four studies suggested that unemployment, unstable housing, CJS involvement, and lack of social support were associated with overdose and mortality.

CONCLUSIONS

This review underscores the influence of social networks and early life experiences on the life course of SUD. Future SDoH research should investigate overdose and mortality and the impact of broader upstream SDoH on SUD. Interventions addressing these social factors are needed to mitigate their detrimental effects on the trajectories of SUD over the life course.

Provision of Home & Community Based Services to Veterans by Race, Rurality, and Neighborhood Deprivation Index

Home and community-based services (HCBS) enable frail patients to remain at home. We examined whether there were neighborhood-deprivation, racial, or rural disparities in HCBS utilization provided to Veterans by the Department of Veterans Affairs (VA) or Medicare by comparing the adjusted utilization rate of a historically disadvantaged group with the predicted utilization rate had it been treated as the historically dominant group. Among the 2.7 million VA patients over 66 years old in 2019, 11.0% were Black, 39.2% lived in rural settings, 15.3%/29.2%/30.9%/24.7% lived in least/mild/moderate/most-deprived neighborhoods. On average, 11.2% received VA or Medicare HCBS. Veterans residing in more deprived neighborhoods had 0.11-0.95% higher adjusted probability of receiving HCBS than expected had they resided in the least deprived neighborhoods. Veterans residing in rural areas had 0-0.7% lower HCBS rates than expected had they been treated like urban Veterans. Black Veterans were 0.8-1.2% more likely to receive HCBS than expected had they been treated like White Veterans. Findings indicate that VA resources were equitably employed, aligning with probable HCBS needs, suggesting that VA's substantial and long-standing investment in HCBS for care of frail Veterans could serve as a model for other payers and providers in the U.S.

Social Risk Factor Domains and Preventive Care Services in US Adults

Importance

Growing evidence suggests that social determinants of health are associated with low uptake of preventive care services.

Objective

To examine the independent associations of social risk factor domains with preventive care services among US adults.

Design, Setting, and Participants

This cross-sectional study used National Health Interview Survey data on 82 432 unweighted individuals (239 055 950 weighted) from 2016 to 2018. Subpopulations were created for each of the primary outcomes: routine mammography (women aged 40-74 years), Papanicolaou test (women aged 21-65 years), colonoscopy (adults aged 45-75 years), influenza vaccine (adults aged ≥18 years), and pneumococcal vaccine (adults aged ≥65 years). Statistical analysis was performed from July to December 2023.

Exposures

Six social risk domains (economic instability, lack of community, education deficit, food insecurity, social isolation, and lack of access to care) and a count of domains.

Main Outcomes and Measures

Logistic regression models were used to examine the independent association between each primary outcome (mammography, Papanicolaou test, colonoscopy, influenza vaccine, and pneumococcal vaccine) and social risk factor domains, while controlling for covariates (age, sex, race and ethnicity, health insurance, and comorbidities).

Results

A total of 82 432 unweighted US individuals (239 055 950 weighted individuals) were analyzed. A total of 54.3% were younger than 50 years, and 51.7% were female. All 5 screening outcomes were associated with educational deficit (mammography: odds ratio [OR], 0.73 [95% CI, 0.67-0.80]; Papanicolaou test: OR, 0.78 [95% CI, 0.72-0.85]; influenza vaccine: OR, 0.71 [95% CI, 0.67-0.74]; pneumococcal vaccine: OR, 0.68 [95% CI, 0.63-0.75]; colonoscopy: OR, 0.82 [95% CI, 0.77-0.87]) and a lack of access to care (mammography: OR, 0.32 [95% CI, 0.27-0.38]; Papanicolaou test: OR, 0.49 [95% CI, 0.44-0.54]; influenza vaccine: OR, 0.44 [95% CI, 0.41-0.47]; pneumococcal vaccine: OR, 0.30 [95% CI, 0.25-0.38]; colonoscopy: OR, 0.35 [95% CI, 0.30-0.41]). Fully adjusted models showed that every unit increase in social risk count was significantly associated with decreased odds of receiving a mammography (OR, 0.74 [95% CI, 0.71-0.77]), Papanicolaou test (OR, 0.84 [95% CI, 0.81-0.87]), influenza vaccine (OR, 0.81 [95% CI, 0.80-0.83]), pneumococcal vaccine (OR, 0.80 [95% CI, 0.77-0.83]), and colonoscopy (OR, 0.88 [95% CI, 0.86-0.90]).

Conclusions and Relevance

This cross-sectional study of US adults suggests that social risk factor domains were associated with decreased odds of receiving preventive services; this association was cumulative. There is a need to address social risk factors to optimize receipt of recommended preventive services.

Association of Patient-Reported Social Needs with Emergency Department Visits and Hospitalizations Among Federally Qualified Health Center Patients

BACKGROUND

Health care systems are increasingly screening for unmet social needs. The association between patient-reported social needs and health care utilization is not well understood.

OBJECTIVE

To investigate the association between patient-reported social needs, measured by the Protocol for Responding to and Assessing Patients' Assets, Risks, and Experiences (PRAPARE), and inpatient and emergency department (ED) utilization.

DESIGN

This cohort study analyzed merged 2017-2019 electronic health record (EHR) data across multiple health systems.

PARTICIPANTS

Adult patients from a federally qualified health center (FQHC) in central North Carolina who completed PRAPARE as part of a primary care visit with behavioral health services.

MAIN MEASURES

The count of up to 12 unmet social needs, aggregated as 0, 1, 2, or 3 + . Outcomes include the probability of an ED visit and hospitalization 12 months after PRAPARE assessment, modeled by logistic regressions controlling for age, sex, race, ethnicity, comorbidity burden, being uninsured, and prior utilization in the past 12 months.

KEY RESULTS

The study population consisted of 1924 adults (38.7% male, 50.1% Black, 36.3% Hispanic, 55.9% unemployed, 68.2% of patients reported 1 + needs). Those with more needs were younger, more likely to be unemployed, and experienced greater comorbidity burden. 35.3% of patients had ED visit(s) and 36.3% had hospitalization(s) 1 year after PRAPARE assessment. In adjusted analysis, having 3 + needs was associated with a percentage point increase in the predicted probability of hospitalization (average marginal effect 0.06, SE 0.03, p < 0.05) compared with having 0 needs. Similarly, having 2 needs (0.07, SE 0.03, p < 0.05) or 3 + needs (0.06, SE 0.03, p < 0.05) was associated with increased probability of ED visits compared to 0 needs.

CONCLUSIONS

Patient-reported social needs were common and associated with health care utilization patterns. Future research should identify interventions to address unmet social needs to improve health and avoid potentially preventable escalating medical intervention.

Changes in Emergency Department Utilization in Vulnerable Populations After COVID-19 Shelter-in-Place Orders

OBJECTIVES

This study aims to compare emergency department (ED) utilization and admission rates for patients with a history of mental health (MH) disorders, substance use disorders (SUDs), and social determinants of health (SDOH) before and after implementing COVID-19 shelter-in-place (SIP) orders.

METHODS

This was a retrospective, multicenter study leveraging electronic medical record (EMR) data from 20 EDs across a large Midwest integrated healthcare system from 5/2/2019 to 12/31/2019 (pre-SIP) and from 5/2/2020 to 12/31/2020 (post-SIP). Diagnoses were documented in the patient's medical records. Poisson and logistic regression models were used to evaluate ED utilization and admission rate changes.

RESULTS

A total of 871,020 ED encounters from 487,028 unique patients were captured. Overall, 2,572 (0.53%) patients had a documented Z code for SDOH. Patients with previously diagnosed MH disorders or SUDs were more likely to seek ED care after the SIP orders were implemented (risk ratio (RR): 1.20, 95% confidence interval (CI): 1.18-1.22, p<0.001), as were patients with SDOH (RR: 2.37, 95% CI: 2.19-2.55, p<0.001). Patients with both previously diagnosed MH disorders or SUDs and a documented SDOH had even higher ED utilization (RR: 3.31, 95% CI: 2.83-3.88, p<0.001) than those with either condition alone. Patients with MH disorders and SUDs (OR: 0.89, 95% CI: 0.86-0.92, p<0.001) or SDOH (OR: 0.67, 95% CI: 0.54-0.83, p<0.001) were less likely to be admitted post-SIP orders, while patients with a history of diseases of physiologic systems were more likely to be admitted.

CONCLUSION

Vulnerable populations with a history of MH disorders, SUDs, and SDOH experienced increased ED utilization but a lower rate of hospital admissions after the implementation of SIP orders. The findings highlight the importance of addressing these needs to mitigate the impact of public health crises on these populations.

Retrospective Analysis of Risk Factors in Geriatric Hip Fracture Patients Predictive of Surgical Intensive Care Unit Admission

INTRODUCTION

Although numerous risk factors and prediction models affecting morbidity and mortality in geriatric hip fracture patients have been previously identified, there are scant published data on predictors for perioperative Surgical Intensive Care Unit (SICU) admission in this patient population. Determining if a patient will need an SICU admission would not only allow for the appropriate allocation of resources and personnel but also permit targeted clinical management of these patients with the goal of improving morbidity and mortality outcomes. The purpose of this study was to identify specific risk factors predictive of SICU admission in a population of geriatric hip fracture patients. Unlike previous studies which have investigated predominantly demographic, comorbidity, and laboratory data, the present study also considered a frailty index and length of time from injury to presentation in the Emergency Department (ED).

METHODS

A total of 501 geriatric hip fracture patients admitted to a Level 1 trauma center were included in this retrospective, single-center, quantitative study from January 1, 2019, to December 31, 2022. Using a logistical regression analysis, more than 25 different variables were included in the regression model to identify values predictive of SICU admission. Predictive models of planned versus unplanned SICU admissions were also estimated. The discriminative ability of variables in the final models to predict SICU admission was assessed with receiver operating characteristic curves' area under the curve estimates.

RESULTS

 Frailty, serum lactate > 2, and presentation to the ED > 12 hours after injury were significant predictors of SICU admission overall (P = 0.03, 0.038, and 0.05 respectively). Additionally, the predictive model for planned SICU admission had no common significant predictors with unplanned SICU admission. Planned SICU admission significant predictors included an Injury Severity Score (ISS) of 15 and greater, a higher total serum protein, serum sodium <135, systolic blood pressure (BP) under 100, increased heart rate on admission to ED, thrombocytopenia (<120), and higher Anesthesia Society Association physical status classification (ASA) score (P = 0.007, 0.04, 0.05, 0.002, 0.041, 0.05, and 0.005 respectively). Each SICU prediction model (overall, planned, and unplanned) demonstrated sufficient discriminative ability with the area under the curve (AUC) values of 0.869, 0.601, and 0.866 respectively. Finally, mean hospital Length of Stay (LOS) and mortality were increased in SICU admissions when compared to non-SICU admissions.

CONCLUSION

Of the three risk factors predictive of SICU admission identified in this study, two have not been extensively studied previously in this patient population. Frailty has been associated with increased mortality and postoperative complications in hip fracture patients, but this is the first study to date to use a novel frailty index specifically designed and validated for use in hip fracture patients. The other risk factor, time from injury to presentation to the ED serves as an indicator for time a hip fracture patient spent without receiving medical attention. This risk factor has not been investigated heavily in the past as a predictor of SICU admissions in this patient population.

Screening tools to address social determinants of health in the United States: A systematic review

The Centers for Medicare & Medicaid Services have mandated that hospitals implement measures to screen social determinants of health (SDoH). We sought to report on available SDoH screening tools. PubMed, Scopus, Web of Science, as well as the grey literature were searched (1980 to November 2023). The included studies were US-based, written in English, and examined a screening tool to assess SDoH. Thirty studies were included in the analytic cohort. The number of questions in any given SDoH assessment tool varied considerably and ranged from 5 to 50 (mean: 16.6). A total of 19 SDoH domains were examined. Housing (n = 23, 92%) and safety/violence (n = 21, 84%) were the domains assessed most frequently. Food/nutrition (n = 17, 68%), income/financial (n = 16, 64%), transportation (n = 15, 60%), family/social support (n = 14, 56%), utilities (n = 13, 52%), and education/literacy (n = 13, 52%) were also commonly included domains in most screening tools. Eighteen studies proposed specific interventions to address SDoH. SDoH screening tools are critical to identify various social needs and vulnerabilities to help develop interventions to address patient needs. Moreover, there is marked heterogeneity of SDoH screening tools, as well as the significant variability in the SDoH domains assessed by currently available screening tools.

Understanding the relationship between social risk factors and functional limitation among stroke survivors in the US

BACKGROUND

Stroke is the fifth leading cause of death and disability in the United States. Social risk factors contribute to recovery from stroke, however the relationship between social risk factors and functional limitation among stroke survivors remains unknown.

METHODS

Data on 2,888 adults with stroke from the National Health Interview Survey from 2016-2018 was analyzed. The primary independent variables included six social risk factors: economic instability, lack of community, educational deficit, food insecurity, social isolation, and inadequate access to care. The outcome measure was functional limitation count. Negative binomial regression models were run to test the relationship between the independent and dependent variables adjusting for covariates.

RESULTS

Overall, 56% of the study participants were aged 65+, 70% were Non-Hispanic White, and 95% had at least one comorbidity. The mean functional limitation count was 1.8. In the unadjusted model, each social risk factor was significantly associated with functional limitation. In the fully adjusted model, significant association with functional limitation was found in individuals reporting economic instability (Incidence rate ratio [IRR] 1.65, 95% CI 1.33, 2.06), food insecurity (IRR 1.28, 95% CI 1.15, 1.42), and social isolation (IRR 1.64, 95% CI 1.48, 1.82).

CONCLUSIONS

Social risk factors such as economic instability, food insecurity and social isolation are significantly associated with functional limitation in adults with stroke. Interventions designed to address both social and medical needs have the potential to improve physical functioning and other clinical outcomes in stroke survivors.

Social Determinants of Intrinsic Capacity: A National Cohort Study

INTRODUCTION

Intrinsic capacity (IC), a composite of physical and mental capacities, is a marker of healthy aging. Social determinants of health (SDOH), namely the economic and social environments across a lifespan, are the most fundamental factors influencing health outcomes and health disparities. However, there is limited evidence on the influence of the individual and combined burden of the SDOH on IC.

METHODS

Data were obtained from the China Health and Retirement Longitudinal Study (2011-2015), and data analysis was conducted in 2023. Linear mixed-effect regression was employed to investigate the association between SDOH and IC in a longitudinal analysis.

RESULTS

This study comprised 7,669 participants (mean [SD] age, 68.5 [7.1] years; 49.8% female; mean [SD] IC, 7.2 [1.6]). In the longitudinal analysis, all five SDOH domains were independently and significantly associated with IC. The absence of social association within the social and community context domain exhibited the weakest association with IC (β: -0.11 [95% CI -0.20, -0.02]), while illiteracy within the education access and quality domain demonstrated the strongest association with IC (β: -0.51 [95% CI -0.60, -0.42]). Furthermore, the adverse effects of SDOH on IC became more distinguishable with the cumulative number of SDOH variables (coefficient for 2 SDOH, -0.41 [-0.64, -0.19]; 3 SDOH, -0.70 [-0.93, -0.48]; ≥4 SDOH, -1.10 [-1.33, -0.88]) compared with those without any SDOH.

CONCLUSIONS

Certain SDOH levels were significantly and negatively associated with IC. Targeted interventions may be needed to improve SDOH in individuals at high risk of poor IC.

Association between patient-reported social and behavioral risks and health care costs in high-risk Veterans health administration patients

OBJECTIVE

Social risks complicate patients' ability to manage their conditions and access healthcare, but their association with health expenditures is not well established. To identify patient-reported social risk, behavioral, and health factors associated with health expenditures in Veterans Affairs (VA) patients at high risk for hospitalization or death.

DATA SOURCES, STUDY SETTING, AND STUDY DESIGN

Prospective cohort study among high-risk Veterans obtaining VA care. Patient-reported social risk, function, and other measures derived from a 2018 survey sent to 10,000 VA patients were linked to clinical and demographic characteristics extracted from VA data. Response-weighted generalized linear and marginalized two-part models were used to examine VA expenditures (total, outpatient, medication, inpatient) 1 year after survey completion in adjusted models.

PRINCIPAL FINDINGS

Among 4680 survey respondents, the average age was 70.9 years, 6.3% were female, 16.7% were African American, 20% had body mass index ≥35, 42.4% had difficulty with two or more basic or instrumental activities of daily living, 19.3% reported transportation barriers, 12.5% reported medication insecurity and 21.8% reported food insecurity. Medication insecurity was associated with lower outpatient expenditures (-$1859.51 per patient per year, 95% confidence interval [CI]: -3200.77 to -518.25) and lower total expenditures (-$4304.99 per patient per year, 95% CI: -7564.87 to -1045.10). Transportation barriers were negatively associated with medication expenditures (-$558.42, 95% CI: -1087.93 to -31.91). Patients with one functional impairment had higher outpatient expenditures ($2997.59 per patient year, 95% CI: 1185.81-4809.36) than patients without functional impairments. No social risks were associated with inpatient expenditures.

CONCLUSIONS

In this study of VA patients at high risk for hospitalization and mortality, few social and functional measures were independently associated with the costs of VA care. Individuals with functional limitations and those with barriers to accessing medications and transportation may benefit from targeted interventions to ensure that they are receiving the services that they need.

Association Between Social Determinants of Health and Communication Difficulties in Poststroke U.S. Hispanic and Non-Hispanic White Populations

PURPOSE

The relationship among ethnicity, social determinants of health (SDOH), and disparities in poststroke outcomes is complex, and the impact on communication difficulties is unclear. This study investigated the presence and nature of communication difficulties in poststroke non-Hispanic White (PsnHw) and Hispanic U.S. populations using population-level data.

METHOD

We performed a cross-sectional analysis of 2,861 non-Hispanic White and 353 Hispanic poststroke respondents included in the 2014-2018 National Health Interview Survey. Respondents self-reported difficulties communicating in their usual language, in addition to providing information relating to demographics and lifestyle, health care access and utilization, health status, and SDOH. We used univariate statistics, generalized linear models, and an exploratory mediation analysis, to characterize the pattern of differences between these cohorts, examine associations between variables and communication difficulties, and determine the potential intermediate role of cumulative SDOH on the likelihood of reporting communication difficulties.

RESULTS

Findings indicated a more challenging life context for the poststroke Hispanic population due to SDOH disparities. Poverty and Internet use were associated with greater and lower odds of communication difficulties for PsnHw, respectively. The mediation analysis showed that ethnicity significantly affected communication difficulties, but only when mediated by SDOH. SDOH accounted for approximately two thirds of the total effect on reporting communication difficulties.

CONCLUSIONS

This study underscores the need for uniform measures of SDOH in prospective research and for interventions aimed at mitigating health disparities through addressing disparities in SDOH. Future research should focus on evaluating the effectiveness of such strategies in diverse ethnic and socioeconomic poststroke populations.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.24521419.

Relationship between social determinants of health and hospitalizations and costs among patients with bipolar disorder 1

BACKGROUND

Bipolar disorder type 1 (BD-1) is a serious episodic mental illness whose severity can be impacted by social determinants of health (SDOH). To date the relationship of social and economic factors with health care utilization has not been formally analyzed using real-world data.

OBJECTIVE

To describe patient characteristics and assess the influence of SDOH on hospitalizations and costs in patients with BD-1 insured with commercial and managed Medicaid health plans.

METHODS

This retrospective observational study used data from the Medical Outcomes Research for Effectiveness and Economics (MORE2) Registry to identify patients aged 18 years and older with evidence of BD-1 between July 1, 2016, and December 31, 2018. SDOH were linked to patients at the "near neighborhood" level (based on ZIP9 area). Multivariable models assessed the relationship between patient characteristics and hospitalizations (incidence rate ratios [95% CI]) and costs (cost ratios [95% CI]).

RESULTS

Of 243,286 patients with BD-1, 62,148 were covered by commercial insurance and 181,138 by Medicaid. Mean ages [±SD] were similar (commercial 39.8 [±14.8]; Medicaid 40.1 [±13.6]), with more female patients in both cohorts (commercial 59.8%; Medicaid 65.4%). All-cause hospitalization rates were 21.6% for commercial and 35.1% for Medicaid patients; emergency department visits were 39.7% and 64.3%, respectively. All-cause costs were $15,379 [±$27,929] for commercial and $21,474 [±$37,600] for Medicaid. Older age was a significant predictor of fewer hospitalizations compared with those aged younger than 30 years, particularly ages 40-49 for both commercial (0.60 [0.57-0.64]) and Medicaid (0.82 [0.80-0.85]). Increasing age was associated with significantly higher costs, especially age 65 and older (commercial 1.37 [1.31-1.44]); (Medicaid 1.43 [1.38-1.49]). Initial treatment with antipsychotics plus antianxiety medications was a significant predictor of higher hospitalizations (commercial 2.12 [1.98-2.27]; Medicaid 1.62 [1.57-1.68]) and higher costs (commercial 1.86 [1.80-1.92]); Medicaid 1.80 [1.76-1.84]). Household income was inversely associated with hospitalizations for Medicaid (<$30,000 [1.16 (1.12-1.19)]; $30,000-$39,999 [1.11 (1.07-1.15)]; $40,000-$49,999 [1.08 (1.05-1.12)]; $50,000-$74,999 [1.06 (1.02-1.09)]). Not speaking English well or at all was associated with 90% higher hospitalizations for commercial patients (1.93 [1.36-2.76]) but 40% fewer hospitalizations for Medicaid patients (0.59 [0.53-0.67]). Low English language proficiency was associated with significantly higher costs for commercial patients (2.22 [1.86-2.64]) but lower costs for Medicaid patients (0.57 [0.53-0.61]).

CONCLUSIONS

Medicaid patients with BD-1 had high SDOH burden, hospitalizations, and costs. The association of lower English proficiency with fewer hospitalizations and lower costs in Medicaid patients suggests a potential disparity in access to care. These findings highlight the importance of addressing social risk factors to advance health equity in treatment of mental illness.

A scoping review of intimate partner violence in hospitalized patients

BACKGROUND

Despite the high prevalence and significant health effects of intimate partner violence (IPV), little is known about its associations with hospitalization.

OBJECTIVE

To perform a scoping review of how IPV impacts hospitalization rates, characteristics, and outcomes in adult patients.

DATA SOURCES

A search of four databases (MEDLINE, Embase, Web of Science, and CINAHL) using a combination of terms including hospitalized patients and IPV revealed 1608 citations.

STUDY SELECTION AND DATA EXTRACTION

One reviewer determined eligibility based on inclusion and exclusion criteria, which a second reviewer independently verified. Data were extracted and organized a posteriori into three categories based on research aim: (1) comparative studies of hospitalization risk associated with recent IPV exposure, (2) comparative studies of hospitalization outcomes by IPV exposure, and (3) descriptive studies of hospitalizations for IPV.

RESULTS

Of the 12 included studies, 7 were comparative studies of hospitalization risk associated with IPV, 2 were comparative studies of hospitalization outcomes by IPV, and 3 were descriptive studies of hospitalizations for IPV. Nine out of 12 studies focused on specific patient populations. All but one study demonstrated that IPV was associated with increased risk of hospitalization and/or worse hospitalization outcomes. Six of the seven comparative studies showed a positive association between recent IPV and hospitalization risk.

CONCLUSION

This review suggests that IPV exposure increases the risk of hospitalization and/or worsens inpatient outcomes in specific patient populations. Additional work is needed to characterize hospitalization rates and outcomes for persons who have experienced IPV in a broader, nontrauma population.

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.

The association of patient-reported social determinants of health and hospitalization rate: A scoping review

Introduction

The interplay between social determinants of health (SDOH) and hospitalization is significant as targeted interventions can improve the social status of the individuals. This interrelation has been historically overlooked in health care. In the present study, we reviewed studies in which the association between patient-reported social risks and hospitalization rate was assessed.

Method

We performed a scoping literature review of articles published until September 1, 2022 without time limit. We searched PubMed, Embase, Web of Science, Scopus, and Google Scholar to find relevant studies using terms representing "social determinants of health" and "hospitalization." Forward and backward reference checking was done for the included studies. All studies that used patient-reported data as a proxy of social risks to determine the association between social risks and hospitalization rates were included. The screening and data extraction processes were done independently by two authors. In case of disagreement, senior authors were consulted.

Results

Our search process retrieved a total of 14,852 records. After the duplicate removal and screening process, eight studies met the eligibility criteria, all of which were published from 2020 to 2022. The sample size of the studies ranged from 226 to 56,155 participants. All eight studies investigated the impact of food security on hospitalization, and six investigated economic status. In three studies, latent class analysis was applied to divide participants based on their social risks. Seven studies found a statistically significant association between social risks and hospitalization rates.

Conclusion

Individuals with social risk factors are more susceptible to hospitalization. There is a need for a paradigm shift to meet these needs and reduce the number of preventable hospitalizations.

Evaluating the Impact of a Mobile Integrated Health‒Community Paramedicine Program on Health-Related Social Needs and Hospital Readmissions

OBJECTIVE

Evaluate a mobile integrated health-community paramedicine program's effect on addressing health-related social needs and their association with hospital readmissions.

METHODS

This observational study enrolled 1,003 patients from 5/4/2018-7/23/21. Descriptive statistics summarize social needs. A Poisson regression model examined the association of interventions for social needs with 30-day readmissions.

RESULTS

Patients who had their medication-related needs fully addressed had a 65% lower rate of total 30-day readmission compared with patients who had no such needs fully addressed (IRR=0.35, 95% CI 0.18-0.68, P=.002). No variables reached statistical significance related to unplanned 30-day readmissions, aside from the HOSPITAL Score.

CONCLUSIONS

Assisting patients with medication-related needs is associated with reductions in overall 30-day readmissions. Interventions within most domains were not associated with reductions in overall or unplanned 30-day readmissions. This program had greater success addressing needs with one-step interventions, suggesting additional time and resources may be necessary to address complex social needs.

Household and area determinants of emergency department attendance and hospitalisation in people with multimorbidity: a systematic review

OBJECTIVES

Multimorbidity is one of the greatest challenges facing healthcare internationally. Emergency department (ED) attendance and hospitalisation rates are higher in people with multimorbidity, but most research focuses on associations with individual characteristics, ignoring household or area mediators of service use.

DESIGN

Systematic review reported using the synthesis without meta-analysis framework.

DATA SOURCES

Twelve electronic databases (1 January 2000-21 September 2021): MEDLINE/OVID, Embase, Global Health, PsycINFO, ASSIA, CAB Abstracts, Science Citation Index Expanded/ISI Web of Science, Scopus, Cumulative Index to Nursing and Allied Health Literature, Sociological Abstracts, the Cochrane Library, and OpenGrey.

ELIGIBILITY CRITERIA

Adults aged ≥16 years, with multimorbidity. Exposure(s) were household and/or area determinants of health. Outcomes were ED attendance and/or hospitalisation. The literature search was limited to publications in English.

DATA EXTRACTION AND SYNTHESIS

Independent double screening of titles and abstracts to select relevant full-text studies. Methodological quality was assessed using an adaptation of the Newcastle-Ottawa Quality Assessment Scale tool. Given high study heterogeneity, narrative synthesis was performed.

RESULTS

After deduplication, 10 721 titles and abstracts were screened, and 142 full-text articles were reviewed, of which 10 were eligible for inclusion. In people with multimorbidity, household food insecurity was associated with hospitalisation (OR 1.58 (95% CI 1.06 to 2.36) in concordant multimorbidity). People with multimorbidity living in the most versus least deprived areas attended ED more frequently (8.9% (95% CI 8.6 to 9.1) in most versus 6.3% (95% CI 6.1 to 6.6) in least), had higher rates of hospitalisation (26% in most versus 22% in least), and higher probability of hospitalisation (6.4% (95% CI 5.8 to 7.2) in most versus 4.2% (95% CI 3.8 to 4.7) in least). There was non-conclusive evidence that household income is associated with ED attendance and hospitalisation. No statistically significant relationships were found between marital status, living with others with multimorbidity, or rurality with ED attendance or hospitalisation.

CONCLUSIONS

There is some evidence that household and area contexts mediate associations of multimorbidity with ED attendance and hospitalisation, but firm conclusions are constrained by the small number of studies published and study design heterogeneity. Further research is required on large population samples using robust analytical methods.

PROSPERO REGISTRATION NUMBER

CRD42021283515.

Association of Social Risk Domains With Poor Cardiovascular Risk Factor Control in US Adults With Diabetes, From 2006 to 2016

IMPORTANCE

Few studies have examined the association between social risk factors and poor control of cardiovascular disease (CVD) risk factors.

OBJECTIVE

To examine the sequential association between social risk domains and CVD risk control over time in older adults with diabetes.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study analyzed core interviews from 4877 US adults with diabetes who were participating in the Health and Retirement Study, a national longitudinal survey of US adults. Participants were older than 50 years, completed the social risk domain questions, and had data on CVD risk factor measures from January 2006 to December 2016. Data were analyzed from June to July 2022.

EXPOSURES

Five social risk domains were created: (1) economic stability, (2) neighborhood or built environment, (3) education access, (4) health care access, and (5) social or community context.

MAIN OUTCOMES AND MEASURES

The 4 primary outcomes were (1) poor glycemic control (hemoglobin A1c [HbA1c] level ≥8.0%), (2) poor blood pressure (BP) control (systolic BP≥140 mm Hg and diastolic BP ≥90 mm Hg), (3) poor cholesterol control (total cholesterol/high-density lipoprotein ratio ≥5), and (4) a composite of poor CVD risk control (≥2 poorly controlled glucose level, BP, or cholesterol level).

RESULTS

Among this cohort of 4877 older adults with diabetes (mean [SD] age, 68.6 [9.8] years; 2715 women [55.7%]), 890 participants (18.3%) had an HbA1c level of 8% or higher, 774 (15.9%) had systolic BP of 140 mm Hg or higher and diastolic BP of 90 mm Hg or higher, 962 (19.7%) had total cholesterol/high-density lipoprotein ratio of 5 or higher, and 437 (9.0%) had at least 2 poorly controlled CVD risk factors. Neighborhood or built environment (ie, adverse social support) was independently associated with poor glycemic control (odds ratio [OR], 1.31; 95% CI, 1.06-1.63), whereas economic stability (ie, medication cost-related nonadherence) (OR, 1.40; 95% CI, 1.04-1.87) and health care access (ie, lack of health insurance) (OR, 1.58; 95% CI, 1.20-2.09) were independently associated with poor BP control after full adjustment. Education access (ie, lack of education) (OR, 1.24; 95% CI, 1.01-1.52) and health care access (ie, lack of health insurance) (OR, 1.31; 95% CI, 1.02-1.68) were independently associated with poor cholesterol control. Health care access (ie, lack of health insurance) was the only social risk domain that was independently associated with having at least 2 poorly controlled CVD risk factors (OR, 1.72; 95% CI, 1.26-2.37).

CONCLUSIONS AND RELEVANCE

Results of this study suggest that certain social risk domains are associated with control of CVD risk factors over time. Interventions targeting domains, such as neighborhood or built environment, economic stability, and education access, may be beneficial to controlling CVD risk factors in older adults with diabetes.