Social Vulnerability Indices as a Risk Factor for Heart Failure Readmissions

Social Vulnerability Index and Health Outcomes in the United States: A Systematic Review

The Centers for Disease Control and Prevention created the Social Vulnerability Index (SVI) for the purpose of allocating resources in times of emergency based on social determinants of health (SDOH). The purpose of this systematic review was to evaluate how the SVI tool has been applied in health care literature focused on health in the United States (US). A systematic literature review was conducted in 7 research databases with an 11-year time frame reflecting the launch of SVI, with the last search completed on September 29, 2022. Studies were included that involved humans, health, SVI, and conducted in the US. Articles were excluded if the SVI was used in COVID-19, disaster, pandemic, environment, or hazards. A total of 47 articles were included in the systematic review. The majority of studies analyzed individual/population health outcomes in clinical, surgical, mortality, or health promotion areas. The majority of studies showed a relationship between neighborhood-level SDOH and health outcomes. Study authors reported strengths, limitations, and recommendations of the SVI tool. A potential limitation of the study was the exclusion of studies that used the SVI related to disaster. The SVI represents a powerful tool to assess neighborhood-level SDOH and examine upstream drivers health outcomes with direct implications for research, policy, and practice.

A standard procedure for constructing a multi-level social vulnerability index using CLSA and SOS data as working examples

BACKGROUND

The construct of social vulnerability attempts to understand social circumstances not merely as a descriptor, but as a predictor of adverse health events. It can be measured by aggregating social deficits in a social vulnerability index (SVI). We describe a standard procedure for constructing a multi-level SVI using two working examples.

METHODS

First, we describe a six-step approach to constructing a SVI. Then, we conducted a secondary analysis of a clinical dataset (Canadian Immunization Research Network's Serious Outcomes Surveillance Network (SOS)) and a population-based dataset (Canadian Longitudinal Study on Aging (CLSA)). In both datasets, we construct SVIs, use descriptive statistics to report distributions by age and sex, and perform a multivariable linear regression of social vulnerability on frailty.

RESULTS

Procedures for drafting a list of candidate social items, selecting deficits for inclusion, and screening deficits to meet inclusion criteria were applied to yield a 18-deficit SVI for the SOS and 74-deficit SVI for the CLSA. Deficits in each SVI were re-scored between 0 and 1, where 1 indicates the greater risk. Finally, the sum of all deficits is calculated into an index. In the SOS, SVI was associated with age only for females and was weakly associated with frailty (r = 0.26, p<0.001). In the CLSA, SVI was associated with age for both sexes and moderately associated with frailty (r = 0.41, p<0.001).

CONCLUSION

We present a standard method of constructing a SVI by incorporating factors from multiple social domains and levels in a social-ecological model. This SVI can be used to improve our understanding of social vulnerability and its impacts on the health of communities and individuals.

Social Phenotyping for Cardiovascular Risk Stratification in Electronic Health Registries

PURPOSE OF REVIEW

Evaluation of social influences on cardiovascular care requires a comprehensive analysis encompassing economic, societal, and environmental factors. The increased utilization of electronic health registries provides a foundation for social phenotyping, yet standardization in methodology remains lacking. This review aimed to elucidate the primary approaches to social phenotyping for cardiovascular risk stratification through electronic health registries.

RECENT FINDINGS

Social phenotyping in the context of cardiovascular risk stratification within electronic health registries can be separated into four principal approaches: place-based metrics, questionnaires, ICD Z-coding, and natural language processing. These methodologies vary in their complexity, advantages and limitations, and intended outcomes. Place-based metrics often rely on geospatial data to infer socioeconomic influences, while questionnaires may directly gather individual-level behavioral and social factors. Z-coding, a relatively new approach, can capture data directly related to social determinant of health domains in the clinical context. Natural language processing has been increasingly utilized to extract social influences from unstructured clinical narratives-offering nuanced insights for risk prediction models. Each method plays an important role in our understanding and approach to using social determinants data for improving population cardiovascular health. These four principal approaches to social phenotyping contribute to a more structured approach to social determinant of health research via electronic health registries, with a focus on cardiovascular risk stratification. Social phenotyping related research should prioritize refining predictive models for cardiovascular diseases and advancing health equity by integrating applied implementation science into public health strategies.

Influence of social vulnerability index on Medicare beneficiaries' expenditures upon discharge

Medicare beneficiaries' healthcare spending varies across geographical regions, influenced by availability of medical resources and institutional efficiency. We aimed to evaluate whether social vulnerability influences healthcare costs among Medicare beneficiaries. Multivariable regression analyses were conducted to determine whether the social vulnerability index (SVI), released by the Centers for Disease Control and Prevention (CDC), was associated with average submitted covered charges, total payment amounts, or total covered days upon hospital discharge among Medicare beneficiaries. We used information from discharged Medicare beneficiaries from hospitals participating in the Inpatient Prospective Payment System. Covariate adjustment included demographic information consisting of age groups, race/ethnicity, and Hierarchical Condition Category risk score. The regressions were performed with weights proportioned to the number of discharges. Average submitted covered charges significantly correlated with SVI (β = 0.50, p < 0.001) in the unadjusted model and remained significant in the covariates-adjusted model (β = 0.25, p = 0.039). The SVI was not significantly associated with the total payment amounts (β = -0.07, p = 0.238) or the total covered days (β = 0.00, p = 0.953) in the adjusted model. Regional variations in Medicare beneficiaries' healthcare spending exist and are influenced by levels of social vulnerability. Further research is warranted to fully comprehend the impact of social determinants on healthcare costs.

Social Vulnerability Index and Cardiovascular Disease Care Continuum: A Scoping Review

Background

Social vulnerability index (SVI) estimates the vulnerability of communities to disasters, encompassing 4 separate domains (socioeconomic, household composition and disability, minority status and language, and housing and transportation). The SVI has been linked with risk and outcomes of cardiovascular disease (CVD).

Objectives

This scoping review explored the literature between the SVI and CVD continuum, with a goal to identify gaps in understanding the impact of the SVI on CVD and to elucidate future research opportunities.

Methods

We systematically searched 7 databases from inception to May 19, 2023, for articles that explored the relationship between the SVI and CVD care continuum, including prevention, diagnosis and prevalence, treatment, and health outcomes. Extracted data included SVI ranking type, populations, outcomes, and quality of studies.

Results

Twelve studies evaluated the impact of SVI on the CVD continuum. Five studies explored mortality outcomes, 3 studies explored CVD risk factor prevalence, 4 studies explored CVD prevalence, 1 study explored access to health care in those with CVD, 1 study explored the use of cardiac rehabilitation services, and 1 study explored heart failure readmission rates, all of which revealed statistically significant associations with SVI. All studies included the SVI aggregate percentile ranking, while 5 studies focused on individual thematic components. We identified gaps in understanding the SVI's impact on CVD care continuum, particularly regarding CVD prevention and early detection.

Conclusions

This review provides a comprehensive understanding of the SVI's application in assessing various aspects of the CVD care continuum and highlights potential avenues for future research.

Predictors of Subspecialty Appointment Scheduling and Completion for Patients Referred From a Pediatric Primary Care Clinic

Failure to complete subspecialty referrals decreases access to subspecialty care and may endanger patient safety. We conducted a retrospective analysis of new patient referrals made to the 14 most common referral departments at Boston Children's Hospital from January 1 to December 31, 2017. The sample included 2031 patient referrals. The mean wait time between referral and appointment date was 39.6 days. In all, 87% of referrals were scheduled and 84% of scheduled appointments attended, thus 73% of the original referrals were completed. In multivariate analysis, younger age, medical complexity, being a non-English speaker, and referral to a surgical subspecialty were associated with a higher likelihood of referral completion. Black and Hispanic/Latino race/ethnicity, living in a Census tract with Social Vulnerability Index (SVI) ≥ 90th percentile, and longer wait times were associated with a lower likelihood of appointment attendance. Future interventions should consider both health care system factors such as appointment wait times and community-level barriers to referral completion.

Social risk and patient-reported outcomes after total knee replacement: Implications for Medicare policy

OBJECTIVE

To determine whether county-level or patient-level social risk factors are associated with patient-reported outcomes after total knee replacement when added to the comprehensive joint replacement risk-adjustment model.

DATA SOURCES AND STUDY SETTING

Patient and outcomes data from the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement cohort were merged with the Social Vulnerability Index from the Centers for Disease Control and Prevention.

STUDY DESIGN

This prospective longitudinal cohort measured the change in patient-reported pain and physical function from baseline to 12 months after surgery. The cohort included a nationally diverse sample of adult patients who received elective unilateral knee replacement between 2012 and 2015.

DATA COLLECTION/EXTRACTION METHODS

Using a national network of over 230 surgeons in 28 states, the cohort study enrolled patients from diverse settings and collected one-year outcomes after the surgery. Patients <65 years of age or who did not report outcomes were excluded.

PRINCIPAL FINDINGS

After adjusting for clinical and demographic factors, we found patient-reported race, education, and income were associated with patient-reported pain or functional scores. Pain improvement was negatively associated with Black race (CI = -8.71, -3.02) and positively associated with higher annual incomes (≥$45,00) (CI = 0.07, 2.33). Functional improvement was also negatively associated with Black race (CI = -5.81, -0.35). Patients with higher educational attainment (CI = -2.35, -0.06) reported significantly less functional improvement while patients in households with three adults reported greater improvement (CI = 0.11, 4.57). We did not observe any associations between county-level social vulnerability and change in pain or function.

CONCLUSIONS

We found patient-level social factors were associated with patient-reported outcomes after total knee replacement, but county-level social vulnerability was not. Our findings suggest patient-level social factors warrant further investigation to promote health equity in patient-reported outcomes after total knee replacement.

Association Between Social Vulnerability Index and Hospital Readmission Following Gunshot Injuries

INTRODUCTION

No association regarding classification of social vulnerability and outcomes of patients with gunshot injury have been described. Our goal was to assess whether the socioeconomic vulnerability index (SVI), is associated with an increased risk of hospital readmission following gunshot wounds.

METHODS

We conducted an exploratory retrospective cohort study on Massachusetts patients with trauma following gunshot wounds from January 1, 2012 to December 31, 2020 using the institutional trauma registry. We estimated the association between high social vulnerability (defined by the Centers for Disease Control and Prevention as ≥90th percentile) and incidence of all-cause readmission at 30, 60, and 90 d (overall and stratified over sex, race, and age groups). Estimates from unadjusted log-binomial regression were reported using relative risks (RRs) and 95% confidence intervals. Time-to-event (readmission) was assessed using Kaplan-Meier plots.

RESULTS

A total of 386 patients were included for analysis: 211 (55%) with SVI <0.90 and 175 (45%) with SVI ≥0.90. The mean (standard deviation) age was 29 (13) y, with majority being male (89%). There was no strong risk of readmission associated with SVI ≥0.90; the interval with the greatest risk was at 60 d (RR = 1.34; 95% confidence interval [0.73, 2.45]). Among stratified analyses, the strongest associations were observed when restricting to young adults (aged 18-35) with RRs of 2.49, 2.62, and 2.45 for 30, 60, and 90 d readmission, respectively.

CONCLUSIONS

Overall, high SVI was not associated with all-cause readmission; however, subanalyses suggest an association among young adults. Future research should explore SVI as a tool for identifying patients with trauma at risk for readmission.

Alcoholic cardiomyopathy mortality and social vulnerability index: A nationwide cross-sectional analysis

Background

Social vulnerability index (SVI) plays a pivotal role in the outcomes of cardiovascular diseases and prevalence of alcohol use. We evaluated the impact of the SVI on alcoholic cardiomyopathy (ACM) mortality.

Methods

Mortality data from 1999 to 2020 and the SVI were obtained from CDC databases. Demographics such as age, sex, race/ethnicity, and geographic residence were obtained from death certificates. The SVI was divided into quartiles, with the fourth quartile (Q4) representing the highest vulnerability. Age-adjusted mortality rates across SVI quartiles were compared, and excess deaths due to higher SVI were calculated. Risk ratios were calculated using univariable Poisson regression.

Results

A total of 2779 deaths were seen in Q4 compared to 1672 deaths in Q1. Higher SVI accounted for 1107 excess-deaths in the US and 0.05 excess deaths per 100,000 person-years (RR: 1.38). Similar trends were seen for both male (RR: 1.43) and female (RR: 1.67) populations. Higher SVI accounted for 0.06 excess deaths per 100,000 person-years in Hispanic populations (RR: 2.50) and 0.06 excess deaths per 100,000 person-years in non-Hispanic populations (RR: 1.46).

Conclusion

Counties with elevated SVI experienced higher ACM mortality rates. Recognizing the impact of SVI on ACM mortality can guide targeted interventions and public health strategies, emphasizing health equity and minimizing disparities.

Prevalence of and factors associated with limited health literacy in spine patients

BACKGROUND

Limited health literacy exacerbates health inequity and has serious implications for patient care. It hinders successful communication and comprehension of relevant health information, which can lead to suboptimal care. Despite the evidence regarding the significance of health literacy, the topic has received little consideration in orthopedic spine patients.

PURPOSE

To investigate the prevalence of and factors associated with limited health literacy among outpatients presenting to a tertiary urban academic hospital-based orthopedic spine center.

STUDY DESIGN

Cross-sectionals.

PATIENT SAMPLE

Patients 18 years of age or older seen at a tertiary urban academic hospital-based multi-surgeon outpatient spine center.

OUTCOME MEASURES

The Newest Vital Sign (NVS) health literacy assessment.

METHODS

Between December 2021 and March 2022, 447 consecutive English-speaking patients over the age of 18 years and new to the outpatient spine clinic were approached for participation in a cross-sectional survey study, of which 405 agreed to participate. Patients completed the Newest Vital Sign (NVS) health literacy assessment tool, the Rapid Estimation of Adult Literacy in Medicine Short Form (REALM-SF), and a sociodemographic survey (including race/ethnicity, level of education, employment status, income, and marital status). The NVS scores were divided into limited (0-3) and adequate (4-6) health literacy. REALM-SF scores were classified into reading levels below ninth grade (0-6) or at least ninth grade (7). Additional demographic data was extracted from patient records. Online mapping tools were used to collect the Social Vulnerability Index (SVI) and the Area Deprivation Index (ADI) for each patient. Subsequently, multivariable regression modeling was performed to identify independent factors associated with limited health literacy.

RESULTS

The prevalence of limited health literacy in patients presenting to an urban academic outpatient spine center was 33% (135/405). Unadjusted analysis found that patients who were socioeconomically disadvantaged (eg, unemployed, lower household income, publicly insured and higher SVI) and had more unfavorable social determinant of health features (eg, housing concerns, higher ADI, less years of education, below ninth grade reading level, unmarried) had high rates of limited health literacy. Adjusted regression analysis demonstrated that limited health literacy was independently associated with higher ADI state decile, living less than 10 years at current address, having housing concerns, not being employed, non-native English speaking, having less years of education and below ninth grade reading level.

CONCLUSIONS

This study found that a substantial portion of the patients presenting to an outpatient spine center have limited health literacy, more so if they are socially disadvantaged. Future efforts should investigate the impact of limited health literacy on access to care, treatment outcomes and health care utilization in orthopedic patients. Neighborhood social vulnerability measures may be a feasible way to identify patients at risk of limited health literacy in clinical practice and offer opportunities for tailored patient care. This may contribute to prioritizing the mitigation of disparities and aid in the development of meaningful interventions to improve health equity in orthopedics.

Associations of Social Vulnerability Index With Pathologic Myocardial Findings at Autopsy

Background: Social vulnerability is an important determinant of cardiovascular health. Prior investigations have shown strong associations of social determinants of health with cardiovascular risk factors, imaging findings, and clinical events. However, limited data exist regarding the potential role of social vulnerability and related physiologic stressors on tissue-level pathology. Methods: We analyzed clinical data and linked autopsy reports from 853 decedent individuals who underwent autopsy from 4/6/2002 to 4/1/2021 at a large urban medical center. The mean age at death was 62.9 (SD = 15.6) and 49% of decedent individuals were men. The primary exposure was census-tract level composite social vulnerability index based on the Centers for Disease Control and Prevention Social Vulnerability Index (SVI). Individuals were geocoded to census tracts and assigned SVI accordingly. Four myocardial tissue-level outcomes from autopsy were recorded as present or absent: any coronary atherosclerosis, severe/obstructive coronary atherosclerosis, myocardial fibrosis, and/or myopericardial inflammation. Multivariable-adjusted logistic regression models were constructed with SVI as the primary exposure and covariates including age, sex, race, body mass index (BMI), diabetes, and hypertension. Additional analyses were performed stratified by clinical diagnoses of heart failure (HF) and coronary artery disease (CAD). Results: In the overall cohort, SVI was not associated with outcomes on cardiac pathology in multivariable-adjusted models. However, in stratified multivariable-adjusted analyses, higher SVI (higher social vulnerability) was associated with a higher odds of myocardial fibrosis among individuals without clinical diagnoses of HF. Conclusions: Higher indices of social vulnerability are associated with a higher odds of myocardial fibrosis at autopsy among individuals without known clinical diagnoses of HF. Potential pathophysiological mechanisms and implications for prevention/treatment of myocardial dysfunction require further study.