Social Vulnerability Index Research Articles

Neighborhood Social Vulnerability Impacts Quality of Life in Kidney Stone Patients.

This study aimed to investigate the association between social vulnerability, as measured by the Centers for Disease Control and Prevention's Social Vulnerability Index (SVI), and the quality of life (QoL) of kidney stone patients using the validated Wisconsin Stone Quality of Life Questionnaire (WISQOL). A retrospective analysis was conducted on medical records of new urolithiasis patients who completed the WISQOL at the University of Rochester Medical Center kidney stone clinic. The primary outcome was WISQOL score, which was measured across multiple domains. SVI was used to assess social vulnerability. Neighborhoods with high SVI were defined by a threshold greater than or equal to the 75th percentile nationally. Demographic and clinical data were collected. Statistical analyses, including univariate tests and multivariate linear regression, were performed to evaluate the relationships between social vulnerability and disease-specific QoL. A total of 1718 patients were included in the study. One hundred five subjects (6.1%) were from neighborhoods of high social vulnerability. Patients residing in neighborhoods with high social vulnerability (SVI quartile) reported significantly lower QoL scores (69.1 vs 77.2; P = .001) and this persisted across all domains, including social impact (32.6 vs 35.1; P = .002), emotional impact (25.2 vs 27.5; P = .006), disease impact (28.5 vs 31.4; P = .001), and vitality (10.3 vs 11.2; P = .015). Younger age, female sex, and higher number of comorbidities were identified as independent predictors of lower QoL scores. However, non-White race and Latinx ethnicity did not exhibit a significant association with QoL scores. These findings highlight the negative impact of high social vulnerability on QoL, emphasizing the importance of considering socioeconomic factors in patient care. These results emphasize the need for targeted interventions to support vulnerable populations. While this study offers initial insights, further research is essential to corroborate these outcomes across larger and more diverse populations.

Association of Social Vulnerability and COVID-19 Mortality Rates in Texas between 15 March 2020, and 21 July 2022: An Ecological Analysis.

Despite the key role of social vulnerability such as economic disadvantage in health outcomes, research is limited on the impact of social vulnerabilities on COVID-19-related deaths, especially at the state and county level in the USA. We conducted a cross-sectional ecologic analysis of COVID-19 mortality by the county-level Minority Health Social Vulnerability Index (MH SVI) and each of its components in Texas. Negative binomial regression (NBR) analyses were used to estimate the association between the composite MH SVI (and its components) and COVID-19 mortality. A 0.1-unit increase in the overall MH SVI (IRR, 1.27; 95% CI, 1.04-1.55; p = 0.017) was associated with a 27% increase in the COVID-19 mortality rate. Among the MH SVI component measures, only low socioeconomic status (IRR, 1.55; 95% CI, 1.28-1.89; p = 0.001) and higher household composition (e.g., proportion of older population per county) and disability scores (IRR, 1.47; 95% CI, 1.29-1.68; p < 0.001) were positively associated with COVID-19 mortality rates. This study provides further evidence of disparities in COVID-19 mortality by social vulnerability and can inform decisions on the allocation of social resources and services as a strategy for reducing COVID-19 mortality rates and similar pandemics in the future.

Are Commonly Used Geographically Based Social Determinant of Health Indices in Orthopaedic Surgery Research Correlated With Each Other and With PROMIS Global-10 Physical and Mental Health Scores?

Are Commonly Used Geographically Based Social Determinant of Health Indices in Orthopaedic Surgery Research Correlated With Each Other and With PROMIS Global-10 Physical and Mental Health Scores?

Factors Associated with Reliance on Audio-Only Technology (Telephone) for Completion of Telepsychiatry Visits.

Introduction: The ability to access telepsychiatry through audio-video technology versus audio-only (telephone) technology potentially leads to inequitable outcomes. This study examines the characteristics of patients who relied on the telephone to complete outpatient telepsychiatry visits in a large health system. Methods: This is a retrospective analysis of all telepsychiatry outpatient visits conducted from May 1, 2020, to December 31, 2021. Demographic, clinical, and socioeconomic factors were extracted from the electronic health record. Two-sample t tests were used for continuous variables and χ2 tests for categorical variables for bivariate analyses. Multiple logistic regression was used to examine the association between only telephone visits and all input variables. Results: Eight hundred ninety-four (8.9%) patients completed all visits only by telephone during the study period. In bivariate analyses, factors associated with telephone-only visits included male sex, non-English primary language, Black race, unmarried status, non-Hispanic ethnicity, older age, Medicare enrollment, uninsured status, and higher social vulnerability index (SVI). Psychiatric diagnoses associated with only telephone visits included substance use disorders and psychotic disorders. In multivariate analyses, factors associated with higher odds of only telephone visits included older age, inactive patient portal, comorbid diabetes, higher SVI, and higher broadband adoption. Psychiatric diagnoses associated with higher odds of completing only telephone visits included psychotic disorders, substance use disorders, or intellectual/developmental disabilities. Conclusions: Several patient-level factors are associated with a reliance on the telephone to complete telepsychiatry appointments.

Are Depression and Anxiety Underdiagnosed in Socially Vulnerable Patients With Inflammatory Bowel Disease?

Depression and anxiety are highly prevalent among individuals with inflammatory bowel disease (IBD); however, little is understood about how social determinants of health (SDOH) may impact mental health diagnoses in this population. The social vulnerability index (SVI) is a publicly available tool that can be used to study SDOH in IBD patients. Home addresses from a retrospective cohort of IBD patients at a single center were used to geocode patients to their individual census tract and corresponding SVI. We used multivariable logistic regression to examine the relationship between SVI and comorbid mental health diagnoses in patients with IBD. Secondarily, data from standardized health questionnaires were then used to determine if patients were adequately screened for depression and anxiety. In all, 9644 patients were included; 18% had a diagnosis of depression, 21% anxiety, and 32% had a composite of "any mental health diagnosis." Depression (odds ratio [OR], 1.27; 95% confidence interval [CI], 1.02-1.56) but not anxiety (OR, 0.87; 95% CI, 0.71-1.06) nor "any mental health diagnosis" (OR, 1.09; 95% CI, 0.92-1.30) was associated with higher levels of social vulnerability. However, overall rates of screening for depression and anxiety were low (15% and 8%, respectively), with the lowest screening rates among the most socially vulnerable (depression 8.2%, anxiety 6.3%). Disparities in the diagnoses of depression and anxiety for socially vulnerable patients with IBD exist. Awareness of these inequities is the first step toward developing interventions to improve mental health screening, eliminate barriers and bias, and promote referrals for appropriate mental health management.

Mortality from neglected tropical ciseases in Brazil in the 21st Century: Analysis of spatial and temporal trends and associated factorsMortalidad por enfermedades tropicales desatendidas en Brasil en el siglo XXI: análisis de tendencias espaciales y temporales y factores asociados

To analyze the spatial-temporal distribution and factors associated with mortality from neglected tropical diseases (NTDs) in Brazil from 2000 to 2019. We performed an ecological study to analyze NTD-related deaths recorded in the Ministry of Health Mortality Information System (SIM). For the temporal analysis, the joinpoint method was used. Spatial dependence was analyzed using global Moran and local Getis-Ord Gi* indices. Four non-spatial and spatial regression models were used to identify factors associated with mortality. The mean mortality rate from NTDs in Brazil during the study period was 3.32 deaths per 100 000 inhabitants, with the highest rate (8.68 deaths per 100 000 inhabitants) recorded in the Midwest. The most prevalent causes of death were Chagas disease (n = 94 781; 74.9%) and schistosomiasis (n = 10 271; 8.1%). There was a 1.24% reduction (95%CI = -1.6; -0.9; P < 0.001) in NTD-related mortality in Brazil per year. A high/high spatial distribution pattern and hotspots were observed in municipalities in the states of Goiás, Minas Gerais, Bahia, Tocantins, and Piauí. The indicators "population in households with density > 2 people per bedroom" (β = -0.07; P = 0.00) and "municipal human development index" (β = -3.36; P = 0.08) were negatively associated with the outcome, while the "index of social vulnerability" (β = 2.74; P = 0.05) was positively associated with the outcome. Lower human development and higher social vulnerability are associated with higher mortality from NTDs, which should guide NTD prevention and control efforts.

Geospatial Analysis of Social Vulnerability, Race, and Firearm Violence in Chicago

IntroductionUrban firearm violence (UFV) is associated with inequities rooted in structural racism and socioeconomic disparities. Social vulnerability index (SVI) is a composite measure that encompasses both. We sought to understand the relationship between SVI and the incidence of UFV in Chicago using geospatial analysis for the first time. Materials and methodsFirearm assaults in Chicago 2001-2019 were obtained from the Trace. Locations of incidents were geocoded using ArcGIS and overlaid with census tract vector files. These data were linked to 2018 SVI measures obtained from the Center for Disease Control and Prevention. Shooting rates were calculated by tabulating the total number of shootings per capita in each census tract. We used Poisson regression with robust error variance to estimate the incident rate of UFV in different levels of social vulnerability and Local Moran's I to evaluate spatial autocorrelation. ResultsIn total, 642 census tracts were analyzed. The median shooting rate was 2.6 per 1000 people (interquartile 0.77, 7.0). When compared to those census tracts with very low SVI, census tracts with low SVI had a 1.7-time increased incident rate of shootings (incidence rate ratio [IRR] 1.74, 95% CI 1.08, 2.81), tracts with moderate SVI had a 3.1-time increased incident rate (IRR 3.07, 95% CI 2.31, 4.10), and tracts with high SVI had a 7-time increased incident rate (IRR 7.03, 95% CI 5.45, 9.07). ConclusionsIn Chicago, social vulnerability has a significant association with rates of firearm violence, providing a focus point for policy intervention to address high rates of interpersonal violence in similar cities.

Development and validation of a community-level social determinants of health index for drug overdose deaths in the HEALing Communities Study

IntroductionSocial determinants of health (SDoH), such as socioeconomic status, education level, and food insecurity, are believed to influence the opioid crisis. While global SDoH indices such as the CDC's Social Vulnerability Index (SVI) and Area Deprivation Index (ADI) combine the explanatory power of multiple social factors for understanding health outcomes, they may be less applicable to the specific challenges of opioid misuse and associated outcomes. This study develops a novel index tailored to opioid misuse outcomes, tests the efficacy of this index in predicting drug overdose deaths across contexts, and compares the explanatory power of this index to other SDoH indices. MethodsFocusing on four HEALing Communities Study (HCS) states (Kentucky, Massachusetts, New York and Ohio; encompassing 4269 ZIP codes), we identified multilevel SDoH potentially associated with opioid misuse and aggregated publicly available data for each measure. We then leveraged a random forest model to develop a composite measure that predicts age-adjusted drug overdose mortality rates based on SDoH. We used this composite measure to understand HCS and non-HCS communities in terms of overdose risk across areas of varying racial composition. Finally, we compared variance in drug overdose deaths explained by this index to variance explained by the SVI and ADI. ResultsOur composite measure included 28 SDoH measures and explained approximately 89 % percent of variance in age-adjusted drug overdose mortality across HCS states. Health care measures, including emergency department visits and primary care provider availability, were top predictors within the index. Index accuracy was robust within and outside of HCS communities and states. This measure identified high levels of overdose mortality risk in segregated communities. ConclusionsExisting SDoH indices fail to explain much variation in area-level overdose mortality rates. Having tailored composite indices can help us to identify places in which residents are at highest risk based on their composite contexts. A comprehensive index can also help to develop effective community interventions for programs such as HCS by considering the context in which people live.

Novel Methods of Identifying Individual and Neighborhood Risk Factors for Loss to Follow-Up After Ophthalmic Screening.

Residence in a middle-class neighborhood correlated with lower follow-up compared with residence in more affluent neighborhoods. The most common explanations for not following up were the process of making an appointment and lack of symptoms. To explore which individual-level and neighborhood-level factors influence follow-up as recommended after positive ophthalmic and primary care screening in a vulnerable population using novel methodologies. From 2017 to 2018, 957 participants were screened for ophthalmic disease and cardiovascular risk factors as part of the Real-Time Mobile Teleophthalmology study. Individuals who screened positive for either ophthalmic or cardiovascular risk factors were contacted to determine whether or not they followed up with a health care provider. Data from the Social Vulnerability Index, a novel virtual auditing system, and personal demographics were collected for each participant. A multivariate logistic regression was performed to determine which factors significantly differed between participants who followed up and those who did not. As a whole, the study population was more socioeconomically vulnerable than the national average (mean summary Social Vulnerability Index score=0.81). Participants whose neighborhoods fell in the middle of the national per capita income distribution had a lower likelihood of follow-up compared with those who resided in the most affluent neighborhoods (relative risk ratio=0.21, P -value<0.01). Participants cited the complicated process of making an eye care appointment and lack of symptoms as the most common reasons for not following up as instructed within 4 months. Residence in a middle-class neighborhood, difficulty accessing eye care appointments, and low health literacy may influence follow-up among vulnerable populations.

Disparities in Breast Cancer Screening Rates Among Adults With and Without Intellectual and Developmental Disabilities.

Individuals with intellectual and developmental disabilities may face barriers in accessing healthcare, including cancer screening and detection services. We sought to assess the association of intellectual and developmental disabilities (IDD) with breast cancer screening rates. Data from 2018 to 2020 was used to identify screening-eligible individuals from Medicare Standard Analytic Files. Adults aged 65-79 years who did not have a previous diagnosis of breast cancer were included. Multivariable regression was used to analyze the differences in breast cancer screening rates among individuals with and without IDD. Among 9,383,349 Medicare beneficiaries, 11,265 (0.1%) individuals met the criteria for IDD. Of note, individuals with IDD were more likely to be non-Hispanic White (90.5% vs. 87.3%), have a Charlson Comorbidity Index score ≤ 2 (66.2% vs. 85.5%), and reside in a low social vulnerability index neighborhood (35.7% vs. 34.4%). IDD was associated with reduced odds of undergoing breast cancer screening (odds ratio (OR) 0.77, 95% confidence interval (CI) 0.74-0.80; p < 0.001). Breast cancer screening rates in individuals with IDD were further influenced by social vulnerability and belonging to a racial/ethnicminority. Individuals with IDD may face additional barriers to breast cancer screening. The combination of IDD and social vulnerability placed patients at particularly high risk of not being screened for breast cancer.

Impact of Social Vulnerability on Diabetes-Related Cardiovascular Mortality in the United States.

Background Social vulnerability impacts the natural history of diabetes as well as cardiovascular disease (CVD). However, there are little data regarding the social vulnerability association with diabetes-related CVD mortality. Methods and Results County-level mortality data (where CVD was the underlying cause of death with diabetes among the multiple causes) extracted from the Centers for Disease Control multiple cause of death (2015-2019) and the 2018 Social Vulnerability Index databases were aggregated into quartiles based on their Social Vulnerability Index ranking from the least (first quartile) to the most vulnerable (fourth quartile). Stratified by demographic groups, the data were analyzed for overall CVD, as well as for ischemic heart disease, hypertensive disease, heart failure, and cerebrovascular disease. In the 5-year study period, 387 139 crude diabetes-related cardiovascular mortality records were identified. The age-adjusted mortality rate for CVD was higher in the fourth quartile compared with the first quartile (relative risk [RR], 1.66 [95% CI, 1.64-1.67]) with an estimated 39 328 excess deaths. Among the youngest age group (<55 years), those with the highest social vulnerability had 2 to 4 times the rate of cardiovascular mortality compared with the first quartile: ischemic heart disease (RR, 2.07 [95% CI, 1.97-2.17]; heart failure (RR, 3.03 [95% CI, 2.62-3.52]); hypertensive disease (RR, 3.79 [95% CI, 3.45-4.17]; and cerebrovascular disease (RR, 4.39 [95% CI, 3.75-5.13]). Conclusions Counties with greater social vulnerability had higher diabetes-related CVD mortality, especially among younger adults. Targeted health policies that are designed to reduce these disparities are warranted.

Do social vulnerability indices correlate with extreme heat health outcomes?

Introduction. Several frameworks exist to measure vulnerability to extreme heat events using a health equity approach, but little evidence validates these measures and their applications. We investigated the degree to which social vulnerability measures and their constituent elements correlate with excess emergency room visits as an outcome measure. Methods. The relationship between six commonly used social vulnerability indicators and measured excess emergency room visit rates (processed by including heat-related illnesses and all-internal causes diagnosis, with considerations for age and heat days) was tested through geospatial analytics and statistical regressions, for both California and Los Angeles County. Results. The vulnerability indicators and the outcome measure were significantly positively associated at the census tract-level but weaker (∼0.2 rs) at the scale of California and stronger (∼0.6 rs) at the scale of Los Angeles County. Hazard-specific vulnerability indicators showed stronger relationships with outcome measures regardless of scale. A Poisson regression model showed a significant inter-county variation, indicating the importance of localized assessments for equitable environmental policies. Conclusion. The findings identify communities that are overburdened by heat and pollution and highlight the need for use of both social vulnerability and indicators of adverse outcomes from excessive heat. Patterns are found across all measures that suggest that populations facing accessibility barriers may be less likely to visit emergency rooms. This suggestion needs to be tested in other environmental settings to draw broader conclusions but has direct implications for environmental scientists and mitigation planners who use these methods.

Barriers and Facilitators to Ophthalmology Visit Adherence in an Urban Hospital Setting.

To explore barriers and facilitators to completing scheduled outpatient appointments at an urban academic hospital-based ophthalmology department. Potential participants were stratified by neighborhood Social Vulnerability Index (SVI) (range, 0-1.0, higher scores indicate greater vulnerability), and semistructured interviews were conducted with individuals 18years and older with an SVI of greater than 0.61 (n = 17) and providers delivering care in the General Eye Clinic of the University of Illinois Chicago (n = 8). Qualitative analysis informed by human-centered design methods was conducted to classify barriers and facilitators into three domains of the Consolidated Framework for Implementation Research: outer setting, inner setting, and characteristics of individuals. There were four main themes-transportation, time burden, social support, and economic situation-all of which were within the outer setting of the Consolidated Framework for Implementation Research; transportation was most salient. Although providers perceived health literacy as a barrier affecting motivation, patients expressed a high motivation to attend visits and felt well-educated about their condition. A lack of resources outside of the health system presents significant barriers for patients from neighborhoods with high SVI. Future efforts to improve adherence should focus on resource-related interventions in the outer setting. Improving access to eye care will require community-level interventions, particularly transportation. Understanding the barriers and facilitators within the Consolidated Framework for Implementation Research provides useful guidance for future interventions, specifically to focus future efforts to improve adherence on resource-related interventions.

Mpox Vaccination and the Role of Social Vulnerability in Durham County, North Carolina, USA.

Disparities in vaccine coverage among groups in the USA is common, possibly due to higher vaccine hesitancy in certain populations, difficulty accessing vaccines, and underlying social vulnerability. The aim of this study was to investigate the association between mpox vaccine administration, social determinants of health, and social vulnerability index (SVI) in Durham County, North Carolina, USA. Random forest regression (RFE) and min-max scaling preprocessing were used to predict mpox vaccinations in Durham County at the census tract level. The top eleven most influential features and their correlations with mpox vaccination were calculated. Non-Hispanic white individuals, males, and those between the ages of 20 and 40 years were overrepresented in mpox vaccine reception in Durham County. Surprisingly, lacking a high school diploma, lacking health insurance, lacking a household vehicle, and living below the poverty line were all positively associated with receiving the mpox vaccine. Being a Black or African American and Hispanic or Latino individual was also positively associated with receiving the mpox vaccine. Vaccine outreach efforts in Durham County, North Carolina, had success in reaching at-risk individuals, including socially vulnerable individuals. Future research should focus more specifically on how social vulnerability relates to vaccine reception for vaccine-preventable diseases.

Incidence of Stomach, Liver, and Colorectal Cancers by Geography and Social Vulnerability Among American Indian and Alaska Native Populations, 2010-2019.

Social determinants of health and associated systems, policies, and practices are important drivers of health disparities. American Indian and Alaska Native (AI/AN) populations in the United States have elevated incidence rates of stomach, liver, and colorectal cancers compared with other racial/ethnic groups. In this study, we examined incidence rates of 3 types of gastrointestinal cancer among non-Hispanic AI/AN (NH-AI/AN) and non-Hispanic White (NHW) populations by geographic region and Social Vulnerability Index (SVI) score. Incident cases diagnosed during 2010-2019 were identified from population-based cancer registries linked with the Indian Health Service patient registration databases. Age-adjusted incidence rates (per 100,000 population) for stomach, liver, and colorectal cancers were compared within NH-AI/AN populations and between the NH-AI/AN and NHW populations by SVI score. Rates were higher among NH-AI/AN populations in moderate- and high-SVI-score counties in Alaska, the Southern Plains, and the East than in low-SVI counties. Incidence rates among NH-AI/AN populations were elevated when compared with NHW populations by SVI category. Results indicated that higher social vulnerability may drive elevated cancer incidence among NH-AI/AN populations. Additionally, disparities between NH-AI/AN and NHW populations persist even when accounting for SVI. Exploring social vulnerability can aid in designing more effective interventions to address root causes of cancer disparities among AI/AN populations.

Trends in Cardiovascular Disease Mortality by County-Level Social Vulnerability Index in the United States.

Background Although cardiovascular mortality(CVM) rates in the United States have been declining overall, our study evaluated whether this holds true for areas with increased social deprivation. Methods and Results We used county-level cross-sectional age-adjusted CVM rates (aa-CVM) (2000-2019) linked to the Centers for Disease Control and Prevention Social Vulnerability Index (SVI-2010). We grouped counties as per SVI (Groups I 0-0.2, II 0.21-0.4, III 0.41-0.6, IV 0.61-0.8, and V 0.81-1) and calculated the relative change in the aa-CVM between 2000 to 2003 and 2016 to 2019. We used adjusted linear regression analyses to explore the association between a higher SVI and temporal aa-CVM improvement; we studied this temporal change in aa-CVM across subgroups of race, sex, and location. The median aa-CVM rate (per 100 000) was 272.6 (interquartile range [IQR]: 237.5-311.7). The aa-CVM was higher in men (315.6 [IQR: 273.4-363.9]) than women (221.3 [IQR: 189.6-256.7]), and in Black residents (347.2 [IQR: 301.1-391.1]; P<0.001) than White residents (258.9 [IQR: 226-299.1]; P<0.001). The aa-CVM for SVI I (233.6 [IQR: 214.8-257.0]) was significantly lower than that of group V (323.6 [IQR: 277.2-359.2]; P<0.001). The relative reduction in CVM was significantly higher for SVI group I (32.2% [IQR: 24.2-38.4]) than group V (27.2% [IQR: 19-34.1]) counties. After multivariable adjustment, a higher SVI index was associated with lower relative improvement in the age-adjusted CVM (model coefficient -3.11 [95% CI, -5.66 to -1.22]; P<0.001). Conclusions Socially deprived counties in the United States had higher aa-CVM rates, and the improvement in aa-CVM over the past 20 years was lower in these counties.

Multidisciplinary Optimal Outcomes Reporting and Team Clinic Retention in Isolated Nonsyndromic Cleft Palate.

Optimal Outcomes Reporting was recently introduced to categorize outcomes after cleft palate repair. We seek to propose an expanded version of Optimal Outcomes Reporting and to determine if correlation exists between the expanded outcomes and persistence with team care follow-up through age 9. Retrospective cohort study. Cleft team at large pediatric hospital. Patients with isolated nonsyndromic cleft palate (n = 83) born from 2001-2012. Patients who continued to present at age 5 or greater were assessed for optimal outcomes. Optimal outcomes were: surgery - no fistula or velopharyngeal insufficiency; otolaryngology - no obstructive sleep apnea or signs of chronic middle ear disease; audiology - no hearing loss; speech-language pathology - no assessed need for speech therapy. Of the 83 patients identified, 41 were assessed for optimal outcomes. Optimal outcome in any discipline was not associated with follow-up through age 9 (0.112 ≤ p ≤ 0.999). For all disciplines, the group with suboptimal outcomes had a higher proportion of patients from geographic areas in the most disadvantaged quartile of social vulnerability index, with the strongest association in the group with suboptimal speech outcome (OR 6.75, 95% CI 0.841-81.1). Optimal outcomes and retention in team clinic were not statistically significantly associated, but clinically relevant associations were found between patients in the most disadvantaged quartile of social vulnerability and their outcomes. A patient-centered approach, including caregiver education about long-term care for patients with cleft palate, would allow for enhanced resource utilization to improve retention for patients of concern.

Comparison of two area-level socioeconomic deprivation indices: Implications for public health research, practice, and policy.

To compare 2 frequently used area-level socioeconomic deprivation indices: the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI). Index agreement was assessed via pairwise correlations, decile score distribution and mean comparisons, and mapping. The 2019 ADI and 2018 SVI indices at the U.S. census tract-level were analyzed. Index correlation was modest (R = 0.51). Less than half (44.4%) of all tracts had good index agreement (0-1 decile difference). Among the 6.3% of tracts with poor index agreement (≥6 decile difference), nearly 1 in 5 were classified by high SVI and low ADI scores. Index items driving poor agreement, such as high rents, mortgages, and home values in urban areas with characteristics indicative of socioeconomic deprivation, were also identified. Differences in index dimensions and agreement indicated that ADI and SVI are not interchangeable measures of socioeconomic deprivation at the tract level. Careful consideration is necessary when selecting an area-level socioeconomic deprivation measure that appropriately defines deprivation relative to the context in which it will be used. How deprivation is operationalized affects interpretation by researchers as well as public health practitioners and policymakers making decisions about resource allocation and working to address health equity.

Brief Report: Ryan White Participation Increased the Prevalence of COVID-19 Vaccination Among People Living with HIV in Michigan.

People living with HIV (PLWH) have higher prevalence of adverse COVID-19 outcomes, and many reside in socially vulnerable communities. Our aim was to evaluate how engagement in HIV care may increase vaccination likelihood. Michigan HIV surveillance data were extracted from the Enhanced HIV/AIDS Reporting System and matched at the person-level to COVID-19 vaccination records from the Michigan Care Improvement Registry (through December 31, 2021 [n = 15,537]). Based on residential census tract, we classified PLWH into quartiles (<25th percentile [least vulnerable], 25th to <50th, 50th to <75th, ≥75th [most vulnerable]) of the 2018 CDC Social Vulnerability Index. Using log binomial regression, we estimated the relative prevalence of COVID-19 vaccine series initiation among PLWH by quartile of social vulnerability and Ryan White participation; models were adjusted for covariates. By December 31, 2021, 67% of PLWH in Michigan had initiated a COVID-19 vaccine series; 47% resided in an area deemed most vulnerable and 54% had participated in Ryan White services. Compared with PLWH in the most vulnerable quartile, those who resided in least vulnerable quartiles had higher prevalence of vaccine initiation (Prevalence Ratio [95% Confidence Interval]: 1.67 [1.50 to 1.86]). Participants in Ryan White had greater prevalence of initiation (1.52 [1.42 to 1.62]) compared with those who were not participants; initiation remained higher when adjusted for covariates including social vulnerability quartile. Ryan White participation was associated with increased COVID-19 vaccine initiation regardless of community-level vulnerability. Wraparound services may be key in vaccine promotion interventions in this vulnerable population.

Social Vulnerability and the Prevalence of Opioid Use Disorder Among Older Medicare Beneficiaries in U.S. Counties.

Recent research has investigated the factors associated with the prevalence of opioid use disorder (OUD) among older adults (65+), which has rapidly increased in the past decade. However, little is known about the relationship between social vulnerability and the prevalence of OUD, and even less is about whether the correlates of the prevalence of OUD vary across the social vulnerability spectrum. This study aims to fill these gaps. We assemble a county-level data set in the contiguous United States (U.S.) by merging 2021 Medicare claims with the CDC's social vulnerability index and other covariates. Using the total number of older beneficiaries with OUD as the dependent variable and the total number of older beneficiaries as the offset, we implement a series of nested negative binomial regression models and then analyze by social vulnerability quartiles. Higher social vulnerability is associated with higher prevalence of OUD in U.S. counties. This association cannot be fully explained by the differences in the characteristics of older Medicare beneficiaries (e.g., average age) and/or other social conditions (e.g., social capital) across counties. Moreover, the group comparison tests indicate correlates of the prevalence of OUD vary across social vulnerability quartiles in that the average number of mental disorders is positively related to OUD prevalence in the least and the most vulnerable counties and social capital benefits the less vulnerable counties. A perspective drawing upon contextual factors, especially social vulnerability, may be more effective in reducing OUD among older adults in U.S. counties than a one-size-fits-all approach.