Geographic Disparities in Access to Agencies Providing Income-Related Social Services

Exploring the varied manifestations of structural violence in the lives of children on the autism spectrum and their families: a qualitative longitudinal study in Kurdistan, Iran

BACKGROUND

There are many dimensions regarding autism that are closely connected to social structures, policies, and power dynamics, silently impacting the well-being of individuals within the autism spectrum. This research aims to explore these overlooked aspects using a theoretical framework called "structural violence."

METHODS

The study was conducted in Kurdistan, Iran, and a qualitative longitudinal approach was chosen. A purposive sampling method was employed to select the participants, with 11 parents taking part. The study data comprised 29 interviews using a topic guide conducted over a span of 2 years. Thematic analysis and a matrix-based approach were utilized for data analysis. To enhance the scientific rigor of this research, four criteria, including Guba and Lincoln's principles, were implemented to ensure methodological accuracy.

RESULTS

The research findings highlight four primary forms through which structural violence impacts children on the autism spectrum and their families: access to healthcare, geographic disparities, awareness and stigma, and poverty and financial burden. Additionally, the study identified 11 subthemes related to structural violence in the context of autism and families.

CONCLUSIONS

We illustrated how structural forces create barriers to accessing adequate healthcare services, exacerbate discrimination based on ethnicity and geography, perpetuate stigma, and contribute to poverty and the inability to meet basic needs. These factors not only worsen health issues but also deepen existing disparities in healthcare access and outcomes for children on the autism spectrum and families. We emphasize the urgent need for systemic changes to address these issues. It is essential to promote public awareness, provide better access to health and support services, and address economic and political factors that contribute to these inequalities.

Spatial analysis of community service availability in rural Kentucky, United States

This study examined community service provider (CSP) availability relative to neighborhood socioeconomic status and its association with health-related social needs in Eastern Kentucky, United States. We used GIS methods to generate 10-mile network service areas around addresses of 736 CSPs and 10,161 Medicaid and Medicare beneficiaries screened August 2018-April 2020 in 27-county study region. We observed wide variation in CSP availability and an inverse relationship between CSP availability and rates of unemployment, poverty, and federal Supplemental Nutrition Assistance Program. The CSPs appear to have higher availability in more affluent census block groups. We found a statistically significant negative relationship between CSP availability within 10 miles of a beneficiary's resident and the presence of food, housing, transportation needs. Our findings suggest that healthcare providers, government entities, and non-profit organizations should consider geographic accessibility to those most in need when making referral and funding decisions, particularly in rural communities.

Addressing patient’s unmet social needs: disparities in access to social services in the United States from 1990 to 2014, a national times series study

Background

To address patient’s unmet social needs and improve health outcomes, health systems have developed programs to refer patients in need to social service agencies. However, the capacity to respond to patient referrals varies tremendously across communities. This study assesses the emergence of disparities in spatial access to social services from 1990 to 2014.

Methods

Social service providers in the lower 48 continental U.S. states were identified annually from 1990 to 2014 from the National Establishment Times Series (NETS) database. The addresses of providers were linked in each year to 2010 US Census tract geometries. Time series analyses of annual counts of services per Km² were conducted using Generalized Estimating Equations with tracts stratified into tertiles of 1990 population density, quartiles of 1990 poverty rate and quartiles of 1990 to 2010 change in median household income.

Results

Throughout the period, social service agencies/Km² increased across tracts. For high population density tracts, in the top quartile of 1990 poverty rate, compared to tracts that experienced the steepest declines in median household income from 1990 to 2010, tracts that experienced the largest increases in income had more services (+ 1.53/Km², 95% CI 1.23, 1.83) in 1990 and also experienced the steepest increases in services from 1990 to 2010: a 0.09 services/Km²/year greater increase (95% CI 0.07, 0.11). Similar results were observed for high poverty tracts in the middle third of population density, but not in tracts in the lowest third of population density, where there were very few providers.

Conclusion

From 1990 to 2014 a spatial mismatch emerged between the availability of social services and the expected need for social services as the population characteristics of neighborhoods changed. High poverty tracts that experienced further economic decline from 1990 to 2010, began the period with the lowest access to services and experienced the smallest increases in access to services. Access was highest and grew the fastest in high poverty tracts that experienced the largest increases in median household income. We theorize that agglomeration benefits and the marketization of welfare may explain the emergence of this spatial mismatch.

Exploring the Relationship Between Community Program Location and Community Needs

INTRODUCTION

Health behaviors, mental health, and social needs impact health, but addressing these needs is difficult. Clinicians can partner with community programs to provide patients support. The relationship between program location and community need is uncertain.

METHODS

We identified and geolocated community programs in Richmond, Virginia, that aid with 9 domains of needs (mental health, smoking, unhealthy alcohol use, nutrition, physical activity, transportation, financial, housing, food insecurity). For each census tract, we identified needs from public data sources. We used 2 methods to compare program location and need: (1) hotspot analysis and (2) a negative binomial regression model.

RESULTS

We identified 280 community programs that provide aid for the 9 domains. Programs most often provided financial assistance (n = 121) and housing support (n = 73). The regression analysis showed no relationship between the number of community programs and the level of need in census tracts, with 2 exceptions. There was a positive association between financial programs and financial need and a negative association between housing programs and housing need.

CONCLUSIONS

Community programs are generally not colocated with need. This poses a barrier for people who need help addressing these domains.

Geospatial Analysis of Food Deserts and Their Impact on Health Outcomes in Children with Cystic Fibrosis

Food insecurity (FI) is defined as "the limited or uncertain access to adequate food." One root cause of FI is living in a food desert. FI rates among people with cystic fibrosis (CF) are higher than the general United States (US) population. There is limited data on the association between food deserts and CF health outcomes. We conducted a retrospective review of people with CF under 18 years of age at a single pediatric CF center from January to December 2019 using demographic information and CF health parameters. Using a Geographic Information System, we conducted a spatial overlay analysis at the census tract level using the 2015 Food Access Research Atlas to assess the association between food deserts and CF health outcomes. We used multivariate logistic regression analysis and adjusted for clinical covariates and demographic covariates, using the Child Opportunity Index (COI) to calculate odds ratios (OR) with confidence intervals (CI) for each health outcome. People with CF living in food deserts and the surrounding regions had lower body mass index/weight-for-length (OR 3.18, 95% CI: 1.01, 9.40, p ≤ 0.05 (food desert); OR 4.41, 95% CI: 1.60, 12.14, p ≤ 0.05 (600 ft buffer zone); OR 2.83, 95% CI: 1.18, 6.76, p ≤ 0.05 (1200 ft buffer zone)). Food deserts and their surrounding regions impact pediatric CF outcomes independent of COI. Providers should routinely screen for FI and proximity to food deserts. Interventions are essential to increase access to healthy and affordable food.

Van Houtven C, Cornell P, Aron D, M. Dosa D, M. Allen S. Inequities in access to VA'S aid and attendance enhanced pension benefit to help Veterans pay for long-term care

OBJECTIVE

To examine characteristics that are associated with receipt of Aid and Attendance (A&A), an enhanced pension benefit for Veterans who qualify on the basis of needing daily assistance, among Veterans who receive pensions.

DATA SOURCES

Secondary data analysis of 2016-2017 national VA administrative data linked with Medicare claims.

STUDY DESIGN

Observational study examining sociodemographic, medical, and healthcare utilization characteristics associated with receipt of A&A among Veterans receiving pension.

PRINCIPAL FINDINGS

In 2017, 9.7% of Veterans with pension newly received the A&A benefit. The probability of receiving A&A among black and Hispanic pensioners was 4.6 percentage points lower than for white pensioners (95%CI = -0.051, -0.042). Married Veterans receiving pension had a 4.4-percentage point higher probability of receiving A&A (95%CI = 0.039, 0.048). Most indicators of need for assistance (eg, home health utilization, dementia, stroke) were associated with significantly higher probabilities of receiving A&A, with notable exceptions: pensioners with a diagnosis of Post-Traumatic Stress Disorder (marginal effect = -0.029 95%CI = -0.037, -0.021) or enrolled in Medicaid (marginal effect = -0.053, 95%CI = -0.057, -0.050) had lower probabilities of receiving A&A. Unadjusted and adjusted rates of receiving A&A among Veterans receiving pension varied by VA medical center.

CONCLUSIONS

This study identified potential inequities in receipt of the A&A enhanced pension among a sample of Veterans receiving pension. Increased Veteran outreach, provider education, and VA office coordination can potentially reduce inequities in access to this benefit.

Association between access to social service resources and cardiometabolic risk factors: a machine learning and multilevel modeling analysis

OBJECTIVES

Interest in linking patients with unmet social needs to area-level resources, such as food pantries and employment centres in one's ZIP code, is growing. However, whether the presence of these resources is associated with better health outcomes is unclear. We sought to determine if area-level resources, defined as organisations that assist individuals with meeting health-related social needs, are associated with lower levels of cardiometabolic risk factors.

DESIGN

Cross-sectional.

SETTING

Data were collected in a primary care network in eastern Massachusetts in 2015.

PARTICIPANTS AND PRIMARY AND SECONDARY OUTCOME MEASURES

123 355 participants were included. The primary outcome was body mass index (BMI). The secondary outcomes were systolic blood pressure (SBP), low-density lipoprotein (LDL) cholesterol and haemoglobin A1c (HbA1c). All participants were included in BMI analyses. Participants with hypertension were included in SBP analyses. Participants with an indication for cholesterol lowering were included in LDL analyses and participants with diabetes mellitus were included in HbA1c analyses. We used a random forest-based machine-learning algorithm to identify types of resources associated with study outcomes. We then tested the association of ZIP-level selected resource types (three for BMI, two each for SBP and HbA1c analyses and one for LDL analyses) with these outcomes, using multilevel models to account for individual-level, clinic-level and other area-level factors.

RESULTS

Resources associated with lower BMI included more food resources (-0.08 kg/m² per additional resource, 95% CI -0.13 to -0.03 kg/m²), employment resources (-0.05 kg/m², 95% CI -0.11 to -0.002 kg/m²) and nutrition resources (-0.07 kg/m², 95% CI -0.13 to -0.01 kg/m²). No area resources were associated with differences in SBP, LDL or HbA1c.

CONCLUSIONS

Access to specific local resources is associated with better BMI. Efforts to link patients to area resources, and to improve the resources landscape within communities, may help reduce BMI and improve population health.

Characterizing the influence of transportation infrastructure on Emergency Medical Services (EMS) in urban area-A case study of Seoul, South Korea

In highly urbanized area where traffic condition fluctuates constantly, transportation infrastructure is one of the major contributing factors to Emergency Medical Service (EMS) availability and patient outcome. In this paper, we assess the impact of traffic fluctuation to the EMS first response availability in urban area, by evaluating the k-minute coverage under 21 traffic scenarios. The set of traffic scenarios represents the time-of-day and day-of-week effects, and is generated by combining road link speed information from multiple historical speed databases. In addition to the k-minute area coverage calculation, the k-minute population coverage is also evaluated for every 100m by 100m grid that partitions the case study area of Seoul, South Korea. In the baseline case of traveling at the speed limit, both the area and population coverage reached nearly 100% when compared to the five-minute travel time national target. Employing the proposed LoST (Loss of Serviceability due to Traffic) index, which measures coverage reduction in percentage compared to the baseline case, we find that the citywide average LoST for area and population coverage are similar at 34.2% and 33.8%. However, district-wise analysis reveals that such reduction varies significantly by district, and the magnitude of area and population coverage reduction is not always proportional. We conclude that the effect of traffic variation is significant to successful urban EMS first response performance, and regional variation is evident among local districts. Complexity in the urban environment requires a more adaptive approach in public health resource management and EMS performance target determination.