Stable Housing Research Articles

The prevalence of adolescent problem gambling: examining sociodemographic risk factors in New Mexico

ABSTRACT Problem gambling in adolescence can lead to significant negative consequences, yet few studies have examined the prevalence and risk factors among diverse youth populations. This study investigated gambling and related non-gambling activities and sociodemographic correlates of problem gambling in 2,533 high-school students in New Mexico aged 12–18 years (mean age 15.6), with an approximately equal gender distribution (49.3% male, 49.3% female, 1.4% unspecified). Overall, 3% screened positive for problem gambling, with higher rates among males (3.9%) than females (2.1%), Native American (4.5%), and Hispanic (3.3%) versus white (1.5%) students. In-person activities were more common than online activities for both gambling and non-gambling activities. Substance use behaviors, including binge drinking, e-cigarette, marijuana, and prescription painkiller use, were more prevalent among people with gambling problems. Controlling for demographics, the interaction between Hispanic ethnicity and past 30-day binge drinking was positively associated with problem gambling. A risk score combining substance use and housing instability also positively predicted problem gambling. These findings demonstrate sociodemographic and substance use risk factors for problem gambling among New Mexico adolescents. The study highlights the importance of considering diverse ethnic backgrounds and co-occurring risk behaviors in developing targeted prevention and intervention strategies for adolescent problem gambling across various cultural contexts.

Associations between people experiencing homelessness (PEH) and neurodegenerative disorders (NDDs): A systematic review and meta-analysis.

Homelessness represents a widespread social issue globally, yet the risk of neurodegenerative diseases (NDDs) associated with people experiencing homelessness (PEH) has not received sufficient attention. Therefore, this study aimed to explore the risk of NDDs among PEH and its variation across countries and regions through meta-analysis and systematic review. Searching from databases such as PubMed and Web of Science, relevant research articles on PEH and NDDs were identified. After multiple screening, eight articles were selected for meta-analysis. Statistical methods and models were used to evaluate the association between PEH and NDDs, stratified by disease type and country. We found that PEH had a 51% higher risk of NDDs (OR = 1.51 (95% CI: 1.21, 1.89)) compared with those with stable housing. Specifically, PEH had a significantly higher risk of developing multiple sclerosis (OR = 4.64 (95% CI: 1.96, 10.98)). Alzheimer's disease and related dementias (ADRD) (OR = 1.93 (95% CI: 1.34, 2.77)), dementia (OR = 1.69 (95% CI: 1.26, 2.27)), and cognitive impairment (OR = 1.07 (95% CI: 0.98, 1.16)) were all at higher risk. Furthermore, country and regional differences were observed, with countries such as Iran (OR = 4.64 (95% CI: 1.96, 10.98)), the Netherlands (OR = 2.14 (95% CI: 1.23, 3.73)), the United States (OR = 1.66 (95% CI: 1.25, 2.22)), and Canada (OR = 1.06 (95% CI: 1.01, 1.10)) showing a higher risk of NDDs among the PEH. The study emphasizes the significant NDD risks among PEH, providing novel perspectives on this issue and shedding light on national disparities influenced by variations in healthcare systems and social environments. This will be beneficial for academia and government to prioritize the health of PEH with NDDs, aiming to mitigate disease incidence and economic burdens while preserving social stability and upholding basic human rights.

Pathways to Eviction

Abstract Over the past several years, socio-legal researchers have focused attention on the phenomenon of eviction, particularly in low-income communities and communities of color. One major aspect of the eviction phenomenon has been largely overlooked: how and why certain eviction filings result in forced, legally compelled tenant moves and others do not. Through coding of the legal documents associated with eviction filings and multi-level regression analysis, this article advances the analysis of evictions in two crucial ways. First, it identifies and describes the frequency of the distinct legal procedural pathways that result in forced tenant moves once an eviction case has been filed. Second, it identifies the case, tenancy, neighborhood, and property correlates of forced tenant moves and of distinct procedural pathways to forced tenant moves. The article demonstrates that move-out agreements are the primary procedural pathway by which tenants are forcibly moved, yet they have been largely overlooked in previous eviction research because they are not easily analyzable in administrative datasets. The regression analyses advance the growing work examining the role of landlord characteristics in shaping tenants’ housing stability and break new ground in identifying the characteristics of the different pathways through which tenants are forced out of their homes following eviction filing.

Contraceptive Use and Its Associations With Social Determinants of Health Among Young Adults.

Nonuse and inconsistent use of contraception in young adults can result in undesired pregnancies. Prior research on contraceptive use has primarily focused on individual influences such as attitudes, beliefs, and skills related to contraceptive use, with little consideration of the social and economic determinants. This study explored domains from the Healthy People 2030 Social Determinants of Health (SDH) framework and examined their cross-sectional associations with young adults' self-reported contraceptive use (ie, any use in the past year and consistent use of contraception). Eleven measures related to 5 SDH domains were extracted from the Add Health dataset collected from 2001 to 2002 (Wave III). The final sample included 11,172 youth with a mean age of 21.88 years (SD: 1.84) and was 53.8% female. Measures associated with the past year's use of contraceptives included non-poverty status, employment, housing instability, high school graduation, enrollment in higher education, English language spoken at home, experience of civic participation, and access to primary care. For consistent use of contraception, associated measures were participants' non-poverty status, employment, high school graduation, enrollment in higher education, English language spoken at home, experience of civic participation, incarceration, and access to health care. Interventions that address social determinants of health can potentially promote contraceptive use.

Isolation to stabilization: A Housing First approach to address homelessness in Kingston, Ontario.

Homelessness is a significant and growing public health concern across Canada. In Kingston, Ontario, the number of people experiencing chronic homelessness has more than doubled from 136 people in 2020 to 296 in 2023. An emergency shelter-in-place hotel program was established in April 2020 to provide non-congregate shelter to people experiencing homelessness and vulnerable to SARS-CoV-2 infections. Beyond preventing COVID transmission, the unintentional consequence was that a population that experienced chronic homelessness reduced drug consumption and became stable. In 2022, with increased funding from the Ministry of Health and the City of Kingston, a new Housing First program was implemented to transition individuals from homelessness to long-term stable housing. Between November 2022 and June 2023, a total of 34 clients initiated the program. Of these clients, 10 completed the program and were successfully housed, 10 remained active participants, and 14 were discharged before completion. Strengths and challenges were identified. Diverse services provided to meet the population's needs and strong collaborations with various community partners were facilitating factors. Inadequate external resources, a lack of evening and prosocial activities, and outside peers (not part of the program) who influenced recovery plans were identified as challenges. This program illustrates that simultaneously integrating housing, community building, mental health, and addiction services is possible and provides an innovative way to stabilize this vulnerable population of people experiencing homelessness. Results from this program and the knowledge generated through implementation are being used to further scale up the program.

Housing instability amongst takatāpui and LGBTIQ+ people in Aotearoa New Zealand

AbstractAlthough awareness and understanding of LGBTIQ+ people's experiences of homelessness are rising, their broader housing experiences remain under‐researched. This paper uses qualitative interview data to explore takatāpui and LGBTIQ+ people's experiences of housing instability in Aotearoa New Zealand. In expanding the focus to housing instability, this paper explores how LGBTIQ+ people experience and navigate the housing system, which sheds light on the upstream factors that contribute to the disproportionately high rates of homelessness amongst LGBTIQ+ communities worldwide. A reflexive thematic analysis of the data generated four themes to takatāpui and LGBTIQ+ people's experiences of housing instability; personal experiences are political, survival within inequitable systems is nuanced, instability is relational, and selfhood is mediated through instability. These results highlight the impact of policy and structural failures on LGBTIQ+ communities.

Haves and have-nots: socioeconomic position improves accuracy of machine learning algorithms for predicting high-impact chronic pain.

Lower socioeconomic position (SEP) is associated with increased risk of developing chronic pain, experiencing more severe pain, and suffering greater pain-related disability. However, SEP is a multidimensional construct; there is a dearth of research on which SEP features are most strongly associated with high-impact chronic pain, the relative importance of SEP predictive features compared to established chronic pain correlates, and whether the relative importance of SEP predictive features differs by race and sex. This study used 3 machine learning algorithms to address these questions among adults in the 2019 National Health Interview Survey. Gradient boosting decision trees achieved the highest accuracy and discriminatory power for high-impact chronic pain. Results suggest that distinct SEP dimensions, including material resources (eg, ratio of family income to poverty threshold) and employment (ie, working in the past week, number of working adults in the family), are highly relevant predictors of high-impact chronic pain. Subgroup analyses compared the relative importance of predictive features of high-impact chronic pain in non-Hispanic Black vs White adults and men vs women. Whereas the relative importance of body mass index and owning/renting a residence was higher for non-Hispanic Black adults, the relative importance of working adults in the family and housing stability was higher for non-Hispanic White adults. Anxiety symptom severity, body mass index, and cigarette smoking had higher relevance for women, while housing stability and frequency of anxiety and depression had higher relevance for men. Results highlight the potential for machine learning algorithms to advance health equity research.

Supporting medication-assisted recovery in recovery residences: staff support, managing built environment threats, and building a supportive network

ABSTRACT Background: While medications for opioid use disorder (MOUD) are effective in reducing overdoses, widespread adoption and implementation of MOUD remains inadequate. Innovative approaches to promote MOUD use and to support people in their medication-assisted recovery (MAR) are needed. Recovery residences that serve people taking MOUD are steadily growing in number, yet little is known about how MOUD and the MAR pathway is promoted within the recovery residence setting. Objectives: The purpose of this qualitative analysis was to describe how recovery residences facilitate MOUD initiation and support residents’ MAR pathway. Methods: We conducted interviews with 93 residents (59.1% male; 38.7% female) living in recovery residences located in five Texas cities that served people taking medication for opioid use disorder. Results: We found that recovery residence staff addressed linkage to care gaps in their communities by connecting people who might benefit from MOUD to appropriate providers. Recovery residence staff also strengthened participants’ community of MAR-supportive peers by hosting or connecting residents to Medication-Assisted Recovery Anonymous meetings. Additionally, recovery residences helped some residents overcome common logistical barriers (e.g. transportation issues, housing instability, distance to providers) that hinder MOUD access. Conclusion: Recovery residences that serve people taking MOUD are a well-positioned recovery support service to promote MOUD initiation and the MAR pathway.

Age-Related Variation in Ecological Resources Among Veterans Seeking Treatment Related to Military Sexual Trauma.

Approximately 16% of Veterans experience military sexual trauma (MST), defined as sexual assault or harassment experienced during military service. Veterans across life stages may possess differing resources and face unique stressors that impact their ability to engage in mental health treatment or require additional liaison to services. The present study sought to characterize age-related differences in the socioecological contexts of Veterans seeking mental health treatment following MST in the domains of economic sufficiency, housing, spiritual coping, supportive relationships, and interpersonal violence. From 2009 to 2019, Veterans (N = 640) seeking mental health services following exposure to MST attended evaluation and treatment planning sessions at a Midwestern Veterans Health Administration posttraumatic stress disorder specialty clinic. Veterans completed semistructured interviews that included surveys and diagnostic screenings to assess psychosocial needs and resources. ANOVA and ordinal regressions were used to evaluate potential disparities in socioecological resources by age. No age-related differences in economic sufficiency and stable housing emerged, though most Veterans (57%) endorsed financial difficulties. Veterans who endorsed spiritual beliefs were significantly older than those who did not. Veterans who reported having a support system were significantly younger than Veterans who denied having a support system. Less than half (46%) of Veteran reported having peer relationships. Veterans who endorsed frequent interaction with their peers were significantly older than those who did not. Veterans who reported past-year exposure to interpersonal violence were significantly younger. Greater clarity about age-related differences in the socioecological contexts of Veterans can support clinicians in providing responsive mental health treatment and connecting Veterans to additional Veterans Health Administration resources following MST.

Social Determinants of Health and Risk-Adjusted Sepsis Mortality in the Nationwide Veterans Affairs Healthcare System.

Traditional risk prediction and risk adjustment models have focused on clinical characteristics, but accounting for social determinants of health (SDOH) and complex health conditions could improve understanding of sepsis outcomes and our ability to predict outcomes, treat patients, and assess quality of care. To evaluate the impact of SDOH and health scales in sepsis mortality risk prediction and hospital performance assessment. Observational cohort study. One hundred twenty-nine hospitals in the nationwide Veterans Affairs (VA) Healthcare System between 2017 and 2021. Veterans admitted through emergency departments with community-acquired sepsis. Individual- and community-level SDOH (race, housing instability, marital status, Area Deprivation Index [ADI], and rural residence) and two health scales (the Care Assessment Need [CAN] score and Claims-Based Frailty Index [CFI]). The primary outcome was 90-day mortality from emergency department arrival; secondary outcomes included 30-day mortality and in-hospital mortality. Among 144,889 patients admitted to the hospital with community-acquired sepsis, 139,080 were men (96.0%), median (IQR) age was 71 (64-77) years, and median (IQR) ADI was 60 (38-81). Multivariable regression models had good calibration and discrimination across models that adjusted for different sets of variables (e.g., AUROC, 0.782; Brier score, 1.33; and standardized mortality rate, 1.00). Risk-adjusted hospital performance was similar across all models. Among 129 VA hospitals, three hospitals shifted from the lowest or highest quintile of performance when comparing models that excluded SDOH to models that adjusted for all variables. Models that adjusted for ADI reported odds ratios (CI) of 1.00 (1.00-1.00), indicating that ADI does not significantly predict sepsis mortality in this cohort of patients. In patients with community-acquired sepsis, adjusting for community SDOH variables such as ADI did not improve 90-day sepsis mortality predictions in mortality models and did not substantively alter hospital performance within the VA Healthcare System. Understanding the role of SDOH in risk prediction and risk adjustment models is vital because it could prevent hospitals from being negatively evaluated for treating less advantaged patients. However, we found that in VA hospitals, the potential impact of SDOH on 90-day sepsis mortality was minimal.

Combined Diabetes Education/Skills Training and Social Needs Resolution Intervention for Older African Americans with Poorly Controlled Type 2 Diabetes (DM Social Needs): Study Protocol for a Randomized Controlled Trial.

Approximately 11.3% of the US population has diabetes. The burden of diabetes is higher in older adults and African Americans (AAs), such that 40% of adults aged 50 years and older have diabetes; African Americans are 60% more likely to be diagnosed with diabetes compared to non-Hispanic Whites (NHWs). Structural racism has resulted in fewer economic and educational opportunities for AAs, higher social risks, and unmet basic needs, which result in financial instability, housing instability, food insecurity, and a lack of transportation compared to NHWs. The presence of these unmet basic needs is a driver of poor adherence to diabetes self-management in older AAs. To test the preliminary efficacy of a nurse case-manager, telephone-delivered intervention that provides foundational diabetes self-management education and skills training, while also addressing and resolving the unmet social needs of older AAs with poorly controlled type 2 diabetes mellitus (T2DM). The primary hypothesis is that older AAs with T2DM randomized to the DM Social Needs intervention will have significantly lower hemoglobin A1C (HbA1C), blood pressure, and LDL levels compared to the usual care arm at 6 months post randomization. This is a three-year prospective, randomized clinical trial that will enroll 100 AAs aged 50 and older with type 2 diabetes (T2DM) and HbA1C ≥ 8% into one of the following two groups: (1) a nurse case-manager, telephone-delivered intervention that provides foundational diabetes self-management education and skills training, but also addresses and resolves unmet social needs; or (2) an enhanced usual care group that will receive mailed diabetes education materials. Participants will be followed for 6 months to determine the effect of the intervention on HbA1C, blood pressure, and low-density lipoprotein (LDL) cholesterol levels. Baseline characteristics will be presented by study group, and within- and between-group changes in primary outcomes from baseline to 6 months will be reported. The results from this study will provide insights into the efficacy of a combined diabetes education and skills training and social needs resolution intervention for older African Americans with poorly controlled type 2 diabetes and will inform strategies to improve diabetes outcomes for this vulnerable population.

A fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes.

Racial and ethnic minorities bear a disproportionate burden of type 2 diabetes (T2D) and its complications, with social determinants of health (SDoH) recognized as key drivers of these disparities. Implementing efficient and effective social needs management strategies is crucial. We propose a machine learning analytic pipeline to calculate the individualized polysocial risk score (iPsRS), which can identify T2D patients at high social risk for hospitalization, incorporating explainable AI techniques and algorithmic fairness optimization. We use electronic health records (EHR) data from T2D patients in the University of Florida Health Integrated Data Repository, incorporating both contextual SDoH (e.g., neighborhood deprivation) and person-level SDoH (e.g., housing instability). After fairness optimization across racial and ethnic groups, the iPsRS achieved a C statistic of 0.71 in predicting 1-year hospitalization. Our iPsRS can fairly and accurately screen patients with T2D who are at increased social risk for hospitalization.

Housing instability increases for stimulant-involved overdose deaths after linking surveillance data to electronic health records in Kentucky

BackgroundAccording to the U.S. Centers for Disease Control and Prevention, approximately 10.2 % of fatal overdoses in 2022 were among people experiencing homelessness or housing instability. In the United States, the majority of all drug overdoses now involve stimulants. MethodsWe linked stimulant-involved fatal overdose records occurring between 2017 and 2021 from Kentucky’s Drug Overdose Fatality Surveillance System to the electronic health records (EHR) of the state’s largest safety-net hospital network. We used State Unintentional Drug Overdose Reporting System (SUDORS) definitions of homelessness or housing instability to establish baseline estimates before linking decedents to medical records. After linkage, we augmented SUDORS data with structured administrative billing codes, semi-structured address data, and unstructured clinical notes identifying homelessness from the EHR. ResultsThere were 313 individuals with stimulant-involved fatal overdoses linked to at least one medical encounter in the EHR (2017–2021). Thirty-three individuals (10.5 %) were identified as having unstable housing according to SUDORS. After linkage, 130 individuals (41.5 %) had evidence of housing instability. For this period, these 313 individuals represent 8.0 % of stimulant-involved overdoses in KY or 38.5 % of stimulant-involved overdoses from residents of the primary and secondary catchment area of our healthcare network. ConclusionsThe single-site increase in observed housing instability in stimulant-involved fatal overdoses suggests that increased data linkage between state medicolegal death investigation system and EHRs would significantly improve the public health surveillance of overdoses.

Narratives from Staff at an LGBTQIA+ Shelter: Applying Ecological Systems Theory to a Homelessness Intervention in Cape Town, South Africa

Internationally, LGBTQIA+ people are at increased risk of homelessness and housing instability. Literature on this topic emerging from the Global South has been less prominent. This article explores LGBTQIA+ homelessness in Cape Town, South Africa. Cape Town is a unique local context, given the post-apartheid political landscape and prevalent negative attitudes towards LGBTQIA+ people in South Africa. Grounded in the ecological systems theory, this article explores staff perspectives about emergency shelter interventions with the population of LGBTQIA+ people experiencing homelessness. An international team of scholars coordinated this research effort to interview staff at an LGBTQIA+ focused shelter in Cape Town. Interview data were analysed using narrative analysis strategies. Results show that the shelter seeks to provide a safe and structured environment for LGBTQIA+ people who may have experienced family rejection, educational or economic challenges and mental health concerns. Researchers recommend that there be a shift in focus to macro socio-economic forces when considering LGBTQIA+ homelessness. Researchers also discuss the need for more robust social work training for staff of shelters who serve this vulnerable and resilient population.

Pathways to social integration among homeless-experienced adults with serious mental illness: a qualitative perspective

BackgroundSocial integration (i.e., reciprocal interactions with peers and community members) is a notable challenge for many homeless-experienced adults with serious mental illness (SMI). In this study, we examine a range of housing services offered to homeless-experienced adults with SMI and identify the impacts of supportive services on participants’ social integration outcomes, with the goal of improving services in transitional and permanent housing settings for homeless-experienced adults with SMI.MethodsThrough semi-structured interviews with homeless-experienced adults with SMI (n = 30), we examine the impacts of housing and service settings on participants’ social integration. Participants received services in a variety of housing settings, including transitional housing with congregate/shared living (n = 10), transitional housing with individual quarters (n = 10), and permanent supportive housing (n = 10).ResultsParticipants expressed caution in developing social relationships, as these could pose barriers to recovery goals (e.g., substance use recovery). For many, social integration was secondary to mental and physical health and/or housing stability goals. Individual quarters gave individuals a place of respite and a sense of control regarding when and with whom they socialized. Meeting recovery goals was strongly related to connecting to and receiving a range of supportive services; interviews suggest that proximity to services was critical for engagement in these resources.ConclusionsPrograms serving homeless experienced adults with SMI should seek to understand how individuals conceptualize social integration, and how social relationships can either support or hinder participants’ recovery journey.

Associations Between Infant Formula Exposure, Housing Instability and Postneonatal Mortality Among Participants in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC).

To quantify infant mortality rates (IMR) using expanded racial categories, and to examine associations between infant formula exposure, housing instability and postneonatal mortality among Minnesota WIC Participants. Births in Minnesota from 2014 through 2019 (n = 404,102) and associated infant death records (n = 2034) were used to calculate neonatal and postneonatal rates using expanded racial categories. Those births that participated in the WIC program (n = 170,011) and their linked death records (n = 853) were analyzed using logistic regression to examine associations between formula exposure, housing instability, and postneonatal death. Postneonatal IMR was more than twice as prevalent among Black (African American) as East African immigrant infants (IMR = 3.9 vs 1.5). After adjustment for confounding (term status and nativity of mother (U.S. vs foreign born), infants exposed to formula by 28days were four times as likely to die in the postneonatal period as those without formula exposure (aOR = 4.0; 95% CI 3.2-4.9). WIC participants who experienced housing instability at birth were 1.7 times as likely to lose an infant in the postneonatal period (28 to 364days of age) as those in stable housing (aOR = 1.7; 95% CI 1.2, 2.4). Disaggregating Black mortality rates revealed inequities in infant mortality among Black families of varied backgrounds. Formula exposure and housing instability are modifiable risk factors associated with postneonatal mortality. Appropriate interventions to reduce barriers to breastfeeding and provide housing stability for vulnerable families could reduce disparities in postneonatal mortality.

Characterizing health-related social needs and their association with medication adherence in a diverse cohort of patients with breast cancer.

139 Background: Food insecurity, housing instability, and transportation challenges are modifiable health-related social needs (HRSN) that have been associated with worse health outcomes in patients with cancer. Nonadherence to medications is also associated with decreased survival and other poor outcomes. Less is known about the association between HRSN and medication adherence in this patient population. Methods: We implemented screening for HRSN among breast oncology patients at our urban academic medical center, primarily through the electronic patient portal. Patients were offered an 8-item HRSN survey with questions covering food insecurity, housing, transportation needs, and emergency department visits. Any level of food hardship, housing instability, or transportation challenges reported during the study period (11/2/22-4/20/24) constituted a positive screen for that HRSN. We also screened patients for nonadherence to medications (any medication) using the 3-item DOSE-Nonadherence questionnaire. Pearson's Chi-squared tests and univariate logistic regressions were used to compare differences between subsets. Results: During the 18-month study period, 2945 patients completed at least 1 item on the HRSN questionnaire, of which 765 (26.0%) screened positive for at least 1 HRSN. Among patients who responded to each HRSN domain, 555/2820 (19.7%) screened positive for food insecurity, 374/2650 (14.1%) for housing instability, and 255/2656 (9.6%) for transportation needs. Food-insecure patients also reported more housing (43.1% v 5.6%, p<0.001) and transportation needs (27.7% v 4.0%, p<0.001) compared to food-secure patients. When comparing the cohort of patients who screened positive for at least 1 HRSN vs those who screened negative, there was a higher proportion of Hispanics (55.3% vs 25.1%, p<0.001), non-Hispanic Blacks (15.3% v 10.0%, p<0.001), and Spanish speakers (41.2% v 17.2%, p<0.001). Patients with any HRSN were more likely to self-report medication nonadherence compared to those with a negative HRSN screen (44.2% v 35.3%, OR 1.45, 95% CI 1.18-1.79). When looking at each individual HRSN domain, food-insecure patients were more likely to self-report medication nonadherence than food-secure patients (45.9% v 35.9%, OR 1.51, CI 1.19-1.92); this was also true for patients with housing instability (45.7% v 36.4%, OR 1.47, CI 1.12-1.92) and transportation needs (49.1% v 36.5%, OR 1.68, CI 1.23-2.31). Conclusions: More than a quarter of breast cancer patients self-reported at least 1 HRSN, with food insecurity being most frequently reported. Patients with at least 1 HRSN had 45% increased odds of medication nonadherence. Further research is warranted to understand the financial, social, psychological, and healthcare-related factors that may underlie this association, and to design interventions targeting at-risk cancer populations.

Association between food insecurity, financial toxicity, and healthcare utilization in adolescents and young adults with cancer.

305 Background: Adolescents and young adults with cancer experience high rates of financial toxicity (FT) and unmet health-related social needs (HRSN: food, housing, transportation insecurity). FT and unmet HRSN, specifically FI, are modifiable factors that impact health outcomes; however, the relationship between FI, FT, and healthcare utilization (emergency department (ED) visits or hospitalizations) remains unclear. Leveraging systematic screening for FT and HRSN using the electronic health record (EHR) patient portal among AYAs with cancer, we examined the association between FI, FT, and healthcare utilization measures among AYAs with cancer. Methods: AYAs (ages 15-39) who utilize the EHR patient portal were prompted to complete an 8-item standardized HRSN survey (i.e., food insecurity, housing instability, transportation difficulties) and a 2-item previously established FT survey during e-check in between November 2022 and April 2024. ED visits and hospitalizations were extracted from the EHR directly. Descriptive statistics and associations using chi-square tests were used to describe the patients and examine associations between FI or FT and ED visits or hospitalizations. Results: Of 691 AYAs who completed the HRSN survey, 16% (n=109) screened positive for FI. Among AYAs with FI, 42% (n=46) had at least one ED visit compared with 28% (n=163) among AYAs without FI (p<0.01). Among AYAs with FI, 39% (n=43) were hospitalized at least once compared to 31% (n=179) among AYAs without FI (p=0.07). Of 439 AYAs who responded to the FT survey, 66% (n=290) met criteria for high FT. Within this group, 26% (n=74) had at least one ED visit compared with 17% (n=26) who screened negative (p=0.06). Among AYAs with high FT, 22% (n=65) were hospitalized at least once, compared with 19% (n=28) among those with low or moderate FT (p=0.38). Among 384 AYAs who responded to both the HRSN and FT surveys, 19% (n=74) screened positive for FI, 92% (n=68) of whom also had high financial toxicity. The table describes characteristics of screened AYAs by language and race/ethnicity. Conclusions: FI may be a risk factor for increased ED visits during cancer treatment among AYAs. Systematic screening to identify FI, FT, and other HRSN is important to facilitate referral for resources, support services, or interventions. Sociodemographic characteristics of AYA participants in FI and FT screening. Characteristic +FI -FI +FT -FT N=109 (%) N=582 (5) p-value N=290 (%) N=149 (%) p-value Language <0.01 <0.01 English 82 (75) 496 (85) 241 (83) 134 (90) Spanish 24 (22) 45 (8) 29 (10) 1(1) Other 3 (3) 41 (7) 20 (7) 14 (9) Race/Ethnicity <0.01 <0.01 Hispanic, any race 67 (61) 175 (30) 125 (43) 16 (11) Non-Hispanic Black 12 (11) 62 (11) 30 (10) 10 (7) Non-Hispanic White 16 (15) 219 (38) 78 (27) 84 (56) Other 14 (13) 126 (22) 57 (20) 39 (26)

Intersectional Analysis of Social Risk and Need Among a Large Representative Sample of Adults From an Integrated Health System in the U.S.

IntroductionSocial health is increasingly a focus of healthcare systems. Representative and intersectional analyses of individuals’ social risks such as food, housing, transportation, and financial insecurity, and their interest in receiving assistance from the healthcare system (social needs), can provide healthcare organizations with more nuanced estimates that can lead to more effective interventions. MethodsWe conducted cross-sectional survey of a representative sample of 43,936 Kaiser Permanente members in December 2019-September 2020. Study inclusion was based on membership, age, address, and absence of dementia. Modified Poisson regression models estimated respondents' social risks and needs overall and within domain (food, housing, finances, or transportation). and by intersectional strata based on a combination of age, income, gender, and race and ethnicity. ResultsOf 10,274 who completed the survey, 52% reported any social risk and 32% had any social need. Financial strain was the most prevalent risk (44%), followed by food insecurity (31%), housing instability (17%), and transportation (7%). Our intersectional analyses generated 74 intersectional groups. Across the intersectional groups, higher income (>$50,000/year) or older age (>60) adults consistently had lower risk and need. However, this pattern varied by race and ethnicity. In particular, older and lower-income, Pacific Islander, African-American/Black and Multiracial adults had the highest estimates of social risk and need. ConclusionsHigher risk and need among particular intersectional groups suggest the importance of tailored interventions for social needs. The high aggregate prevalence of social risks and needs suggests that system and policy changes must compliment universal and population-based social health screening and assistance interventions in healthcare organizations.

The Influence of Economic Stability on Neonatal and Family Well-Being.

Economic stability is one of the five domains of determinants of health influencing the well-being of families and communities. In this column, the impacts of economic instability, including poverty, employment, food insecurity, and housing instability, will be described. These challenges have unique impacts during pregnancy and the early years, with inequitable and accumulating health burdens over a lifetime. Actions that nurses can take within the NICU setting are described and opportunities for community and policy advocacy are identified.