Shallow Subsidies for Veterans Facing Housing Barriers in the VA Supportive Services for Veteran Families Program.

The Department of Veterans Affairs provides a shallow subsidy (i.e., subsidizing 50% of an individual's rent for two years) to Veterans experiencing housing instability. We sought to describe the characteristics of Veterans who received these subsidies. Methods. We conducted a retrospective cohort study of Veterans between 10/2019-9/2021. We identified Veteran-level characteristics associated with receiving a shallow subsidy using a multivariable two-part regression model. We also conducted qualitative interviews to identify how shallow subsidies are allocated. Results Black race, higher income, more education, and older age were positively associated with receiving a shallow subsidy; previous homelessness, prior VA outpatient cost, and participating in permanent supportive housing were negatively associated with receiving a shallow subsidy. Interviews revealed that income was the most influential determinant of whether to give shallow subsidies. Discussion Our mixed methods findings were consistent, indicating that socioeconomic stability is an important driver of shallow subsidy allocation decisions.

Temporary Financial Assistance Reduced The Probability Of Unstable Housing Among Veterans For More Than 1 Year.

The Department of Veterans Affairs (VA) aims to reduce homelessness among veterans through programs such as Supportive Services for Veteran Families (SSVF). An important component of SSVF is temporary financial assistance. Previous research has demonstrated the effectiveness of temporary financial assistance in reducing short-term housing instability, but studies have not examined its long-term effect on housing outcomes. Using data from the VA's electronic health record system, we analyzed the effect of temporary financial assistance on veterans' housing instability for three years after entry into SSVF. We extracted housing outcomes from clinical notes, using natural language processing, and compared the probability of unstable housing among veterans who did and did not receive temporary financial assistance. We found that temporary financial assistance rapidly reduced the probability of unstable housing, but the effect attenuated after forty-five days. Our findings suggest that to maintain long-term housing stability for veterans who have exited SSVF, additional interventions may be needed.

Temporary Financial Assistance for Housing Expenditures and Mortality and Suicide Outcomes Among US Veterans.

INTRODUCTION: It is unclear whether interventions designed to increase housing stability can also lead to improved health outcomes such as reduced risk of death and suicide morbidity. The objective of this study was to estimate the potential impact of temporary financial assistance (TFA) for housing-related expenses from the US Department of Veterans Affairs (VA) on health outcomes including all-cause mortality, suicide attempt, and suicidal ideation. METHODS: We conducted a retrospective national cohort study of Veterans who entered the VA Supportive Services for Veteran Families (SSVF) program between 10/2015 and 9/2018. We assessed the association between TFA and health outcomes using a multivariable Cox proportional hazards regression approach with inverse probability of treatment weighting. We conducted these analyses on our overall cohort as well as separately for those in the rapid re-housing (RRH) and homelessness prevention (HP) components of SSVF. Outcomes were all-cause mortality, suicide attempt, and suicidal ideation at 365 and 730 days following enrollment in SSVF. RESULTS: Our analysis cohort consisted of 41,969 unique Veterans with a mean (SD) duration of 87.6 (57.4) days in the SSVF program. At 365 days following SSVF enrollment, TFA was associated with a decrease in the risk of all-cause mortality (HR: 0.696, p < 0.001) and suicidal ideation (HR: 0.788, p < 0.001). We found similar results at 730 days (HR: 0.811, p = 0.007 for all-cause mortality and HR: 0.881, p = 0.037 for suicidal ideation). These results were driven primarily by individuals enrolled in the RRH component of SSVF. We found no association between TFA and suicide attempts. CONCLUSION: We find that providing housing-related financial assistance to individuals facing housing instability is associated with improvements in important health outcomes such as all-cause mortality and suicidal ideation. If causal, these results suggest that programs to provide housing assistance have positive spillover effects into other important aspects of individuals' lives.

Association between Services to Address Adverse Social Determinants of Health and Suicide Mortality among Veterans with Indicators of Housing Instability, Unemployment, and Justice Involvement.

Suicide among Veterans continues to be a priority issue addressed by the U.S. Department of Veterans Affairs (VA). In addition to a variety of services specifically intended to prevent suicide, VA also offers a number of services to address Veterans' social determinants of health (SDH), several of which may be associated with elevated risk for suicide. For the present study, we assessed whether participation in services to address adverse SDH is associated with a reduction in risk of suicide mortality among Veterans using secondary data from VA datasets (1/1/2014-12/31/2019) for Veterans with an indicator of housing instability, unemployment, or justice involvement. Logistic regressions modeled suicide mortality; use of services to address SDH was the primary predictor. There was not a statistically significant association between services use and suicide mortality; significant correlates included race other than African American, low or no compensation related to disability incurred during military service, and suicidal ideation/attempt during observation period. Suicide is a complex outcome, difficult to predict, and likely the result of many factors; while there is not a consistent association between services use related to adverse SDH and suicide mortality, providers should intervene with Veterans who do not engage in SDH-focused services but have risk factors for suicide mortality.

Assessing longitudinal housing status using Electronic Health Record data: a comparison of natural language processing, structured data, and patient-reported history.

Introduction: Measuring long-term housing outcomes is important for evaluating the impacts of services for individuals with homeless experience. However, assessing long-term housing status using traditional methods is challenging. The Veterans Affairs (VA) Electronic Health Record (EHR) provides detailed data for a large population of patients with homeless experiences and contains several indicators of housing instability, including structured data elements (e.g., diagnosis codes) and free-text clinical narratives. However, the validity of each of these data elements for measuring housing stability over time is not well-studied. Methods: We compared VA EHR indicators of housing instability, including information extracted from clinical notes using natural language processing (NLP), with patient-reported housing outcomes in a cohort of homeless-experienced Veterans. Results: NLP achieved higher sensitivity and specificity than standard diagnosis codes for detecting episodes of unstable housing. Other structured data elements in the VA EHR showed promising performance, particularly when combined with NLP. Discussion: Evaluation efforts and research studies assessing longitudinal housing outcomes should incorporate multiple data sources of documentation to achieve optimal performance.

Stressful Life Events and Risk of Homelessness After Active Duty: An Assessment of Risk and Resilience Among Servicemembers.

OBJECTIVES: The transition from military to civilian life may present increased exposure to various stressful life events (SLEs) that can increase the risk of homelessness (eg, loss of employment, dissolution of romantic relationships). We assessed the extent to which exposure to SLEs occurring proximal to US Army soldier transitions out of active duty was associated with risk of homelessness. METHODS: A total of 16 589 respondents who were no longer on active duty but participated while on active duty during 2011-2014 baseline surveys completed follow-up surveys during 2016-2018 and 2018-2019. The follow-up surveys assessed SLEs and homelessness occurring in the past 12 months. We used modified Poisson regression models to evaluate how much differential SLE exposure and effects explained the aggregate association of a risk index with homelessness among a sample of 6837 respondents, weighted to represent the full sample. RESULTS: More than half (n = 3510, 52.8%) of respondents reported experiencing any SLEs in the past 12 months. Most (60.5%) of the difference in prevalence of homelessness among respondents defined as being at high risk of homelessness (vs lower risk) was explained by differential exposure to, and/or effects of, these SLEs. Personal betrayal by a loved one and economic problems played the largest roles in adjusted risk differences (0.045 and 0.074, respectively). CONCLUSIONS: Homelessness might be reduced by gearing interventions toward soldiers at high risk of homelessness who are transitioning out of active duty to reduce exposure to and effects of modifiable SLEs on experiencing homelessness.

Using natural language processing to study homelessness longitudinally with electronic health record data subject to irregular observations.

The Electronic Health Record (EHR) contains information about social determinants of health (SDoH) such as homelessness. Much of this information is contained in clinical notes and can be extracted using natural language processing (NLP). This data can provide valuable information for researchers and policymakers studying long-term housing outcomes for individuals with a history of homelessness. However, studying homelessness longitudinally in the EHR is challenging due to irregular observation times. In this work, we applied an NLP system to extract housing status for a cohort of patients in the US Department of Veterans Affairs (VA) over a three-year period. We then applied inverse intensity weighting to adjust for the irregularity of observations, which was used generalized estimating equations to estimate the probability of unstable housing each day after entering a VA housing assistance program. Our methods generate unique insights into the long-term outcomes of individuals with a history of homelessness and demonstrate the potential for using EHR data for research and policymaking.

The Impact of Temporary Housing Assistance Expenditures on Subcategories of Health Care Cost for U.S. Veterans Facing Housing Instability.

We sought to estimate the impact of temporary financial assistance (TFA) for housing-related expenses from the U.S. Department of Veterans Affairs on costs for a variety of health care services. We conducted a retrospective cohort study of Veterans who entered the Supportive Services for Veteran Families (SSVF) program between 10/2015 and 9/2018. We assessed the effect of TFA on health care costs using a multivariable difference-in-difference approach. Outcomes were direct medical costs of health care encounters (i.e., emergency department, outpatient mental health, inpatient mental health, outpatient substance use disorder treatment, and residential behavioral health) in the VA system. Temporary financial assistance was associated with a decrease in ED (-$11, p<.003), outpatient mental health (-$28, p<.001), outpatient substance use disorder treatment (-$25, p<.001), inpatient mental health (-$258, p<.001), and residential behavioral health (-$181, p<.001) costs per quarter for Veterans in the rapid re-housing component of SSVF. These results can inform policy debates regarding proper solutions to housing instability.

ReHouSED: A novel measurement of Veteran housing stability using natural language processing.

Housing stability is an important determinant of health. The US Department of Veterans Affairs (VA) administers several programs to assist Veterans experiencing unstable housing. Measuring long-term housing stability of Veterans who receive assistance from VA is difficult due to a lack of standardized structured documentation in the Electronic Health Record (EHR). However, the text of clinical notes often contains detailed information about Veterans' housing situations that may be extracted using natural language processing (NLP). We present a novel NLP-based measurement of Veteran housing stability: Relative Housing Stability in Electronic Documentation (ReHouSED). We first develop and evaluate a system for classifying documents containing information about Veterans' housing situations. Next, we aggregate information from multiple documents to derive a patient-level measurement of housing stability. Finally, we demonstrate this method's ability to differentiate between Veterans who are stably and unstably housed. Thus, ReHouSED provides an important methodological framework for the study of long-term housing stability among Veterans receiving housing assistance.

Receipt, Spending, and Clinical Correlates of the Economic Impact Payment Among Middle- and Low-Income U.S. Adults.

OBJECTIVE: This study examined characteristics and planned expenses of U.S. adults who received the economic impact payment (EIP) during the COVID-19 pandemic. METHODS: Using a nationally representative sample of 6,607 middle- and low-income U.S. adults, the authors examined the proportion and correlates of EIP receipt among eligible adults and the associations among planned EIP-financed expenses, challenges with paying expenses, and clinical characteristics. RESULTS: Of the sample, 78.8% reported that they received the EIP, and 82.3% of EIP recipients reported that it had a positive impact on their life. Being a veteran (odds ratio [OR]=2.59), being married (OR=1.82), having a history of schizophrenia spectrum disorder (OR=1.74) or posttraumatic stress disorder (OR=1.51), and screening negative for recent suicidal ideation (OR=0.49) were associated with EIP receipt. Planned expenses with the EIP were savings, paying debt, and rent and accounted for 63.4% of the total amount. Screening positive for mental health or drug use problems was positively associated with greater planned expenses for substances and gambling. EIP receipt also was associated with fewer problems paying daily expenses, but participants who screened positive for mental health or alcohol use problems were more likely to report problems paying past-month daily expenses. CONCLUSIONS: Unconditional cash transfers such as the EIP may be important for sustaining the living situation of middle- and low-income populations. The management of funds is important to consider, especially among adults experiencing mental health and substance abuse problems, and such cash transfers may represent opportunities for financial literacy and money management interventions.

Temporary Financial Assistance Decreased Health Care Costs For Veterans Experiencing Housing Instability.

Compared with housed people, those experiencing homelessness have longer and more expensive inpatient stays as well as more frequent emergency department visits. Efforts to provide stable housing situations for people experiencing homelessness could reduce health care costs. Through the Supportive Services for Veteran Families program, the Department of Veterans Affairs partners with community organizations to provide temporary financial assistance to veterans who are currently homeless or at imminent risk of becoming homeless. We examined the impact of temporary financial assistance on health care costs for veterans in the Supportive Services for Veteran Families program and found that, on average, people receiving the assistance incurred $352 lower health care costs per quarter than those who did not receive the assistance. These results can inform national policy debates regarding the proper solution to housing instability.

Perceptions of Care Coordination Among Homeless Veterans Receiving Medical Care in the Veterans Health Administration and Community Care Settings: Results From a National Survey.

BACKGROUND: Initiatives to expand Veterans' access to purchased health care outside Veterans Health Administration (VHA) facilities ("community care") present care coordination challenges for Veterans experiencing homelessness. OBJECTIVE: Among Veterans with homeless experiences, to evaluate community care use and satisfaction, and compare perceptions of care coordination among Veterans using VHA services and community care to those using VHA services without community care. RESEARCH DESIGN: Cross-sectional analysis of responses to a 2018 mailed survey. SUBJECTS: VHA outpatients with homeless experiences. MEASURES: Self-reported use of community care, Likert-style ratings of satisfaction with that care, and Access/Coordination experiences from the Primary Care Quality-Homeless (PCQ-H) survey. RESULTS: Of 4777 respondents, 1325 (26.7%) reported using community care; most of this subsample affirmed satisfaction with the community care they received (83%) and its timeliness (75%). After covariate adjustment, Veteran characteristics associated with greater community care use included female sex, being of retirement age and nonmarried, and having higher education, more financial hardship, ≥3 chronic conditions, psychological distress, depression, and posttraumatic stress disorder. Satisfaction with community care was lower among patients with travel barriers, psychological distress, and less social support. Compared with those using the VHA without community care, Veterans using VHA services and community care were more likely to report unfavorable access/coordination experiences [odds ratio (OR)=1.34, confidence interval (CI)=1.15-1.57]. This included hassles following referral (OR=1.37, CI=1.14-1.65) and perceived delays in receiving health care (OR=1.38, CI=1.19-1.61). CONCLUSIONS: Veterans with homeless experiences value community care options. Potential access benefits are balanced with risks of unfavorable coordination experiences for vulnerable Veterans with limited resources.

Association of Temporary Financial Assistance With Housing Stability Among US Veterans in the Supportive Services for Veteran Families Program.

Importance: Temporary financial assistance (TFA) for housing-related expenses is a key component of interventions to prevent homelessness or to quickly house those who have become homeless. Through the US Department of Veterans Affairs (VA) Supportive Services for Veteran Families (SSVF) program, the department provides TFA to veterans in need of housing assistance. Objective: To assess the association between TFA and housing stability among US veterans enrolled in the SSVF program. Design, Setting, and Participants: This retrospective cohort study analyzed data on veterans who were enrolled in the SSVF program at 1 of 203 partner organizations in 49 US states and territories. Some veterans had repeat SSVF episodes, but only the first episodes were included in this analysis. An episode was defined as the period between entry into and exit from the program occurring between October 1, 2015, and September 30, 2018. Exposures: Receipt of TFA. Main Outcomes and Measures: The main outcome was stable housing, defined as permanent, independent residence with payment by the program client or housing subsidy after exit from the SSVF program. Covariates included demographic characteristics, monthly income and source, public benefits, health insurance, use of other VA programs for homelessness, comorbidities, and geographic location. Multivariable mixed-effects logistic regression, inverse probability of treatment weighting, and instrumental variable approaches were used. Results: The overall cohort consisted of 41 969 veterans enrolled in the SSVF program, of whom 29 184 (mean [SD] age, 50.4 [12.9] years; 25 396 men [87.0%]) received TFA and 12 785 (mean [SD] age, 50.0 [13.3] years; 11 229 men [87.8%]) did not receive TFA. The mean (SD) duration of SSVF episodes was 90.5 (57.7) days. A total of 69.5% of SSVF episodes involved receipt of TFA, and the mean (SD) amount of TFA was $6070 ($7272). Stable housing was obtained in 81.4% of the episodes. Compared with those who did not receive TFA, veterans who received TFA were significantly more likely to have stable housing outcomes (risk difference, 0.253; 95% CI, 0.240-0.265). An association between the amount of TFA received and stable housing was also found, with risk differences ranging from 0.168 (95% CI, 0.149-0.188) for those who received $0 to $2000 in TFA to 0.226 (95% CI, 0.203-0.249) for those who received more than $2000 to $4000 in TFA. Conclusions and Relevance: This study found that receipt of TFA through the SSVF program was associated with increased rates of stable housing. These results may inform national policy debates regarding the optimal solutions to prevent and reduce housing instability.

Demographic Correlates of Veterans' Adverse Social Determinants of Health.

INTRODUCTION: Identifying patient populations most affected by adverse social determinants of health can direct epidemiologic investigation, guide development of tailored interventions, and improve clinical care and outcomes. This study explores how demographic characteristics are associated with specific types-and cumulative burden-of adverse social determinants of health among Veterans seeking Veterans Health Administration health care. METHODS: Data included electronic health records for 293,872 patients of Veterans Health Administration facilities in one region of the country between October 1, 2015 and September 30, 2016. A series of multiple logistic regressions conducted between August and December 2019 examined how demographic variables are associated with 7 adverse social determinants of health. A negative binomial regression examined the association between demographic characteristics and cumulative burden of social determinants of health. RESULTS: Demographic characteristics were associated with increased odds of each type of adverse social determinant of health: minority race, unmarried status, and Veterans' service connected disability status. Conversely, living in a rural area and being aged >40 years were associated with decreased odds of most of the adverse social determinants of health studied here. Hispanic ethnicity and female sex were inconsistently associated with increased odds of some adverse social determinants of health and decreased odds of others. These results are mirrored in the analysis of predictors of cumulative burden of adverse social determinants of health. CONCLUSIONS: There is increasing and ongoing interest in ways to identify and respond to patients' experiences of or exposures to adverse social determinants of health. Demographic characteristics may signal the need to assess for adverse social determinants of health. Analyses exploring latent factors among these social determinants (e.g., poverty) may inform strategies to identify patients experiencing adverse social determinants of health and provide responsive interventions.

Adverse social factors and all-cause mortality among male and female patients receiving care in the Veterans Health Administration.

Social factors account more for health outcomes than medical care, yet health services research in this area is limited due to the lack of social factors data contained within electronic health records (EHR) systems. Few investigations have examined how cumulative burdens of co-occurring adverse social factors impact health outcomes. From 293,872 patients in one region of the Veterans Health Administration (VHA), we examined how increasing numbers of adverse social factors extracted from the EHR were associated with mortality across a one-year period for male and female patients. Adverse social factors were identified using four sources in the EHR: responses to universal VHA screens, International Classification of Disease (ICD) diagnostic codes that indicate social factors, receipt of VHA services related to social factors, and templated social work referrals. Seven types of adverse social factors were coded: violence, housing instability, employment or financial problems, legal issues, social or familial problems, lack of access to care or transportation, and nonspecific psychosocial needs. Overall, each increase in an adverse social factor was associated with 27% increased odds of mortality, after accounting for demographics, medical comorbidity, and military service-related disability. Non-specific psychosocial factors were most strongly associated with mortality, followed by social or familial problems. Although women were more likely than men to have multiple adverse social factors, social factors were not associated with mortality among women as they were among men. By incorporating social factors data, health care systems can better understand patient all-cause mortality and identify potential prevention efforts built around social determinants.

Social determinants and emergency department utilization: Findings from the Veterans Health Administration.

BACKGROUND: Social determinants of health (SDH) are strong predictors of morbidity and mortality but health care systems struggle to integrate documentation of SDH into health records in ways that can be used for health services research. Given the impact of social factors on health, it is important to examine the relationship with emergency department (ED) utilization. OBJECTIVE: To examine the association between seven indicators of SDH and ED utilization using electronic health record (EHR) data from the Veterans Health Administration (VHA). METHODS: This cross-sectional analysis included data from all patients who had at least one health care visit in the Veterans Integrated Service Network region 4 from October 1, 2015 through September 30, 2016 (n=293,872). Seven categories of adverse SDH included violence, housing instability, employment or financial problems, legal problems, social or family problems, lack of access to care or transportation, and non-specific psychosocial needs identified through structured coding in EHR. Negative binomial regression was used to examine the association of the count of adverse SDH (0-7) with the count of ED visits, adjusting for socio-demographic and health-related factors. RESULTS: Approximately 18% of patients visited the ED during the observation period. After adjusting for covariates, adverse SDH were positively associated with VHA ED utilization. Each of the SDH indicators, other than legal issues, was positively associated with increased ED utilization. CONCLUSION: Even after accounting for several demographic and health-related factors, adverse SDH demonstrated strong positive associations with VHA ED utilization.

Financial Strain and Suicide Attempts in a Nationally Representative Sample of US Adults.

Although research has identified many suicide risk factors, the relationship between financial strain and suicide has received less attention. Using data representative of the US adult population (n = 34,653) from wave 1 (2001-2002) and wave 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions, we investigated the association between financial strain-financial debt/crisis, unemployment, past homelessness, and lower income-and subsequent suicide attempts and suicidal ideation. Multivariable logistic regression controlling for demographic and clinical covariates showed that cumulative financial strain was predictive of suicide attempts between waves 1 and 2 (odds ratio (OR) = 1.53, 95% confidence interval (CI): 1.32, 1.77). Wave 1 financial debt/crisis (OR = 1.58, 95% CI: 1.06, 2.34), unemployment (OR = 1.52, 95% CI: 1.10, 2.10), past homelessness (OR = 1.50, 95% CI: 1.03, 2.17), and lower income (OR = 1.51, 95% CI: 1.01, 2.25) were each associated with subsequent suicide attempts. Respondents endorsing these 4 financial-strain variables had 20 times higher predicted probability of attempting suicide compared with respondents endorsing none of these variables. Analyses yielded similar results examining suicidal ideation. Financial strain accumulated from multiple sources (debt, housing instability, unemployment, and low income) should be considered for optimal assessment, management, and prevention of suicide.

Use of Veterans Health Administration Homeless Programs Among Transgender and Non-Transgender Veterans Experiencing Self-Reported Housing Instability.

INTRODUCTION: Transgender individuals have higher rates of housing instability than non-transgender individuals. This study assessed the extent to which unstably housed transgender veterans participated in Veterans Health Administration (VHA) Homeless Programs. METHODS: Using VHA medical record data for transgender (n=491) and nontransgender (n=473) veterans who self-reported housing instability during fiscal years 2013-2016, chi-square and t-tests identified differences in socio-demographic characteristics and services use; multiple logistic and negative binomial regression assessed the type and number of VHA Homeless Programs veterans used. RESULTS: A larger proportion of transgender veterans who self-reported housing instability used at least one VHA Homeless Program; transgender veterans had greater odds of using permanent supportive housing and homelessness prevention and rapid rehousing services. DISCUSSION: Transgender veterans' housing needs are being met by some VHA Homeless Programs; future research should assess long-term housing outcomes and why particular programs may be less acceptable to transgender veterans with the objective of developing programs to address their unique needs.

Social Determinants and Military Veterans' Suicide Ideation and Attempt: a Cross-sectional Analysis of Electronic Health Record Data.

BACKGROUND: Health care systems struggle to identify risk factors for suicide. Adverse social determinants of health (SDH) are strong predictors of suicide risk, but most electronic health records (EHR) do not include SDH data. OBJECTIVE: To determine the prevalence of SDH documentation in the EHR and how SDH are associated with suicide ideation and attempt. DESIGN: This cross-sectional analysis included EHR data spanning October 1, 2015-September 30, 2016, from the Veterans Integrated Service Network Region 4. PARTICIPANTS: The study included all patients with at least one inpatient or outpatient visit (n = 293,872). MAIN MEASUREMENTS: Adverse SDH, operationalized using Veterans Health Administration (VHA) coding for services and International Statistical Classification of Diseases and Related Health Problems (ICD)-10 codes, encompassed seven types (violence, housing instability, financial/employment problems, legal problems, familial/social problems, lack of access to care/transportation, and nonspecific psychosocial needs). We defined suicide morbidity by ICD-10 codes and data from the VHA's Suicide Prevention Applications Network. Logistic regression assessed associations of SDH with suicide morbidity, adjusting for socio-demographics and mental health diagnoses (e.g., major depression). Statistical significance was assessed with p < .01. KEY RESULTS: Overall, 16.4% of patients had at least one adverse SDH indicator. Adverse SDH exhibited dose-response-like associations with suicidal ideation and suicide attempt: each additional adverse SDH increased odds of suicidal ideation by 67% (AOR = 1.67, 99%CI = 1.60-1.75; p < .01) and suicide attempt by 49% (AOR = 1.49, 99%CI = 1.33-1.68; p < .01). Independently, each adverse SDH had strong effect sizes, ranging from 1.86 (99%CI = 1.58-2.19; p < .01) for legal issues to 3.10 (99%CI = 2.74-3.50; p < .01) for non-specific psychosocial needs in models assessing suicidal ideation and from 1.58 (99%CI = 1.10-2.27; p < .01) for employment/financial problems to 2.90 (99%CI = 2.30-4.16; p < .01) for violence in models assessing suicide attempt. CONCLUSIONS: SDH were strongly associated with suicidal ideation and suicide attempt even after adjusting for mental health diagnoses. Integration of SDH data in EHR could improve suicide prevention.