Intervention to address homelessness and all-cause and suicide mortality among unstably housed US Veterans, 2012-2016

The Social Risk ACTIONS Framework: Characterizing Responses to Social Risks by Health Care Delivery Organizations

Social risks refer to individuals' social and economic conditions shaped by underlying social determinants of health. Health care delivery organizations increasingly screen patients for social risks given their potential impact on health outcomes. However, it can be challenging to meaningfully address patients' needs. Existing frameworks do not comprehensively describe and classify ways in which health care delivery organizations can address social risks after screening. Addressing this gap, the authors developed the Social Risk ACTIONS framework (Actionability Characteristics To Inform Organizations' Next steps after Screening) describing 4 dimensions of actionability: Level of action, Actor, Purpose of action, and Action. First, social risk actions can occur at 3 organizational levels (ie, patient encounter, clinical practice/institution, community). Second, social risk actions are initiated by different staff members, referred to as "actors" (ie, clinical care professionals with direct patient contact, clinical/institutional leaders, and researchers). Third, social risk actions can serve one or more purposes: strengthening relationships with patients, tailoring care, modifying the social risk itself, or facilitating population health, research, or advocacy. Finally, specific actions on social risks vary by level, actor, and purpose. This article presents the Social Risk ACTIONS framework, applies its concepts to 2 social risks (food insecurity and homelessness), and discusses its broader applications and implications. The framework offers an approach for leaders of health care delivery organizations to assess current efforts and identify additional opportunities to address social risks. Future work should validate this framework with patients, clinicians, and health care leaders, and incorporate implementation challenges to social risk action.

Suicide prevention providers' perspectives on addressing social determinants of health for at-risk Veterans

OBJECTIVE

Suicide prevention is a top clinical priority within the Department of Veterans Affairs (VA). While research consistently shows that suicide risk is associated with adverse social determinants of health (SDH, e.g., housing instability, unemployment, justice involvement), less is known about the extent to which suicide prevention staff are aware of and able to address these risk factors. This study aimed to understand the experiences of VA Suicide Prevention Coordinators (SPCs) with referring Veterans at risk of suicide to services that address SDH.

METHOD

In January-February 2022, 171 VA SPCs completed a questionnaire about their experiences connecting Veterans with SDH-focused services. Descriptive statistics summarized closed-response items and a thematic analysis was conducted for open-ended responses.

RESULTS

The majority of SPCs agreed that adverse SDH contribute to suicide risk and that services to address SDH could reduce suicide risk for Veterans. While most SPCs were aware of on-site SDH services, many reported barriers to connecting Veterans with those services including insufficient resources, lack of staff time, and eligibility criteria.

CONCLUSION

Changes at the organizational and policy levels are needed to provide comprehensive suicide prevention services that connect at-risk Veteran with services to address adverse SDH.

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.

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.

Using electronic health record metadata to predict housing instability amongst veterans

Housing instability is considered a significant life stressor and preemptive screening should be applied to identify those at risk for homelessness as early as possible so that they can be targeted for specialized care. We developed models to classify patient outcomes for an established VA Homelessness Screening Clinical Reminder (HSCR), which identifies housing instability, in the two months prior to its administration. Logistic Regression and Random Forest models were fit to classify responses using the last 18 months of document activity. We measure concentration of risk across stratifications of predicted probability and observe an enriched likelihood of finding confirmed false negative responses from veterans with diagnosed housing instability. Positive responses were 34 times more likely to be detected within the top 1 % of patients predicted at risk than from those randomly selected. There is a 1 in 4 chance of detecting false negatives within the top 1 % of predicted risk. Machine learning methods can classify between episodes of housing instability using a data-driven approach that does not rely on variables curated from domain experts. This method has the potential to improve clinicians' ability to identify veterans who are experiencing housing instability but are not captured by HSCR.

Population- and Community-Based Interventions to Prevent Suicide

Background: Suicide is estimated to account for 1.4% of deaths worldwide, making it among the leading causes of premature death. Public health approaches to reduce suicide have the potential to reach individuals across the spectrum of suicide risk. Aims: To review the effectiveness of newer community-based or population-level suicide prevention strategies. Methods: We conducted a systematic review of literature published from January 2010 to November 2020 to evaluate the effectiveness of community- and population-level interventions. The US Center for Disease Control framework was used for grouping studies by strategy. Results: We included 56 publications that described 47 unique studies. Interventions that reduce access to lethal means, implement organizational policies and culture in police workplace settings, and involve community screening for depression may reduce suicide deaths. It is unclear if other interventions such as public awareness and education campaigns, crisis lines, and gatekeeper training prevent suicide. Evidence was inconsistent for community-based, multistrategy interventions. The most promising multistrategy intervention was the European Alliance Against Depression. Limitations: Most eligible studies were observational and many lacked concurrent control groups or adjustment for confounding variables. Conclusions: Community-based interventions that may reduce suicide deaths include reducing access to lethal means, implementing organizational policies in workplace settings, screening for depression, and the multistrategy European Alliance Against Depression Program. Evidence was unclear, inconsistent, or lacking regarding the impact of many other single- or multistrategy interventions on suicide deaths.

Performance of 2 Single-Item Screening Questions to Identify Future Homelessness Among Emergency Department Patients

IMPORTANCE

Despite increasing interest in assessing patient social needs in health care settings, there has been little research examining the performance of housing-related screening questions.

OBJECTIVE

To examine the performance of 2 single-item screening questions assessing emergency department (ED) patients' self-perceived risk of future homelessness.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study was conducted among a randomly selected sample of adult ED patients from 2016 to 2017 in a public hospital ED in New York City. Data were analyzed from September 2019 through October 2021.

EXPOSURES

Responses on patient surveys conducted at the baseline ED visit for 2 single-item screening questions on self-perceived risk for future housing instability and homelessness were collected. One question asked patients if they were worried about having stable housing in the next 2 months, and the other question asked them to rate the likelihood that they would enter a homeless shelter in the next 6 months.

OUTCOMES

Homeless shelter entry 2, 6, and 12 months after an ED visit, assessed using shelter administrative data in the study city, which was linked with participant baseline survey responses.

RESULTS

There were 1919 study participants (976 [51.0%] men and 931 [48.6%] women among 1915 individuals with gender data; 700 individuals aged 31-50 years [36.5%] among 1918 individuals with age data; 1126 Hispanic or Latinx individuals [59.0%], 368 non-Hispanic Black individuals [19.3%], and 225 non-Hispanic White individuals [11.8%] among 1908 individuals with race and ethnicity data). Within 2, 6, and 12 months of the ED visit, 45 patients (2.3%), 66 patients (3.4%), and 95 patients (5.0%) had entered shelter, respectively. For both single-item screening questions, participants who answered affirmatively had significantly higher likelihood of future shelter entry at each time point examined (eg, at 2 months: 31 participants responding yes [6.5%] vs 14 participants responding no [1.0%] to the question concerning being worried about having stable housing in the next 2 months). Sensitivity of the screening questions ranged from 0.27 to 0.69, specificity from 0.76 to 0.97, positive predictive value from 0.07 to 0.27, and area under the receiver operating characteristic curve from 0.62 to 0.72.

CONCLUSIONS AND RELEVANCE

This study found that 2 single-item screening questions assessing ED patient self-perceived risk of future housing instability and homelessness had adequate to good performance in identifying risk for future shelter entry. Such single-item screening questions should be further tested before broad adoption.