Who Is Couch-Surfing and Who Is on the Streets? Disparities Among Racial and Sexual Minority Youth in Experiences of Homelessness.

PURPOSE: Youth experiencing homelessness (YEH) often engage in "couch-surfing," or frequently moving from one tenuous living arrangement to another. Understanding the characteristics and risk factors associated with couch-surfing is necessary to designing adequate responses to youth homelessness. The present study aims to investigate factors associated with youth at risk of couch-surfing or sleeping on the streets relative to staying in a shelter. METHODS: The present study used Homeless Management Information System administrative data sourced from 16 communities across the U.S. between January 2015 and February 2017 (n = 9,417). Multinomial logistic regression models were used to explore correlates (e.g., demographics, homeless histories, risk and victimization, behavioral health, and self-sufficiency) of couch-surfing or sleeping on the streets relative to staying in an emergency shelter program. RESULTS: YEH identifying as female; Black or another non-Latinx youth of color; or as lesbian, gay, bisexual, questioning, or another sexual orientation (LGBQ+) were at greater risk of couch-surfing relative to staying in a shelter. YEH who threatened to harm themselves or others in the preceding 12 months or who attributed their homelessness to an abusive relationship were significantly more likely to either be couch-surfing or on the streets. DISCUSSION: Service providers must recognize and validate the vulnerabilities and risks experienced by couch-surfing YEH in order to help reduce barriers to accessing services faced by this population. Federal definitions of homelessness should be aligned to correct systemic biases and more accurately reflect the realities of how youth experience homelessness.

A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV Among Youth Experiencing Homelessness.

BACKGROUND: Youth experiencing homelessness (YEH) are at elevated risk of HIV/AIDS and disproportionately identify as racial, ethnic, sexual, and gender minorities. We developed a new peer change agent (PCA) HIV prevention intervention with 3 arms: (1) an arm using an artificial intelligence (AI) planning algorithm to select PCAs; (2) a popularity arm, the standard PCA approach, operationalized as highest degree centrality (DC); and (3) an observation-only comparison group. SETTING: A total of 713 YEH were recruited from 3 drop-in centers in Los Angeles, CA. METHODS: Youth consented and completed a baseline survey that collected self-reported data on HIV knowledge, condom use, and social network information. A quasi-experimental pretest/posttest design was used; 472 youth (66.5% retention at 1 month postbaseline) and 415 youth (58.5% retention at 3 months postbaseline) completed follow-up. In each intervention arm (AI and DC), 20% of youth was selected as PCAs and attended a 4-hour initial training, followed by 7 weeks of half-hour follow-up sessions. Youth disseminated messages promoting HIV knowledge and condom use. RESULTS: Using generalized estimating equation models, there was a significant reduction over time (P < 0.001) and a significant time by AI arm interaction (P < 0.001) for condomless anal sex act. There was a significant increase in HIV knowledge over time among PCAs in DC and AI arms. CONCLUSIONS: PCA models that promote HIV knowledge and condom use are efficacious for YEH. Youth are able to serve as a bridge between interventionists and their community. Interventionists should consider working with computer scientists to solve implementation problems.

Correlates of Housing Sustainability Among Youth Placed Into Permanent Supportive Housing and Rapid Re-Housing: A Survival Analysis.

PURPOSE: Youth experiencing homelessness (YEH) are vulnerable to multiple adverse health outcomes. Connecting YEH with housing is critical to addressing youth homelessness and to preventing long-term negative health consequences among this vulnerable population. Using administrative data, this study aims to explore correlates of YEH's sustainability in two major housing programs: permanent supportive housing (PSH) and rapid re-housing (RRH) programs. METHODS: This study used Homelessness Management Information System administrative data collected from 16 communities across the U.S. between January 1, 2015 and May 1, 2017 (n = 10,902). We conducted Cox proportional hazards survival analyses to explore correlates (e.g., demographics, homeless experiences, and overall vulnerability) of YEH's PSH (n = 577) and RRH (n = 2,883) sustainability separately. RESULTS: For YEH receiving PSH, only individuals' level of vulnerability is associated with greater hazard of exiting PSH. As for RRH sustainability, YEH who were 17 years old or younger, black or Latinx (as compared to white), of higher level of vulnerability, or previously spent most nights couch surfing or in transitional living programs (as compared to on the street) are associated with higher hazard of exiting RRH. CONCLUSIONS: Both PSH and RRH programs should incorporate comprehensive services targeting youth experiencing high vulnerability to prevent them from re-entering homelessness. Future RRH programming should also address housing sustainability disparities faced by racial and ethnic minority YEH, especially when they are disproportionately influenced by homelessness. Finally, RRH programs should incorporate services to foster independent living among younger YEH to sustain their housing status once temporary housing subsidies expire.