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OBJECTIVE: To identify organizational service features associated with positive patient ratings of primary care within primary care clinics tailored to accommodate persons with ongoing and recent experiences of homelessness (PEH). DATA SOURCES AND STUDY SETTING: PEH receiving primary care in 29 United States Veterans Health Administration homeless-tailored clinics were surveyed about their primary care experience using the validated Primary Care Quality-Homeless (PCQ-H) survey. Characteristics of the clinics were assessed through surveys of clinic staff using a new organizational survey developed through literature review, site visits, statistical analysis, and consensus deliberation. STUDY DESIGN: Cross-sectional examination of patients' ratings of care based on surveys of patients, and of clinic characteristics, analyzed with Classification and Regression Tree (CART) analysis, a form of machine learning. DATA COLLECTION METHODS: Patient surveys (n = 3394) were obtained from a random sample of enrolled patients by both mail and telephone by an external survey contractor. Staff (n = 52 from 29 clinics) were interviewed by telephone. PRINCIPAL FINDINGS: This analysis identified service features that impact patient experience favorably, including aspects of patient-centeredness, team identity, strong external leadership support, and service that reach beyond traditional primary care clinic confines. Results varied according to the patient experience scale analyzed. Individual characteristics of PEH, such as degree of social support, general health, and unsheltered status, were also correlated with how they rate care. CONCLUSIONS: Organizational characteristics correlate with ratings of primary care from patients with recent and ongoing homelessness. Primary care programs serving homeless individuals can assure better care based on who they hire, how they foster team identity, what services they provide, and the strength of leadership support to protect a homeless-focused mission.
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Despite the widespread utilization of social media in HIV prevention interventions, little is known about the acceptance of social media in the dissemination of HIV prevention information among key at-risk groups like female sex workers (FSWs). This study has investigated FSWs' acceptance of Secret Facebook Group (SFG) in learning about HIV prevention. During June 2022, a quantitative study was conducted using a 5-star point Likert scale survey among 40 FSWs aged 18 years and older who took part in a Secret Facebook Group (SFG) HIV intervention. Descriptive statistics described demographics, social media accessibility, perceived usefulness (PU), perceived ease of use (PEOU), and acceptance among survey participants using SPSS and SAS. Most study participants found SFG utilized in HIV prevention intervention acceptable. Seventy-five percent (75%) of participants selected 5 stars for the acceptance of SFG. The majority of participants used social media, spent more than 90 minutes on social media per day, and could participate in the SFG HIV prevention intervention if airtime was not provided by study investigators, despite experiencing times when the internet was interrupted. The results also showed the PU and PEOU mean scores of SFG in the HIV prevention intervention were slightly lower than the acceptance scores (4.70 and 4.50 vs. 4.74). The data suggested future research should focus on explaining FSWs acceptance of social media and identifying social media platform alternatives for HIV prevention intervention. This study provided useful insights into social media acceptance, use, and importance in HIV prevention education among FSWs. The findings also indicate the need for further research on the reasons for acceptance of social media and relevant social media platforms supporting HIV prevention education among FSWs.
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INTRODUCTION: This study develops a practical method to triage Army transitioning service members (TSMs) at highest risk of homelessness to target a preventive intervention. METHODS: The sample included 4,790 soldiers from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS) who participated in 1 of 3 Army STARRS 2011-2014 baseline surveys followed by the third wave of the STARRS-LS online panel surveys (2020-2022). Two machine learning models were trained: a Stage-1 model that used administrative predictors and geospatial data available for all TSMs at discharge to identify high-risk TSMs for initial outreach; and a Stage-2 model estimated in the high-risk subsample that used self-reported survey data to help determine highest risk based on additional information collected from high-risk TSMs once they are contacted. The outcome in both models was homelessness within 12 months after leaving active service. RESULTS: Twelve-month prevalence of post-transition homelessness was 5.0% (SE=0.5). The Stage-1 model identified 30% of high-risk TSMs who accounted for 52% of homelessness. The Stage-2 model identified 10% of all TSMs (i.e., 33% of high-risk TSMs) who accounted for 35% of all homelessness (i.e., 63% of the homeless among high-risk TSMs). CONCLUSIONS: Machine learning can help target outreach and assessment of TSMs for homeless prevention interventions.
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Pessoas Mal Alojadas , Aprendizado de Máquina , Militares , Humanos , Pessoas Mal Alojadas/estatística & dados numéricos , Militares/estatística & dados numéricos , Masculino , Estados Unidos , Adulto , Feminino , Estudos Longitudinais , Adulto Jovem , Prevalência , Inquéritos e QuestionáriosRESUMO
BACKGROUND: Suicide is a major public health crisis within the US military veteran community, with distinct gender differences in suicide risk and behavior. The Veterans Crisis Line (VCL) is a component of the Veterans Health Administration (VHA) suicide prevention program; through VCL, veterans may be referred to a VHA Suicide Prevention Coordinator (SPC) to arrange follow-up care. Research shows that engagement with an SPC is a strong protective factor in reducing veteran suicide risk. METHODS: We evaluated SPC referral acceptance and assessed correlates of SPC referral decline using VCL administrative data for contacts: (1) made between January 1, 2018, through December 31, 2019; (2) by veterans contacting VCL on their own behalf; (3) with gender identified; and (4) current thoughts of suicide. Then, among a subsample of 200 veterans, evenly distributed by gender, we examined data from call synopsis notes to identify reasons given for veterans declining an SPC referral. RESULTS: We found it was generally callers rated as lower risk by responders, and callers with loneliness as a reason for contacting VCL, who more frequently declined the SPC referral. An analysis of reasons given for declining SPC referral found that concerns with/about Veterans Affairs care were a key concern, particularly among women veterans articulating specific negative care experiences. Other reasons for referral decline included managing the veteran's needs directly on the call or via alternative resources. CONCLUSION: The VCL as an intervention provides an important opportunity to re-engage vulnerable veterans into care, one that may be more challenging for women veterans.
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Prevenção do Suicídio , Suicídio , Feminino , HumanosRESUMO
BACKGROUND AND OBJECTIVES: Public health surveillance for overdose sometimes depends on nonfatal drug overdoses recorded in health records. However, the proportion of total overdoses identified through health record systems is unclear. Comparison of overdoses from health records to those that are self-reported may provide insight on the proportion of nonfatal overdoses that are not identified. METHODS: We conducted a cohort study linking survey data on overdose from a national survey of Veterans to United States Department of Veterans Affairs (VA) health records, including community care paid for by VA. Self-reported overdose in the prior 3 years was compared to diagnostic codes for overdoses and substance use disorders in the same time period. RESULTS: The sensitivity of diagnostic codes for overdose, compared to self-report as a reference standard for this analysis, varied by substance: 28.1% for alcohol, 23.1% for sedatives, 12.0% for opioids, and 5.5% for cocaine. There was a notable concordance between substance use disorder diagnoses and self-reported overdose (sensitivity range 17.9%-90.6%). DISCUSSION AND CONCLUSIONS: Diagnostic codes in health records may not identify a substantial proportion of drug overdoses. A health record diagnosis of substance use disorder may offer a stronger inference regarding the size of the population at risk. Alternatively, screening for self-reported overdose in routine clinical care could enhance overdose surveillance and targeted intervention. SCIENTIFIC SIGNIFICANCE: This study suggests that diagnostic codes for overdose are insensitive. These findings support consideration of alternative approaches to overdose surveillance in public health.
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Overdose de Drogas , Transtornos Relacionados ao Uso de Substâncias , Estados Unidos/epidemiologia , Humanos , Autorrelato , Estudos de Coortes , Overdose de Drogas/epidemiologia , Analgésicos Opioides , Transtornos Relacionados ao Uso de Substâncias/epidemiologiaRESUMO
BACKGROUND: More than 1 million Americans receive primary care from federal homeless health care programs yearly. Vulnerabilities that can make care challenging include pain, addiction, psychological distress, and a lack of shelter. Research on the effectiveness of tailoring services for this population is limited. OBJECTIVE: The aim was to examine whether homeless-tailored primary care programs offer a superior patient experience compared with nontailored ("mainstream") programs overall, and for highly vulnerable patients. RESEARCH DESIGN: National patient survey comparing 26 US Department of Veterans Affairs (VA) Medical Centers' homeless-tailored primary care ("H-PACT"s) to mainstream primary care ("mainstream PACT"s) at the same locations. PARTICIPANTS: A total of 5766 homeless-experienced veterans. MEASURES: Primary care experience on 4 scales: Patient-Clinician Relationship, Cooperation, Accessibility/Coordination, and Homeless-Specific Needs. Mean scores (range: 1-4) were calculated and dichotomized as unfavorable versus not. We counted key vulnerabilities (chronic pain, unsheltered homelessness, severe psychological distress, and history of overdose, 0-4), and categorized homeless-experienced veterans as having fewer (≤1) and more (≥2) vulnerabilities. RESULTS: H-PACTs outscored mainstream PACTs on all scales (all P<0.001). Unfavorable care experiences were more common in mainstream PACTs compared with H-PACTs, with adjusted risk differences of 11.9% (95% CI=6.3-17.4), 12.6% (6.2-19.1), 11.7% (6.0-17.3), and 12.6% (6.2-19.1) for Relationship, Cooperation, Access/Coordination, and Homeless-Specific Needs, respectively. For the Relationship and Cooperation scales, H-PACTs were associated with a greater reduction in unfavorable experience for patients with ≥2 vulnerabilities versus ≤1 (interaction P<0.0001). CONCLUSIONS: Organizations that offer primary care for persons experiencing homelessness can improve the primary care experience by tailoring the design and delivery of services.
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Pessoas Mal Alojadas , Satisfação do Paciente/estatística & dados numéricos , Atenção Primária à Saúde/organização & administração , Veteranos/estatística & dados numéricos , Dor Crônica , Atenção à Saúde/métodos , Atenção à Saúde/organização & administração , Feminino , Humanos , Masculino , Transtornos Mentais , Atenção Primária à Saúde/métodos , Relações Profissional-Paciente , Inquéritos e Questionários , Estados Unidos , United States Department of Veterans Affairs/organização & administração , Veteranos/psicologiaRESUMO
BACKGROUND: Veterans experiencing housing instability are at increased risk of suicide. Research is needed to identify gender differences in the predictors of both suicidal ideation and suicide attempt, particularly among Veterans who are unstably housed. OBJECTIVES: The objective of the present study was to explore whether correlates of suicide-related morbidity among unstably housed Veterans vary by gender and identify implications for improved care for these Veterans. METHODS: The study cohort included 86,325 Veterans who reported current housing instability between October 1, 2013, and September 30, 2016. This cross-sectional study assessed differences in demographic and outcome variables by gender using χ2 analyses and a series of multiple logistic regressions predicting suicidal ideation and suicide attempt, stratified by gender. RESULTS: Among unstably housed female Veterans, being younger than 40 years was associated with more than double the odds of having an indicator of suicidal ideation and >12 times the odds of having an indicator of a suicide attempt. The effect sizes associated with age were much less pronounced among unstably housed male Veterans. The presence of mental health and substance use conditions as well as a positive screen for military sexual trauma were associated with increased risk of suicide morbidity among both women and men. CONCLUSIONS: Intervention and prevention among unstably housed Veterans may be complicated by unpredictable living situations; further research should explore tailored interventions to address the complex needs of unstably housed Veterans and how suicide prevention can be woven throughout.
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Habitação , Ideação Suicida , Tentativa de Suicídio , Veteranos/psicologia , Veteranos/estatística & dados numéricos , Adolescente , Adulto , Idoso , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Fatores de Risco , Fatores Sexuais , Estados Unidos/epidemiologia , Adulto JovemRESUMO
BACKGROUND: Prior research has explored the patterns and dynamics of homelessness; such an understanding is necessary to improve policy and programmatic responses and prevent new episodes of housing instability. OBJECTIVES: The objectives of this study are to identify correlates of veterans' transitions into housing instability and inform initiatives aimed to address their needs, with a focus on how to prevent new episodes of housing instability. METHODS: The cohort for this study includes 4,633,069 veterans who responded to the Veterans Health Administration's universal screen for housing instability at least twice between October 1, 2012, and September 30, 2016; 1.2% reported recent housing instability and 98.8% reported ongoing housing stability. The χ or Fisher exact tests, as appropriate, compared veterans' characteristics by housing status. A multivariate logistic regression identified independent risk factors associated with recent housing instability, controlling for sociodemographic, military service, diagnostic, and health services use variables. RESULTS: Sociodemographic and health services use variables increased veterans' odds of transitioning into housing instability. The diagnoses with the greatest effect sizes were drug use disorder (adjusted odds ratio=1.50, 95% confidence interval: 1.45-1.55) and opioid use disorder, which was associated with a >2-fold increase in the odds of experiencing recent housing instability (adjusted odds ratio=2.22, 95% confidence interval: 2.04-2.41). CONCLUSIONS: The present study provides evidence to inform existing and future interventions to prevent new episodes of housing instability. Veterans with opioid use disorder were at greatest risk of becoming unstably housed; increasing access to medication-assisted treatment in homeless-focused services is needed.
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Serviços de Saúde/estatística & dados numéricos , Pessoas Mal Alojadas/estatística & dados numéricos , Transtornos Relacionados ao Uso de Substâncias/epidemiologia , United States Department of Veterans Affairs/estatística & dados numéricos , Veteranos/estatística & dados numéricos , Adolescente , Adulto , Idoso , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Fatores de Risco , Fatores Socioeconômicos , Estados Unidos/epidemiologia , Adulto JovemRESUMO
Objectives. To characterize housing instability among transgender veterans using Veterans Health Administration (VHA) health care in the United States.Methods. We used administrative data on veterans screened for housing instability from 2013 to 2016; participants included 5717 transgender veterans and 17 133 cisgender veterans. We defined housing instability by a positive screen or VHA Homeless Program use. We identified gender from medical records, reflecting either birth sex or gender identity. We identified transgender identity through transgender-related International Classification of Diseases, Ninth Revision and Tenth Revision codes. A multiple logistic regression assessed the association of transgender identity with housing instability.Results. Prevalence of housing instability was nearly 3 times higher among transgender veterans than among cisgender veterans (19.9% vs 6.7%; P < .001). The difference persisted when we adjusted for sociodemographics (adjusted odds ratio = 2.32; 95% confidence interval = 2.09, 2.57). Transgender veterans experiencing housing instability were more likely than cisgender veterans to be women, younger, unmarried, and White.Conclusions. Transgender veterans experience housing instability more frequently than do cisgender veterans. An increased focus on transgender identity is critical for reducing veteran homelessness.
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Habitação/estatística & dados numéricos , Pessoas Mal Alojadas/estatística & dados numéricos , Pessoas Transgênero/estatística & dados numéricos , Transexualidade/epidemiologia , Veteranos/estatística & dados numéricos , Adulto , Fatores Etários , Idoso , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Fatores Sexuais , Fatores Socioeconômicos , Estados Unidos , United States Department of Veterans Affairs/estatística & dados numéricosRESUMO
INTRODUCTION: The Veterans Health Administration seeks to reduce homelessness among Veterans by identifying, and providing prevention and supportive services to, patients with housing concerns. The objectives of this study were to assess the proportion of Veterans Health Administration patients who received homeless or social work services within 6 months of a positive screen for homelessness or risk in the Veterans Health Administration and the demographic and clinical characteristics that predicted services utilization. METHODS: Data were from a cohort of 27,403 Veteran outpatients who screened positive for homelessness or risk between November 1, 2012 and January 31, 2013. During 2013, AORs were calculated using a mixed-effects logistic regression to estimate the likelihood of patients' receipt of VHA homeless or social work services based on demographic and clinical characteristics. RESULTS: The majority of patients received services within 6 months post-screening; predictors of services utilization varied by gender. Among women, diagnosis of drug abuse and psychosis predicted receipt of services, being unmarried increased the odds of using services among those screening positive for homelessness, and a diagnosis of post-traumatic stress disorder increased the odds of receiving services for at-risk women. Among men, being younger, unmarried, not service-connected/Medicaid-eligible, and having a medical or behavioral health condition predicted receipt of services. CONCLUSIONS: Receipt of housing support services among Veterans post-homelessness screening differs by patient demographic and clinical characteristics. Future research should investigate the role that primary and secondary prevention interventions play in Veterans' resolution of risk for homelessness and experience of homelessness.