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Neighborhood characteristics are associated with residents' healthcare use. However, we understand less about these relationships among formerly homeless persons, who often have complex healthcare needs, including mental health and substance use disorders. Among formerly homeless Veterans, we examined: (a) how neighborhood characteristics are associated with Veteran Health Administration (VHA) healthcare use and, (b) if these relationships varied by Veterans' level of healthcare need. We obtained data on our cohort of 711 Veterans housed through VHA's permanent supportive housing program (HUD-VASH) in 2016-2017 from VHA's Homeless Registry, VHA's electronic health records, and the U.S. Census. We studied the relationships between neighborhood characteristics (% Veteran, % in poverty, % unemployed, % using public transportation, and % vacant properties) and VA healthcare use (primary care visits, outpatient mental health visits, and "high use" of emergency departments [> 4 visits]) using mixed-effects logistic and negative binomial regression models, controlling for patient demographics. We further examined moderation by patient healthcare need (calculated from cost and clinical data). We found that veterans in neighborhoods with higher percentages of residents who (a) were Veterans or (b) used public transportation were more likely to have high emergency department use. Those in neighborhoods with higher public transportation use had more primary care visits while those in neighborhoods with more property vacancies had more outpatient mental health visits. Among those with high healthcare needs, residents of areas with more Veterans had higher emergency department use. Promoting public transportation use and social engagement with other Veterans in residential neighborhoods may influence HUD-VASH Veterans' VA healthcare use. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Permanent, community-based housing with supportive services ("supported housing") has numerous favorable outcomes for homeless-experienced consumers. Little is known, however, about consumers who attain but subsequently lose their supported housing. Using mixed methods, we compared persons who retained their supported housing for at least 1 year ("stayers") with those who lost their supported housing within 1 year of move-in ("exiters"). Among persons housed through the VA Supported Housing (VASH) program at the VA Greater Los Angeles between 2011 and 2012, we queried VA homeless registry data to identify stayers (n = 1,558) and exiters (n = 85). We reviewed the medical records of 85 randomly selected stayers and all 85 exiters to compare demographics, homelessness chronicity, era of service, income, presence or absence of a serious mental illness, and health service utilization. From this subsample, we purposively selected 20 stayers and 20 exiters for semistructured, qualitative interviews, and more detailed medical record review. We also performed qualitative interviews and focus groups with VASH staff/leadership (n = 15). Recursive partitioning identified quantitative variables that best-differentiated stayers from exiters. Thematic analyses were performed on qualitative data. Interrelated factors were associated with exiting supported housing: chronic homelessness; low intrinsic motivation; unmet needs for mental health care, substance abuse treatment, and independent living skills; poor primary care engagement; frequent emergency department use; and recent mental health hospitalizations. These findings suggest the value of clinical interventions that address these factors-for example, motivational interviewing or social skills training-adapted to the setting and context of supported housing. (PsycINFO Database Record

Homeless patients have high rates of visual impairment and lower rates of glycemic control than housed patients. Although diabetic retinopathy (DR) is the most common cause of new visual impairment and legal blindness in the developed world, little is known about differential risk factors for and rates of DR in homeless versus housed populations. This study aimed to compare the rates of DR between homeless and housed patients with diabetes at the Greater Los Angeles Veterans Affairs Health care System (GLA) and identify clinical and psychosocial predictors of DR rates. We performed secondary database analyses of veterans with diabetes who received care at GLA between October 1, 2013 and September 30, 2015. We described differences in demographic, clinical, and psychosocial characteristics associated with DR in homeless versus housed patients, and created a logistic regression model to identify independent predictors of DR. We found that diabetic veterans who were homeless, as compared with those who were housed, had higher rates of substance use disorders and mental health diagnoses, more primary care and mental health visits, and were more likely to have had diabetic retinopathy eye screening according to guidelines. Multiple logistic regression modeling predicting having DR, revealed that having DR was independently associated with not being homeless (i.e., being housed), older age, having had retinal screening, anemia, higher systolic blood pressure, insulin use, microalbuminuria, and higher HbA1c. Homeless diabetic veterans' lower rates of DR may be due to the GLA VA's tailored and intensive psychological and medical resources for homeless veteran patients. (PsycINFO Database Record