Life Meaning in a Social Context Among Formerly Homeless Residents of Permanent Supportive Housing.

Objective: Experiencing a life of meaning is considered fundamental to "what makes life worth living," yet investigation of life meaning among persons with lived experiences of homelessness is lacking. This study seeks to understand life meaning among formerly homeless residents of permanent supportive housing through an examination of its association with social context. Method: Data were collected through interviews with 383 persons with experience of chronic homelessness who were provided permanent supportive housing (PSH). Recruitment of participants occurred through partnerships with 26 providers of PSH in Los Angeles County, California. Multivariate logistic regression models were employed to understand association of life meaning with hypothesized social contextual variables, controlling for demographic and background characteristics. Results: Community integration and sense of belonging were significantly and positively associated with life meaning, consistent with findings from previous research involving persons not identified as experiencing homelessness. Conclusions: Findings suggest opportunities for service providers to facilitate life meaning among residents of supportive housing. Specific attention to life meaning and its social context is consistent with the World Health Organization's position that well-being is a significant aspect of health.

The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination.

The US COVID-19 Trends and Impact Survey (CTIS) is a large, cross-sectional, internet-based survey that has operated continuously since April 6, 2020. By inviting a random sample of Facebook active users each day, CTIS collects information about COVID-19 symptoms, risks, mitigating behaviors, mental health, testing, vaccination, and other key priorities. The large scale of the survey-over 20 million responses in its first year of operation-allows tracking of trends over short timescales and allows comparisons at fine demographic and geographic detail. The survey has been repeatedly revised to respond to emerging public health priorities. In this paper, we describe the survey methods and content and give examples of CTIS results that illuminate key patterns and trends and help answer high-priority policy questions relevant to the COVID-19 epidemic and response. These results demonstrate how large online surveys can provide continuous, real-time indicators of important outcomes that are not subject to public health reporting delays and backlogs. The CTIS offers high value as a supplement to official reporting data by supplying essential information about behaviors, attitudes toward policy and preventive measures, economic impacts, and other topics not reported in public health surveillance systems.

An open repository of real-time COVID-19 indicators.

The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.

Changes in Physical Assault Among Adults Moving Into Permanent Supportive Housing.

People experiencing homelessness experience high rates of physical assault. While this high risk for victimization is well established, there is no research that examines whether victimization rates change over time as persons transition into permanent supportive housing (PSH). Data are from a longitudinal study of adults moving into PSH in the Los Angeles, CA area. Interviews were conducted prior to or within 5 days of moving in, with follow-up interviews at 3, 6, and 12 months after move-in (n = 370 participants completing all four interviews). Each interview assessed characteristics of past 3-month physical assault. Analyses examined change in rates of assault over time and differences by demographic subgroups. We also present findings on the most common locations and perpetrators of assault. Overall, rates of physical assault decreased after participants entered PSH. Statistically significant differences by subgroups varied by time point. Differences identified include higher rates of physical assault among Latino/a respondents, lower rates among African Americans, and higher rates of physical assault among lesbian, gay, bisexual, and transgender (LGBT) respondents. The most frequent location of assault was outside at baseline, 3- and 6-month time points. Strangers were the most common perpetrator at all time points. Rates of perpetration by neighbors nearly doubled from baseline to the 12-month time point, and inside locations for assault were most common at this time point as well. While PSH is an effective intervention in reducing chronic homelessness, it is important to consider other risks to overall health and well-being, such as physical victimization.

Exploring the Association of Community Integration in Mental Health among Formerly Homeless Individuals Living in Permanent Supportive Housing.

Supportive housing has been widely used among persons experiencing chronic homelessness and/or mental health conditions. While it has been demonstrated to be effective in addressing homelessness among populations with complex needs, community integration remains a challenge. Community integration is the extent to which individuals live, participate, and socialize in their community and consists of three aspects: physical, social, and psychological. The study utilized data from the Transitions to Housing project that followed formerly homeless individuals (N = 383) throughout their first year of residence in permanent supportive housing (PSH). The study set out to examine which aspects of community integration are associated with mental health symptoms in this population. Five nested multivariate linear regression models were conducted and then compared. The model that accounted for demographics, substance use, neighborhood quality, and all three aspects of community integration simultaneously was the best fit and explained the most variance in mental health symptoms (24%). The complete model suggested higher levels of psychological integration were significantly associated with decreased mental health symptoms in this sample. This finding suggests fostering a sense of belonging among PSH residents could improve mental health outcomes. Implications for practice and future research are discussed.

Do HIV risk and prevention behaviors change over time among adults in permanent supportive housing?

Persons experiencing homelessness have a disproportionate burden of HIV infection and high rates of HIV risk behavior. Permanent supportive housing (PSH) has been identified as a primary solution to homelessness, but little is known about HIV sexual risk behavior among persons in PSH, nor about how HIV risk and prevention behavior may change as persons move from homelessness into PSH. Utilizing longitudinal data from 421 persons prior to moving in and over their first year living in PSH, this study assesses change over time in HIV risk and prevention behavior utilizing generalized linear mixed models. Results reveal changes in sexual risk behavior over time, including an overall increase in the rate of sexual activity, but a decrease in rates of some sexual risk behaviors, including condomless sex and multiple partners. While decreasing overall, the prevalence of condomless sex remains high (63%) at 12-months. Combined with a precipitous drop in HIV prevention programming exposure (from 56% at baseline to 23% at 12-months), only two-thirds of those sexually active reporting a past year HIV test at 12-months post-housing, and rare use of PrEP, these findings suggest a need for additional attention to promotion of sexual health behaviors and HIV prevention within PSH.

Social networks and substance use after transitioning into permanentsupportive housing.

BACKGROUND: Substance use disorders are common among persons experiencing homelessness, and research has identified social networks as important correlates of substance use in this population. Permanent supportive housing (PSH), particularly Housing First, which uses a harm reduction model not requiring substance abstinence, is a key solution for ending homelessness. However, conflicting evidence exists regarding the associations between moving into PSH and changes in substance use, and there is limited understanding of how networks may influence such changes. METHODS: Using observational, longitudinal data from 421 persons before they moved in and over their first year in PSH (collected as part of a HIV-risk study), this paper assesses substance use change (alcohol, marijuana, and illicit drugs) and associations between perceived network characteristics and individual substance use. RESULTS: Substance use remained relatively stable among participants over their first year living in PSH, although illicit substance use reduced somewhat at six months compared to baseline levels (from 18.5%-14.5%) and marijuana use increased slightly at 12 months (from 26.6% at baseline to 32.9%). Substance use among social network members was consistently associated with individual-level substance use, both cross-sectionally and longitudinally. Specific network substance use characteristics, such as proximity, location met, and social support, had differential relationships with particular substance types. CONCLUSIONS: These findings provide longitudinal evidence that changes within substance-using social networks are associated with subsequent changes in individual use and underscore the importance of interventions aimed at promoting positive social relationships for formerly homeless persons and improving PSH's social environments.