Residential mobility and persistently depressed voting among disadvantaged adults in a large housing experiment.

This study examines the impact of residential mobility on electoral participation among the poor by matching data from Moving to Opportunity, a US-based multicity housing-mobility experiment, with nationwide individual voter data. Nearly all participants in the experiment were Black and Hispanic families who originally lived in high-poverty public housing developments. Notably, the study finds that receiving a housing voucher to move to a low-poverty neighborhood decreased adult participants' voter participation for nearly two decades-a negative impact equal to or outpacing that of the most effective get-out-the-vote campaigns in absolute magnitude. This finding has important implications for understanding residential mobility as a long-run depressant of voter turnout among extremely low-income adults.

Encuesta de Seroprevalencia COVID-19: Metodología y resultados definitivos: Ciudad de Buenos Aires Año 2021 (Informe de resultados, 1612)

Entre el 9 de agosto y el 20 de septiembre de 2021 año se realizó la cuarta onda de la Encuesta de Seroprevalencia COVID-19 en la Ciudad de Buenos Aires (ESECO). ESECO se realizó con una muestra representativa de la población de la Ciudad de Buenos Aires. La efectividad obtenida, a partir del gran trabajo realizado por el equipo de campo de la Dirección, permitió tener resultados generales para el total de la Ciudad y particulares para las zonas Sur, Centro y Norte, y para los barrios populares. Se presentan los principales aspectos metodológicos de la encuesta y los resultados de esta cuarta onda. La estimación de la prevalencia de infección para SARS-Cov2 de la población total es de 69,0% ( 80,2% en los barrios populares y 68,0% en el resto de la Ciudad). La inmunidad por zona observada fue 71,7% en la zona Sur; 66,8% en el Centro y 67,1% en el Norte de la Ciudad. La prevalencia por grupo etario fue del 78,6% para el grupo de edad 60 y más; de 81,1% para el grupo 40 a 59 años; de 69,6% para el grupo 18 a 39 años, y de 46,7% para el grupo etario 0 a 17 años. Se exponen también los resultados de las tres primeras ondas de la encuesta, realizados en 2020. Debe señalarse que los resultados de esas tres primeras ondas no son estrictamente comparables con los resultados de esta cuarta onda dado que en el momento de la realización de las tres ondas anteriores no había comenzado el programa. (AU)

Rapid Creation of a Multiagency Alternate Care Site for COVID-19- Positive Individuals Experiencing Homelessness.

Cook County Health partnered with the Chicago Departments of Public Health and Family & Support Services and several dozen community-based organizations to rapidly establish a temporary medical respite shelter during the spring 2020 COVID-19 peak for individuals experiencing homelessness in Chicago and Cook County, Illinois. This program provided low-barrier isolation housing to medically complex adults until their safe return to congregate settings. We describe strategies used by the health care agency, which is not a Health Resource and Services Administration Health Care for the Homeless grantee, to provide medical services and care coordination.

Association of Eviction With Adverse Birth Outcomes Among Women in Georgia, 2000 to 2016.

Importance: More than 2 million families face eviction annually, a number likely to increase due to the coronavirus disease 2019 pandemic. The association of eviction with newborns' health remains to be examined. Objective: To determine the association of eviction actions during pregnancy with birth outcomes. Design: This case-control study compared birth outcomes of infants whose mothers were evicted during gestation with those whose mothers were evicted at other times. Participants included infants born to mothers who were evicted in Georgia from January 1, 2000, to December 31, 2016. Data were analyzed from March 1 to October 4, 2020. Exposures: Eviction actions occurring during gestation. Main Outcomes and Measures: Five metrics of neonatal health included birth weight (in grams), gestational age (in weeks), and dichotomized outcomes for low birth weight (LBW) (<2500 g), prematurity (gestational age <37.0 weeks), and infant death. Results: A total of 88 862 births to 45 122 mothers (mean [SD] age, 26.26 [5.76] years) who experienced 99 517 evictions were identified during the study period, including 10 135 births to women who had an eviction action during pregnancy and 78 727 births to mothers who had experienced an eviction action when not pregnant. Compared with mothers who experienced eviction actions at other times, eviction during pregnancy was associated with lower infant birth weight (difference, -26.88 [95% CI, -39.53 to 14.24] g) and gestational age (difference, -0.09 [95% CI, -0.16 to -0.03] weeks), increased rates of LBW (0.88 [95% CI, 0.23-1.54] percentage points) and prematurity (1.14 [95% CI, 0.21-2.06] percentage points), and a nonsignificant increase in mortality (1.85 [95% CI, -0.19 to 3.89] per 1000 births). The association of eviction with birth weight was strongest in the second and third trimesters of pregnancy, with birth weight reductions of 34.74 (95% CI, -57.51 to -11.97) and 35.80 (95% CI, -52.91 to -18.69) g, respectively. Conclusions and Relevance: These findings suggest that eviction actions during pregnancy are associated with adverse birth outcomes, which have been shown to have lifelong and multigenerational consequences. Ensuring housing, social, and medical assistance to pregnant women at risk for eviction may improve infant health.

Smoke-Free Home Intervention in Permanent Supportive Housing: A Multifaceted Intervention Pilot.

INTRODUCTION: Smoke-free homes (SFHs), the voluntary adoption of home smoking restrictions, are associated with reduced secondhand smoke exposure. However, SFHs are uncommon in permanent supportive housing (PSH) for formerly homeless adults, who have fivefold higher smoking rates than the general population. We pilot-tested a brief intervention to increase voluntary adoption of SFHs among PSH residents in the San Francisco Bay Area. AIMS AND METHODS: We pilot-tested a brief intervention to increase voluntary adoption of SFHs among PSH residents in the San Francisco Bay Area. Rest of the methods, PSH residents (n = 100) and staff (n = 62) from 15 PSH sites participated in the intervention between October 2017 and February 2018. Research staff provided counseling to PSH residents on how to adopt an SFH and trained PSH staff on how to counsel residents on smoking cessation. The primary outcome was self-reported voluntary adoption of an SFH for ≥90 days, and the secondary outcome was carbon monoxide-verified PPA at 6-month follow-up. PSH staff completed the Smoking Knowledge, Attitudes, and Practices survey at baseline and 3-month follow-up. RESULTS: At 6 months, 31.3% of PSH residents had adopted an SFH (vs. 13.0% at baseline) and 16.9% reported carbon monoxide-verified PPA. A positive attitude toward an SFH policy was associated with increased odds of SFH adoption (adjusted odds ratio = 8.68, 95% confidence interval: 2.42, 31.17). Voluntary SFH adoption was associated with increased PPA (adjusted odds ratio = 26.27, 95% confidence interval: 3.43, 201.30). PSH staff reported improved attitudes toward and self-efficacy in delivering cessation care, and decreased barriers to discussing smoking cessation among PSH residents between baseline and 3-month follow-up. CONCLUSIONS: In this single-arm study, a brief intervention increased SFH adoption and PPA among PSH residents. IMPLICATIONS: To date, few interventions have addressed SFHs and their association with tobacco use among PSH residents. A "ground-up" approach that relies on buy-in from residents and that promotes voluntary SFHs is an innovative way to increase smoke-free living environments in PSH. This approach could pave a pathway for smoke-free policy implementation in these sites. PSH can play a role in reducing the burden of tobacco use by empowering its residents to adopt voluntary SFHs, which could increase smoking cessation among residents.

Does the Temporal Pattern of Moving to a Higher-Quality Neighborhood Across a 5-Year Period Predict Psychological Distress Among Adolescents? Results From a Federal Housing Experiment.

Using data from the Moving to Opportunity (MTO) experiment (1994-2002), this study examined how a multidimensional measure of neighborhood quality over time influenced adolescent psychological distress, using instrumental variable (IV) analysis. Neighborhood quality was operationalized with the independently validated 19-indicator Child Opportunity Index (COI), linked to MTO family addresses over 4-7 years. We examined whether being randomized to receive a housing subsidy (versus remaining in public housing) predicted neighborhood quality across time. Using IV analysis, we tested whether experimentally induced differences in COI across time predicted psychological distress on the Kessler Screening Scale for Psychological Distress (n = 2,829; mean ß = -0.04 points (standard deviation, 1.12)). The MTO voucher treatment improved neighborhood quality for children as compared with in-place controls. A 1-standard-deviation change in COI since baseline predicted a 0.32-point lower psychological distress score for girls (ß = -0.32, 95% confidence interval: -0.61, -0.03). Results were comparable but less precisely estimated when neighborhood quality was operationalized as simply average post-random-assignment COI (ß = -0.36, 95% confidence interval: -0.74, 0.02). Effect estimates based on a COI excluding poverty and on the most recent COI measure were slightly larger than other operationalizations of neighborhood quality. Improving a multidimensional measure of neighborhood quality led to reductions in low-income girls' psychological distress, and this was estimated with high internal validity using IV methods.

Evaluation of Secondhand Smoke Exposure in New York City Public Housing After Implementation of the 2018 Federal Smoke-Free Housing Policy.

Importance: Secondhand smoke (SHS) exposure is associated with many health conditions in children and adults. Millions of individuals in the US are currently exposed to SHS in their homes. Objective: To investigate whether a federal ban on smoking in public housing settings was associated with a decrease in indoor SHS levels in New York City public housing developments 12 months after the policy's implementation. Design, Setting, and Participants: This cohort study tracked indoor air quality longitudinally from April 2018 to September 2019 and used difference-in-differences analysis to examine SHS exposure before vs after implementation of the 2018 federal smoke-free housing (SFH) policy in 10 New York City Housing Authority (NYCHA) buildings vs 11 matched low-income buildings not subject to the SFH policy (ie, Section 8 buildings). Exposures: Federal SFH policy implementation, beginning July 30, 2018. Main Outcomes and Measures: Comparison of nicotine concentration levels from passive, bisulfate-coated filters before vs 12 months after implementation of the federal SFH policy. Secondary outcomes included changes in particulate matter less than 2.5 µm in diameter, measured with low-cost particle monitors, and counts of cigarette butts in common areas. Results: Air quality was measured repeatedly in a total of 153 NYCHA and 110 Section 8 nonsmoking households as well as in 91 stairwells and hallways. Before the SFH policy implementation, air nicotine was detectable in 19 of 20 stairwells (95.0%) in NYCHA buildings and 15 of 19 stairwells (78.9%) in Section 8 buildings (P = .19) and in 17 of 19 hallways (89.5%) in NYCHA buildings and 14 of 23 hallways (60.9%) in Section 8 buildings (P = .004). Nicotine was detected less frequently inside nonsmoking apartments overall (26 of 263 [9.9%]) but more frequently in NYCHA apartments (20 of 153 [13.1%]) than in Section 8 apartments (6 of 110 [5.5%]) (P = .04). One year after policy implementation, there was no differential change over time in nicotine concentrations measured in stairwells (DID, 0.03 µg/m3; 95% CI, -0.99 to 1.06 µg/m3) or inside nonsmoking households (DID, -0.04 µg/m3; 95% CI, -0.24 to 0.15 µg/m3). Larger decreases in nicotine concentration were found in NYCHA hallways than in Section 8 hallways (DID, -0.43 µg/m3; 95% CI, -1.26 to 0.40 µg/m3). Conclusions and Relevance: The findings suggest that there was no differential change in SHS in NYCHA buildings 12 months after SFH policy implementation. Additional support may be needed to ensure adherence to SFH policies.

A randomized trial of permanent supportive housing for chronically homeless persons with high use of publicly funded services.

OBJECTIVE: To examine whether randomization to permanent supportive housing (PSH) versus usual care reduces the use of acute health care and other services among chronically homeless high users of county-funded services. DATA SOURCES: Between 2015 and 2019, we assessed service use from Santa Clara County, CA, administrative claims data for all county-funded health care, jail and shelter, and mortality. STUDY DESIGN: We conducted a randomized controlled trial among chronically homeless high users of multiple systems. We compared postrandomization outcomes from county-funded systems using multivariate regression analysis. DATA COLLECTION: We extracted encounter data from an integrated database capturing health care at county-funded facilities, shelter and jails, county housing placement, and death certificates. PRINCIPAL FINDINGS: We enrolled 423 participants (199 intervention; 224 control). Eighty-six percent of those randomized to PSH received housing compared with 36 percent in usual care. On average, the 169 individuals housed by the PSH intervention have remained housed for 28.8 months (92.9 percent of the study follow-up period). Intervention group members had lower rates of psychiatric ED visits IRR 0.62; 95% CI [0.43, 0.91] and shelter days IRR 0.30; 95% CI [0.17, 0.53], and higher rates of ambulatory mental health services use IRR 1.84; 95% CI [1.43, 2.37] compared to controls. We found no differences in total ED or inpatient use, or jail. Seventy (37 treatment; 33 control) participants died. CONCLUSIONS: The intervention placed and retained frequent user, chronically homeless individuals in housing. It decreased psychiatric ED visits and shelter use, and increased outpatient mental health care, but not medical ED visits or hospitalizations. Limitations included more than one-third of usual care participants received another form of subsidized housing, potentially biasing results to the null, and loss of power due to high death rates. PSH can house high-risk individuals and reduce emergent psychiatric services and shelter use. Reductions in hospitalizations may be more difficult to realize.

Do peer social relationships mediate the harmful effects of a housing mobility experiment on boys' risky behaviors?

PURPOSE: The purpose of this study was to understand why a housing mobility experiment caused harmful effects on adolescent boys' risky behaviors. METHODS: Moving to Opportunity (MTO) (1994-2010) randomly assigned volunteer families to a treatment group receiving a Section 8 rental voucher or a public housing control group. Our outcome was a global risky behavior index (RBI; measured in 2002, n = 750 boys) measuring the fraction of 10 items the youth engaged in, 6 measuring past 30-day substance use and 4 measuring recent risky sexual behavior. Potential mediators (measured in 2002) included peer social relationships (e.g., peer drug use, peer gang membership). RESULTS: The voucher treatment main effect on boys' RBI was harmful (B (SE) = 0.05 (0.02), 95% CI 0.01, 0.08), and treatment marginally increased having friends who used drugs compared to controls (B (SE) = 0.67 (0.23), 95% CI 0.22, 1.12). Having friends who used drugs marginally mediated the MTO treatment effect on RBI (indirect effect: B (SE) = 0.02(.01), 95% CI -0.002, 0.04), reducing the total treatment effect by 39%. CONCLUSIONS: Incorporating additional supports into housing voucher programs may help support teenage boys who experience disruptions to their social networks, to buffer potential adverse consequences of residential mobility.

Linking Health and Housing Data to Create a Sustainable Cross-Sector Partnership.

In response to the growing regional (and national) focus on health and housing intersections, two public housing authorities (PHAs) in Washington-the King County Housing Authority and the Seattle Housing Authority-joined with Public Health-Seattle & King County to form the Housing and Health (H&H) partnership in 2016. H&H linked Medicaid health claims with PHA administrative data to create a sustainable public-facing dashboard that informs health and housing stakeholders such as an Accountable Community of Health (a governing body that oversees local Medicaid transformation projects), managed care organizations, and PHAs, allowing insights into the low-income communities they serve.

Feasibility of a twitter campaign to promote HPV vaccine uptake among racially/ethnically diverse young adult women living in public housing.

BACKGROUND: Uptake and completion of the HPV vaccine is suboptimal. This study assessed the feasibility of implementing a one-month Twitter campaign to promote knowledge about the human papillomavirus (HPV) vaccine among low-income women living in public housing. METHODS: We recruited a convenience sample (n = 35) of women ages 18-26 years residing in low-come, public housing in Massachusetts. We assessed the feasibility and acceptability of a communication campaign that consisted of daily Twitter messages. Online surveys assessed changes in HPV knowledge, attitudes, and vaccine intentions before and after the campaign. RESULTS: Most believed that Twitter was an acceptable educational strategy and remained engaged with the campaign throughout the intervention. We observed no changes in HPV knowledge, perceived benefits of or barriers to vaccination, decision self-efficacy, or vaccine intentions after the campaign, although perceived risk for cervical cancer decreased. CONCLUSIONS: Twitter may be a feasible and acceptable method for promoting knowledge about the HPV vaccine, but more research is needed to understand how best to reach low-income women with low levels of vaccine uptake. TRIAL REGISTRATION: Clinicaltrials.gov 1,603,045, retrospectively registered 0610/19.

Measuring Housing Stability With Consumer Reference Data.

Housing instability for low-income renters has drawn greater attention recently, but measurement has limited research on policies to stabilize housing. Address histories from consumer reference data can be used to increase the quantity and quality of research on low-income renters. Consumer data track housing moves throughout the entire United States for most of the adult population. In this article, I show that such data can measure housing stability for groups with very low income and extreme instability. For example, the data can track housing moves during natural disasters, at demolition of public housing, for households at high risk of homelessness, and during gentrification. Consumer data can track housing instability outcomes that are more common than shelter entry and less expensive to collect than surveys. Relative to existing administrative address histories, consumer data allow researchers to track housing moves to exact addresses and across jurisdictions.

Social cohesion, mental wellbeing and health-related quality of life among a cohort of social housing residents in Cornwall: a cross sectional study.

BACKGROUND: Research and policy have identified social cohesion as a potentially modifiable determinant of health and wellbeing that could contribute to more sustainable development. However, the function of social cohesion appears to vary between communities. The aim of this study was to analyse the levels of, and associations, between social cohesion, mental wellbeing, and physical and mental health-related quality of life among a cohort of social housing residents from low socioeconomic status communities in Cornwall, UK. Social housing is below market-rate rental accommodation made available to those in certain health or economic circumstances. These circumstances may impact on the form and function of social cohesion. METHODS: During recruitment, participants in the Smartline project completed the Short Warwick-Edinburgh Mental Wellbeing Scale, SF-12v2 and an eight item social cohesion scale. Cross sectional regression analyses of these data adjusted for gender, age, national identity, area socioeconomic status, rurality, education, employment, and household size were undertaken to address the study aim. RESULTS: Complete data were available from 305 (92.7%) participants in the Smartline project. Univariable analyses identified a significant association between social cohesion, mental wellbeing and mental health-related quality of life. Within fully adjusted multivariable models, social cohesion only remained significantly associated with mental wellbeing. Sensitivity analyses additionally adjusting for ethnicity and duration of residence, where there was greater missing data, did not alter the findings. CONCLUSIONS: Among a relatively homogeneous cohort, the reported level of social cohesion was only found to be significantly associated with higher mental wellbeing, not physical or mental health-related quality of life. The efforts made by social housing providers to offer social opportunities to all their residents regardless of individual physical or mental health state may support the development of a certain degree of social cohesion. Sense of control or safety in communities may be more critical to health than social cohesion. Additional observational research is needed before attempts are made to alter social cohesion to improve health.

Affordable, Social, and Substandard Housing and Mortality: The EPIPorto Cohort Study, 1999-2019.

Objectives. To examine the association between residence in different housing typologies and all-cause and cause-specific mortality, and to compare with the 25 × 25 risk factors defined by the World Health Organization.Methods. We used data from EPIPorto cohort (Porto, Portugal; n = 2485). We georeferenced and matched participants to a housing type-conventional, affordable, social, or substandard housing (locally called ilhas). We used Poisson regression models to estimate mortality rates and associations.Results. Age- and sex-adjusted mortality rates (per 100 000 person-years) were 713 (95% confidence interval [CI] = 584, 863) for individuals residing in conventional housing, and 1019 (95% CI = 637, 1551), 1200 (95% CI = 916, 1551), and 1239 (95% CI = 839, 1772) for individuals residing in affordable housing, social housing, and ilhas, respectively. After further adjustment, the associations between mortality and residence in social housing (rate ratio [RR] = 1.59; 95% CI = 1.22, 2.06) and in ilhas (RR = 1.64; 95% CI = 1.12, 2.33) remained. The association between disadvantaged housing and mortality was stronger than that observed for well-established risk factors such as hypertension, sedentariness, heavy drinking, manual occupation, or obesity.Conclusions. Disadvantaged housing is a major risk factor for mortality that should be accounted for by health policies and surveillance systems.

Trajectories of Homeless Shelter Utilization in the At Home/Chez Soi Trial of Housing First.

OBJECTIVE: Studies have shown that Housing First, a recovery-oriented housing intervention, is effective in reducing service utilization among homeless individuals with mental illness, but less is known about how Housing First affects patterns of service use over time and about characteristics associated with various utilization trajectories. This analysis aimed to explore latent class trajectories of shelter utilization in a randomized controlled trial of Housing First conducted across five Canadian cities. METHODS: Data from the At Home/Chez Soi trial were analyzed (N=2,058). Latent class growth analysis was performed using days of shelter utilization to identify trajectories over 24 months. Multinomial logistic regression was used to determine which baseline variables, including treatment group, could predict class membership. RESULTS: Four shelter use trajectories were identified: consistently low (N=1,631, 79%); mostly low (N=120, 6%); early temporary increase (N=179, 9%); and higher use, late temporary increase (N=128, 6%). Treatment group was a significant predictor of class membership. Those enrolled in Housing First had lower odds of experiencing higher shelter use trajectories (mostly low: odds ratio [OR]=0.50, 95% confidence interval [CI]=0.34-0.72; early temporary increase: OR=0.21, 95% CI=0.15-0.31; higher use, late temporary increase: OR=0.14, 95% CI=0.09-0.22). Other variables associated with trajectory classes included older age and longer time homeless, both of which were associated with higher shelter use. CONCLUSIONS: Several participant characteristics were associated with different shelter use patterns. Knowledge of variables associated with more favorable trajectories may help to inform service planning and contribute to modeling efforts for homelessness.

Housing Subsidies and Housing Stability are Associated with Better HIV Medical Outcomes Among Persons Who Experienced Homelessness and Live with HIV and Mental Illness or Substance Use Disorder.

Among 958 applicants to a supportive housing program for low-income persons living with HIV (PLWH) and mental illness or a substance use disorder, we assessed impacts of housing placement on housing stability, HIV care engagement, and viral suppression. Surveillance and administrative datasets provided medical and residence information, including stable (e.g., rental assistance, supportive housing) and unstable (e.g., emergency shelter) government-subsidized housing. Sequence analysis identified a "quick stable housing" pattern for 67% of persons placed by this program within 2 years, vs. 28% of unplaced. Compared with unplaced persons not achieving stable housing quickly, persons quickly achieving stable housing were more likely to engage in care, whether placed (per Poisson regression, ARR: 1.14;95% CI 1.09-1.20) or unplaced (1.19;1.13-1.25) by this program, and to be virally suppressed, whether placed (1.22;1.03-1.44) or unplaced (1.26, 1.03-1.56) by this program. Housing programs can help homeless PLWH secure stable housing quickly, manage their infection, and prevent transmission.

RESUMEN: Unas 958 personas de bajos recursos y quienes viven con VIH y enfermedades mentales o bien presentan problemas de abuso de sustancias solicitaron a un programa de vivienda complementada con servicios de apoyo. Entre ellas, se evaluó los impactos de la colocación en viviendas sobre la estabilidad en la misma, así como la participación en los cuidados médicos para el VIH, y la supresión de la carga viral. Las bases de datos administrativas y del registro de vigilancia brindaron información médica y domiciliar, incluyendo información sobre vivienda estable (por ejemplo, asistencia de pago de renta a largo plazo, o vivienda complementada con servicios de apoyo) y vivienda inestable (por ejemplo, alojamiento de emergencia temporal) subsidiada por el gobierno. El método "análisis de secuencia" permitió identificar una pauta caracterizada por estabilidad domiciliar conseguida de modo ligero (es decir, de forma oportuna) en el 67% de las personas quienes fueron colocadas por este programa dentro de un lapso de dos años, comparado con 28% de las personas quienes no fueron colocadas. En comparación con las personas quienes no fueron colocadas y no lograron estabilidad de vivienda de modo ligero, las personas quienes lograron estabilidad de vivienda de modo ligero tuvieron una mayor probabilidad de participar en cuidados médicos, ya sea que fueran colocadas (según regresión de Poisson, cociente de riesgo ajustado: 1.14; intervalo de confianza de 95%: 1.09-1.20) o no fueran colocadas (1.19, 1.13-1.25) por este programa, así como de lograr la supresión de la carga viral, ya sea que fueran colocadas (1.22, 1.03-1.44) o no fueran colocadas (1.26, 1.03-1.56) por este programa. Los programas que facilitan la colocación en o el pago de vivienda y apoyo en el mismo pueden ayudar a las personas con VIH y sin hogar obtener vivienda estable de modo ligero, controlar su infección, y prevenir la transmisión.

Social Risks Among Primary Care Patients in a Large Urban Health System.

INTRODUCTION: Health systems are increasingly interested in addressing the social determinants of health via social risk screening. The objective of this study is to understand the variability in the number and types of social risks overall and in population subgroups among primary care patients routinely screened in a large urban health system. METHODS: Between April and December 2018, a total of 24,633 primary care patients completed a 10-item screener across 19 ambulatory sites within a health system in the Bronx, NY. The prevalence of any social risk and specific social risks was estimated overall and for population subgroups. Wald tests were used to determine statistically significant differences by subgroup. Data were analyzed in winter/spring 2019. RESULTS: Twenty percent of patients presented with at least 1 social risk. The most frequently reported risks included housing quality (6.5%) and food insecurity (6.1%). Middle-aged (30-59 years) respondents (24.7%, 95% CI=23.6%, 25.7%) compared with those aged 18-29 years (17.7%, 95% CI=16.4%, 19.2%, p<0.001), and Medicaid patients (24.8%, 95% CI=24.0%, 25.5%) compared with commercially insured patients (11.8%, 95% CI=11.1%, 12.5%, p<0.001), were more likely to report social risks. The strongest predictor of housing quality risk was residing in public housing (15.1%, 95% CI=13.8%, 16.6%) compared with those not in public housing (5.6%, 95% CI=5.3%, 5.9%, p<0.001). Housing quality was the most frequently reported risk for children (aged <18 years) and older adults (aged ≥70 years), whereas, for middle-aged respondents (30-69 years), it was food insecurity. CONCLUSIONS: There are important differences in the prevalence of overall and individual social risks by subgroup. These findings should be considered to inform clinical care and social risk screening and interventions.

Evaluation of an early discharge from hospital scheme focussing on patients' housing needs: The ASSIST Project.

This study calculated a return on investment of an early discharge from hospital scheme focussing on improved responses to patients' housing needs. The study identified critical success factors of the scheme that will inform potential spread of the intervention to other localities. Financial return on investment based on service costs and benefits were calculated and the critical success factors were identified through interviews with key stakeholders. The annualised return on investment of the scheme was £3.03 for each £1 invested. Close working relationships between health and housing and aspects of the local housing stock (such as direct local control) were key to realising the return on investment.

Increases in Secondhand Smoke After Going Smoke-Free: An Assessment of the Impact of a Mandated Smoke-Free Housing Policy.

OBJECTIVE: The 12-month impact of federally mandated smoke-free housing (SFH) policy adoption (July 2018) was assessed using two markers of ambient secondhand smoke (SHS): airborne nicotine and particulate matter at the 2.5-micrometer threshold (PM2.5). METHODS: We measured markers of SHS in Norfolk, VA from December 2017 to December 2018 in six federally subsidized multi-unit public housing buildings. Multi-level regression was used to model the following comparisons: (1) the month immediately before SFH implementation versus the month immediately after, and (2) December 2017 versus December 2018. RESULTS: There was a 27% reduction in indoor PM2.5 and a 32% reduction in airborne nicotine in the first month after SFH adoption, compared to the month prior to adoption. However, there was a 33% increase in PM2.5 and a 25% increase in airborne nicotine after 12 months. CONCLUSIONS: US Department of Housing and Urban Development (HUD)-mandated SFH can reduce SHS in multi-unit housing. However, SFH could also plausibly increase indoor smoking. Policy approaches adopted by individual properties or housing authorities-for example, property-wide bans versus allowing designated smoking areas-could be driving this potential unintended consequence. IMPLICATIONS: Successful implementation of SFH by public housing authorities in response to the HUD rule requires ongoing attention to implementation strategies. In this sense, SFH likely differs from other policies that might be seen as less intrusive. Long-term success of SFH will depend on careful policy implementation, including plans to educate and support housing authority staff, inform and engage residents, and build effective partnerships with community agencies.