Housing Assistance Among Patients with Cancer: SEER-Medicare U.S. Department of Housing and Urban Development Data Linkage.

BACKGROUND: Lack of stable and affordable housing is an important social determinant of health. Federal housing assistance may buffer against housing vulnerabilities among low-income households, but research examining the association of housing assistance and cancer care has been limited. We introduce a new linkage of SEER-Medicare and Housing and Urban Development (HUD) administrative data. METHODS: Individuals enrolled in HUD public and assisted housing programs 2006-2021 were linked with cancer diagnoses 2006-2019 identified in the SEER-Medicare data from 16 states using Match*Pro probabilistic linkage software. HUD administrative data include timing and type of housing assistance and verified household income. Medicare administrative data are available through 2020. RESULTS: A total of 335,490 unique individuals who received housing assistance matched to SEER-Medicare data at any point in time, including 156,794 that recieved housing assistance around the time of their diagnosis (at least 6 months prior to diagnosis until 6 months after diagnosis or death). A total of 63,251 persons with housing assistance at the time of their diagnosis were aged 66 years and older and continuously enrolled in Medicare Parts A and B fee-for-service, 12,035 with lung, 8,866 with breast, 7,261 with colorectal, and 4,703 with prostate cancer. CONCLUSIONS: This novel data linkage will be available through the National Cancer Institute and can be used to explore the ways in which housing assistance is associated with cancer diagnosis, care, and outcomes, including the role of housing assistance status in potentially reducing or contributing to inequities across racialized and ethnic groups.

A U.S. Lead Exposure Hotspots Analysis.

To identify U.S. lead exposure risk hotspots, we expanded upon geospatial statistical methods from a published Michigan case study. The evaluation of identified hotspots using five lead indices, based on housing age and sociodemographic data, showed moderate-to-substantial agreement with state-identified higher-risk locations from nine public health department reports (45-78%) and with hotspots of children's blood lead data from Michigan and Ohio (e.g., Cohen's kappa scores of 0.49-0.63). Applying geospatial cluster analysis and 80th-100th percentile methods to the lead indices, the number of U.S. census tracts ranged from ∼8% (intersection of indices) to ∼41% (combination of indices). Analyses of the number of children <6 years old living in those census tracts revealed the states (e.g., Illinois, Michigan, New Jersey, New York, Ohio, Pennsylvania, Massachusetts, California, Texas) and counties with highest potential lead exposure risk. Results support use of available lead indices as surrogates to identify locations in the absence of consistent, complete blood lead level (BLL) data across the United States. Ground-truthing with local knowledge, additional BLL data, and environmental data is needed to improve identification and analysis of lead exposure and BLL hotspots for interventions. While the science evolves, these screening results can inform "deeper dive" analyses for targeting lead actions.

Federal Housing Assistance and Chronic Disease Among US Adults, 2005-2018.

Introduction: Housing insecurity is associated with poor health outcomes. Characterization of chronic disease outcomes among adults with and without housing assistance would enable housing programs to better understand their population's health care needs. Methods: We used National Health and Nutrition Examination Survey (NHANES) data from 2005 through 2018 linked to US Department of Housing and Urban Development (HUD) administrative records to estimate the prevalence of obesity, diabetes, and hypertension and to assess the independent associations between housing assistance and chronic conditions among adults receiving HUD assistance and HUD-assistance-eligible adults not receiving HUD assistance at the time of their NHANES examination. We estimated propensity scores to adjust for potential confounders among linkage-eligible adults who had an income-to-poverty ratio less than 2 and were not receiving HUD assistance. Sensitivity analysis used 2013-2018 NHANES cycles to account for disability status. Results: Adults not receiving HUD assistance had a significantly lower adjusted prevalence of obesity (42.1%; 95% CI, 40.4%-43.8%) compared with adults receiving HUD assistance (47.5%; 95% CI, 44.8%-50.3%), but we found no differences for diabetes and hypertension. We found significant associations between housing assistance and obesity (adjusted odds ratio = 1.29; 95% CI, 1.12-1.47), but these were not significant in the sensitivity analysis with and without controlling for disability status. We found no significant associations between housing assistance and diabetes or hypertension. Conclusion: Based on data from a cross-sectional survey, we observed a higher prevalence of obesity among adults with HUD assistance compared with HUD-assistance-eligible adults without HUD assistance. Results from this study can help inform research on understanding the prevalence of chronic disease among adults with HUD assistance.

Tenant-Based Housing Voucher Programs: A Community Guide Systematic Review.

CONTEXT: Unaffordable or insecure housing is associated with poor health in children and adults. Tenant-based housing voucher programs (voucher programs) limit rent to 30% or less of household income to help households with low income obtain safe and affordable housing. OBJECTIVE: To determine the effectiveness of voucher programs in improving housing, health, and other health-related outcomes for households with low income. DESIGN: Community Guide systematic review methods were used to assess intervention effectiveness and threats to validity. An updated systematic search based on a previous Community Guide review was conducted for literature published from 1999 to July 2019 using electronic databases. Reference lists of included studies were also searched. ELIGIBILITY CRITERIA: Studies were included if they assessed voucher programs in the United States, had concurrent comparison populations, assessed outcomes of interest, were written in English, and published in peer-reviewed journals or government reports. MAIN OUTCOME MEASURES: Housing quality and stability, neighborhood opportunity (safety and poverty), education, income, employment, physical and mental health, health care use, and risky health behavior. RESULTS: Seven studies met inclusion criteria. Compared with low-income households not offered vouchers, voucher-using households reported increased housing quality (7.9 percentage points [pct pts]), decreased housing insecurity or homelessness (-22.4 pct pts), and decreased neighborhood poverty (-5.2 pct pts).Adults in voucher-using households had improved health care access and physical and mental health. Female youth experienced better physical and mental health but not male youth. Children who entered the voucher programs under 13 years of age had improved educational attainment, employment, and income in their adulthood; children's gains in these outcomes were inversely related to their age at program entry. CONCLUSION: Voucher programs improved health and several health-related outcomes for voucher-using households, particularly young children. Research is still needed to better understand household's experiences and contextual factors that influence achievement of desired outcomes.

Lead Data Mapping to Prioritize US Locations for Whole-of-Government Exposure Prevention Efforts: State of the Science, Federal Collaborations, and Remaining Challenges.

For this state-of-science overview of geospatial approaches for identifying US communities with high lead-exposure risk, we compiled and summarized public data and national maps of lead indices and models, environmental lead indicators, and children's blood lead surveillance data. Currently available indices and models are primarily constructed from housing-age and sociodemographic data; differing methods, variables, data, weighting schemes, and geographic scales yield maps with different exposure risk profiles. Environmental lead indicators are available (e.g., air, drinking water, dust, soil) at different spatial scales, but key gaps remain. Blood lead level data have limitations as testing, reporting, and completeness vary across states. Mapping tools and approaches developed by federal agencies and other groups for different purposes present an opportunity for greater collaboration. Maps, data visualization tools, and analyses that synthesize available geospatial efforts can be evaluated and improved with local knowledge and blood lead data to refine identification of high-risk locations for prioritizing prevention efforts and targeting risk-reduction strategies. Remaining challenges are discussed along with a work-in-progress systematic approach for cross-agency data integration, toward advancing "whole-of-government" public health protection from lead exposures. (Am J Public Health. 2022;112(S7):S658-S669. https://doi.org/10.2105/AJPH.2022.307051).

Health disparities among Social Security Disability Insurance and Supplemental Security Income beneficiaries who participate in federal rental housing assistance programs.

BACKGROUND: Approximately 1.2 million non-elderly adults jointly participate in U.S. Department of Urban Development (HUD) rental housing assistance and Social Security Administration (SSA) disability programs (Social Security Disability Insurance (DI) and Supplemental Security Income (SSI), yet information about the health of these program participants is limited. OBJECTIVE: /Hypothesis. Non-elderly DI and/or SSI participants participating in HUD-assisted rental housing programs face unique health disparities. METHODS: Using newly available 2013-2016 National Health Interview Survey (NHIS) data linked with U.S. Department of Housing and Urban Development (HUD) administrative records on public and assisted housing programs, multivariate analyses were used to highlight differences in health status, health behaviors, health care utilization, and financial worry about health and housing costs between non-elderly persons participating in HUD rental housing assistance programs who were and who were not also participating in DI and/or SSI. RESULTS: The focal population had higher predicted probabilities of fair or poor health status, chronic condition diagnoses (hypertension, asthma, diabetes), and obesity than others but a lower probability of smoking (p < .05). Engagement with the health care system is high, yet 32% needed but could not afford services in the past year. CONCLUSIONS: Opportunities for joint intervention between HUD and SSA to improve the health of their program participants are discussed.

Identifying Jurisdictions at Risk of Containing Housing Units With Deteriorated Paint: Results and Targeting Implications for the US Department of Housing and Urban Development.

CONTEXT: The US Department of Housing and Urban Development provides millions in annual funding to make low-income housing lead safe, but funds are limited relative to need. To adequately target efforts, local program administrators must identify neighborhoods that are the most "at risk" of residential lead exposure; however, no federal agency currently provides a public data set for this use. OBJECTIVES: To examine pre-1980 households with large areas of deteriorated paint, a significant and common predictor of lead dust, and identify high-risk jurisdictions. To highlight the potential use of a newly available data set for strategic lead poisoning prevention and targeting. DESIGN: Microdata from the 2011 American Housing Survey and the 2009-2013 American Community Survey were used to develop a household-level predicted risk metric that identifies housing units at risk of containing large areas of deteriorated paint. Predicted risk, defined as the mean predicted percentage of occupied housing units at risk of containing deteriorated paint within a given jurisdiction, was summarized by state, county, and tract. SETTING: National, all occupied housing units. PARTICIPANTS: Occupied housing units summarized by household (n = 9 363 000), census tract (n = 72 235), county (n = 3143), and state (n = 51). MAIN OUTCOME MEASURE: Housing units built prior to 1980 with a large area of deteriorated paint. RESULTS: New York, Rhode Island, New Jersey, Massachusetts, and Pennsylvania had the highest predicted percentage of at-risk households (range: 2.52%-2.90%). County-level and tract-level estimates are the most useful when examining a predefined jurisdiction; New York state was presented as a case study. County-level quartile risk scores revealed Albany as an at-risk jurisdiction. Tract-level quartile risk scores further identified at-risk neighborhoods in northeastern Albany. CONCLUSIONS: Findings can help housing and health policy makers identify and target geographic areas with a high probability of households at risk of potential exposure to deteriorated lead-based paint.

Permanent Supportive Housing With Housing First to Reduce Homelessness and Promote Health Among Homeless Populations With Disability: A Community Guide Systematic Review.

CONTEXT: Poor physical and mental health and substance use disorder can be causes and consequences of homelessness. Approximately 2.1 million persons per year in the United States experience homelessness. People experiencing homelessness have high rates of emergency department use, hospitalization, substance use treatment, social services use, arrest, and incarceration. OBJECTIVES: A standard approach to treating homeless persons with a disability is called Treatment First, requiring clients be "housing ready"-that is, in psychiatric treatment and substance-free-before and while receiving permanent housing. A more recent approach, Housing First, provides permanent housing and health, mental health, and other supportive services without requiring clients to be housing ready. To determine the relative effectiveness of these approaches, this systematic review compared the effects of both approaches on housing stability, health outcomes, and health care utilization among persons with disabilities experiencing homelessness. DESIGN: A systematic search (database inception to February 2018) was conducted using 8 databases with terms such as "housing first," "treatment first," and "supportive housing." Reference lists of included studies were also searched. Study design and threats to validity were assessed using Community Guide methods. Medians were calculated when appropriate. ELIGIBILITY CRITERIA: Studies were included if they assessed Housing First programs in high-income nations, had concurrent comparison populations, assessed outcomes of interest, and were written in English and published in peer-reviewed journals or government reports. MAIN OUTCOME MEASURES: Housing stability, physical and mental health outcomes, and health care utilization. RESULTS: Twenty-six studies in the United States and Canada met inclusion criteria. Compared with Treatment First, Housing First programs decreased homelessness by 88% and improved housing stability by 41%. For clients living with HIV infection, Housing First programs reduced homelessness by 37%, viral load by 22%, depression by 13%, emergency departments use by 41%, hospitalization by 36%, and mortality by 37%. CONCLUSIONS: Housing First programs improved housing stability and reduced homelessness more effectively than Treatment First programs. In addition, Housing First programs showed health benefits and reduced health services use. Health care systems that serve homeless patients may promote their health and well-being by linking them with effective housing services.