Housing Interventions at the Neighborhood Level and Health: A Review of the Evidence

Multilevel interactions between family and neighbourhood socioeconomic indices in childhood and later risks of self-harm and violent criminality in Denmark: a national cohort study

BACKGROUND

A socioeconomically disadvantaged childhood has been associated with elevated self-harm and violent criminality risks during adolescence and young adulthood. However, whether these risks are modified by a neighbourhood's socioeconomic profile is unclear. The aim of our study was to compare risks among disadvantaged young people residing in deprived areas versus risks among similarly disadvantaged individuals residing in affluent areas.

METHODS

We did a national cohort study, using Danish interlinked national registers, from which we delineated a longitudinal cohort of people born in Denmark between Jan 1, 1981, and Dec 31, 2001, with two Danish-born parents, who were alive and residing in the country when they were aged 15 years, who were followed up for a hospital-treated self-harm episode or violent crime conviction. A neighbourhood affluence indicator was derived based on nationwide income quartiles, with parental income and educational attainment indicating the socioeconomic position of each cohort member's family. Bayesian multilevel survival analyses were done to examine the moderating influences of neighbourhood affluence on associations between family socioeconomic position and sex-specific risks for the two adverse outcomes.

FINDINGS

1 084 047 cohort members were followed up for 12·8 million person-years in aggregate. Individuals of a low socioeconomic position residing in deprived neighbourhoods had a higher incidence of both self-harm and violent criminality compared with equivalently disadvantaged peers residing in affluent areas. Women from a low-income background residing in affluent areas had, on average, 95 (highest density interval 76-118) fewer self-harm episodes and 25 (15-41) fewer violent crime convictions per 10 000 person-years compared with women of an equally low income residing in deprived areas, whereas men of a low income residing in affluent areas had 61 (39-81) fewer self-harm episodes and 88 (56-191) fewer violent crime convictions per 10 000 person-years than men of a low income residing in deprived areas.

INTERPRETATION

Even in a high-income European country with comprehensive social welfare and low levels of poverty and inequality, individuals residing in affluent neighbourhoods have lower risks of self-harm and violent criminality compared with individuals residing in deprived neighbourhoods. More research is needed to explore the potential of neighbourhood policies and interventions to reduce the harmful effects of growing up in socioeconomically deprived circumstances on later risk of self-harm and violent crime convictions.

FUNDING

European Research Council, Lundbeck Foundation Initiative for Integrative Psychiatric Research, and BERTHA, the Danish Big Data Centre for Environment and Health funded by the Novo Nordisk Foundation Challenge Programme.

The importance of administrative data in the evaluation of the incidence of social housing allowance programmes

The aim of this work is to assess the rental assistance programme that was implemented by the Catalan regional government in the 2010s using administrative data provided by the Catalonia Housing Agency to analyse whether it achieved its aims to enhance the design of similar programmes. Linear probability models to explain the probability of receiving the grant were estimated and some significant variables were identified: age; rent price; expertise; being a woman; non-EU citizenship and the number of old, young or disabled members. Multiple regressions were estimated in regard to the grant's rate in relation to the rent price and the effort required to pay relative to income after having received the grant. The results suggest that rental assistance facilitates access to housing to groups that face more difficulties and that the revenue captured by landlords, although statistically significant, is small, since they capture approximately 3% by raising prices. This aid, despite being controlled by different variables, benefits elderly people more than young people, which must be addressed because, theoretically, when access requirements are met, no group should benefit more than others.

The long shadow of residential racial segregation: Associations between childhood residential segregation trajectories and young adult health among Black US Americans

Residential racial segregation is a key manifestation of anti-Black structural racism, thought to be a fundamental cause of poor health; evidence has shown that it yields neighborhood disinvestment, institutional discrimination, and targeting of unhealthy products like tobacco and alcohol. Yet research on the long-term impacts of childhood exposure to residential racial segregation is limited. Here, we analyzed data on 1823 Black participants in the Panel Study of Income Dynamics, estimating associations between childhood segregation trajectories and young adult health. Black young adults who consistently lived in high-segregation neighborhoods throughout childhood experienced unhealthier smoking and drinking behaviors and higher odds of obesity compared to other trajectory groups, including children who moved into or out of high-segregation neighborhoods. Results were robust to controls for neighborhood and family poverty. Findings underscore that for Black children who grow up in segregated neighborhoods, the roots of structurally-determined health inequities are established early in life.

Association Between Neighborhood Disadvantage and Fertility Among Pregnancy Planners in the US

IMPORTANCE

Decades of inequitable policies in the US have yielded disparities in neighborhood quality, and some studies show that living in a socioeconomically disadvantaged neighborhood is associated with worse health outcomes, including reproductive health outcomes. However, no US studies to date have directly examined the association between residence in disadvantaged neighborhoods and fertility.

OBJECTIVE

To examine the association between residence in disadvantaged neighborhoods and fecundability, a sensitive marker of fertility with many health implications.

DESIGN, SETTING, AND PARTICIPANTS

This prospective preconception cohort study used the Pregnancy Study Online, for which baseline data were collected from June 19, 2013, through April 12, 2019. The study included 6356 participants who identified as female, were 21 to 45 years of age, were attempting conception without fertility treatment, and provided a valid residential address in the contiguous US at enrollment.

EXPOSURES

A standardized area deprivation index (ADI) derived at the census block group level applied to each residential address.

MAIN OUTCOMES AND MEASURES

Fecundability, the per-cycle probability of conception, via questionnaires that were completed every 8 weeks for 12 months, until conception or a censoring event. Proportional probabilities models were used to estimate fecundability ratios and 95% CIs for associations between ADI and fecundability. Restricted cubic splines were also implemented to examine nonlinearity. Models were adjusted for demographic characteristics and factors associated with fertility. The study's a priori hypothesis was that higher levels of neighborhood disadvantage would be associated with decreased fecundability.

RESULTS

Among 6356 participants, 3725 pregnancies were observed for 27 427 menstrual cycles of follow-up. The mean (SD) baseline age was 30.0 (4.1) years, and most participants were non-Hispanic White (5297 [83.3%]) and nulliparous (4179 [65.7%]). Comparing the top and bottom deciles of disadvantaged neighborhood status, adjusted fecundability ratios were 0.79 (95% CI, 0.66-0.96) for national-level ADI rankings and 0.77 (95% CI, 0.65-0.92) for within-state ADI rankings. Restricted cubic splines showed some evidence of nonlinearity in the association. Associations were slightly stronger among participants with lower annual incomes (<$50 000).

CONCLUSIONS AND RELEVANCE

In this cohort study, residence in a socioeconomically disadvantaged neighborhood was associated with moderately decreased fecundability. If confirmed in other studies, these results suggest that investments to reduce disadvantaged neighborhood status may yield positive cobenefits for fertility.

A Systematic Review of Public Housing, Poverty (De)Concentration, and Risk Behaviors: What About Youth?

Mobility housing programs aim to deconcentrate poverty in public housing areas. Previous synthesis research results describe the potential negative impact of mobility programs on the physical and mental health of youth. The current systematic review aims to expand our knowledge of the effects of living in a public housing development and leaving public housing and moving to a new neighborhood on youth risk behaviors, including both general crime/delinquency and substance use, sexual risk behavior, behavioral problems, and binge drinking. The systematic review process produced 7 primary research studies on public housing effects and 10 research studies on resettlement effects. Regarding public housing effects, five studies found a higher incidence of youth risk behaviors in public housing areas, while two studies concluded that not all children and adolescents living in public housing areas are adversely affected by the local environment. Of the 10 studies on the effects of relocation from public housing to other areas, 2 non-randomized controlled trial (RCT) studies found negative impacts, but 8 RCT studies found diversity in relocation effects on youth risk behaviors. These results highlight the need for tailored services for relocated youth taking into consideration their gender, age, family characteristics, and relocation sites. No studies on diversification housing projects satisfied the inclusion criteria in the current systematic review. With a thorough examination of the literature and a discussion of implications, a clear path for future inquiry and youth interventions is presented.

Permanent Supportive Housing Design Characteristics Associated with the Mental Health of Formerly Homeless Adults in the U.S. and Canada: An Integrative Review

The built environment directly and indirectly affects mental health, especially for people transitioning from long-term homelessness to permanent supportive housing (PSH) who often experience co-occurring behavioral health challenges. Despite a rapid increase in PSH availability, little research examines influences of architecture and design within this context. This integrative review synthesized limited research on PSH design in the U.S. and Canada to identify built environment characteristics associated with PSH residents’ mental health, highlight gaps in the literature, and prioritize future research directions. A systematic search for peer-reviewed articles was conducted using nine databases drawing from multiple disciplines including architecture, environmental psychology, interior design, psychology, psychiatry, medicine, and nursing. Seventeen articles met inclusion criteria. Study design, methodology, built environment properties, place attributes, and relevant findings were extracted and iteratively analyzed. Three domains relevant to architecture and design were identified related to home, ontological security, and trauma sensitivity; dwelling unit type, privacy, control, safety, housing quality and location, and access to amenities; and shared common space. Integrative review results emphasize the potential of architecture and design to contribute to improved built environment quality and mental health outcomes among PSH residents. Methodological limitations and directions for future research are also discussed.

Pathways linking census tract typologies with subjective neighborhood disorder and depressive symptoms in the Black Women's Experiences Living with Lupus (BeWELL) Study

Depression is a common comorbidity among Black women with systemic lupus erythematosus (SLE), an understudied autoimmune disease characterized by major racial and gender inequities. Research is needed that examines how area-level factors influence risk of depression in this population. Latent profile analysis revealed four neighborhood typologies among metropolitan Atlanta, Georgia census tracts that participants (n=438) in the Black Women's Experiences Living with Lupus (BeWELL) Study were living in: Integrated/High-SES, Moderately Segregated/Mid-SES, Highly Segregated/Mid-SES, and Highly Segregated/Low-SES. Structural equation models indicated that highly segregated census tracts were associated with the greatest levels of depression via increased subjective assessments of neighborhood disorder. Policies that invest in segregated areas and address physical and social aspects of the environment that contribute to neighborhood disorder may promote mental health among Black women with SLE.

A comprehensive review of prioritised interventions to improve the health and wellbeing of persons with lived experience of homelessness

Background

Homelessness has emerged as a public health priority, with growing numbers of vulnerable populations despite advances in social welfare. In February 2020, the United Nations passed a historic resolution, identifying the need to adopt social-protection systems and ensure access to safe and affordable housing for all. The establishment of housing stability is a critical outcome that intersects with other social inequities. Prior research has shown that in comparison to the general population, people experiencing homelessness have higher rates of infectious diseases, chronic illnesses, and mental-health disorders, along with disproportionately poorer outcomes. Hence, there is an urgent need to identify effective interventions to improve the lives of people living with homelessness.

Objectives

The objective of this systematic review is to identify, appraise, and synthesise the best available evidence on the benefits and cost-effectiveness of interventions to improve the health and social outcomes of people experiencing homelessness.

Search Methods

In consultation with an information scientist, we searched nine bibliographic databases, including Medline, EMBASE, and Cochrane CENTRAL, from database inception to February 10, 2020 using keywords and MeSH terms. We conducted a focused grey literature search and consulted experts for additional studies.

Selection Criteria

Teams of two reviewers independently screened studies against our inclusion criteria. We included randomised control trials (RCTs) and quasi-experimental studies conducted among populations experiencing homelessness in high-income countries. Eligible interventions included permanent supportive housing (PSH), income assistance, standard case management (SCM), peer support, mental health interventions such as assertive community treatment (ACT), intensive case management (ICM), critical time intervention (CTI) and injectable antipsychotics, and substance-use interventions, including supervised consumption facilities (SCFs), managed alcohol programmes and opioid agonist therapy. Outcomes of interest were housing stability, mental health, quality of life, substance use, hospitalisations, employment and income.

Data Collection and Analysis

Teams of two reviewers extracted data in duplicate and independently. We assessed risk of bias using the Cochrane Risk of Bias tool. We performed our statistical analyses using RevMan 5.3. For dichotomous data, we used odds ratios and risk ratios with 95% confidence intervals. For continuous data, we used the mean difference (MD) with a 95% CI if the outcomes were measured in the same way between trials. We used the standardised mean difference with a 95% CI to combine trials that measured the same outcome but used different methods of measurement. Whenever possible, we pooled effect estimates using a random-effects model.

Main Results

The search resulted in 15,889 citations. We included 86 studies (128 citations) that examined the effectiveness and/or cost-effectiveness of interventions for people with lived experience of homelessness. Studies were conducted in the United States (73), Canada (8), United Kingdom (2), the Netherlands (2) and Australia (1). The studies were of low to moderate certainty, with several concerns regarding the risk of bias. PSH was found to have significant benefits on housing stability as compared to usual care. These benefits impacted both high- and moderate-needs populations with significant cimorbid mental illness and substance-use disorders. PSH may also reduce emergency department visits and days spent hospitalised. Most studies found no significant benefit of PSH on mental-health or substance-use outcomes. The effect on quality of life was also mixed and unclear. In one study, PSH resulted in lower odds of obtaining employment. The effect on income showed no significant differences. Income assistance appeared to have some benefits in improving housing stability, particularly in the form of rental subsidies. Although short-term improvement in depression and perceived stress levels were reported, no evidence of the long-term effect on mental health measures was found. No consistent impact on the outcomes of quality of life, substance use, hospitalisations, employment status, or earned income could be detected when compared with usual services. SCM interventions may have a small beneficial effect on housing stability, though results were mixed. Results for peer support interventions were also mixed, though no benefit was noted in housing stability specifically. Mental health interventions (ICM, ACT, CTI) appeared to reduce the number of days homeless and had varied effects on psychiatric symptoms, quality of life, and substance use over time. Cost analyses of PSH interventions reported mixed results. Seven studies showed that PSH interventions were associated with increased cost to payers and that the cost of the interventions were only partially offset by savings in medical- and social-services costs. Six studies revealed that PSH interventions saved the payers money. Two studies focused on the cost-effectiveness of income-assistance interventions. For each additional day housed, clients who received income assistance incurred additional costs of US$45 (95% CI, -$19, -$108) from the societal perspective. In addition, the benefits gained from temporary financial assistance were found to outweigh the costs, with a net savings of US$20,548. The economic implications of case management interventions (SCM, ICM, ACT, CTI) was highly uncertain. SCM clients were found to incur higher costs than those receiving the usual care. For ICM, all included studies suggested that the intervention may be cost-offset or cost-effective. Regarding ACT, included studies consistently revealed that ACT saved payers money and improved health outcomes than usual care. Despite having comparable costs (US$52,574 vs. US$51,749), CTI led to greater nonhomeless nights (508 vs. 450 nights) compared to usual services.

Authors' Conclusions

PSH interventions improved housing stability for people living with homelessness. High-intensity case management and income-assistance interventions may also benefit housing stability. The majority of included interventions inconsistently detected benefits for mental health, quality of life, substance use, employment and income. These results have important implications for public health, social policy, and community programme implementation. The COVID-19 pandemic has highlighted the urgent need to tackle systemic inequality and address social determinants of health. Our review provides timely evidence on PSH, income assistance, and mental health interventions as a means of improving housing stability. PSH has major cost and policy implications and this approach could play a key role in ending homelessness. Evidence-based reviews like this one can guide practice and outcome research and contribute to advancing international networks committed to solving homelessness.

Evaluating the health effect of a Social Housing programme, Minha Casa Minha Vida, using the 100 million Brazilian Cohort: a natural experiment study protocol

INTRODUCTION

Social housing programmes have been shown to influence health, but their effects on cardiovascular mortality and incidence of infectious diseases, such as leprosy and tuberculosis, are unknown. We will use individual administrative data to evaluate the effect of the Brazilian housing programme Minha Casa Minha Vida (MCMV) on cardiovascular disease (CVD) mortality and incidence of leprosy and tuberculosis.

METHODS AND ANALYSIS

We will link the baseline of the 100 Million Brazilian Cohort (2001-2015), which includes information on socioeconomic and demographic variables, to the MCMV (2009-2015), CVD mortality (2007-2015), leprosy (2007-2015) and tuberculosis (2007-2015) registries. We will define our exposed population as individuals who signed the contract to receive a house from MCMV, and our non-exposed group will be comparable individuals within the cohort who have not signed a contract for a house at that time. We will estimate the effect of MCMV on health outcomes using different propensity score approaches to control for observed confounders. Follow-up time of individuals will begin at the date of exposure ascertainment and will end at the time a specific outcome occurs, date of death or end of follow-up (31 December 2015). In addition, we will conduct stratified analyses by the follow-up time, age group, race/ethnicity, gender and socioeconomic position.

ETHICS AND DISSEMINATION

The study was approved by the ethic committees from Instituto Gonçalo Muniz-Oswaldo Cruz Foundation and University of Glasgow Medical, Veterinary and Life Sciences College. Data analysis will be carried out using an anonymised dataset, accessed by researchers in a secure computational environment according to the Centre for Integration of Data and Health Knowledge procedures. Study findings will be published in high quality peer-reviewed research journals and will also be disseminated to policy makers through stakeholder events and policy briefs.

The relationship between buildings and health: a systematic review

Background

The built environment exerts one of the strongest directly measurable effects on physical and mental health, yet the evidence base underpinning the design of healthy urban planning is not fully developed.

Method

This study provides a systematic review of quantitative studies assessing the impact of buildings on health. In total, 7127 studies were identified from a structured search of eight databases combined with manual searching for grey literature. Only quantitative studies conducted between January 2000 and November 2016 were eligible for inclusion. Studies were assessed using the quality assessment tool for quantitative studies.

Results

In total, 39 studies were included in this review. Findings showed consistently that housing refurbishment and modifications, provision of adequate heating, improvements to ventilation and water supply were associated with improved respiratory outcomes, quality of life and mental health. Prioritization of housing for vulnerable groups led to improved wellbeing. However, the quality of the underpinning evidence and lack of methodological rigour in most of the studies makes it difficult to draw causal links.

Conclusion

This review identified evidence to demonstrate the strong association between certain features of housing and wellbeing such as adequate heating and ventilation. Our findings highlight the need for strengthening of the evidence base in order for meaningful conclusions to be drawn.

Concomitant exposure to area-level poverty, ambient air volatile organic compounds, and cardiometabolic dysfunction: a cross-sectional study of U.S. adolescents

PURPOSE

A key to better understanding the influence of the place of residence on cardiometabolic function is the effect of concomitant exposure to both air pollution and residence in economically marginalized areas. We hypothesized that, among adolescents, the association between air pollution and cardiometabolic function is exacerbated among residents of economically marginalized areas.

METHODS

In this cross-sectional study, individual-level data on cardiometabolic function collected from a representative sample of U.S. adolescents in the National Health and Nutrition Examination Survey (n = 10,415) were merged with data on area-level poverty (U.S. decennial survey and American Community Survey) and air pollution levels (National-Scale Air Toxics Assessment ) using contemporary census-tract identifiers. We excluded respondents who were pregnant, had hypertension or diabetes or using medication for hypertension or diabetes, or with missing data on outcome variables.

RESULTS

We observed a significant interaction between area-level poverty and air pollution. Among residents of high-poverty areas, exposure to high levels of air pollution predicted a 30% elevated odds of cardiometabolic dysfunction (OR = 1.30; 95% CI: 1.04, 1.61), whereas in low-poverty areas, exposure to high levels of air pollution was not associated with elevated odds of cardiometabolic dysfunction (OR = 1.04; 95% CI: 0.85, 1.28).

CONCLUSIONS

Our findings suggest that the cardiometabolic consequences of air pollution are more readily realized among residents of economically marginalized areas. Structural remedies are discussed.

'Home is where the health is': Housing quality and adult health outcomes in the Survey of Income and Program Participation

Nearly a quarter of the homes in the United States were considered unhealthy or inadequate, but whether these housing characteristics have direct effects on health or whether they are driven by other contextual housing and neighborhood characteristics remains unclear. The purpose of this study was to quantify the independent associations between poor housing quality and adult health outcomes, adjusting for socioeconomic factors (e.g. income to poverty ratio, food insecurity) and other contextual housing characteristics (e.g. rental status, number of people per household, unsafe neighborhood). Using in-person household interview data from wave 1 of the 2014 Survey of Income and Program Participation (SIPP), a secondary analysis was performed using a series of logistic regression models. The 2014 SIPP sample is a multistage stratified sample of 53,070 housing units designed to represent the civilian, noninstitutionalized population of the United States (N = 55,281 adults ages 18 and older). Our results indicate that each additional poor housing characteristic was associated with poorer health status (OR: 1.17, CI [1.11, 1.23]), higher medical utilization (OR: 1.11 CI: [1.06, 1.16]), and a higher likelihood of hospitalization (OR: 1.07, CI [1.02, 1.12]). Non-housing-related government assistance, food security, and safe neighborhoods only partially explained associations between housing quality and health outcomes. Evaluating current local, state, and federal policy on housing quality standards may help determine if these standards decrease the number of Americans residing in inadequate homes or result in improvements in health and reductions in healthcare costs. Simply put, the home is where [we suggest] the health is.

Cross-sectional analysis of place-based and racial disparities in hospitalisation rates by disease category in California in 2001 and 2011

OBJECTIVES

To study the association of place-based socioeconomic factors with disease distribution by comparing hospitalisation rates in California in 2001 and 2011 by zip code median household income.

DESIGN

Serial cross-sectional study testing the association between hospitalisation rates and zip code-level median income, with subgroup analyses by zip code income and race.

PARTICIPANTS/SETTING

Our study included all hospitalised adults over 18 years old living in California in 2001 and 2011 who were not pregnant or incarcerated. This included all acute-care hospitalisations in California including 1632 zip codes in 2001 and 1672 zip codes in 2011.

PRIMARY AND SECONDARY OUTCOMES

We compared age-standardised hospitalisations per 100 000 persons, overall and for several disease categories.

RESULTS

There were 1.58 and 1.78 million hospitalisations in California in 2001 and 2011, respectively. Spatial analysis showed the highest hospitalisation rates in urban inner cities and rural areas, with more than 5000 hospitalisations per 100 000 persons. Hospitalisations per 100 000 persons were consistently highest in the lowest zip code income quintile and particularly among black patients.

CONCLUSION

Hospitalisation rates rose from 2001 to 2011 among Californians living in low-income and middle-income zip codes. Integrating spatially defined state hospital discharge and federal zip code income data provided a granular description of disease burden. This method may help identify high-risk areas and evaluate public health interventions targeting health disparities.

Examining neighborhood poverty-based disparities in HIV/STI prevalence: an analysis of Add Health data

PURPOSE

The purpose of the study was to estimate the effect of exposure to neighborhood poverty in adolescence on HIV/STI prevalence in early adulthood.

METHODS

Longitudinal data from three waves of the National Longitudinal Study of Adolescent to Adult Health were analyzed. The primary exposure was living in a high- versus medium/low-poverty neighborhood during wave I. The outcome was having a sexually transmitted infection (STI) or receiving a HIV/STI diagnosis in the past 12 months at wave III. Covariates included sociodemographic, behavioral, and mental health-related factors. Inverse probability weighted marginal structural models were used to estimate neighborhood poverty-based differences in HIV/STI prevalence.

RESULTS

The analytic sample comprised 8232 National Longitudinal Study of Adolescent to Adult Health participants. Of these, 16% and 84% resided in high- and medium/low-poverty neighborhoods, respectively. Eleven percent currently had an STI or HIV/STI diagnosis within the prior 12 months. Accounting for measured potential sources of confounding and selection bias, the HIV/STI prevalence difference (95% confidence limits) for those who grew up in high- versus medium/low-poverty neighborhoods was 0.015 (-0.015, 0.045).

CONCLUSIONS

Strong evidence for neighborhood poverty-based differences in HIV/STI prevalence was not observed. Researchers should continue to investigate the effect of neighborhood-level socioeconomic position measures and, if warranted, identify etiologically relevant exposure periods.

Housing Relocation Policy and Violence: A Literature Review

This article summarizes and reviews the cross-discipline literature on violent crime in destination neighborhoods postrelocation in order to build a more comprehensive picture of risk factors for violence, as well as how and why housing policies influence risk of violence. High rates of violent crime continue to be a persistent problem in areas of concentrated poverty and public housing. Modern housing programs such as Moving to Opportunity and Housing Opportunities for People Everywhere are popular interventions for reducing the density of low-income people receiving public housing assistance by relocating residents of distressed housing projects. However, evidence suggests that relocated residents may not experience less violence or improved safety in their new communities.

San Francisco children living in redeveloped public housing used acute services less than children in older public housing

Understanding the links between housing and health is increasingly important. Poor housing quality is a predictor of poor health and developmental problems in low-income children. We examined associations between public housing type and recurrent pediatric emergency and urgent care hospital visits. Children ages 0-18 with public insurance who sought emergency care from any of three large medical systems in San Francisco were categorized by whether they lived in public housing redeveloped through the federal HOPE VI program, nonredeveloped public housing, or nonpublic housing in a census tract that also contained public housing. After we adjusted for potential confounding characteristics, we found that children living in nonredeveloped public housing were 39 percent more likely to have one or more repeat visits within one year for acute health care services unrelated to the initial visit, compared to children who lived in redeveloped HOPE VI housing. We observed no differences in repeat visits between children in redeveloped HOPE VI housing and those in nonpublic housing. These findings support the continued redevelopment of public housing as a means of both improving the health of vulnerable high-risk children from low-income neighborhoods and reducing health care costs.

Housing Quality in a Randomized Controlled Trial of Housing First for Homeless Individuals with Mental Illness: Correlates and Associations with Outcomes

Housing quality (HQ) is associated with mental health, and may mediate outcomes in housing interventions. However, studies of housing interventions rarely report HQ. The purpose of this study was to describe HQ in a multi-site randomized controlled trial of Housing First (HF) in five Canadian cities and to examine possible differences by treatment group (HF recipients and treatment-as-usual (TAU) participants who were able to find housing through other programs or on their own). We also examined the association between HQ and the primary trial outcome: housing stability. The performance of a new multi-dimensional standardized observer-rated housing quality scale (the OHQS) in a relatively large cross-site sample was also of interest. HQ was rated by trained research assistants for 204 HF participants and 228 TAU participants using the OHQS. General linear regression models were used to examine unit/building quality scores by group and site adjusting for other group differences, and as a predictor of housing stability outcomes after 24 months of follow-up. The OHQS was found to have good reliability and validity, but because most of the neighborhood subscale items were negatively correlated with the overall scale, only unit and building items were included in the total HQ score (possible scores ranging from 13.5 to 135). Unit/building HQ was significantly better for the HF group overall (91.2 (95 % CI = 89.6-92.9) vs. 88.3 (95 % CI = 86.1-90.5); p = .036), and in one site. HQ in the TAU group was much more variable than the HF group overall (W (mean) = 24.7; p < .001) and in four of five sites. Unit/building HQ scores were positively associated with housing stability: (73.4 (95 % CI 68.3-78.5) for those housed none of the time; 91.1 (95 % CI 89.2-93.0) for those housed some of the time; and 93.1 (95 % CI 91.4-94.9)) for those housed all of the time (F = 43.9 p < .001). This association held after adjusting for site, housing characteristics, participant ethnocultural status, community functioning, and social support. This study demonstrates that HQ can be as good or better, and less variable, in HF programs in Canada that systematically and predominantly source housing stock from the private sector compared to housing procured outside of an HF program. HQ is also an important predictor of housing stability outcomes.

The Consistency Assumption for Causal Inference in Social Epidemiology: When a Rose is Not a Rose

The assumption that exposures as measured in observational settings have clear and specific definitions underpins epidemiologic research and allows us to use observational data to predict outcomes in interventions. This leap between exposures as measured and exposures as intervened upon is typically supported by the consistency assumption. The consistency assumption has received extensive attention in risk factor epidemiology but relatively little emphasis in social epidemiology. However, violations of the consistency assumption may be especially important to consider when understanding how social and economic exposures influence health. Efforts to clarify the definitions of our exposures, thus bolstering the consistency assumption, will help guide interventions to improve population health and reduce health disparities. This article focuses on the consistency assumption as considered within social epidemiology. We explain how this assumption is articulated in the causal inference literature and give examples of how it might be violated for three common exposure in social epidemiology research: income, education and neighborhood characteristics. We conclude that there is good reason to worry about consistency assumption violations in much of social epidemiology research. Theoretically motivated explorations of mechanisms along with empirical comparisons of research findings under alternative operationalizations of exposure can help identify consistency violations. We recommend that future social epidemiology studies be more explicit to name and discuss the consistency assumption when describing the exposure of interest, including reconciling disparate results in the literature.

[Impact of the crisis on the relationship between housing and health. Policies for good practice to reduce inequalities in health related to housing conditions]

Housing conditions can impact on physical and mental health through 4 interrelated dimensions: 1) the home (the emotional housing conditions), 2) the physical housing conditions, and 3) the physical environment, and 4) the social (community) environment of the neighborhood where the house is located. In Spain, the use of the construction market as an engine for economic growth and the promotion of private property as the main type of housing tenure has led to the use of housing as a speculative good instead of its being considered a first-necessity good. While Spain is the Organisation for Economic Co-operation and Development (OECD) country with the largest housing stock per inhabitant, this stock is highly underutilized, thus excluding the most deprived sector of the population from access to housing. The impact of the current economic crisis on housing has mainly been due to a reduction in household income, which has increased the number of families or persons struggling to cover their housing costs or being evicted. Evidence indicates that this type of problem has a negative impact on health, especially on mental health, but financial problems also make it difficult to meet other basic needs such as eating. There are several instruments to reduce the impact of the economic crisis, such as debt financing or deed of assignment in payment. In the long-term, the creation of a social housing stock should be promoted, as well as rental assistance mechanisms.

Do Social and Economic Policies Influence Health? A Review

Although social and economic policies are not considered part of health services infrastructure, such policies may influence health and disease by altering social determinants of health (SDH). We review social and economic policies in the US that have measured health outcomes among adults in four domains of SDH including housing and neighborhood, employment, family strengthening/marriage, and income supplementation. The majority of these policies target low-income populations. These social policies rarely consider health as their initial mission or outcomes. When measuring health, the programs document mental health and physical health benefits more than half the time, although some effects fade with time. We also find considerable segregation of program eligibility by gender and family composition. Policy makers should design future social policies to evaluate health outcomes using validated health measures; to target women more broadly across the socioeconomic spectrum; and to consider family caregiving responsibilities as ignoring them can have unintended health effects.

Development and initial validation of the Observer-Rated Housing Quality Scale (OHQS) in a multisite trial of housing first

Quality of housing has been shown to be related to health outcomes, including mental health and well-being, yet "objective" or observer-rated housing quality is rarely measured in housing intervention research. This may be due to a lack of standardized, reliable, and valid housing quality instruments. The objective of this research was to develop and validate the Observer-Rated Housing Quality Scale (OHQS) for use in a multisite trial of a "housing first" intervention for homeless individuals with mental illness. A list of 79 housing unit, building, and neighborhood characteristics was generated from a review of the relevant literature and three focus groups with consumers and housing service providers. The characteristics were then ranked by 47 researchers, consumers, and service providers on perceived importance, generalizability, universality of value, and evidence base. Items were then drafted, scaled (five points, half values allowed), and pretested in seven housing units and with seven raters using cognitive interviewing techniques. The draft scale was piloted in 55 housing units in Toronto and Winnipeg, Canada. Items were rated independently in each unit by two trained research assistants and a housing expert. Data were analyzed using classical psychometric approaches and intraclass correlation coefficients (ICC) for inter-rater reliability. The draft scale consisted of 34 items assessing three domains: the unit, the building, and the neighborhood. Five of 18 unit items and 3 of 7 building items displayed ceiling or floor effects and were adjusted accordingly. Internal consistency was very good (Cronbach's alpha = 0.90 for the unit items, 0.80 for the building items, and 0.92 total (unit and building)). Percent agreement ranged from 89 to 100 % within one response scale value and 67 to 91 % within one half scale value. Inter-rater reliability was also good (ICCs were 0.87 for the unit, 0.85 for the building, and 0.93 for the total scale). Three neighborhood items (e.g., distance to transit) were found to be most efficiently rated using publicly available information. The physical quality of housing can be reliably rated by trained but nonexpert raters using the OHQS. The tool has potential for improved measurement in housing-related health research, including addressing the limitations of self-report, and may also enable documenting the quality of housing that is provided by publicly funded housing programs.

Health effects of neighborhood demolition and housing improvement: a prospective controlled study of 2 natural experiments in urban renewal

OBJECTIVES

We took advantage of a 2-intervention natural experiment to investigate the impacts of neighborhood demolition and housing improvement on adult residents' mental and physical health.

METHODS

We identified a longitudinal cohort (n = 1041, including intervention and control participants) by matching participants in 2 randomly sampled cross-sectional surveys conducted in 2006 and 2008 in 14 disadvantaged neighborhoods of Glasgow, United Kingdom. We measured residents' self-reported health with Medical Outcomes Study Short Form Health Survey version 2 mean scores.

RESULTS

After adjustment for potential confounders and baseline health, mean mental and physical health scores for residents living in partly demolished neighborhoods were similar to the control group (mental health, b = 2.49; 95% confidence interval [CI] = -1.25, 6.23; P = .185; physical health, b = -0.24; 95% CI = -2.96, 2.48; P = .859). Mean mental health scores for residents experiencing housing improvement were higher than in the control group (b = 2.41; 95% CI = 0.03, 4.80; P = .047); physical health scores were similar between groups (b = -0.66; 95% CI = -2.57, 1.25; P = .486).

CONCLUSIONS

Our findings suggest that housing improvement may lead to small, short-term mental health benefits. Physical deterioration and demolition of neighborhoods do not appear to adversely affect residents' health.

Housing improvements for health and associated socio-economic outcomes

BACKGROUND

The well established links between poor housing and poor health indicate that housing improvement may be an important mechanism through which public investment can lead to health improvement. Intervention studies which have assessed the health impacts of housing improvements are an important data resource to test assumptions about the potential for health improvement. Evaluations may not detect long term health impacts due to limited follow-up periods. Impacts on socio-economic determinants of health may be a valuable proxy indication of the potential for longer term health impacts.

OBJECTIVES

To assess the health and social impacts on residents following improvements to the physical fabric of housing.

SEARCH METHODS

Twenty seven academic and grey literature bibliographic databases were searched for housing intervention studies from 1887 to July 2012 (ASSIA; Avery Index; CAB Abstracts; The Campbell Library; CINAHL; The Cochrane Library; COPAC; DH-DATA: Health Admin; EMBASE; Geobase; Global Health; IBSS; ICONDA; MEDLINE; MEDLINE In-Process & Other Non-Indexed Citations; NTIS; PAIS; PLANEX; PsycINFO; RIBA; SCIE; Sociological Abstracts; Social Science Citations Index; Science Citations Index expanded; SIGLE; SPECTR). Twelve Scandinavian grey literature and policy databases (Libris; SveMed+; Libris uppsök; DIVA; Artikelsök; NORART; DEFF; AKF; DSI; SBI; Statens Institut for Folkesundhed; Social.dk) and 23 relevant websites were searched. In addition, a request to topic experts was issued for details of relevant studies. Searches were not restricted by language or publication status.

SELECTION CRITERIA

Studies which assessed change in any health outcome following housing improvement were included. This included experimental studies and uncontrolled studies. Cross-sectional studies were excluded as correlations are not able to shed light on changes in outcomes. Studies reporting only socio-economic outcomes or indirect measures of health, such as health service use, were excluded. All housing improvements which involved a physical improvement to the fabric of the house were included. Excluded interventions were improvements to mobile homes; modifications for mobility or medical reasons; air quality; lead removal; radon exposure reduction; allergen reduction or removal; and furniture or equipment. Where an improvement included one of these in addition to an included intervention the study was included in the review. Studies were not excluded on the basis of date, location, or language.

DATA COLLECTION AND ANALYSIS

Studies were independently screened and critically appraised by two review authors. Study quality was assessed using the risk of bias tool and the Hamilton tool to accommodate non-experimental and uncontrolled studies. Health and socio-economic impact data were extracted by one review author and checked by a second review author. Studies were grouped according to broad intervention categories, date, and context before synthesis. Where possible, standardized effect estimates were calculated and statistically pooled. Where meta-analysis was not appropriate the data were tabulated and synthesized narratively following a cross-study examination of reported impacts and study characteristics. Qualitative data were summarized using a logic model to map reported impacts and links to health impacts; quantitative data were incorporated into the model.

MAIN RESULTS

Thirty-nine studies which reported quantitative or qualitative data, or both, were included in the review. Thirty-three quantitative studies were identified. This included five randomised controlled trials (RCTs) and 10 non-experimental studies of warmth improvements, 12 non-experimental studies of rehousing or retrofitting, three non-experimental studies of provision of basic improvements in low or mIddle Income countries (LMIC), and three non-experimental historical studies of rehousing from slums. Fourteen quantitative studies (42.4%) were assessed to be poor quality and were not included in the synthesis. Twelve studies reporting qualitative data were identified. These were studies of warmth improvements (n = 7) and rehousing (n = 5). Three qualitative studies were excluded from the synthesis due to lack of clarity of methods. Six of the included qualitative studies also reported quantitative data which was included in the review.Very little quantitative synthesis was possible as the data were not amenable to meta-analysis. This was largely due to extreme heterogeneity both methodologically as well as because of variations in the intervention, samples, context, and outcome; these variations remained even following grouping of interventions and outcomes. In addition, few studies reported data that were amenable to calculation of standardized effect sizes. The data were synthesised narratively.Data from studies of warmth and energy efficiency interventions suggested that improvements in general health, respiratory health, and mental health are possible. Studies which targeted those with inadequate warmth and existing chronic respiratory disease were most likely to report health improvement. Impacts following housing-led neighbourhood renewal were less clear; these interventions targeted areas rather than individual households in most need. Two poorer quality LMIC studies reported unclear or small health improvements. One better quality study of rehousing from slums (pre-1960) reported some improvement in mental health. There were few reports of adverse health impacts following housing improvement. A small number of studies gathered data on social and socio-economic impacts associated with housing improvement. Warmth improvements were associated with increased usable space, increased privacy, and improved social relationships; absences from work or school due to illness were also reduced.Very few studies reported differential impacts relevant to equity issues, and what data were reported were not amenable to synthesis.

AUTHORS' CONCLUSIONS

Housing investment which improves thermal comfort in the home can lead to health improvements, especially where the improvements are targeted at those with inadequate warmth and those with chronic respiratory disease. The health impacts of programmes which deliver improvements across areas and do not target according to levels of individual need were less clear, but reported impacts at an area level may conceal health improvements for those with the greatest potential to benefit. Best available evidence indicates that housing which is an appropriate size for the householders and is affordable to heat is linked to improved health and may promote improved social relationships within and beyond the household. In addition, there is some suggestion that provision of adequate, affordable warmth may reduce absences from school or work.While many of the interventions were targeted at low income groups, a near absence of reporting differential impacts prevented analysis of the potential for housing improvement to impact on social and economic inequalities.

A systematic review of housing interventions and health: introduction, methods, and summary findings

Subject matter experts systematically reviewed evidence on the effectiveness of specific housing interventions in improving health. The panelists reviewed housing interventions associated with exposure to biological and chemical agents, structural injury hazards, and community-level interventions. Intervention studies were grouped together according to recommendations in the Guide to Community Preventive Services, which identifies similarities in the type of intervention, its delivery and setting, and the target population. Review panelists found that 11 interventions had sufficient evidence of effectiveness, 15 required more field evaluation, 19 needed formative research, and 7 either had no evidence of effectiveness or were ineffective. Although many housing conditions are associated with adverse health outcomes, sufficient evidence now shows that specific housing interventions can improve certain health outcomes. The results of these evidence reviews can inform a robust agenda for widespread implementation and further research. This article highlights the project's research methods and summary findings, and its companion articles detail the evidence reviews for specific housing interventions.

Environmental health disparities in housing

The physical infrastructure and housing make human interaction possible and provide shelter. How well that infrastructure performs and which groups it serves have important implications for social equity and health. Populations in inadequate housing are more likely to have environmental diseases and injuries. Substantial disparities in housing have remained largely unchanged. Approximately 2.6 million (7.5%) non-Hispanic Blacks and 5.9 million Whites (2.8%) live in substandard housing. Segregation, lack of housing mobility, and homelessness are all associated with adverse health outcomes. Yet the experience with childhood lead poisoning in the United States has shown that housing-related disparities can be reduced. Effective interventions should be implemented to reduce environmental health disparities related to housing.