Snehal N. Shah

Comparison of Indoor Air Quality in Smoke-Permitted and Smoke-Free Multiunit Housing: Findings From the Boston Housing Authority

INTRODUCTION Secondhand smoke remains a health concern for individuals living in multiunit housing, where smoke has been shown to easily transfer between units. Building-wide smoke-free policies are a logical step for minimizing smoke exposure in these settings. This evaluation sought to determine whether buildings with smoke-free policies have less secondhand smoke than similar buildings without such policies. Furthermore, this study assessed potential secondhand smoke transfer between apartments with and without resident smokers. METHODS Fine particulate matter (PM2.5), airborne nicotine, and self-reported smoking activity were recorded in 15 households with resident smokers and 17 households where no one smoked in 5 Boston Housing Authority developments. Of these, 4 apartment pairs were adjacent apartments with and without resident smokers. Halls between apartments and outdoor air were also monitored to capture potential smoke transfer and to provide background PM2.5 concentrations. RESULTS Households within buildings with smoke-free policies showed lower PM2.5 concentrations compared to buildings without these policies (median: 4.8 vs 8.1 µg/m(3)). Although the greatest difference in PM2.5 between smoking-permitted and smoke-free buildings was observed in households with resident smokers (14.3 vs 7.0 µg/m(3)), households without resident smokers also showed a significant difference (5.1 vs 4.0 µg/m(3)). Secondhand smoke transfer to smoke-free apartments was demonstrable with directly adjacent households. CONCLUSION This evaluation documented instances of secondhand smoke transfer between households as well as lower PM2.5 measurements in buildings with smoke-free policies. Building-wide smoke-free policies can limit secondhand smoke exposure for everyone living in multiunit housing.

Measures of Local Segregation for Monitoring Health Inequities by Local Health Departments

OBJECTIVES To assess the use of local measures of segregation for monitoring health inequities by local health departments. METHODS We analyzed preterm birth and premature mortality (death before the age of 65 years) rates for Boston, Massachusetts, for 2010 to 2012, using the Index of Concentration at the Extremes (ICE) and the poverty rate at both the census tract and neighborhood level. RESULTS For premature mortality at the census tract level, the rate ratios comparing the worst-off and best-off terciles were 1.58 (95% confidence interval [CI] = 1.36, 1.83) for the ICE for income, 1.66 (95% CI = 1.43, 1.93) for the ICE for race/ethnicity, and 1.63 (95% CI = 1.40, 1.90) for the ICE combining income and race/ethnicity, as compared with 1.47 (95% CI = 1.27, 1.71) for the poverty measure. Results for the ICE and poverty measures were more similar for preterm births than for premature mortality. CONCLUSIONS The ICE, a measure of social spatial polarization, may be useful for analyzing health inequities at the local level. Public Health Implications. Local health departments in US cities can meaningfully use the ICE to monitor health inequities associated with racialized economic segregation.

Measuring and Monitoring Progress Toward Health Equity: Local Challenges for Public Health

To address health disparities, local health departments need high-resolution data on subpopulations and geographic regions, but the quality and availability of these data are often suboptimal. The Boston Public Health Commission and the Los Angeles County Department of Public Health faced challenges in acquiring and using community-level data essential for the design and implementation of programs that can improve the health of those who have social or economic disadvantages. To overcome these challenges, both agencies used practical and innovative strategies for data management and analysis, including augmentation of existing population surveys, the use of combined data sets, and the generation of small-area estimates. These and other strategies show how community-level health data can be analyzed, expanded, and integrated into existing public health surveillance and program infrastructure to inform jurisdictional planning and tailoring of interventions aimed at achieving optimal health for all members of a community.

Cross-Disciplinary Consultancy to Enhance Predictions of Asthma Exacerbation Risk in Boston

This paper continues an initiative conducted by the International Society for Disease Surveillance with funding from the Defense Threat Reduction Agency to connect near-term analytical needs of public health practice with technical expertise from the global research community. The goal is to enhance investigation capabilities of day-to-day population health monitors. A prior paper described the formation of consultancies for requirements analysis and dialogue regarding costs and benefits of sustainable analytic tools. Each funded consultancy targets a use case of near-term concern to practitioners. The consultancy featured here focused on improving predictions of asthma exacerbation risk in demographic and geographic subdivisions of the city of Boston, Massachusetts, USA based on the combination of known risk factors for which evidence is routinely available. A cross-disciplinary group of 28 stakeholders attended the consultancy on March 30-31, 2016 at the Boston Public Health Commission. Known asthma exacerbation risk factors are upper respiratory virus transmission, particularly in school-age children, harsh or extreme weather conditions, and poor air quality. Meteorological subject matter experts described availability and usage of data sources representing these risk factors. Modelers presented multiple analytic approaches including mechanistic models, machine learning approaches, simulation techniques, and hybrids. Health department staff and local partners discussed surveillance operations, constraints, and operational system requirements. Attendees valued the direct exchange of information among public health practitioners, system designers, and modelers. Discussion finalized design of an 8-year de-identified dataset of Boston ED patient records for modeling partners who sign a standard data use agreement.

Big data and opportunities for injury surveillance

This issue of Injury Prevention presents injury surveillance activities spanning a range of available methods from paper data collection systems to machine-learning techniques. We have been invited to share thoughts on future opportunities for injury surveillance and public health in general. Our perspective is focused on electronic information and its capacity to transform public health surveillance and provide opportunities for improved targeted interventions. Public health surveillance risks becoming irrelevant if it does not take advantage of electronic information. This includes contextual data that defines the circumstances of an event or outcome and allows for a more complete and informed response to public and population health problems. In considering the future of public health surveillance, we see opportunities in electronic data sources that can be grouped into three categories. We consider electronic sources to be ‘big data’, which is defined by volume, velocity, variety and veracity.1 The definition provides a framework when evaluating big data. For example, veracity, which can range from inadequate to high quality, is critical for determining usability. Big data is repurposed for public health surveillance and will require tools and methods such as machine learning and quality metrics that may improve veracity. The categories are electronic health records (EHRs), sources of electronic information that describe context such as weather, crime, environmental conditions and emergency medical services data, and social media and internet-based data. These data may allow for a level of granularity critical to designing interventions relevant to specific settings, and pose both challenges and opportunities for public health agencies. EHRs are a potential source of public health surveillance data. The Health Information Technology for Economic and Clinical Health Act of 2009 was enacted to promote the adoption and meaningful use of health information technology and has resulted in programmes to improve quality, safety and efficiency …

Comparison of Methods for Estimating Prevalence of Chronic Diseases and Health Behaviors for Small Geographic Areas: Boston Validation Study, 2013

Introduction Local health authorities need small-area estimates for prevalence of chronic diseases and health behaviors for multiple purposes. We generated city-level and census-tract–level prevalence estimates of 27 measures for the 500 largest US cities. Methods To validate the methodology, we constructed multilevel logistic regressions to predict 10 selected health indicators among adults aged 18 years or older by using 2013 Behavioral Risk Factor Surveillance System (BRFSS) data; we applied their predicted probabilities to census population data to generate city-level, neighborhood-level, and zip-code–level estimates for the city of Boston, Massachusetts. Results By comparing the predicted estimates with their corresponding direct estimates from a locally administered survey (Boston BRFSS 2010 and 2013), we found that our model-based estimates for most of the selected health indicators at the city level were close to the direct estimates from the local survey. We also found strong correlation between the model-based estimates and direct survey estimates at neighborhood and zip code levels for most indicators. Conclusion Findings suggest that our model-based estimates are reliable and valid at the city level for certain health outcomes. Local health authorities can use the neighborhood-level estimates if high quality local health survey data are not otherwise available.

No-cost gym visits are associated with lower weight and blood pressure among non-Latino black and Latino participants with a diagnosis of hypertension in a multi-site demonstration project

Well documented, persistent racial/ethnic health disparities in obesity and hypertension in the US demonstrate the continued need for interventions that focus on people of color who may be at higher risk. We evaluated a demonstration project funded by the CDCs Racial/Ethnic Approaches to Community Health (REACH) program at four federally qualified health centers (FQHC) and YMCA fitness and wellness centers in Boston. No-cost YMCA memberships were offered from June 2014 to June 2015 to non-Latino black and Latino adults with a diagnosis of hypertension. YMCA visit data were merged with health data for 224 participants (n = 1265 health center visits). We assessed associations between gym visit frequency and weight, body mass index (BMI), systolic blood pressure (SBP), and diastolic blood pressure (DBP) using longitudinal time-varying linear fixed-effects models. The total number of gym visits over the entire program duration was 5.5, while the conditional total number of visits (after the first gym visit has been made) was 17.3. Having visited the gym at least 10 times before an FQHC exam was, on average, associated with lower weight (1.19 kg, p = 0.01), lower BMI (0.43 kg/m2, p = 0.01) and reductions in SBP (−3.20 mm Hg, p = 0.01) and DBP (−2.06 mm Hg p = 0.01). Having visited the gym an average of 1.4 times per month (study average) was associated with reductions in weight, BMI, and DBP. No-cost gym visits were associated with improved weight and blood pressure in hypertensive non-Latino black and Latino adults in this program. Additional evaluation is necessary to assess the sustainability of these effects.

Referral Strategies to a Tobacco Quitline and Racial and/or Ethnic Differences in Participation

In this evaluation, we describe the success of a program that was designed strategically to connect vulnerable smokers of color to Massachusetts quitline services. BACKGROUND: Tobacco use inflicts a disproportionate burden of disease on people of color. We evaluated the reach among African American and Hispanic smokers in Boston of 2 referral strategies to the Massachusetts quitline: (1) a provider-referred strategy based in pediatric and dental clinics and (2) a targeted media campaign to promote self-referral to the quitline. METHODS: Selected demographic characteristics of Boston quitline participants during the study period (2010–2012) were compared between strategies. Self-referred smoker characteristics were also compared in the years before and after the media campaign. Finally, the characteristics of quitline participants were compared with smokers in the 2010 Boston Behavioral Risk Factor Surveillance Survey. RESULTS: During the study period, 4066 smokers received cessation services from the quitline; 3722 (91.5%) were self-referred, and 344 (8.5%) were referred by pediatric and dental providers. The proportion of black (31.6%) and Hispanic (20.3%) participants referred by providers was higher than among self-referred participants (18.3% and 7.8%, respectively; P <.001). Overall, provider-referred participants were less likely to be white (17.9%) than to be people of color. Self-referred smokers were more likely to be white (68.0%) than the estimated population of Boston smokers overall (62.9%; P <.001). CONCLUSIONS: The large-scale media campaign, which promoted self-referral, was associated with higher quitline participation overall, but the provider-referred strategy based in community health centers yielded participation from a greater proportion of smokers of color. The 2 strategies reached different subpopulations of smokers, and their combined reach enhanced access to cessation services among smokers from different racial and ethnic backgrounds.

Housing Quality and Mental Health: the Association between Pest Infestation and Depressive Symptoms among Public Housing Residents

Housing quality, which includes structural and environmental risks, has been associated with multiple physical health outcomes including injury and asthma. Cockroach and mouse infestations can be prime manifestations of diminished housing quality. While the respiratory health effects of pest infestation are well documented, little is known about the association between infestation and mental health outcomes. To address this gap in knowledge and given the potential to intervene to reduce pest infestation, we assessed the association between household pest infestation and symptoms of depression among public housing residents. We conducted a cross-sectional study in 16 Boston Housing Authority (BHA) developments from 2012 to 2014 in Boston, Massachusetts. Household units were randomly selected and one adult (n = 461) from each unit was surveyed about depressive symptoms using the Center for Epidemiologic Study-Depression (CES-D) Scale, and about pest infestation and management practices. In addition, a home inspection for pests was performed. General linear models were used to model the association between pest infestation and high depressive symptoms. After adjusting for important covariates, individuals who lived in homes with current cockroach infestation had almost three times the odds of experiencing high depressive symptoms (adjusted OR = 2.9, 95% CI 1.9–4.4) than those without infestation. Dual infestation (cockroach and mouse) was associated with over five times the odds (adjusted odds = 5.1, 95% CI 3.0–8.5) of experiencing high depressive symptoms. Using a robust measure of cockroach and mouse infestation, and a validated depression screener, we identified associations between current infestation and depressive symptoms. Although the temporal directionality of this association remains uncertain, these findings suggest that the health impact of poor housing conditions extend beyond physical health to include mental health. The study adds important information to the growing body of evidence that housing contributes to population health and improvements in population health may not be possible without addressing deficiencies in the housing infrastructure.

Subsidized Housing and Adult Asthma in Boston, 2010–2015

Objectives To examine whether subsidized housing, specifically public housing and rental assistance, is associated with asthma in the Boston, Massachusetts, adult population. Methods We analyzed a pooled cross-sectional sample of 9554 adults taking part in 3 Boston Behavioral Risk Factor Surveillance System surveys from 2010 to 2015. We estimated odds ratios for current asthma in association with housing status (public housing development [PHD] resident, rental assistance [RA] renter, non-RA renter, nonrenter nonowner, homeowner as reference) in logistic regression analyses adjusting for year, age, sex, race/ethnicity, education, and income. Results The odds of current asthma were 2.02 (95% confidence interval [CI] = 1.35, 3.03) and 2.34 (95% CI = 1.60, 3.44) times higher among PHD residents and RA renters, respectively, than among homeowners. We observed smoking-related effect modification (interaction P = .04); elevated associations for PHD residents and RA renters remained statistically significant (P < .05) only among ever smokers. Associations for PHD residents and RA renters remained consistent in magnitude in comparison with non-RA renters who were eligible for subsidized housing according to income. Conclusions Public housing and rental assistance were strongly associated with asthma in this large cross-sectional sample of adult Boston residents.