Examining the creation of synergy in community coalitions for smoke-free environments in Armenia and Georgia.

Community coalitions depend on their members to synergistically pool diverse resources, including knowledge and expertise, community connections and varied perspectives, to identify and implement strategies and make progress toward community health improvement. Several coalition theories suggest synergy is the key mechanism driving coalition effectiveness. The Community Coalition Action Theory (CCAT) asserts that synergy depends on how well coalitions engage their members and leverage their resources, which is influenced by coalition processes, member participation and satisfaction and benefits outweighing costs. The current study used mixed methods, including coalition member surveys (n = 83) and semi-structured interviews with leaders and members (n = 42), to examine the process of creating collaborative synergy in 14 community coalitions for smoke-free environments in Armenia and Georgia. Members, typically seven per coalition representing education, public health, health care and municipal administration sectors, spent an average of 16 hr/month on coalition-related work. Common benefits included making the community a better place to live and learning more about tobacco control. The greatest cost was attending meetings or events at inconvenient times. Members contributed various resources, including their connections and influence, skills and expertise and access to population groups and settings. Strong coalition processes, greater benefits and fewer costs of participation and satisfaction were correlated with leveraging of member resources, which in turn, was highly correlated with collaborative synergy. Consistent with CCAT, effective coalition processes created a positive climate where membership benefits outweighed costs, and members contributed their resources in a way that created collaborative synergy.

Exploring dimensions of social capital in relation to healthy eating behaviours in the US rural south.

OBJECTIVE: This study examined relationships between dimensions of social capital (SC) (social trust, network diversity, social reciprocity and civic engagement) and fruit, vegetable, and sugar-sweetened beverage (SSB) consumption among rural adults. Potential moderators (neighbourhood rurality, food security, gender and race/ethnicity) were explored to develop a more nuanced understanding of the SC-healthy eating relationship. DESIGN: Data were from a 2019 mailed population-based survey evaluating an eleven-county initiative to address health equity. Participants self-reported health behaviours, access to health-promoting resources and demographics. Logistic regression models were used to analyse relationships between predictors, outcomes and moderators. SETTING: Five rural counties, Georgia, USA. PARTICIPANTS: 1120 participants. RESULTS: Among participants who lived in the country (as opposed to in town), greater network diversity was associated with consuming ≥ 3 servings of fruit (OR = 1·08; 95 % CI 1·01, 1·17, P = 0·029), yet among participants who lived in town, greater civic engagement was associated with consuming ≥ three servings of fruit (OR = 1·36; 95 % CI 1·11, 1·65, P = 0·003). Both food-secure and food-insecure participants with greater social reciprocity had lower odds of consuming 0 SSB (OR = 0·92; 95 % CI 0·86, 0·98, P = 0·014, OR = 0·92; 95 % CI 0·86, 0·99, P = 0·037, respectively). Men with greater social trust were more likely to consume 0 SSB (OR = 1·09; 95 % CI 1·01, 1·18, P = 0·038), and Whites with greater network diversity were more likely to meet daily vegetable recommendations (OR = 1·10; 95 % CI 1·01, 1·19, P = 0·028). CONCLUSIONS: Findings provide a basis for future qualitative research on potential mechanisms through which SC and related social factors influence healthy eating in rural communities.

Smoke-free home restrictions in Armenia and Georgia: motives, barriers and secondhand smoke reduction behaviors.

BACKGROUND: Promoting smoke-free homes (SFHs) in Armenia and Georgia is timely given high smoking and secondhand smoke exposure (SHSe) rates and recent national smoke-free policy implementation. This study examined theoretical predictors (e.g. motives, barriers) of SFH status, and among those without SFHs, past 3-month SFH attempts and intent to establish SFHs in the next 3 months. METHODS: Multilevel logistic regression analyzed these outcomes using 2022 survey data from 1467 adults (31.6% past-month smokers) in Armenia (n = 762) and Georgia (n = 705). Correlates of interest included SHSe reduction behaviors and SFH motives and barriers; models controlled for country, community, age, sex, smoking status and other smokers in the home. RESULTS: In this sample, 53.6% had SFHs (Armenia: 39.2%; Georgia: 69.2%). Among those without SFHs, one-fourth had partial restrictions, no smokers in the home and/or recent SFH attempts; 35.5% intended to establish SFHs; and ∼70% of multiunit housing residents supported smoke-free buildings. We documented common SHSe reduction behaviors (opening windows, limiting smoking areas), SFH motives (prevent smell, protect children/nonsmokers) and barriers (smokers' resistance). Correlates of SFHs were being from Georgia, other smokers in the home, fewer SHSe reduction behaviors, greater motives and fewer barriers. Among participants without SFHs, correlates of recent SFH attempts were other smokers in the home, greater SHSe reduction behaviors and SFH motives, and fewer barriers; correlates of SFH intentions were being female, greater SHSe reduction behaviors, greater motives, and fewer barriers. CONCLUSIONS: SFH interventions should address motives, barriers and misperceptions regarding SHSe reduction behaviors. Moreover, smoke-free multiunit housing could have a great population impact.

Patterns of Sustainability Capacity Among Organizations That Deliver the National Diabetes Prevention Program: A Latent Profile Analysis.

INTRODUCTION: Since the launch of the National Diabetes Prevention Program (DPP) in 2010, more than 3,000 organizations have registered with the Centers for Disease and Control and Prevention to deliver the program; today, however, only approximately 2,000 organizations are registered, indicating challenges with sustainability. We used the Program Sustainability Assessment Tool (PSAT) to explore patterns of sustainability capacity among National DPP delivery organizations. METHODS: We used data from a cross-sectional online survey conducted in August and September 2021 of staff members (N = 440) at National DPP delivery organizations. We conducted a latent profile analysis to identify latent subpopulations on the basis of respondent PSAT domain scores. Regression analyses were used to estimate associations between derived latent classes, PSAT scores, and respondent characteristics. RESULTS: The 4-class model included 4 groups of capacity for program sustainability, ranging from low to high: low (class 1) with 8.0% of the sample, medium-low (class 2) with 22.0%, medium-high (class 3) with 41.6%, and high (class 4) with 28.4%. Program evaluation (mean score = 5.1 [SD = 1.4]) and adaptation (mean score = 5.3 [SD = 1.3]) were the domains with the highest scores, while funding stability (mean score = 4.0 [SD = 1.6]) and Partnerships (mean score = 4.0 [SD = 1.7]) had the lowest scores. In our sample of National DPP delivery organizations, most reported relatively high capacity for program sustainability, and key indicators associated with sustainability capacity were virtual delivery, location of delivery, funding sources, and organization type. DISCUSSION: Similar to sustainability capacity findings from other PSAT studies, our study found that funding stability and partnerships are areas to strengthen. This insight is useful in sustainability planning at organizational and national levels across multiple programs.

Associations Between Pro/Anti-Tobacco Media and Messaging Exposure and Knowledge and Support of Smoke-Free Policy Among Adults in Armenia and Georgia.

CONTEXT: Despite high smoking rates, Armenia and Georgia recently adopted smoke-free policies (2022 and 2018). OBJECTIVE: We examined associations between exposure to pro-tobacco media (news opposing smoke-free policies; cigarette, e-cigarette, heated tobacco product [HTP] advertisements) and anti-tobacco media (media, community-based action) and (1) knowledge that the policies applied to alternative tobacco products (ATPs), and (2) support for the policies applying to ATPs and various settings. DESIGN: We analyzed 2022 survey data. SETTING: Data were from 28 communities in Armenia and Georgia. PARTICIPANTS: The sample comprised 1468 adults (31.6% past-month smokers). METHODS: We conducted multivariable regressions, controlling for country and sociodemographics. RESULTS: Participants were knowledgeable that the policy applied to ATPs (79.2%) and supportive of them applying to ATPs and various settings (means = 3.43 and 3.00; 1-4 = strongly support). Greater exposure to anti-tobacco media/community-based action correlated with more likely knowing that the policies applied to ATPs and greater support of the policies applying to various settings; HTP advertisement exposure correlated with less support of the policies applying to various settings. Less exposure to news opposing smoke-free policies and greater exposure to media supporting such policies correlated with greater support of the policies applying to ATPs. CONCLUSIONS: Media and community-based action may promote smoke-free policy knowledge and support. HTP advertisements may uniquely undermine smoke-free policies.

Barriers to Creating Healthier Home Food Environments: Process Evaluation Results From 2 Home Food Environment Intervention Studies.

Few studies have identified barriers to creating a home environment more supportive of healthy eating. We examined barriers faced by participants in a randomized controlled trial and an adaptation study of the Healthy Homes/Healthy Families intervention, which uses health coaches to support low-income families in creating healthier home food environments. Coaches maintained logs of participant interactions as part of a process evaluation. We thematically analyzed logs from interactions with participants, mostly lower-income African American women (n = 114), to identify barriers for each of 8 healthy actions that serve as core elements of the intervention. Difficulty of changing current habits was a barrier for 5 of the healthy actions. No time/convenience and limited family support each influenced 2 of the healthy actions, with interpersonal barriers also stemming from social situations and visitors, including grandchildren. Cost and economic challenges were barriers for 3 of the actions. Hunger, cravings, and limited access to resources (eg, transportation, fresh fruits and vegetables) were each noted as barriers for 1 healthy action. Overall, these findings provide insight for how to better support families who are trying to improve their home food environments and highlight the need for multilevel interventions.

Inequities in Physical Activity Environments and Leisure-Time Physical Activity in Rural Communities.

INTRODUCTION: Differential access to environments supportive of physical activity (PA) may help explain racial and socioeconomic disparities in leisure-time physical activity (LTPA) in rural communities. METHODS: We used baseline data from a mailed survey (N = 728) conducted in 2019 as part of an evaluation of The Two Georgias Initiative to examine the relationships among LTPA, sociodemographic characteristics, and perceived access to supportive PA environments (eg, areas around the home/neighborhood, indoor and outdoor exercise areas, town center connectivity) in 3 rural Georgia counties. RESULTS: More than half of respondents (53.5%) engaged in LTPA in the previous month. Perceptions of PA environments were generally neutral to somewhat negative. In multivariable models, overall PA environment was associated with LTPA (OR, 1.58; 95% CI, 1.06-2.35), as was annual household income >$50,000 relative to ≤$20,000 (OR, 2.72; 95% CI, 1.53-4.83) and race, with Black respondents less likely to engage in LTPA than White respondents (OR, 0.49; 95% CI, 0.29-0.85). Of the 5 PA environment domains examined, town center connectivity was significantly associated with LTPA (OR, 1.68, 95% CI, 1.20-2.36). Both the overall PA score (ß = -0.014; 95% CI, -0.029 to -0.002) and town center connectivity (ß = -0.020; 95% CI, -0.038 to -0.005) partially mediated associations between annual household income and LTPA. Areas supportive of PA around the home/neighborhood partially mediated the association by race (ß = 0.016; 95% CI, 0.001-0.034). CONCLUSION: Findings lend support for investing in town centers and racially diverse neighborhoods to increase walkability and PA infrastructure as potential strategies to reduce inequities in LTPA.

Home food environment and associations with weight and diet among U.S. adults: a cross-sectional study.

BACKGROUND: The home provides the physical and social context for the majority of eating behaviors for U.S. adults. This study describes eleven dimensions of the home food environment among a national sample of U.S. adults and identifies which are associated with diet quality and overweight/obesity. METHODS: A national sample of U.S. adults ages 18 to 75 was recruited from an online survey panel. Respondents (n = 4942) reported on foods available in the home, including 1) fruit and vegetables, 2) salty snacks/sweets, 3) less healthy beverages, as well as 4) food placement, 5) shopping practices for fruits and vegetables, 6) food preparation, 7) portion control methods, 8) family meals from restaurants, 9) family household practices around TV and eating, 10) presence of a TV in the dining area, and 11) ownership of a scale. Self-reported height and weight, fruit and vegetable intake, and percent calories from fat were also assessed. RESULTS: Mean household size was 2.6, 32.7% had children in the home, and 23.1% lived alone. The majority were White (67.7%), with 12.3% Black and 14.3% Hispanic. Mean age was 44.4 and 48.3% were men. In multivariable models, seven features of the home food environment were associated with meeting the recommended fruit and vegetable intake guidelines, with food placement, meal preparation, frequency of shopping for fruit, and a greater variety of fruits and vegetables available in the home most strongly associated. Eight of 11 features were associated with percent energy from fat, including restaurant food for family meals, salty snacks and sweets availability, less healthy beverages availability, food placement, meal preparation, frequency of shopping for fruit, family eating with the TV on, and having a TV in the dining area. More diverse fruit and vegetable availability was associated with lower odds of overweight/obesity, and more frequent family eating while watching TV was associated with increased odds of overweight/obesity. CONCLUSION: Targeting these dimensions of the home food environment may be a promising approach for future intervention research.

Disseminating a Smoke-free Homes Program to Low Socioeconomic Status Households in the United States Through 2-1-1: Results of a National Impact Evaluation.

INTRODUCTION: Given homes are now a primary source of secondhand smoke (SHS) exposure in the United States, research-tested interventions that promote smoke-free homes should be evaluated in real-world settings to build the evidence base for dissemination. This study describes outcome evaluation results from a dissemination and implementation study of a research-tested program to increase smoke-free home rules through US 2-1-1 helplines. METHODS: Five 2-1-1 organizations, chosen through a competitive application process, were awarded grants of up to $70 000. 2-1-1 staff recruited participants, delivered the intervention, and evaluated the program. 2-1-1 clients who were recruited into the program allowed smoking in the home, lived in households with both a smoker and a nonsmoker or child, spoke English, and were at least 18 years old. Self-reported outcomes were assessed using a pre-post design, with follow-up at 2 months post baseline. RESULTS: A total of 2345 households (335-605 per 2-1-1 center) were enrolled by 2-1-1 staff. Most participants were female (82%) and smokers (76%), and half were African American (54%). Overall, 40.1% (n = 940) reported creating a full household smoking ban. Among the nonsmoking adults reached at follow-up (n = 389), days of SHS exposure in the past week decreased from 4.9 (SD = 2.52) to 1.2 (SD = 2.20). Among the 1148 smokers reached for follow-up, 211 people quit, an absolute reduction in smoking of 18.4% (p < .0001), with no differences by gender. CONCLUSIONS: Among those reached for 2-month follow-up, the proportion who reported establishing a smoke-free home was comparable to or higher than smoke-free home rates in the prior controlled research studies. IMPLICATIONS: Dissemination of this brief research-tested intervention via a national grants program with support from university staff to five 2-1-1 centers increased home smoking bans, decreased SHS exposure, and increased cessation rates. Although the program delivery capacity demonstrated by these competitively selected 2-1-1s may not generalize to the broader 2-1-1 network in the United States, or social service agencies outside of the United States, partnering with 2-1-1s may be a promising avenue for large-scale dissemination of this smoke-free homes program and other public health programs to low socioeconomic status populations in the United States.

Home gardening and associations with fruit and vegetable intake and BMI.

OBJECTIVE: To understand who engages in home gardening and whether gardening is associated with fruit and vegetable intake and weight status. DESIGN: A national cross-sectional survey. SETTING: Online survey panel in the USA. PARTICIPANTS: Adults aged 18-75 years representing the US population with respect to gender, age, race/ethnicity, income and geographic region (n 3889). RESULTS: Approximately 30 % of survey respondents reported growing edible plants in a home garden. Gardeners were more likely to be White or Asian, employed, have higher income, be married, have children in the household and live in rural areas. Gardeners were less likely to be obese and more likely to meet US dietary recommendations for fruit and vegetable consumption. In multivariable analyses, home gardens remained associated with fruit and vegetable intake and BMI when controlling for a range of socio-demographic characteristics and level of rurality. CONCLUSIONS: The current study identifies who is gardening in the USA and provides useful information for public health efforts to increase gardening as a nutrition intervention. Future research should examine the benefits of home gardening and interventions to increase home gardening using more rigorous designs.

Comparing food desert residents with non-food desert residents on grocery shopping behaviours, diet and BMI: results from a propensity score analysis.

OBJECTIVE: To determine whether residence in a US Department of Agriculture-designated food desert is associated with perceived access to healthy foods, grocery shopping behaviours, diet and BMI among a national sample of primary food shoppers. DESIGN: Data for the present study came from a self-administered cross-sectional survey administered in 2015. Residential addresses of respondents were geocoded to determine whether their census tract of residence was a designated food desert or not. Inverse probability of treatment-weighted regression was used to assess whether residence in a food desert was associated with dependent variables of interest. SETTING: USA. PARTICIPANTS: Of 4942 adult survey respondents, residential addresses of 75·0 % (n 3705) primary food shoppers were included in the analysis. RESULTS: Residence in a food desert (11·1 %, n 411) was not significantly associated with perceived access to healthy foods, most grocery shopping behaviours or dietary behaviour, but was significantly associated with primarily shopping at a superstore or supercentre v. a large grocery store (OR = 1·32; 95 % CI 1·02, 1·71; P = 0·03) and higher BMI (b = 1·14; 95 % CI 0·36, 1·93; P = 0·004). CONCLUSIONS: Results suggest that food desert residents shop at different food stores and have higher BMI than non-food desert residents.

Sequential implementation of the EQUIPPED geriatric medication safety program as a learning health system.

OBJECTIVES: To present the three-site EQUIPPED academic health system research collaborative, which engaged in sequential implementation of the EQUIPPED medication safety program, as a learning health system; to understand how the organizations worked together to build resources for program scale-up. DESIGN: Following the Replicating Effective Programs framework, we analyzed content from implementation teams' focus groups, local and cross-site meeting minutes and sites' organizational profiles to develop an implementation package. SETTING: Three academic emergency departments that each implemented EQUIPPED over three successive years. PARTICIPANTS: Implementation team members at each site participating in focus groups (n = 18), local meetings during implementation years, and cross-site meetings during all years of the projects. INTERVENTION(S): EQUIPPED provides Emergency Department providers with clinical decision support (education, order sets, and feedback) to reduce prescribing of potentially inappropriate medications to adults aged 65 years and older who received a prescription at time of discharge. MAIN OUTCOME MEASURE(S): Implementation process components assembled through successive implementation. RESULTS: Each site had clinical and environmental characteristics to be addressed in implementing the EQUIPPED program. We identified 10 process elements and describe lessons for each. Lessons guided the compilation of the EQUIPPED intervention package or toolkit, including the EQUIPPED logic model. CONCLUSIONS: Our academic health system research collaborative addressing medication safety through sequential implementation is a learning health system that can serve as a model for other quality improvement projects with multiple sites. The network produced an implementation package that can be vetted, piloted, evaluated, and finalized for large-scale dissemination in community-based settings.

Promoting Healthier Home Food Environments Through 2-1-1: A Pilot and Feasibility Study.

Relatively few interventions target the home food environment of adults for weight gain prevention. Using a pretest/posttest design, this study describes the adaptation and pilot testing of Healthy Homes/Healthy Families, a research-tested home food environment intervention, for telephone delivery to 2-1-1 clients (n = 101). The Healthy Eating Index-2015, a measure of diet quality, improved significantly at 4-month follow-up, as did the home food environment, with energy consumption improving in the expected direction. Overall findings suggest the simplified intervention will still be effective, although results may be attenuated and additional efforts may be needed for participant retention among 2-1-1 clients.

Implementing an Evidence-based Tobacco Control Program at Five 2-1-1 Call Centers: An Evaluation Using the Consolidated Framework for Implementation Research.

Introduction: The Smoke-Free Homes (SFH) Program is an evidence-based intervention offered within 2-1-1 information and referral call centers to promote smoke-free homes in low-income populations. We used the Consolidated Framework for Implementation Research to conduct a mixed-methods analysis of facilitators and barriers to scaling up SFH to five 2-1-1 sites in the United States. Methods: Data were collected from staff in 2015-2016 via online surveys administered before (N = 120) and after SFH training (N = 101) and after SFH implementation (N = 79). Semi-structured telephone interviews were conducted in 2016 with 25 staff to examine attitudes towards SFH, ways local context affected implementation, and unintended benefits and consequences of implementing SFH. Results: Post-implementation, 79% of respondents reported that SFH was consistent with their 2-1-1's mission, 70% thought it led to more smoke-free homes in their population, 62% thought it was easy to adapt, and 56% thought participants were satisfied. Composite measures of perceived appropriateness of SFH for 2-1-1 callers and staff positivity toward SFH were significantly lower post-implementation than pre-implementation. In interviews, staff said SFH fit with their 2-1-1's mission but expressed concerns about intervention sustainability, time and resources needed for delivery, and how SFH fit into their workflow. Conclusions: Sites' SFH implementation experiences were affected both by demands of intervention delivery and by SFH's perceived effectiveness and fit with organizational mission. Future implementation of SFH and other tobacco control programs should address identified barriers by securing ongoing funding, providing dedicated staff time, and ensuring programs fit with staff workflow. Implications: Smoke-free home policies reduce exposure to secondhand smoke. Partnering with social service agencies offers a promising way to scale up evidence-based smoke-free home interventions among low-income populations. We found that the SFH intervention was acceptable and feasible among multiple 2-1-1 delivery sites. There were also significant challenges to implementation, including site workflow, desire to adapt the intervention, time needed for intervention delivery, and financial sustainability. Addressing such challenges will aid future efforts to scale up evidence-based tobacco control interventions to social service agencies such as 2-1-1.

Adaptation of a brief smoke-free homes intervention for American Indian and Alaska Native families.

BACKGROUND: The goal of adaptation is to maintain the effectiveness of the original intervention by preserving the core elements that account for its success while delivering an intervention that is tailored to the new community and/or cultural context. The current study describes the process of adapting an evidence-based smoke-free homes (SFH) intervention for use in American Indian/Alaska Native (AI/AN) households. METHODS: We followed a systematic adaptation process. We first assessed the community through focus groups coordinated in collaboration with tribal partners. Because our team included the original developers of the intervention, the steps of understanding the intervention, selecting the intervention and consulting with experts were simplified. Additional steps included consulting with stakeholders through a national work group and collaboratively deciding what needed adaptation. RESULTS: A number of key themes pertinent to the adaptation of the SFH intervention were identified in the focus groups. These included the gravity of messaging about commercial tobacco use; respect, familialism, and intergenerationalism; imagery, including significant symbolism, colors, and representative role models; whether and how to address traditional tobacco; and, barriers to a SFH not adequately addressed in the original materials. CONCLUSIONS: Adaptation of an intervention to create smoke-free homes in AI/AN families necessitated both surface structure changes such as appearance of role models and deep structure changes that addressed core values, and beliefs and traditions.

A qualitative study of the process of adoption, implementation and enforcement of smoke-free policies in privately-owned affordable housing.

BACKGROUND: Household smoke-free home rules cannot fully protect nonsmokers from secondhand smoke (SHS) if they live in multi-unit housing (MUH). Instead, property-level smoke-free policies are needed to prevent SHS incursion into apartment units and to keep common areas smoke-free. Smoke-free policies are usually at the discretion of property management companies and owners within the context of market-rate and privately-owned affordable housing in the U.S. METHODS: Semi-structured interviews on the policy development, implementation and enforcement experiences of 21 different privately-owned affordable housing management companies were conducted with representatives from properties in North Carolina and Georgia who had established smoke-free policies before 2016. RESULTS: The decision to adopt was typically made by corporate leadership, board members, owners or property managers, with relatively little resident input. Policy details were influenced by property layout, perceptions of how best to facilitate compliance and enforcement, and cost of creating a designated smoking area. Policies were implemented through inclusion in leases, lease addenda or house rules with 6 months' notice most common. Participants thought having a written policy, the norms and culture of the housing community, public norms for smoke-free environments, and resident awareness of the rules and their consequences, aided with compliance. Violations were identified through routine inspections of units and resident reporting. Resident denial and efforts to hide smoking were shared as challenges to enforcement, along with a perception that concrete evidence would be needed in eviction court and that simply the smell of SHS was insufficient evidence of violation. Over half had terminated leases or evicted residents due to violations of the smoke-free policy. The most common benefits cited were reduced turnover cost and time, and lower vacancy rates. CONCLUSIONS: Understanding the smoke-free policy process in privately-owned affordable housing can help practitioners encourage policies within subsidized housing contexts. The study identified salient benefits (e.g., reduced cost, time, and vacancies) that can be highlighted when encouraging MUH partners to adopt policies. Additionally, study findings provide guidance on what to consider when designing smoke-free policies (e.g., layout, costs), and provide insights into how to enhance compliance (e.g., resident awareness) and manage enforcement (e.g., routine inspections).

Implementation and enforcement of smoke-free policies in public housing.

Smoke-free policies such as those required by the US Department of Housing and Urban Development have the potential to reduce persistent income-related disparities in secondhand smoke exposure. To understand the implementation and enforcement process, as well as barriers and facilitators to compliance and enforcement, we conducted semi-structured interviews (n=37) with representatives from 23 Public Housing Authorities (PHAs) with some level of smoking restriction in place, along with residents from 14 of these PHAs, from January to August 2016. Residents were typically notified of the new policy through group meetings, new resident orientations and/or one-on-one discussions during lease renewal or annual recertification. Timing of implementation varied, with advanced notice of 6 months or a year most common. Enforcement typically involved a series of verbal and/or written warnings, followed by written notice of lease violation, and eventual notice of lease termination and/or eviction. Challenges in enforcement were generally classified as monitoring difficulties or legal concerns. Characterizing current practices (e.g. advance notice, clear communication of escalating consequences, cessation support and concrete evidence of violation) from early adopters sets the stage for identifying best practices and helps to ensure successful and fair implementation of smoke-free policies in subsidized housing.

Examining smoke-free coalitions in Armenia and Georgia: baseline community capacity.

Local coalitions can advance public health initiative but have not been widely used or well-studied in low- and middle-income countries. This paper provides (i) an overview of an ongoing matched-pairs community-randomized controlled trial in 28 communities in Armenia and Georgia (N = 14/country) testing local coalitions to promote smoke-free policies/enforcement and (ii) characteristics of the communities involved. In July-August 2018, key informants (e.g. local public health center directors) were surveyed to compare their non-communicable disease (NCD) and tobacco-related activities across countries and across condition (intervention/control). More than half of the informants (50.0-57.1%) reported their communities had programs addressing hypertension, diabetes, cancer and human papilloma virus, with 85.7% involving community education and 32.1% patient education programs. Eleven communities (39.3%) addressed tobacco control, all of which were in Georgia. Of those, all included public/community education and the majority (72.7-81.8%) provided cessation counseling/classes, school/youth prevention programs, healthcare provider training or activities addressing smoke-free environments. Informants in Georgia versus Armenia perceived greater support for tobacco control from various sectors (e.g. government, community). No differences were found by condition assignment. This paper provides a foundation for presenting subsequent analyses of this ongoing trial. These analyses indicate wide variability regarding NCD-related activities and support across communities and countries.

Moderators of Establishing a Smoke-Free Home: Pooled Data from Three Randomized Controlled Trials of a Brief Intervention.

Interventions to create smoke-free homes typically focus on parents, involve multiple counseling sessions and blend cessation and smoke-free home messages. Smoke-Free Homes: Some Things are Better Outside is a minimal intervention focused on smokers and nonsmokers who allow smoking in the home, and emphasizes creation of a smoke-free home over cessation. The purpose of this study is to conduct moderator analyses using pooled data from three randomized controlled trials of the intervention conducted in collaboration with 2-1-1 contact centers in Atlanta, North Carolina and Houston. 2-1-1 is a strategic partner for tobacco control as it connects over 15 million clients, largely socio-economically disadvantaged, to social and health resources each year. A total of 1506 2-1-1 callers participated across the three intervention trials. Outcomes from 6 months intent-to-treat analyses were used to examine whether sociodemographic variables and smoking-related characteristics moderated effectiveness of the intervention in establishing full home smoking bans. Intervention effectiveness was not moderated by race/ethnicity, education, income, children in the home or number of smokers in the home. Smoking status of the participant, however, did moderate program effectiveness, as did time to first cigarette. Number of cigarettes per day and daily versus nondaily smoking did not moderate intervention effectiveness. Overall, the intervention was effective across socio-demographic groups and was effective without respect to daily versus nondaily smoking or number of cigarettes smoked per day, although smoking status and level of nicotine dependence did influence effectiveness.

A Qualitative Study about Creating Smoke-free Home Rules in American Indian and Alaska Native Households.

Smoke-free homes can reduce exposure to secondhand smoke (SHS) and support smoking cessation. The current study seeks to understand perspectives, including barriers and facilitators, on smoke-free homes among five American Indian/Alaska Native (AI/AN) communities. Guided by a national work group of tribal partners, ten focus groups were conducted with AI/AN adult smokers and nonsmokers (n = 95) in Alaska, California, Michigan and Oklahoma, stratified by smoking status. The majority of participants lived in single unit detached homes (70.5%). Most of the nonsmokers had a smoke-free home rule (92.9%) and a majority of smokers did as well (64.7%). The most common reasons for smoke-free home rules were protecting children and grandchildren, including children with health problems. Challenges to a smoke-free home included weather and visitors who smoked, along with the inconvenience of going outside, the habit of smoking inside, the need to watch a young child, safety concerns, and smokers who break the rules. Respecting rules and respecting elders emerged as important themes. Traditional use of tobacco in the home was viewed as quite distinct from recreational or everyday use. Over half (58.2%) reported never using tobacco for ceremonial, prayer or traditional reasons in their homes. Given unique considerations for the adoption of smoke-free homes in AI/AN communities, particularly regarding the use of sacred tobacco for traditional, ceremonial, or medicinal purposes, it is important to learn which barriers and facilitators are similar to the general population and which may be unique to tribal communities in the U.S.