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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.

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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.

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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.

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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.

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Scalable interventions remain effective across a range of real-world settings and can be modified to fit organizational and community context. "Smoke-Free Homes: Some Things are Better Outside" has been effective in promoting smoke-free home rules in low-income households in efficacy, effectiveness, generalizability, and dissemination studies. Using data from a dissemination study in collaboration with five 2-1-1 call centers in Ohio, Florida, Oklahoma, and Alabama (n = 2,345 households), this article examines key dimensions of scalability, including effectiveness by subpopulation, secondary outcomes, identification of core elements driving effectiveness, and cost-effectiveness. Evaluated by 2-1-1 staff using a pre-post design with self-reported outcomes at 2 months postbaseline, the program was equally effective for men and women, across education levels, with varying number of smokers in the home, and whether children were present in the home or not. It was more effective for nonsmokers, those who smoked fewer cigarettes per day, and African Americans. Creating a smoke-free home was associated with a new smoke-free vehicle rule (odds ratio [OR] = 3.38, confidence interval [CI 2.58, 4.42]), decreased exposure to secondhand smoke among nonsmokers (b = -2.33, p < .0001), and increased cessation among smokers (OR = 5.8, CI [3.81, 8.81]). Use of each program component was significantly associated with success in creating a smoke-free home. Using an intent-to-treat effect size of 40.1%, program benefits from 5 years of health care savings exceed program costs yielding a net savings of $9,633 for delivery to 100 households. Cost effectiveness, subpopulation analyses, and identification of core elements can help in assessing the scalability potential of research-tested interventions such as this smoke-free homes program.

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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.

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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.

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Few community interventions exist to reduce secondhand exposure to tobacco smoke in the home. This study presents the coaching process of a larger intervention to promote smoke-free homes across an efficacy and 2 effectiveness trials. It furthers assesses the coaching call's reach and participants' satisfaction with the call across three intervention sites. The sources of the data were from baseline and 3-month follow-up surveys, coaching forms or online tracking system and interviews with coaches. Reach for the coaching call across trials was fairly high from 72% to 92%. Overall, the majority of participants were highly satisfied with the intervention (M = 3.76) and found it useful in creating a smoke-free home (M = 3.63). Common goals set were changing the environment to support a home smoking ban (e.g. putting up signs, removing ashtrays) (82%) or picking a date (60%). Challenges to a smoke-free home were consistent with other literature on barriers related to household smoking restrictions, including need for assistance in quitting, outside weather and smokers who do not want to quit. Additional research is needed to explore differential reach and reactions to the coaching call as it is disseminated and the impact of coaching call on the outcome of a smoke-free home.

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BACKGROUND: Similarly to secondhand smoke (SHS), thirdhand smoke (THS) beliefs may be correlated with smoking behaviors and smokefree policies in the home. Thus, there is a need to develop and validate measures to assess beliefs about THS. METHODS: A list of 19 items related to THS were generated by an expert panel and tested in a pilot study. Based on results from an exploratory factor analysis, two factors emerged: THS persistence in the environment and THS impact on health. The scale was reduced to nine items, which showed no differential item functioning by smoking status or smoking ban status in the home. The nine items and the two factor structure were tested in a validation sample from a smoke-free homes intervention that included THS educational materials. RESULTS: The 9-item scale showed excellent internal consistency. Confirmatory factor analysis indicated good model fit for the two factor solution in a low-income population. Tests of construct validity indicated differences due to exposure to the smoke-free homes intervention, by smoking status, whether participants own or rent their home, and smoking ban status in the home. CONCLUSIONS: The BATHS scale offers researchers a valid and reliable tool to assess THS beliefs.

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This study examined the extent to which delivery of the minimal Smoke-Free Homes intervention by trained 2-1-1 information and referral specialists had an effect on the adoption of home smoking bans in low-income households. A randomized controlled trial was conducted among 2-1-1 callers (n = 500) assigned to control or intervention conditions. 2-1-1 information and referral specialists collected baseline data and delivered the intervention consisting of 3 mailings and 1 coaching call; university-based data collectors conducted follow-up interviews at 3 and 6 months post-baseline. Data were collected from June 2013 through July 2014. Participants were mostly female (87.2%), African American (61.4%), and smokers (76.6%). Participants assigned to the intervention condition were more likely than controls to report a full ban on smoking in the home at both 3- (38.1% vs 19.3%, p = < .001) and 6-month follow-up (43.2% vs 33.2%, p = .02). The longitudinal intent-to-treat analysis showed a significant intervention effect over time (OR = 1.31, p = .001), i.e. OR = 1.72 at 6 months. This study replicates prior findings showing the effectiveness of the minimal intervention to promote smoke-free homes in low-income households, and extends those findings by demonstrating they can be achieved when 2-1-1 information and referral specialists deliver the intervention. Findings offer support for this intervention as a generalizable and scalable model for reducing secondhand smoke exposure in homes.

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BACKGROUND: Replication of intervention research is reported infrequently, limiting what we know about external validity and generalisability. The Smoke Free Homes Program, a minimal intervention, increased home smoking bans by United Way 2-1-1 callers in randomised controlled trials in Atlanta, Georgia and North Carolina. OBJECTIVE: Test the programme's generalisability-external validity in a different context. METHODS: A randomised controlled trial (n=508) of English-speaking callers from smoking-discordant households (≥1 smoker and ≥1 non-smoker). 2-1-1 Texas/United Way HELPLINE call specialists serving the Texas Gulf Coast recruited callers and delivered three mailings and one coaching call, supported by an online tracking system. Data collectors, blind to study assignment, conducted telephone interviews 3 and 6 months postbaseline. RESULTS: At 3 months, more intervention households reported a smoke-free home (46.6% vs 25.4%, p<0.0001; growth model intent-to-treat OR=1.48, 95% CI 1.241 to 1.772, p<0.0001). At 6 months, self-reported full bans were 62.9% for intervention participants and 38.4% for controls (OR=2.19). Texas trial participants were predominantly women (83%), single-smoker households (76%) and African-American (65%); half had incomes ≤US$10 000/year (50%). Texas recruitment was <50% of the other sites. Fewer callers reported having a smoker in the household. Almost twice the callers with a household smoker declined interest in the programme/study. CONCLUSIONS: Our findings in a region with lower smoking rates and more diverse callers, including English-speaking Latinos, support programme generalisability and convey evidence of external validity. Our recruitment experience indicates that site-specific adjustments might improve recruitment efficiency and reach. TRIAL REGISTRATION NUMBER: NCT02097914, Results.

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INTRODUCTION: Smoke-free homes reduce exposure to secondhand smoke, contribute to lower levels of consumption, and help smokers to quit. Even when home smoking rules are established however, they may not be consistently enforced. METHODS: This study uses data from a randomized controlled trial of a brief intervention to create smoke-free homes among callers to the United Way of Greater Atlanta 2-1-1. Participants with partial or full home smoking bans at 6-month follow-up were asked about enforcement challenges, rooms where smoking occurred, and exceptions to the rules. Air nicotine monitors were placed in a subset of homes. RESULTS: Participants (n = 286) were mostly female (84.6%) and African American (84.9%). Most were smokers (79.0%) and reported at least half of their friends and relatives smoked (63.3%). Among those with a full ban, 4.3% reported their rules were broken very often whereas 52.6% stated they were never broken. Bad weather and parties were the most common exceptions to rules. Among nonsmokers with full bans, 16% reported exposure to secondhand smoke in the home 1-3 days in the past week. In multivariate analyses, having a partial ban, being a nonsmoker, and living with three or more smokers predicted higher levels of enforcement challenges. CONCLUSIONS: Findings suggest the majority of households with newly adopted smoke-free rules had no or rare enforcement challenges, but about one-fifth reported their rules were broken sometimes or very often. Interventions to create smoke-free homes should address enforcement challenges as newly adopted rules may be fragile in some households. IMPLICATIONS: Interventions that promote smoke-free homes should address enforcement challenges.

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Understanding who establishes partial home smoking bans, what these bans cover, and whether they are an intermediate step in going smoke-free would help to inform smoke-free home interventions. Participants were recruited from United Way of Greater Atlanta's 2-1-1 contact center. Data were collected at baseline, 3 and 6 months via telephone interview. Participants (n = 375) were mostly African American (84.2%) and female (84.3%). The majority (58.5%) had annual household incomes <$10,000. At baseline, 61.3% reported a partial smoking ban and 38.7% reported no ban. Existence of a partial ban as compared with no ban was associated with being female, having more than a high school education, being married and younger age. Partial bans most often meant smoking was allowed only in designated rooms (52.6%). Other common rules included: no smoking in the presence of children (18.4%) and smoking allowed only in combination with actions such as opening a window or running a fan (9.8%). A higher percentage of households with partial bans at baseline were smoke-free at 6 months (36.5%) compared with households with no bans at baseline (22.1%). Households with partial smoking bans may have a higher level of readiness to go smoke-free than households with no restrictions.

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OBJECTIVES: We tested the efficacy of a minimal intervention to create smoke-free homes in low-income households recruited through the United Way of Greater Atlanta 2-1-1, an information and referral system that connects callers to local social services. METHODS: We conducted a randomized controlled trial (n=498) from June 2012 through June 2013, with follow-up at 3 and 6 months. The intervention consisted of 3 mailings and 1 coaching call. RESULTS: Participants were mostly smokers (79.7%), women (82.7%), African American (83.3%), and not employed (76.5%), with an annual household income of $10,000 or less (55.6%). At 6-months postbaseline, significantly more intervention participants reported a full ban on smoking in the home than did control participants (40.0% vs 25.4%; P=.002). The intervention worked for smokers and nonsmokers, as well as those with or without children. CONCLUSIONS: Minimal intervention was effective in promoting smoke-free homes in low income households and offers a potentially scalable model for protecting children and adult nonsmokers from secondhand smoke exposure in their homes.

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Only half of the states in the U.S. mandate that foster homes have a smoking ban. It is beneficial to promote training about the impacts of exposure to secondhand smoke to foster caregivers. This article presents the evaluation of a training delivered to foster and adoptive parents in Georgia. The topics with highest values learned were: 5 steps to creating a smoke-free home, benefits of a smoke-free home, dangers of secondhand smoke, and thirdhand smoke.

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Third-hand smoke (THS) is the residual tobacco smoke contaminant that remains after a cigarette is extinguished. It can react with the indoor air pollutant nitrous acid to produce a carcinogen. Understanding perceptions of THS is critical, as it may inform the development of messages for promoting smoke-free homes. Six focus groups, of smokers and non-smokers, with 39 participants were conducted. Participants were asked whether they knew about THS and its harmful effects and whether it would motivate people to make their homes smoke free. They also answered questions about THS beliefs. Participants were mostly African-American, female and high-school graduate or General Educational Development (GED) recipients. Most of the participants had not heard about it and did not know what THS was. When asked about the dangers of THS, some participants made references to children indicating that they can easily inhale or ingest the residue leading to harmful effects. Almost all of the participants stated that they thought being educated about THS would motivate people to make their homes smoke free. There is a need for more scientific understanding of the potential dangers of THS and subsequent education about its exposure and harm to children and possibly adults.

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OBJECTIVE: To determine the efficacy of an automated, interactive, telephone-based health communication intervention for improving glaucoma treatment adherence among patients in 2 hospital-based eye clinics. METHOD: A total of 312 patients with glaucoma (18-80 years of age) were enrolled in a randomized controlled trial at 2 eye clinics located in hospitals in the southeastern United States. These patients were considered nonadherent because they did not take their medication, refill their medication, and/or keep their appointments. The treatment group received an automated, interactive, tailored, telephone-based health communication intervention and tailored print materials. The control group received usual care. MAIN OUTCOME MEASURES: Adherence with medication taking, prescription refills, and appointment keeping measured by interviews, medical charts, appointment records, and pharmacy data. RESULTS: A statistically significant increase was found for all adherence measures in both the intervention and control groups. Interactive telephone calls and tailored print materials did not significantly improve adherence measures compared with controls. CONCLUSIONS: During the study period, patient adherence to glaucoma treatment and appointment keeping improved in both study arms. Participation in the study and interviews may have contributed. Strategies that address individuals' barriers and facilitators may increase the impact of telephone calls, especially for appointment keeping and prescription refills. APPLICATION TO CLINICAL PRACTICE: Glaucoma patient care should include reminders about consistent use of medication and the importance of keeping appointments. More frequent, and personalized, telephone contact may be helpful to patients who are known to be nonadherent. TRIAL REGISTRATION: clinicaltrials.gov Identifier:NCT00794170.

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Very few community-based intervention studies have examined how to effectively increase the adoption of smoke-free homes. A pilot study was conducted to test the feasibility, acceptability, and short-term outcomes of a brief, four-component intervention for promoting smoke-free home policies among low-income households. We recruited forty participants (20 smokers and 20 nonsmokers) to receive the intervention at two-week intervals. The design was a pretest-posttest with follow-up at two weeks after intervention. The primary outcome measure was self-reported presence of a total home smoking ban. At follow-up, 78% of participants reported having tried to establish a smoke-free rule in their home, with significantly more nonsmokers attempting a smoke-free home than smokers (P = .03). These attempts led to increased smoking restrictions, that is, going from no ban to a partial or total ban, or from a partial to a total ban, in 43% of the homes. At follow-up, 33% of the participants reported having made their home totally smoke-free. Additionally, smokers reported smoking fewer cigarettes per day. Results suggest that the intervention is promising and warrants a rigorous efficacy trial.

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PURPOSE: To understand the factors that influence glaucoma treatment adherence with medication taking, prescription refills, and appointment keeping to develop an intervention for a specific population. PATIENTS AND METHODS: In-depth interviews were conducted with 80 individuals diagnosed with open-angle glaucoma, glaucoma suspect, or ocular hypertension. Additional eligibility requirements were that all participants were: between the ages of 18 to 80; white or African American; spoke and understood English; and were taking daily doses of topical glaucoma treatments for at least the past year. Cross-tabulations and chi2 tests were conducted to compare adherent and nonadherent individuals, classified as such based on self-report and medical chart/pharmacy data. RESULTS: Compared with adherent participants, nonadherent participants were less likely to: believe their eye doctors spent sufficient time with them; ask their eye doctor if they had any questions; know of benefits to taking their glaucoma medication regularly; and have someone help them take their glaucoma medications or drive them to eye appointments. Conversely, compared with adherent individuals, nonadherent participants were more likely to have difficulty remembering to take their medications and to believe their glaucoma would affect their eye sight in the future. CONCLUSIONS: Nonadherent glaucoma patients struggle with a variety of issues related to consistent use of glaucoma medicine and routine eye care. Interventions are needed to address these modifiable factors related to glaucoma treatment adherence.

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BACKGROUND: Few studies have reported the accuracy of measures used to assess sun-protection practices. Valid measures are critical to the internal validity and use of skin cancer control research. OBJECTIVES: We sought to validate self-reported covering-up practices of pool-goers. METHODS: A total of 162 lifeguards and 201 parent/child pairs from 16 pools in 4 metropolitan regions in the United States completed a survey and a 4-day sun-habits diary. Observations of sun-protective behaviors were conducted on two occasions. RESULTS: Agreement between observations and diaries ranged from slight to substantial, with most values in the fair to moderate range. Highest agreement was observed for parent hat use (kappa = 0.58-0.70). There was no systematic pattern of over- or under-reporting among the 3 study groups. LIMITATIONS: Potential reactivity and a relatively affluent sample are limitations. CONCLUSION: There was little over-reporting and no systematic bias, which increases confidence in reliance on verbal reports of these behaviors in surveys and intervention research.

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