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

Longitudinal experience of food insecurity & cigarette use in the early COVID-19 Pandemic, United States

Food insecurity is associated with cigarette smoking, yet little is known about how variability in the experience of food insecurity may relate to patterns of cigarette use. We sought to examine patterns of food insecurity and cigarette use during the COVID-19 pandemic (April 2020-March 2021). We analyzed longitudinal survey data from a nationally representative panel of adults in the United States (N = 7,880) from the Understanding Coronavirus in America Study. The primary independent variable was ten trajectories of food insecurity. Our dependent variable was past 7-day cigarette use (count of days used cigarettes). Poisson regression using generalized estimating equations was run controlling for key covariates. The prevalence of cigarette use on at least one day in the past week was lowest (17.5 %) for those who Remained Food Secure, and highest (57.9 %) among those who Became Fully Food Insecure, a group characterized by having high probability of becoming food insecure during the study period. Among those who reported at least one day of cigarette use in the past week, fewer than half (40.1 %) reported sustained use across all waves of the study. Those who Became Fully Food Insecure had an incidence rate ratio (IRR) of 1.73 (95 % CI: 1.18, 2.54) compared to those who Remained Food Secure with respect to number of smoking days. While different patterns of food insecurity are related to cigarette smoking at the population level, these results highlight that food insecurity, a key social need, may represent a novel strategy for informing reduction of tobacco use disparities.

A structural equation model of CFIR inner and outer setting constructs, organization characteristics, and national DPP enrollment

BACKGROUND

The National Diabetes Prevention Program (DPP) has made great strides in increasing accessibility to its year-long, evidence-based lifestyle change program, with around 3000 organizations having delivered the program. This large dissemination effort offers a unique opportunity to identify organization-level factors associated with program implementation and reach (enrollment) across diverse settings. The purpose of this study was to quantitatively examine the relationships among Consolidated Framework for Implementation Research (CFIR) Inner Setting and Outer Setting constructs and the implementation outcome of reach.

METHODS

This study analyzed data from a 2021 cross-sectional online survey with 586 National DPP Staff (lifestyle coaches, master trainers, program coordinators) with information about their organization, implementation outcomes, and responses to quantitative CFIR Inner Setting and Outer Setting construct items. Structural equation modeling was used to test a hypothesized path model with Inner and Outer Setting variables to explore direct and indirect pathways to enrollment.

RESULTS

The CFIR items had good internal consistency and indicated areas of implementation strength and weakness. Eight variables included as part of the CFIR structural characteristics and one organization characteristic variable had significant direct relationships with enrollment. The length of delivery, number of lifestyle coaches, number of full-time staff, large organization size, and organizations delivering in rural, suburban, and/or urban settings all had positive significant direct relationships with enrollment, while academic organizations and organizations with only non-White participants enrolled in their National DPP lifestyle change programs had a negative association with enrollment.

CONCLUSIONS

Participant reach is an important implementation outcome for the National DPP and vital to making population-level decreases in diabetes incidence in the USA. Our findings suggest that to facilitate enrollment, program implementers should focus on organizational structural characteristics such as staffing. Strengths of this study include the use of adapted and newly developed quantitative CFIR measures and structural equation modeling. Health prevention programs can use the methods and findings from this study to further understand and inform the impact of organization factors on implementation outcomes.

A scoping review of implementation of health-focused interventions in vulnerable populations

Vulnerable populations face significant challenges in getting the healthcare they need. A growing body of implementation science literature has examined factors, including facilitators and barriers, relevant to accessing healthcare in these populations. The purpose of this scoping review was to identify themes relevant for improving implementation of healthcare practices and programs for vulnerable populations. This scoping review relied on the methodological framework set forth by Arksey and O’Malley, and the Consolidated Framework for Implementation Research (CFIR) to evaluate and structure our findings. A framework analytic approach was used to code studies. Of the five CFIR Domains, the Inner Setting and Outer Setting were the most frequently examined in the 81 studies included. Themes that were pertinent to each domain are as follows—Inner Setting: organizational culture, leadership engagement, and integration of the intervention; Outer Setting: networks, external policies, and patients’ needs and resources; Characteristics of the Individual: knowledge and beliefs about the intervention, self-efficacy, as well as stigma (i.e., other attributes); Intervention Characteristics: complexities with staffing, cost, and adaptations; and Process: staff and patient engagement, planning, and ongoing reflection and evaluation. Key themes, including barriers and facilitators, are highlighted here as relevant to implementation of practices for vulnerable populations. These findings can inform tailoring of implementation strategies and health policies for vulnerable populations, thereby supporting more equitable healthcare.

Expanding Implementation Research to Prevent Chronic Diseases in Community Settings

Chronic disease prevention continues to be inadequate, overall and in achieving health equity, in spite of the many evidence-based practices and policies (EBPPs) available to address risk behaviors such as unhealthful eating, lack of physical activity, and tobacco use. Although clinical settings are needed for EBPPs that involve medical procedures such as immunization or early detection, dissemination of EBPPs can be effective in a variety of settings such as schools and childcare centers, worksites, social service organizations, and religious organizations. More implementation research is needed to meet challenges of effective application of EBPPs in such community settings, in which primary missions, capacity, cultures, and values do not focus on health services delivery. To address health equity, consideration of social and economic contexts of people reached in these settings is essential. This review presents lessons learned from past studies to guide future implementation research and practice across diverse settings and geographies.

Reducing Socioeconomic Disparities in Comprehensive Smoke-Free Rules among Households with Children: A Pilot Intervention Implemented through a National Cancer Program

Most households with a smoker do not implement comprehensive smoke-free rules (smoke-free homes and cars), and secondhand smoke (SHS) exposure remains prevalent among children and low-socioeconomic status (SES) populations. This pilot project aimed to assess implementation feasibility and impact of an intervention designed to increase smoke-free rules among socioeconomically disadvantaged households with children. The pilot was implemented through Minnesota’s National Breast and Cervical Cancer Early Detection Program (NBCCEDP). NBCCEDPs provide cancer prevention services to low-income individuals experiencing health disparities. We successfully utilized and adapted the Smoke-Free Homes Program (SFHP) to address comprehensive smoke-free rules among households with children. We used two recruitment methods: (a) direct mail (DM) and (b) opportunistic referral (OR) by patient navigators in the NBCCEDP call center. We used descriptive statistics to assess implementation outcomes and hierarchical logistic regression models (HLM) to assess change in smoke-free rules and SHS exposure over the study period. There was no comparison group, and HLM was used to examine within-person change. A total of 64 participants were recruited. Results showed 83% of participants were recruited through DM. OR had a high recruitment rate, and DM recruited more participants with a low response rate but higher retention rate. Among recruited participants with data (n = 47), smoke-free home rules increased by 50.4 percentage points during the study period (p < 0.001). Among recruited participants who had a vehicle (n = 38), smoke-free car rules increased by 37.6 percentage points (p < 0.01) and comprehensive smoke-free rules rose 40.9 percentage points (p < 0.01). Home SHS exposure declined, and within-person increase in smoke-free home rules was significantly related to less home SHS exposure (p < 0.05). It is feasible to adapt and implement the evidence-based SFHP intervention through a national cancer program, but the current pilot demonstrated recruitment is a challenge. DM produced a low response rate and therefore OR is the recommended recruitment route. Despite low recruitment rates, we conclude that the SFHP can successfully increase comprehensive smoke-free rules and reduce SHS exposure among socioeconomically disadvantaged households with children recruited through a NBCCEDP.

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.

Steps Toward Scalability: Illustrations From a Smoke-Free Homes Program

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.