Supportive Accountability and Mobile App Use in a Tobacco Control Intervention Targeting Low-Income Minority Mothers Who Smoke: Observational Study

A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder

This paper reports the results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support the implementation of a digital medicine intervention for persons with mild-to-moderate alcohol use disorder (AUD). Participants were randomly assigned to three groups representing possible digital health support models within a health system: self-monitored use (SM; n = 185), peer-supported use (PS; n = 186), or a clinically integrated model CI; (n = 187). Across all three groups, the percentage of self-reported heavy drinking days dropped from 38.4% at baseline (95% CI [35.8%, 41%]) to 22.5% (19.5%, 25.5%) at 12 months. The clinically integrated group showed significant improvements in mental health and quality of life compared to the self-monitoring group (p = 0.011). However, higher attrition rates in the clinically integrated group warrant consideration in interpreting this result. Results suggest that making a self-guided digital intervention available to patients may be a viable option for health systems looking to promote alcohol risk reduction. This study was prospectively registered at clinicaltrials.gov on 7/03/2019 (NCT04011644).

Testing support models for implementing an evidence-based digital intervention for alcohol use disorder: results of a pragmatic hybrid implementation-effectiveness trial

This paper reports results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support implementation of a digital medicine intervention for persons with mild to moderate alcohol use disorder (AUD). Participants were randomly assigned to three groups representing possible digital health support models within a health system: self-monitored use (n = 185), peer-supported use (n = 186), or a clinically integrated model (n = 187). Across all three groups, percentage of risky drinking days dropped from 38.4% at baseline (95%CI [35.8%, 41%]) to 22.5% (19.5%, 25.5%) at 12 months. The clinically integrated group showed significant improvements in mental health quality of life compared to the self-monitoring group (p = 0.011). However, higher rates of attrition in the clinically integrated group warrants consideration in interpreting this result. Results suggest that making a self-guided digital intervention available to patients may be a viable option for health systems looking to promote alcohol risk reduction.

Eliminating children's tobacco smoke exposure: a pathway to bioverified abstinence among low-income maternal smokers in the Babies Living Safe and Smokefree (BLiSS) trial

BACKGROUND

Identifying behavioral pathways to smoking cessation in high-risk populations, such as low-income maternal smokers, could reduce tobacco disparities. The previous "BLiSS" multilevel intervention trial demonstrated efficacy of the BLiSS intervention in facilitating low-income maternal smokers' bioverified abstinence. This present study examined four putative pathways measured at 3-month end of treatment (Time 2) that could account for the observed intervention effect on smoking abstinence through 12 months (Time 2 - Time 3).

METHODS

Nutritionists in community clinics delivering safety net nutrition promotion programs across Philadelphia, Pennsylvania, USA, were trained by trial principal investigators to deliver a brief tobacco intervention informed by the American Academy of Pediatrics best practice guidelines ("Ask, Advise, Refer [AAR]"). After referral, 396 eligible participants were randomized to either a multimodal behavioral intervention (AAR + MBI) or a parallel attention control (AAR + control). Random effects regression analysis tested mediation.

RESULTS

Elimination of children's tobacco smoke exposure (TSE) at Time 2 was the only significant mediator of longitudinal smoking abstinence through Time 3. AAR + MBI mothers were more likely to eliminate their children's TSE by Time 2 (OR = 2.11, 95%CI 1.30, 3.42), which was significantly associated with Time 3 abstinence (OR = 6.72, CI 2.28, 19.80). Modeling showed a significant total effect of AAR + MBI on abstinence (OR = 6.21, CI 1.86, 20.71), a direct effect of AAR + MBI on abstinence (OR = 4.80, CI 1.45, 15.94) and an indirect effect through TSE elimination (OR = 1.29, CI 1.06, 1.57).

CONCLUSIONS

Integrating smoking cessation interventions with counseling prior to the quit attempt that is designed to facilitate adoption of smokefree home policies and efforts to eliminate children's TSE could enhance the likelihood of long-term abstinence in populations of smokers with elevated challenges quitting smoking.

The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review

Background

Promoting health behaviors and preventing chronic diseases through a healthy lifestyle among those with a low socioeconomic status (SES) remain major challenges. eHealth interventions are a promising approach to change unhealthy behaviors in this target group.

Objective

This review aims to identify key components, barriers, and facilitators in the development, reach, use, evaluation, and implementation of eHealth lifestyle interventions for people with a low SES. This review provides an overview for researchers and eHealth developers, and can assist in the development of eHealth interventions for people with a low SES.

Methods

We performed a scoping review based on Arksey and O’Malley’s framework. A systematic search was conducted on PubMed, MEDLINE (Ovid), Embase, Web of Science, and the Cochrane Library, using terms related to a combination of the following key constructs: eHealth, lifestyle, low SES, development, reach, use, evaluation, and implementation. There were no restrictions on the date of publication for articles retrieved upon searching the databases.

Results

The search identified 1323 studies, of which 42 met our inclusion criteria. An update of the search led to the inclusion of 17 additional studies. eHealth lifestyle interventions for people with a low SES were often delivered via internet-based methods (eg, websites, email, Facebook, and smartphone apps) and offline methods, such as texting. A minority of the interventions combined eHealth lifestyle interventions with face-to-face or telephone coaching, or wearables (blended care). We identified the use of different behavioral components (eg, social support) and technological components (eg, multimedia) in eHealth lifestyle interventions. Facilitators in the development included iterative design, working with different disciplines, and resonating intervention content with users. Facilitators for intervention reach were use of a personal approach and social network, reminders, and self-monitoring. Nevertheless, barriers, such as technological challenges for developers and limited financial resources, may hinder intervention development. Furthermore, passive recruitment was a barrier to intervention reach. Technical difficulties and the use of self-monitoring devices were common barriers for users of eHealth interventions. Only limited data on barriers and facilitators for intervention implementation and evaluation were available.

Conclusions

While we found large variations among studies regarding key intervention components, and barriers and facilitators, certain factors may be beneficial in building and using eHealth interventions and reaching people with a low SES. Barriers and facilitators offer promising elements that eHealth developers can use as a toolbox to connect eHealth with low SES individuals. Our findings suggest that one-size-fits-all eHealth interventions may be less suitable for people with a low SES. Future research should investigate how to customize eHealth lifestyle interventions to meet the needs of different low SES groups, and should identify the components that enhance their reach, use, and effectiveness.