Feasibility of a text-based smoking cessation intervention in rural older adults

Expectations and Preferences for Digital Cessation Treatment: Multimethods Study Among Older Adults Who Smoke Cigarettes

BACKGROUND

To address enduring age-related tobacco disparities, it is critical to promote cessation treatment among older adults (aged 65+ years). Digital health platforms offer opportunities for wide dissemination of evidence-based behavioral cessation support. However, existing digital cessation treatments are not tailored to unique aging-related needs and preferences, resulting in low uptake. Detailed information is needed about how to best adapt these treatments for this age group.

OBJECTIVE

We aimed to collect detailed, hypothesis-generating information about expectations and preferences for cessation digital treatment among older adults who smoke cigarettes.

METHODS

Semistructured interviews were conducted with adults aged 65+ years currently smoking or who had quit within the past month. Interviews included open-ended questions regarding prior experiences with digital health platforms and expectations and preferences for cessation treatment via various modalities (app-delivered, texting-based, or videoconferencing counseling). Interviews also elicited questions regarding digital modalities that integrated social components (app-delivered social forums and group videoconferencing counseling). Using an iterative, team-based approach, the thematic analysis identified meaningful themes. Interviews were supplemented with quantitative measures assessing sociodemographics, digital literacy, and physical health symptoms.

RESULTS

Participants (12/20, 60% men; 15/20, 75% White; 4/20, 20% Black or African American; 1/20, 5% Asian) were currently smoking (17/20, 85%) or had recently quit (3/20, 15%). Thematic analysis identified 3 meaningful themes across all digital modalities: convenience, accessibility, and personalization. Expected benefits of digital platforms included convenient treatment access, without reliance on transportation. Participants preferred treatments to be personalized and deliver content or strategies beyond standard education. Most (17/20, 85%) were unfamiliar with cessation apps but found them appealing given the potential for offering a novel quitting strategy. App ease of use (eg, easy navigation) was preferred. Half (10/20, 50%) would try a texting-based intervention, with many preferring texting with a counselor rather than automated messaging. Most (17/20, 85%) would use videoconferencing and expected this modality to deliver better quality counseling than via telephone. Expected videoconferencing challenges included looking presentable onscreen, technological difficulties, and privacy or security. Videoconferencing was regarded as the most personalized digital treatment, yet benefits unique to app-delivered and texting-based treatments included anonymity and access to treatment 24/7. Participants expected integrating social components into digital treatment to be useful for quit success and social connection, yet were concerned about possible interpersonal challenges.

CONCLUSIONS

Because a long history of quit attempts and familiarity with standard quitting advice is common among older adults who smoke cigarettes, digital platforms might offer appealing and novel strategies for cessation that are accessible and convenient. Overall, this population was open to trying digital cessation treatments and would prefer that these platforms prioritize ease of use and personalized content. These findings challenge the bias that older adults are uninterested or unwilling to engage with digital treatments for behavioral health.

Reaching adults who smoke cigarettes in rural Appalachia: Rationale, design & analysis plan for a mixed-methods study disseminating pharmacy-delivered cessation treatment

INTRODUCTION

Unlike other U.S. geographical regions, cigarette smoking prevalence remains stagnant in rural Appalachia. One avenue for reaching rural residents with evidence-based smoking cessation treatments could be utilizing community pharmacists. This paper describes the design, rationale, and analysis plan for a mixed-method study that will determine combinations of cessation treatment components that can be integrated within community pharmacies in rural Appalachia. The aim is to quantify the individual and synergistic effects of five highly disseminable and sustainable cessation components in a factorial experiment.

METHODS

This sequential, mixed-method research design, based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, will use a randomized controlled trial with a 25 fully crossed factorial design (32 treatment combinations) to test, alone and in combination, the most effective evidence-based cessation components: (1) QuitAid (yes vs. no) (2) tobacco quit line (yes vs. no) (3) SmokefreeTXT (yes vs. no) (4) combination NRT lozenge + NRT patch (vs. NRT patch alone), and (5) eight weeks of NRT (vs. standard four weeks).

RESULTS

Logistic regression will model abstinence at six-months, including indicators for the five treatment factors and all two-way interactions between the treatment factors. Demographic and smoking history variables will be considered to assess potential effect modification. Poisson regression will model quit attempts and percent of adherence to treatment components as secondary outcomes.

CONCLUSION

This study will provide foundational evidence on how community pharmacies in medically underserved, rural regions can be leveraged to increase utilization of existing evidence-based tobacco cessation resources for treating tobacco dependence.

CLINICAL TRIALS

NCT05660525.

The measurement of college athletes' knowledge and behavior on pre- and post-workout nutrition utilizing a text message intervention

Objective: The purpose of this study was to measure college student athletes' nutrition knowledge and behavior before and after a text message-based educational intervention. Participants: Athletes (n = 35) participated by completing a pre- and post-intervention survey. Methods: This survey gathered information on ability to identify carbohydrate and protein food sources, pre-and post-workout intake, and behavior. Text messages were sent during the 4-week intervention and included information regarding the importance of carbohydrate consumption before training, and a carbohydrate-protein mixture for recovery. Results: Dependent t-tests revealed a lack of statistically significant increases in total knowledge (p = 0.156) or behavior (p = 0.177), but an increase in the behavior questions regarding efficacy of carbohydrate before training (p = 0.026) and carbohydrate and protein after training (p = 0.016). Conclusion: This suggests the text message educational intervention did influence behavioral outcomes. Future research should focus on the effectiveness, length, and frequency of the text message intervention, and investigate the athletes' willingness to change dietary behaviors.

The effectiveness of smoking cessation interventions in rural and remote populations: Systematic review and meta-analyses

BACKGROUND

Rural and remote residents are more likely to smoke tobacco than those in major cities. However, they may experience unique systemic, provider, and individual barriers to accessing smoking cessation treatments, including distance and limited resources. Understanding the effectiveness of smoking cessation interventions in this population is important due to higher smoking-related disease burden and death compared to those in major cities.

METHODS

Medline, EMBASE, Scopus, PsychINFO, and Cochrane Library were searched until 19-02/2021. Inclusion criteria were randomised controlled trials (RCTs), cluster RCTs, randomised trials, or cluster randomised trials investigating behavioural interventions and pharmacotherapies for smoking cessation in rural and remote populations compared with a control or another smoking cessation treatment; and published in English. Given there is no internationally-standardised rurality index, definitions of 'rural' and 'remote' used by authors of studies were applied to reflect their country. Exclusion criteria were studies of non-combustible smoking cessation; and studies with urban participants in the sample. Two reviewers independently screened records for eligibility, extracted data from studies utilising a modified Cochrane Effective Practice and Organisation of Care Group form, and rated methodological quality using the Quality Assessment Tool for Quantitative Studies.

RESULTS

Sixteen studies were included. Meta-analysis revealed a statistically significant treatment effect of individual face-to-face counselling on smoking cessation (RR 2.35, 95% CI 1.16-4.76, I²=0%) in rural and remote populations. There was no statistically significant treatment effect for nicotine replacement therapy (RR 2.97, 95% CI 0.84-10.53, I²=47%), telephone-counselling (RR 1.69, 95% CI 0.56-5.06, I²=62%), and community-based multiple-interventions (RR:1.57, 95% CI 0.89-2.78, I²=85%). Certainty of evidence was rated very low for each meta-analysis.

CONCLUSION

Despite limited resources in rural and remote settings, individual face-to-face counselling for smoking cessation appears promising. Given the limited number of studies, further research about the effectiveness of smoking cessation interventions in rural and remote populations is warranted.

Impact of Depression and Nicotine Dependence on Executive Functioning in Rural Older Adult Smokers: A Brief Report (NCT02510716)

INTRODUCTION

Rural older adults are an underserved population with high rates of smoking and related morbidity and mortality. Age-related executive function deficits are common in older smokers; however, the association of depression and nicotine dependence on executive function has not been explored. This study addressed whether depression and nicotine dependence are related to executive dysfunction in rural older adult smokers.

METHODS

The sample included 40 rural older adults recruited from two primary care clinics in North Carolina. Executive function was evaluated with the Behavioral Regulation Index (BRI), Metacognition Index, and Global Executive Composite (GEC) T scores from the Behavior Rating Inventory of Executive Function-Adult. Nicotine dependence and depression symptoms were assessed using the Fagerstrom Test and Center for Epidemiologic Depression Scale-10, respectively. Analysis of variance was used to explore whether depression and/or nicotine dependence influences executive function. Nondirectional tests were performed with significance set at .10.

RESULTS

Smokers who screened positive for depression had significantly greater executive dysfunction than those who did not (BRI: p = .0003, Metacognition Index: p < .0001, GEC: p < .0001), and moderate/high dependence was associated with greater executive function deficits compared with those with mild dependence (BRI: p = .0942). Together, depression and nicotine dependence explained 50% of the variability of the GEC overall scores.

CONCLUSIONS

Executive dysfunction is common in rural older adult smokers and associated with depression and nicotine dependence severity. Futures studies should test the relationship of executive function and smoking cessation in the older adult population as it may have implications for cessation in this population.

State-level rurality and cigarette smoking-associated cancer incidence and mortality: Do individual-level trends translate to population-level outcomes?

County-level analyses demonstrate that overall cancer incidence is generally lower in rural areas, though incidence and mortality from tobacco-associated cancers are higher than in non-rural areas and have experienced slower declines over time. The goal of our study was to examine state-level rurality and smoking-related cancer outcomes. We used publicly-available national data to quantify rurality, cigarette smoking prevalence, and smoking-attributable cancer incidence and mortality at the state level and to estimate the population-attributable fraction of cancer deaths attributable to smoking for each state, overall and by gender, for 12 smoking-associated cancers. Accounting for a 15-year lag between smoking exposure and cancer diagnosis, the median proportion of smoking-attributable cancer deaths was 28.2% in Virginia (24.6% rural) and ranged from 19.9% in Utah (9.4% rural) to 35.1% in Kentucky (41.6% rural). By gender, the highest proportion of smoking-attributable cancer deaths for women (29.5%) was in a largely urban state (Nevada, 5.8% rural) and for men (38.0%) in a largely rural state (Kentucky). Regression analyses categorizing state-level rurality into low (0-13.9%), moderate (15.3-29.9%) and high (33.6-61.3%) levels showed that high rurality was associated with 5.8% higher cigarette smoking prevalence, higher age-adjusted smoking-associated cancer incidence (44.3 more cases per 100,000 population), higher smoking-associated cancer mortality (29.8 more deaths per 100,000 population), and 3.4% higher proportion of smoking-attributable cancer deaths compared with low rurality. Our findings highlight the magnitude of the relationship between state-level rurality and smoking-attributable cancer outcomes and the importance of tobacco control in reducing cancer disparities in rural populations.

Tabagismo em idosos

Introdução: o tabagismo é um grave problema de saúde pública em âmbito mundial que afeta a todas as faixas etárias, causando altas taxas de morbimortalidade evitáveis.Objetivo: descrever o que vem sendo publicado sobre o tabagismo na população idosa nos últimos cinco anos na esfera internacional.Metodologia: trata-se de uma revisão integrativa da literatura, onde foram realizadas buscas de artigos nas seguintes bases de dados: PUBMED/MEDLINE, BVS/LILACS, SCOPUS e SCIELO, utilizando os seguintes Descritores em Ciências da Saúde em inglês: “Tobacco Use Cessation” OR “Tobacco Use Disorder” AND “Health of the Elderly” OR “Aged” OR “Aged, 80 and over”. O recorte temporal foi de 2016 a 2020.Resultados: dos 1.642 trabalhos recuperados das bases, houve o afunilamento para um número total de 18 artigos, com a seguinte categorização: mortalidade e outros desfechos clínicos negativos (5); o tabagismo, as síndromes geriátricas e outras patologias (4); políticas públicas para o controle do tabaco (3); qualidade de vida e tabagismo (3); e fatores preditores para cessação tabágica (3).Conclusões: apenas um estudo selecionado foi realizado no Brasil, ressaltando a necessidade de mais estudos brasileiros envolvendo o tabagismo na população idosa objetivando uma melhor compreensão dos aspectos envolvidos e futuras capacitações e otimização de políticas públicas específicas.

The potential and barriers in the expansion and utilization of a text message-based tobacco cessation service among tobacco users in India

Background

There is growing recognition of the role of the mCessation service (MCS) in promoting tobacco cessation in India.

Objective

To examine the potential for expanding the utilization of the MCS for tobacco cessation in India after assessing the dimensions related to literacy, mobile phone access, intention to quit, and advice to quit from the second round of the Global Adult Tobacco Survey.

Methods

A cross-sectional analysis of the data collected during the second round of the nationally-representative Global Adult Tobacco Survey (GATS) (2016–17) was conducted.

Results

Current tobacco smokers, smokeless tobacco, and dual users compromised 10.7%, 21.4%, and 3.4% of the survey participants, respectively. Quit attempts were reported by 36.3% of the existing tobacco smokers, of whom nearly 72% tried to quit without any assistance, while only 0.3% used the MCS. However, the potential expansion of the MCS was likely among 11.2% tobacco users with an existing intention to quit, being literate, Hindi-speakers and having cell-phone access.

Conclusions

The utilization of the MCS can be considerably expanded among tobacco users in India by enabling multilingual usage and incorporation as standard care practice to allow the opportunistic promotion of tobacco cessation by healthcare providers at their health clinics.

The effect of a clinic-based behavioral intervention in promoting enrolment in a text-message tobacco cessation program at a rural primary health clinic in Delhi, India

INTRODUCTION

The mCessation is a text-message service for quitting tobacco in India, associated with high quit rates but low rates of enrolment. We determined if a brief behavioral intervention package (BBPMC) can promote the enrolment of male tobacco users in the mCessation program (MCP)

METHODS

We conducted a quasi-experimental study (single-arm) at a rural primary health clinic in Delhi, India, January–April 2019. We enrolled adult male current tobacco users after screening for eligibility. A trained medical physician administered the BBPMC explaining to patients the major health risks causally associated with tobacco use, along with information on the MCP and the way to register for the service.

RESULTS

We recruited a total of 159 tobacco users, mean age 44.5 years (SD=14.3) with median tobacco use duration of 15 years. After administration of the BBPMC, 50 (31.2%) participants registered with the MCP program on-site. On an adjusted analysis, tobacco users with a preexisting intention to quit were three times more likely to enroll in the MCP.

CONCLUSIONS

Physicians and other healthcare providers in Indian outpatient health settings should utilize BBPMC like interventions that are easily scalable, require no specialized training, and and allow them to fulfill their obligation to provide a readily accessible tobacco cessation service to their patients.

Smoking reduction interventions for smoking cessation

BACKGROUND

The standard way most people are advised to stop smoking is by quitting abruptly on a designated quit day. However, many people who smoke have tried to quit many times and may like to try an alternative method. Reducing smoking behaviour before quitting could be an alternative approach to cessation. However, before this method can be recommended it is important to ensure that abrupt quitting is not more effective than reducing to quit, and to determine whether there are ways to optimise reduction methods to increase the chances of cessation.

OBJECTIVES

To assess the effect of reduction-to-quit interventions on long-term smoking cessation.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, MEDLINE, Embase and PsycINFO for studies, using the terms: cold turkey, schedul*, cut* down, cut-down, gradual*, abrupt*, fading, reduc*, taper*, controlled smoking and smoking reduction. We also searched trial registries to identify unpublished studies. Date of the most recent search: 29 October 2018.

SELECTION CRITERIA

Randomised controlled trials in which people who smoked were advised to reduce their smoking consumption before quitting smoking altogether in at least one trial arm. This advice could be delivered using self-help materials or behavioural support, and provided alongside smoking cessation pharmacotherapies or not. We excluded trials that did not assess cessation as an outcome, with follow-up of less than six months, where participants spontaneously reduced without being advised to do so, where the goal of reduction was not to quit altogether, or where participants were advised to switch to cigarettes with lower nicotine levels without reducing the amount of cigarettes smoked or the length of time spent smoking. We also excluded trials carried out in pregnant women.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methods. Smoking cessation was measured after at least six months, using the most rigorous definition available, on an intention-to-treat basis. We calculated risk ratios (RRs) and 95% confidence intervals (CIs) for smoking cessation for each study, where possible. We grouped eligible studies according to the type of comparison (no smoking cessation treatment, abrupt quitting interventions, and other reduction-to-quit interventions) and carried out meta-analyses where appropriate, using a Mantel-Haenszel random-effects model. We also extracted data on quit attempts, pre-quit smoking reduction, adverse events (AEs), serious adverse events (SAEs) and nicotine withdrawal symptoms, and meta-analysed these where sufficient data were available.

MAIN RESULTS

We identified 51 trials with 22,509 participants. Most recruited adults from the community using media or local advertising. People enrolled in the studies typically smoked an average of 23 cigarettes a day. We judged 18 of the studies to be at high risk of bias, but restricting the analysis only to the five studies at low or to the 28 studies at unclear risk of bias did not significantly alter results.We identified very low-certainty evidence, limited by risk of bias, inconsistency and imprecision, comparing the effect of reduction-to-quit interventions with no treatment on cessation rates (RR 1.74, 95% CI 0.90 to 3.38; I2 = 45%; 6 studies, 1599 participants). However, when comparing reduction-to-quit interventions with abrupt quitting (standard care) we found evidence that neither approach resulted in superior quit rates (RR 1. 01, 95% CI 0.87 to 1.17; I2 = 29%; 22 studies, 9219 participants). We judged this estimate to be of moderate certainty, due to imprecision. Subgroup analysis provided some evidence (P = 0.01, I2 = 77%) that reduction-to-quit interventions may result in more favourable quit rates than abrupt quitting if varenicline is used as a reduction aid. Our analysis comparing reduction using pharmacotherapy with reduction alone found low-certainty evidence, limited by inconsistency and imprecision, that reduction aided by pharmacotherapy resulted in higher quit rates (RR 1. 68, 95% CI 1.09 to 2.58; I2 = 78%; 11 studies, 8636 participants). However, a significant subgroup analysis (P < 0.001, I2 = 80% for subgroup differences) suggests that this may only be true when fast-acting NRT or varenicline are used (both moderate-certainty evidence) and not when nicotine patch, combination NRT or bupropion are used as an aid (all low- or very low-quality evidence). More evidence is likely to change the interpretation of the latter effects.Although there was some evidence from within-study comparisons that behavioural support for reduction to quit resulted in higher quit rates than self-help resources alone, the relative efficacy of various other characteristics of reduction-to-quit interventions investigated through within- and between-study comparisons did not provide any evidence that they enhanced the success of reduction-to-quit interventions. Pre-quit AEs, SAEs and nicotine withdrawal symptoms were measured variably and infrequently across studies. There was some evidence that AEs occurred more frequently in studies that compared reduction using pharmacotherapy versus no pharmacotherapy; however, the AEs reported were mild and usual symptoms associated with NRT use. There was no clear evidence that the number of people reporting SAEs, or changes in withdrawal symptoms, differed between trial arms.

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that neither reduction-to-quit nor abrupt quitting interventions result in superior long-term quit rates when compared with one another. Evidence comparing the efficacy of reduction-to-quit interventions with no treatment was inconclusive and of low certainty. There is also low-certainty evidence to suggest that reduction-to-quit interventions may be more effective when pharmacotherapy is used as an aid, particularly fast-acting NRT or varenicline (moderate-certainty evidence). Evidence for any adverse effects of reduction-to-quit interventions was sparse, but available data suggested no excess of pre-quit SAEs or withdrawal symptoms. We downgraded the evidence across comparisons due to risk of bias, inconsistency and imprecision. Future research should aim to match any additional components of multicomponent reduction-to-quit interventions across study arms, so that the effect of reduction can be isolated. In particular, well-conducted, adequately-powered studies should focus on investigating the most effective features of reduction-to-quit interventions to maximise cessation rates.

The Impact of a Maternal Education Program Through Text Messaging in Rural China: Cluster Randomized Controlled Trial

Background

In recent years, attempts have been made to use mobile phone text messaging (short message service, SMS) to achieve positive results for a range of health issues. Reports on the impact of maternal education programs based on this widely available, inexpensive, and instant communication tool are sparse.

Objective

This study aimed to explore the impact of a maternal education program through text messaging.

Methods

We conducted a cluster randomized trial in a remote region in the Chinese province of Hunan between October 1, 2011, and December 31, 2012. We used county as the unit of randomization (a total of 10 counties), with half of the counties randomly allocated to the intervention arm (with maternal education material adapted from the World Health Organization being delivered by text messaging to village health workers and pregnant women alike) and the other half to the control arm (normal care without text messaging). Data on maternal and infant health outcomes and health behaviors were collected and compared between the 2 arms, with maternal and perinatal mortality as the primary outcomes.

Results

A total of 13,937 pregnant women completed the follow-up and were included in the final analysis. Among them, 6771 were allocated to the intervention arm and 6966 were allocated to the control arm. At the county level, the mean (SD) of maternal mortality and perinatal mortality rate were 0.0% (0.1) and 1.3% (0.6), respectively, in the intervention arm and 0.1% (0.2) and 1.5% (0.4), respectively, in the control arm. However, these differences were not statistically significant. At the individual level, there were 3 maternal deaths (0.04%) and 84 perinatal deaths (1.24%) in the intervention arm and 6 maternal deaths (0.09%) and 101 perinatal deaths (1.45%) in the control arm. However, the differences were again not statistically significant.

Conclusions

Adequate resources should be secured to launch large-scale cluster randomized trials with smaller cluster units and more intensive implementation to confirm the benefits of the text messaging–based maternal education program suggested by this trial.

Trial Registration

ClinicalTrials.gov NCT01775150; https://clinicaltrials.gov/ct2/show/NCT01775150 (Archived by WebCite at http://www.webcitation.org/74cHmUexo)