A randomized trial of self-help materials, personalized feedback, and telephone counseling with nonvolunteer smokers

Subthreshold opioid use disorder prevention (STOP) trial: a cluster randomized clinical trial: study design and methods

BACKGROUND

Preventing progression to moderate or severe opioid use disorder (OUD) among people who exhibit risky opioid use behavior that does not meet criteria for treatment with opioid agonists or antagonists (subthreshold OUD) is poorly understood. The Subthreshold Opioid Use Disorder Prevention (STOP) Trial is designed to study the efficacy of a collaborative care intervention to reduce risky opioid use and to prevent progression to moderate or severe OUD in adult primary care patients with subthreshold OUD.

METHODS

The STOP trial is a cluster randomized controlled trial, randomized at the PCP level, conducted in 5 distinct geographic sites. STOP tests the efficacy of the STOP intervention in comparison to enhanced usual care (EUC) in adult primary care patients with risky opioid use that does not meet criteria for moderate-severe OUD. The STOP intervention consists of (1) a practice-embedded nurse care manager (NCM) who provides patient participant education and supports primary care providers (PCPs) in engaging and monitoring patient-participants; (2) brief advice, delivered to patient participants by their PCP and/or prerecorded video message, about health risks of opioid misuse; and (3) up to 6 sessions of telephone health coaching to motivate and support behavior change. EUC consists of primary care treatment as usual, plus printed overdose prevention educational materials and an educational video on cancer screening. The primary outcome measure is self-reported number of days of risky (illicit or nonmedical) opioid use over 180 days, assessed monthly via text message using items from the Addiction Severity Index and the Current Opioid Misuse Measure. Secondary outcomes assess other substance use, mental health, quality of life, and healthcare utilization as well as PCP prescribing and monitoring behaviors. A mixed effects negative binomial model with a log link will be fit to estimate the difference in means between treatment and control groups using an intent-to-treat population.

DISCUSSION

Given a growing interest in interventions for the management of patients with risky opioid use, and the need for primary care-based interventions, this study potentially offers a blueprint for a feasible and effective approach to improving outcomes in this population.

TRIAL REGISTRATION

Clinicaltrials.gov, identifier NCT04218201, January 6, 2020.

Review of strategies to investigate low sample return rates in remote tobacco trials: A call to action for more user-centered design research

Remote collection of biomarkers of tobacco use in clinical trials poses significant challenges. A recent meta-analysis and scoping review of the smoking cessation literature indicated that sample return rates are low and that new methods are needed to investigate the underlying causes of these low rates. In this paper we conducted a narrative review and heuristic analysis of the different human factors approaches reported to evaluate and/or improve sample return rates among 31 smoking cessation studies recently identified in the literature. We created a heuristic metric (with scores from 0 to 4) to evaluate the level of elaboration or complexity of the user-centered design strategy reported by researchers. Our review of the literature identified five types of challenges typically encountered by researchers (in that order): usability and procedural, technical (device related), sample contamination (e.g., polytobacco), psychosocial factors (e.g., digital divide), and motivational factors. Our review of strategies indicated that 35% of the studies employed user-centered design methods with the remaining studies relying on informal methods. Among the studies that employed user-centered design methods, only 6% reached a level of 3 in our user-centered design heuristic metric. None of the studies reached the highest level of complexity (i.e., 4). This review examined these findings in the context of the larger literature, discussed the need to address the role of health equity factors more directly, and concluded with a call to action to increase the application and reporting of user-centered design strategies in biomarkers research.

A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research

INTRODUCTION

Increasing digital delivery of smoking cessation interventions has resulted in the need to employ novel strategies for remote biochemical verification.

AIMS AND METHODS

This scoping review and meta-analysis aimed to investigate best practices for remote biochemical verification of smoking status. The scientific literature was searched for studies that reported remotely obtained (not in-person) biochemical confirmation of smoking status (ie, combustible tobacco). A meta-analysis of proportions was conducted to investigate key outcomes, which included rates of returned biological samples and the ratio of biochemically verified to self-reported abstinence rates.

RESULTS

A total of 82 studies were included. The most common samples were expired air (46%) and saliva (40% of studies), the most common biomarkers were carbon monoxide (48%) and cotinine (44%), and the most common verification methods were video confirmation (37%) and mail-in samples for lab analysis (26%). Mean sample return rates determined by random-effects meta-analysis were 70% for smoking cessation intervention studies without contingency management (CM), 77% for CM studies, and 65% for other studies (eg, feasibility and secondary analyses). Among smoking cessation intervention studies without CM, self-reported abstinence rates were 21%, biochemically verified abstinence rates were 10%, and 47% of individuals who self-reported abstinence were also biochemically confirmed as abstinent.

CONCLUSIONS

This scoping review suggests that improvements in sample return rates in remote biochemical verification studies of smoking status are needed. Recommendations for reporting standards are provided that may enhance confidence in the validity of reported abstinence rates in remote studies.

IMPLICATIONS

This scoping review and meta-analysis included studies using remote biochemical verification to determine smoking status. Challenges exist regarding implementation and ensuring high sample return rates. Higher self-reported compared to biochemically verified abstinence rates suggest the possibility that participants in remote studies may be misreporting abstinence or not returning samples for other reasons (eg, participant burden, inconvenience). Remote biochemical confirmation of self-reported smoking abstinence should be included in smoking cessation studies whenever feasible. However, findings should be considered in the context of challenges to sample return rates. Better reporting guidelines for future studies in this area are needed.

A Randomized Trial of Telephone-Based Smoking Cessation Treatment in the Lung Cancer Screening Setting

BACKGROUND

Lung cancer mortality is reduced via low-dose CT screening and treatment of early-stage disease. Evidence-based smoking cessation treatment in the lung screening setting can further reduce mortality. We report the results of a cessation trial from the NCI's SCALE collaboration.

METHODS

Eligible patients (N = 818) aged 50-80 were randomized (May 2017-January 2021) to the Intensive vs. Minimal arms (8 vs. 3 phone sessions plus 8 vs. 2 weeks of nicotine patches, respectively). Bio-verified (primary) and self-reported 7-day abstinence rates were assessed 3-, 6-, and 12-months post-randomization. Logistic regression analyses evaluated the effects of study arm. All statistical tests were two-sided.

RESULTS

Participants reported 48.0 (SD = 17.2) pack-years and 51.6% were not ready to quit in < 30 days. Self-reported 3-month quit rates were significantly higher in the Intensive vs. Minimal arm (14.3% vs. 7.9%; OR = 2.00, 95% confidence interval [CI] = 1.26,3.18). Bio-verified abstinence was lower but with similar relative differences between arms (9.1% vs. 3.9%; OR = 2.70, 95% CI = 1.44, 5.08). Compared to the Minimal arm, the Intensive arm was more effective among those with greater nicotine dependence (OR = 3.47, 95% CI = 1.55, 7.76), normal screening results (OR = 2.58, 95% CI = 1.32, 5.03), high engagement in counseling (OR = 3.03, 95% CI = 1.50, 6.14) and patch use (OR = 2.81, 95% CI = 1.39, 5.68). Abstinence rates did not differ significantly between arms at 6-months (OR = 1.2, 95% CI = 0.68, 2.11) or 12-months (OR = 1.4, 95% CI = 0.82, 2.42).

CONCLUSIONS

Delivering intensive telephone counseling and nicotine replacement with lung screening is an effective strategy to increase short-term smoking cessation. Methods to maintain short-term effects are needed. Even with modest quit rates, integrating cessation treatment into lung screening programs may have a large impact on tobacco-related mortality.

Cost-Effectiveness of a Telephone-Based Smoking Cessation Randomized Trial in the Lung Cancer Screening Setting

BACKGROUND

There are limited data on the cost-effectiveness of smoking cessation interventions in lung cancer screening settings. We conducted an economic analysis embedded in a national randomized trial of 2 telephone counseling cessation interventions.

METHODS

We used a societal perspective to compare the short-term cost per 6-month bio-verified quit and long-term cost-effectiveness of the interventions. Trial data were used to micro-cost intervention delivery, and the data were extended to a lifetime horizon using an established Cancer Intervention Surveillance and Modeling Network lung cancer model. We modeled the impact of screening accompanied by 8 weeks vs 3 weeks of telephone counseling (plus nicotine replacement) vs screening alone based on 2021 screening eligibility. Lifetime downstream costs (2021 dollars) and effects (life-years gained, quality-adjusted life-years [QALYs]) saved were discounted at 3%. Sensitivity analyses tested the effects of varying quit rates and costs; all analyses assumed nonrelapse after quitting.

RESULTS

The costs for delivery of the 8-week vs 3-week protocol were $380.23 vs $144.93 per person, and quit rates were 7.14% vs 5.96%, respectively. The least costly strategy was a 3-week counseling approach. An 8-week (vs 3-week) counseling approach increased costs but gained QALYs for an incremental cost-effectiveness ratio of $4029 per QALY. Screening alone cost more and saved fewer QALYs than either counseling strategy. Conclusions were robust in sensitivity analyses.

CONCLUSIONS

Telephone-based cessation interventions with nicotine replacement are considered cost-effective in the lung screening setting. Integrating smoking cessation interventions with lung screening programs has the potential to maximize long-term health benefits at reasonable costs.

Smoking Characteristics and Readiness-to-Quit Status Among Smokers Attending Preoperative Assessment Clinic - A Prospective Cohort Study

Background

Perioperative smoking is associated with an increased incidence of general postoperative morbidity and mortality. The perioperative period is recognized as an important “teachable moment” that can motivate patients to adopt health changing behaviors.

Objective

In this study, we aimed to determine the prevalence of smokers among elective surgical patients in an Asian tertiary hospital. We also investigated their smoking characteristics, previous quitting attempts, readiness-to-quit status as well as knowledge of smoking-related postoperative complications.

Methods

We conducted a single-center prospective cohort study among all patients who attended a preoperative assessment clinic within a 2-month period (August to September 2020) using a preoperative smoking questionnaire.

Results

A total of 3362 patients participated in the study, of which 348 (10.4%) were current smokers. More than half (65.6%) of the smokers had previously attempted to quit smoking, with most (78%) having made more than one attempt. Forty-nine percent of current smokers were in the pre-contemplation stage of quitting and thirty-one percent were in the contemplation stage. Only twenty-one percent were in the preparation stage of quitting. Thirty-eight percent of patients recognized the importance of smoking cessation perioperatively but only twenty-eight percent were confident of quitting perioperatively. Less than sixty percent of smokers were aware of at least one type of smoking-related postoperative complication. Less than half of the patients (45%) had ever received advice on perioperative smoking cessation from the surgeons.

Conclusion

A thorough understanding of smokers’ smoking characteristics, barriers to quit and readiness-to-quit status are crucial to establishing a successful multidisciplinary perioperative smoking cessation program. Counselling should address knowledge deficits and be tailored to a patient’s stage-of-change in order to seize this precious perioperative “teachable moment”.

Interventions for Tobacco Smoking Cessation in Adults, Including Pregnant Persons: US Preventive Services Task Force Recommendation Statement

IMPORTANCE

Tobacco use is the leading preventable cause of disease, disability, and death in the US. In 2014, it was estimated that 480 000 deaths annually are attributed to cigarette smoking, including second hand smoke exposure. Smoking during pregnancy can increase the risk of numerous adverse pregnancy outcomes (eg, miscarriage and congenital anomalies) and complications in the offspring (including sudden infant death syndrome and impaired lung function in childhood). In 2019, an estimated 50.6 million US adults (20.8% of the adult population) used tobacco; 14.0% of the US adult population currently smoked cigarettes and 4.5% of the adult population used electronic cigarettes (e-cigarettes). Among pregnant US women who gave birth in 2016, 7.2% reported smoking cigarettes while pregnant.

OBJECTIVE

To update its 2015 recommendation, the USPSTF commissioned a review to evaluate the benefits and harms of primary care interventions on tobacco use cessation in adults, including pregnant persons.

POPULATION

This recommendation statement applies to adults 18 years or older, including pregnant persons.

EVIDENCE ASSESSMENT

The USPSTF concludes with high certainty that the net benefit of behavioral interventions and US Food and Drug Associated (FDA)-approved pharmacotherapy for tobacco smoking cessation, alone or combined, in nonpregnant adults who smoke is substantial. The USPSTF concludes with high certainty that the net benefit of behavioral interventions for tobacco smoking cessation on perinatal outcomes and smoking cessation in pregnant persons is substantial. The USPSTF concludes that the evidence on pharmacotherapy interventions for tobacco smoking cessation in pregnant persons is insufficient because few studies are available, and the balance of benefits and harms cannot be determined. The USPSTF concludes that the evidence on the use of e-cigarettes for tobacco smoking cessation in adults, including pregnant persons, is insufficient, and the balance of benefits and harms cannot be determined. The USPSTF has identified the lack of well-designed, randomized clinical trials on e-cigarettes that report smoking abstinence or adverse events as a critical gap in the evidence.

RECOMMENDATIONS

The USPSTF recommends that clinicians ask all adults about tobacco use, advise them to stop using tobacco, and provide behavioral interventions and FDA-approved pharmacotherapy for cessation to nonpregnant adults who use tobacco. (A recommendation) The USPSTF recommends that clinicians ask all pregnant persons about tobacco use, advise them to stop using tobacco, and provide behavioral interventions for cessation to pregnant persons who use tobacco. (A recommendation) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of pharmacotherapy interventions for tobacco cessation in pregnant persons. (I statement) The USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of e-cigarettes for tobacco cessation in adults, including pregnant persons. The USPSTF recommends that clinicians direct patients who use tobacco to other tobacco cessation interventions with proven effectiveness and established safety. (I statement).

Personalized Feedback for Smoking and Anxiety Sensitivity: A Randomized Controlled Trial

BACKGROUND

Cigarette smoking is the leading preventable cause of death and disability globally. Most smokers want to quit, and most make a serious quit attempt each year. Nevertheless, more than 95% of cessation attempters relapse within six months. Thus, alternative interventions are needed to combat this major public health concern. Objective: The current study was conducted to develop and test a smoking treatment among 95 (63.2% male; M_age = 46.20 years, SD = 10.90) adult daily cigarette smokers that targets a known risk factor for smoking maintenance and relapse: anxiety sensitivity (AS). Methods: The current study employed a randomized controlled trial design to test an integrated, brief, computer-delivered smoking and AS intervention among current, daily smokers. Participants completed four appointments: (a) phone-screener; (b) baseline (pre-intervention assessment, intervention [personalized feedback intervention (PFI) versus smoking information control], and post-intervention assessment); (c) 2-week follow-up; and (d) 4-week follow-up. Results: Participants indicated highly positive evaluations of both the PFI and control intervention. Between the baseline and 2-week follow-up, 44.2% [PFI: 46.9% (n = 23); control: 41.3% (n = 19)] of participants reported a quit attempt. At the 4-week follow-up, 49.5% [PFI: 57.1% (n = 28); control: 41.3% (n = 19)] of participants reported a quit attempt since their previous laboratory session. Conclusion: Within the context of an intervention development approach, the present investigation provides descriptive data on the feasibility, acceptability, and initial efficacy of a single-session, computer-delivered, AS/smoking PFI.

A Randomized Controlled Study of Integrated Smoking Cessation in a Lung Cancer Screening Program

INTRODUCTION

Smoking cessation activities incorporated into lung cancer screening programs have been broadly recommended, but studies to date have not shown increased quit rates associated with cessation programs in this setting. We aimed to determine the effectiveness of smoking cessation counseling in smokers presenting for lung cancer screening.

METHODS

This study is a randomized control trial of an intensive telephone-based smoking cessation counseling intervention incorporating lung cancer screening results versus usual care (information pamphlet). All active smokers enrolled in the Alberta Lung Cancer Screening Study cohort were randomized on a 1:1 ratio with a primary endpoint of self-reported 30-day abstinence at 12 months.

RESULTS

A total of 345 active smokers participating in the screening study were randomized to active smoking cessation counseling (n = 171) or control arm (n = 174). Thirty-day smoking abstinence at 12 months post-randomization was noted in 22 of 174 (12.6%) and 24 of 171 (14.0%) of participants in the control and intervention arms, respectively, a 1.4% difference (95% confidence interval: -5.9 to 8.7, p = 0.7). No statistically significant differences in 7-day or point abstinence were noted, nor were differences at 6 months or 24 months.

CONCLUSIONS

A telephone-based smoking cessation counseling intervention incorporating lung cancer screening results did not result in increased 12-month cessation rates versus written information alone in unselected smokers undergoing lung cancer screening. Routine referral of all current smokers to counseling-based cessation programs may not improve long-term cessation in this patient cohort. Future studies should specifically focus on this subgroup of older long-term smokers to determine the optimal method of integrating smoking cessation with lung cancer screening (clinicaltrials.govNCT02431962).

Study protocol for a telephone-based smoking cessation randomized controlled trial in the lung cancer screening setting: The lung screening, tobacco, and health trial

Lung cancer mortality can be reduced by 20% via low dose CT lung cancer screening (LCS) and treatment of early-stage disease. Providing tobacco use treatment to high risk cigarette smokers in the LCS setting may result in health benefits beyond the impact of LCS. As one of the nine trials in the National Cancer Institute's Smoking Cessation at Lung Examination (SCALE) collaboration, the goal of the Lung Screening, Tobacco, and Health (LSTH) trial is to develop a scalable and cost-effective cessation intervention for subsequent implementation by LCS programs. Guided by the RE-AIM Framework, the LSTH trial is a two-arm RCT (N = 1330) enrolling English- and Spanish-speaking smokers registered for LCS at one of seven collaborating sites. Participants are randomly assigned to Usual Care (UC; three proactive telephone counseling sessions/two weeks of nicotine patches) vs. Intensive Telephone Counseling (ITC; eight proactive sessions/eight weeks of nicotine patches, plus discussion of the LCS results to increase motivation to quit). Telephone counseling is provided by tobacco treatment specialists. To increase continuity of care, referring physicians are notified of participant enrollment and smoking status following the intervention. Outcomes include: 1) self-reported 7-day, 30-day, and sustained abstinence, and biochemically-verified at 3-, 6-, and 12-months post-randomization, 2) reach and engagement of the interventions, and 3) cost-effectiveness of the interventions. The Cancer Intervention and Surveillance Modeling Network (CISNET) will model long-term impacts of six SCALE trials on the cost per life year saved, quality-adjusted life years saved, lung cancer mortality reduction, and population mortality. CLINICAL TRIALS REGISTRATION: The trial is registered at clinical trials.gov: NCT03200236.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of telephone support to help smokers quit, including proactive or reactive counselling, or the provision of other information to smokers calling a helpline.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, clinicaltrials.gov, and the ICTRP for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2018.

SELECTION CRITERIA

Randomised or quasi-randomised controlled trials which offered proactive or reactive telephone counselling to smokers to assist smoking cessation.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. We pooled studies using a random-effects model and assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. In trials including smokers who did not call a quitline, we used meta-regression to investigate moderation of the effect of telephone counselling by the planned number of calls in the intervention, trial selection of participants that were motivated to quit, and the baseline support provided together with telephone counselling (either self-help only, brief face-to-face intervention, pharmacotherapy, or financial incentives).

MAIN RESULTS

We identified 104 trials including 111,653 participants that met the inclusion criteria. Participants were mostly adult smokers from the general population, but some studies included teenagers, pregnant women, and people with long-term or mental health conditions. Most trials (58.7%) were at high risk of bias, while 30.8% were at unclear risk, and only 11.5% were at low risk of bias for all domains assessed. Most studies (100/104) assessed proactive telephone counselling, as opposed to reactive forms.Among trials including smokers who contacted helplines (32,484 participants), quit rates were higher for smokers receiving multiple sessions of proactive counselling (risk ratio (RR) 1.38, 95% confidence interval (CI) 1.19 to 1.61; 14 trials, 32,484 participants; I² = 72%) compared with a control condition providing self-help materials or brief counselling in a single call. Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate.In studies that recruited smokers who did not call a helpline, the provision of telephone counselling increased quit rates (RR 1.25, 95% CI 1.15 to 1.35; 65 trials, 41,233 participants; I² = 52%). Due to the substantial unexplained heterogeneity between studies, we downgraded the certainty of the evidence to moderate. In subgroup analysis, we found no evidence that the effect of telephone counselling depended upon whether or not other interventions were provided (P = 0.21), no evidence that more intensive support was more effective than less intensive (P = 0.43), or that the effect of telephone support depended upon whether or not people were actively trying to quit smoking (P = 0.32). However, in meta-regression, telephone counselling was associated with greater effectiveness when provided as an adjunct to self-help written support (P < 0.01), or to a brief intervention from a health professional (P = 0.02); telephone counselling was less effective when provided as an adjunct to more intensive counselling. Further, telephone support was more effective for people who were motivated to try to quit smoking (P = 0.02). The findings from three additional trials of smokers who had not proactively called a helpline but were offered telephone counselling, found quit rates were higher in those offered three to five telephone calls compared to those offered just one call (RR 1.27, 95% CI 1.12 to 1.44; 2602 participants; I² = 0%).

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that proactive telephone counselling aids smokers who seek help from quitlines, and moderate-certainty evidence that proactive telephone counselling increases quit rates in smokers in other settings. There is currently insufficient evidence to assess potential variations in effect from differences in the number of contacts, type or timing of telephone counselling, or when telephone counselling is provided as an adjunct to other smoking cessation therapies. Evidence was inconclusive on the effect of reactive telephone counselling, due to a limited number studies, which reflects the difficulty of studying this intervention.

Print-based self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials that provide a structured programme for smokers to follow may increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine the effectiveness of different forms of print-based self-help materials that provide a structured programme for smokers to follow, compared with no treatment and with other minimal contact strategies, and to determine the comparative effectiveness of different components and characteristics of print-based self-help, such as computer-generated feedback, additional materials, tailoring of materials to individuals, and targeting of materials at specific groups.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Trials Register, ClinicalTrials.gov, and the International Clinical Trials Registry Platform (ICTRP). The date of the most recent search was March 2018.

SELECTION CRITERIA

We included randomised trials of smoking cessation with follow-up of at least six months, where at least one arm tested print-based materials providing self-help compared with minimal print-based self-help (such as a short leaflet) or a lower-intensity control. We defined 'self-help' as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in accordance with standard methodological procedures set out by Cochrane. The main outcome measure was abstinence from smoking after at least six months' follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each study and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a random-effects model.

MAIN RESULTS

We identified 75 studies that met our inclusion criteria. Many study reports did not include sufficient detail to allow judgement of risk of bias for some domains. We judged 30 studies (40%) to be at high risk of bias for one or more domains.Thirty-five studies evaluated the effects of standard, non-tailored self-help materials. Eleven studies compared self-help materials alone with no intervention and found a small effect in favour of the intervention (n = 13,241; risk ratio (RR) 1.19, 95% confidence interval (CI) 1.03 to 1.37; I² = 0%). We judged the evidence to be of moderate certainty in accordance with GRADE, downgraded for indirect relevance to populations in low- and middle-income countries because evidence for this comparison came from studies conducted solely in high-income countries and there is reason to believe the intervention might work differently in low- and middle-income countries. This analysis excluded two studies by the same author team with strongly positive outcomes that were clear outliers and introduced significant heterogeneity. Six further studies of structured self-help compared with brief leaflets did not show evidence of an effect of self-help materials on smoking cessation (n = 7023; RR 0.87, 95% CI 0.71 to 1.07; I² = 21%). We found evidence of benefit from standard self-help materials when there was brief contact that did not include smoking cessation advice (4 studies; n = 2822; RR 1.39, 95% CI 1.03 to 1.88; I² = 0%), but not when self-help was provided as an adjunct to face-to-face smoking cessation advice for all participants (11 studies; n = 5365; RR 0.99, 95% CI 0.76 to 1.28; I² = 32%).Thirty-two studies tested materials tailored for the characteristics of individual smokers, with controls receiving no materials, or stage-matched or non-tailored materials. Most of these studies used more than one mailing. Pooling studies that compared tailored self-help with no self-help, either on its own or compared with advice, or as an adjunct to advice, showed a benefit of providing tailored self-help interventions (12 studies; n = 19,190; RR 1.34, 95% CI 1.20 to 1.49; I² = 0%) with little evidence of difference between subgroups (10 studies compared tailored with no materials, n = 14,359; RR 1.34, 95% CI 1.19 to 1.51; I² = 0%; two studies compared tailored materials with brief advice, n = 2992; RR 1.13, 95% CI 0.86 to 1.49; I² = 0%; and two studies evaluated tailored materials as an adjunct to brief advice, n = 1839; RR 1.72, 95% CI 1.17 to 2.53; I² = 10%). When studies compared tailored self-help with non-tailored self-help, results favoured tailored interventions when the tailored interventions involved more mailings than the non-tailored interventions (9 studies; n = 14,166; RR 1.42, 95% CI 1.20 to 1.68; I² = 0%), but not when the two conditions were contact-matched (10 studies; n = 11,024; RR 1.07, 95% CI 0.89 to 1.30; I² = 50%). We judged the evidence to be of moderate certainty in accordance with GRADE, downgraded for risk of bias.Five studies evaluated self-help materials as an adjunct to nicotine replacement therapy; pooling three of these provided no evidence of additional benefit (n = 1769; RR 1.05, 95% CI 0.86 to 1.30; I² = 0%). Four studies evaluating additional written materials favoured the intervention, but the lower confidence interval crossed the line of no effect (RR 1.20, 95% CI 0.91 to 1.58; I² = 73%). A small number of other studies did not detect benefit from using targeted materials, or find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Moderate-certainty evidence shows that when no other support is available, written self-help materials help more people to stop smoking than no intervention. When people receive advice from a health professional or are using nicotine replacement therapy, there is no evidence that self-help materials add to their effect. However, small benefits cannot be excluded. Moderate-certainty evidence shows that self-help materials that use data from participants to tailor the nature of the advice or support given are more effective than no intervention. However, when tailored self-help materials, which typically involve repeated assessment and mailing, were compared with untailored materials delivered similarly, there was no evidence of benefit.Available evidence tested self-help interventions in high-income countries, where more intensive support is often available. Further research is needed to investigate effects of these interventions in low- and middle-income countries, where more intensive support may not be available.

The Equity Impact of Proactive Outreach to Smokers: Analysis of a Randomized Trial

INTRODUCTION

Population-based smoking-cessation services tend to preferentially benefit high-SES smokers, potentially exacerbating disparities. Interventions that include proactive outreach, telephone counseling, and free or low-cost cessation medications may be more likely to help low-SES smokers quit. This analysis evaluated the role of SES in smokers' response to a population-based proactive smoking-cessation intervention.

METHODS

This study, conducted in 2016 and 2017, was a secondary analysis of the Veterans Victory Over Tobacco Study, a multicenter pragmatic RCT of a proactive smoking-cessation intervention conducted from 2009 to 2011. Logistic regression modeling was used to test the effect of income or education level on 6-month prolonged abstinence at 1-year follow-up.

RESULTS

Of the 5,123 eligible, randomized participants, 2,565 (50%) reported their education level and 2,430 (47%) reported their income level. The interactions between education (p=0.07) or income (p=0.74) X treatment arm were not statistically significant at the 0.05 level. The largest effect sizes for the intervention were found among smokers in the lowest education category (≤11th grade), with a quit rate of 17.3% as compared with 5.7% in usual care (OR=3.5, 95% CI=1.4, 8.6) and in the lowest income range (<$10,000), with a quit rate of 18.7% as compared with 9.4% in usual care (OR=2.2, 95% CI=1.2, 4.0).

CONCLUSIONS

In a large, multicenter smoking-cessation trial, proactive outreach was associated with higher rates of prolonged abstinence among smokers at all SES levels. Proactive outreach interventions that integrate telephone-based care and facilitated cessation medication access have the potential to reduce socioeconomic disparities in quitting.

TRIAL REGISTRATION

This study is registered at www.clinicaltrials.gov NCT00608426.

Preliminary evaluation of a telephone-based smoking cessation intervention in the lung cancer screening setting: A randomized clinical trial

Incorporating effective smoking cessation interventions into lung cancer screening (LCS) programs will be essential to realizing the full benefit of screening. We conducted a pilot randomized trial to determine the feasibility and efficacy of a telephone-counseling (TC) smoking cessation intervention vs. usual care (UC) in the LCS setting. In collaboration with 3 geographically diverse LCS programs, we enrolled current smokers (61.5% participation rate) who were: registered to undergo LCS, 50-77 years old, and had a 20+ pack-year smoking history. Eligibility was not based on readiness to quit. Participants completed pre-LCS (T0) and post-LCS (T1) telephone assessments, were randomized to TC (N=46) vs. UC (N=46), and completed a final 3-month telephone assessment (T2). Both study arms received a list of evidence-based cessation resources. TC participants also received up to 6 brief counseling calls with a trained cessation counselor. Counseling calls incorporated motivational interviewing and utilized the screening result as a motivator for quitting. The outcome was biochemically verified 7-day point prevalence cessation at 3-months post-randomization. Participants (56.5% female) were 60.2 (SD=5.4) years old and reported 47.1 (SD=22.2) pack years; 30% were ready to stop smoking in the next 30 days. TC participants completed an average of 4.4 (SD=2.3) sessions. Using intent-to-treat analyses, biochemically verified quit rates were 17.4% (TC) vs. 4.3% (UC), p<.05. This study provides preliminary evidence that telephone-based cessation counseling is feasible and efficacious in the LCS setting. As millions of current smokers are now eligible for lung cancer screening, this setting represents an important opportunity to exert a large public health impact on cessation among smokers who are at very high risk for multiple tobacco-related diseases. If this evidence-based, brief, and scalable intervention is replicated, TC could help to improve the overall cost-effectiveness of LCS.

TRIAL REGISTRATION

NCT02267096, https://clinicaltrials.gov.

Patient-centered primary care for adults at high risk for AUDs: the Choosing Healthier Drinking Options In primary CarE (CHOICE) trial

BACKGROUND

Most patients with alcohol use disorders (AUDs) never receive alcohol treatment, and experts have recommended management of AUDs in primary care. The Choosing Healthier Drinking Options In primary CarE (CHOICE) trial was a randomized controlled effectiveness trial of a novel intervention for primary care patients at high risk for AUDs. This report describes the conceptual and scientific foundation of the CHOICE model of care, critical elements of the CHOICE trial design consistent with the Template for Intervention Description and Replication (TIDieR), results of recruitment, and baseline characteristics of the enrolled sample.

METHODS

The CHOICE intervention is a multi-contact, extended counseling intervention, based on the Chronic Care Model, shared decision-making, motivational interviewing, and evidence-based options for managing AUDs, designed to be practical in primary care. Outpatients who received care at 3 Veterans Affairs primary care sites in the Pacific Northwest and reported frequent heavy drinking (≥4 drinks/day for women; ≥5 for men) were recruited (2011-2014) into a trial in which half of the participants would be offered additional alcohol-related care from a nurse. CHOICE nurses offered 12 months of patient-centered care, including proactive outreach and engagement, repeated brief motivational interventions, monitoring with and without alcohol biomarkers, medications for AUDs, and/or specialty alcohol treatment as appropriate and per patient preference. A CHOICE nurse practitioner was available to prescribe medications for AUDs.

RESULTS

A total of 304 patients consented to participate in the CHOICE trial. Among consenting participants, 90% were men, the mean age was 51 (range 22-75), and most met DSM-IV criteria for alcohol abuse (14%) or dependence (59%). Many participants also screened positive for tobacco use (44%), depression (45%), anxiety disorders (30-41%) and non-tobacco drug use disorders (19%). At baseline, participants had a median AUDIT score of 18 [Interquartile range (IQR) 14-24] and a median readiness to change drinking score of 5 (IQR 2.75-6.25) on a 1-10 Likert scale.

CONCLUSION

The CHOICE trial tested a patient-centered intervention for AUDs and recruited primary care patients at high risk for AUDs, with a spectrum of severity, co-morbidity, and readiness to change drinking. Trial registration The trial is registered at clinicaltrial.gov (NCT01400581).

MIFuzzy Clustering for Incomplete Longitudinal Data in Smart Health

Missing data are common in longitudinal observational and randomized controlled trials in smart health studies. Multiple-imputation based fuzzy clustering is an emerging non-parametric soft computing method, used for either semi-supervised or unsupervised learning. Multiple imputation (MI) has been widely-used in missing data analyses, but has not yet been scrutinized for unsupervised learning methods, although they are important for explaining the heterogeneity of treatment effects. Built upon our previous work on MIfuzzy clustering, this paper introduces the MIFuzzy concepts and performance, theoretically, empirically and numerically demonstrate how MI-based approach can reduce the uncertainty of clustering accuracy in comparison to non- and single-imputation based clustering approach. This paper advances our understanding of the utility and strength of MIFuzzy clustering approach to processing incomplete longitudinal behavioral intervention data.

Automated telephone communication systems for preventive healthcare and management of long-term conditions

BACKGROUND

Automated telephone communication systems (ATCS) can deliver voice messages and collect health-related information from patients using either their telephone's touch-tone keypad or voice recognition software. ATCS can supplement or replace telephone contact between health professionals and patients. There are four different types of ATCS: unidirectional (one-way, non-interactive voice communication), interactive voice response (IVR) systems, ATCS with additional functions such as access to an expert to request advice (ATCS Plus) and multimodal ATCS, where the calls are delivered as part of a multicomponent intervention.

OBJECTIVES

To assess the effects of ATCS for preventing disease and managing long-term conditions on behavioural change, clinical, process, cognitive, patient-centred and adverse outcomes.

SEARCH METHODS

We searched 10 electronic databases (the Cochrane Central Register of Controlled Trials; MEDLINE; Embase; PsycINFO; CINAHL; Global Health; WHOLIS; LILACS; Web of Science; and ASSIA); three grey literature sources (Dissertation Abstracts, Index to Theses, Australasian Digital Theses); and two trial registries (www.controlled-trials.com; www.clinicaltrials.gov) for papers published between 1980 and June 2015.

SELECTION CRITERIA

Randomised, cluster- and quasi-randomised trials, interrupted time series and controlled before-and-after studies comparing ATCS interventions, with any control or another ATCS type were eligible for inclusion. Studies in all settings, for all consumers/carers, in any preventive healthcare or long term condition management role were eligible.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods to select and extract data and to appraise eligible studies.

MAIN RESULTS

We included 132 trials (N = 4,669,689). Studies spanned across several clinical areas, assessing many comparisons based on evaluation of different ATCS types and variable comparison groups. Forty-one studies evaluated ATCS for delivering preventive healthcare, 84 for managing long-term conditions, and seven studies for appointment reminders. We downgraded our certainty in the evidence primarily because of the risk of bias for many outcomes. We judged the risk of bias arising from allocation processes to be low for just over half the studies and unclear for the remainder. We considered most studies to be at unclear risk of performance or detection bias due to blinding, while only 16% of studies were at low risk. We generally judged the risk of bias due to missing data and selective outcome reporting to be unclear.For preventive healthcare, ATCS (ATCS Plus, IVR, unidirectional) probably increase immunisation uptake in children (risk ratio (RR) 1.25, 95% confidence interval (CI) 1.18 to 1.32; 5 studies, N = 10,454; moderate certainty) and to a lesser extent in adolescents (RR 1.06, 95% CI 1.02 to 1.11; 2 studies, N = 5725; moderate certainty). The effects of ATCS in adults are unclear (RR 2.18, 95% CI 0.53 to 9.02; 2 studies, N = 1743; very low certainty).For screening, multimodal ATCS increase uptake of screening for breast cancer (RR 2.17, 95% CI 1.55 to 3.04; 2 studies, N = 462; high certainty) and colorectal cancer (CRC) (RR 2.19, 95% CI 1.88 to 2.55; 3 studies, N = 1013; high certainty) versus usual care. It may also increase osteoporosis screening. ATCS Plus interventions probably slightly increase cervical cancer screening (moderate certainty), but effects on osteoporosis screening are uncertain. IVR systems probably increase CRC screening at 6 months (RR 1.36, 95% CI 1.25 to 1.48; 2 studies, N = 16,915; moderate certainty) but not at 9 to 12 months, with probably little or no effect of IVR (RR 1.05, 95% CI 0.99, 1.11; 2 studies, 2599 participants; moderate certainty) or unidirectional ATCS on breast cancer screening.Appointment reminders delivered through IVR or unidirectional ATCS may improve attendance rates compared with no calls (low certainty). For long-term management, medication or laboratory test adherence provided the most general evidence across conditions (25 studies, data not combined). Multimodal ATCS versus usual care showed conflicting effects (positive and uncertain) on medication adherence. ATCS Plus probably slightly (versus control; moderate certainty) or probably (versus usual care; moderate certainty) improves medication adherence but may have little effect on adherence to tests (versus control). IVR probably slightly improves medication adherence versus control (moderate certainty). Compared with usual care, IVR probably improves test adherence and slightly increases medication adherence up to six months but has little or no effect at longer time points (moderate certainty). Unidirectional ATCS, compared with control, may have little effect or slightly improve medication adherence (low certainty). The evidence suggested little or no consistent effect of any ATCS type on clinical outcomes (blood pressure control, blood lipids, asthma control, therapeutic coverage) related to adherence, but only a small number of studies contributed clinical outcome data.The above results focus on areas with the most general findings across conditions. In condition-specific areas, the effects of ATCS varied, including by the type of ATCS intervention in use.Multimodal ATCS probably decrease both cancer pain and chronic pain as well as depression (moderate certainty), but other ATCS types were less effective. Depending on the type of intervention, ATCS may have small effects on outcomes for physical activity, weight management, alcohol consumption, and diabetes mellitus. ATCS have little or no effect on outcomes related to heart failure, hypertension, mental health or smoking cessation, and there is insufficient evidence to determine their effects for preventing alcohol/substance misuse or managing illicit drug addiction, asthma, chronic obstructive pulmonary disease, HIV/AIDS, hypercholesterolaemia, obstructive sleep apnoea, spinal cord dysfunction or psychological stress in carers.Only four trials (3%) reported adverse events, and it was unclear whether these were related to the interventions.

AUTHORS' CONCLUSIONS

ATCS interventions can change patients' health behaviours, improve clinical outcomes and increase healthcare uptake with positive effects in several important areas including immunisation, screening, appointment attendance, and adherence to medications or tests. The decision to integrate ATCS interventions in routine healthcare delivery should reflect variations in the certainty of the evidence available and the size of effects across different conditions, together with the varied nature of ATCS interventions assessed. Future research should investigate both the content of ATCS interventions and the mode of delivery; users' experiences, particularly with regard to acceptability; and clarify which ATCS types are most effective and cost-effective.

Results of the PAS Study: A Randomized Controlled Trial Evaluating the Effectiveness of a Web-Based Multiple Tailored Smoking Cessation Program Combined With Tailored Counseling by Practice Nurses

This study investigated the effects of Web-based multiple computer tailoring and counseling by a practice nurse (MTC) compared with computer tailoring without counseling (MT) and usual care (UC) on smoking cessation rates, via a randomized controlled trial with 414 Dutch adult smokers, recruited by 91 practice nurses from May 2009 to June 2010. Logistic multilevel regression analyses were conducted with 24-hour point prevalence, 7-day point prevalence, and prolonged abstinence after 6 and 12 months as dependent variables and experimental condition as the independent variable. After 6 and 12 months, 38% and 56% of respondents were followed up, respectively. At both follow-ups, no main effects of the interventions could be identified when comparing them with care as usual and with each other-neither in analyses using available data nor in analyses using a negative scenario in which respondents lost to follow-up were considered to still be smoking. A Web-based multiple computer-tailored smoking cessation program combined with a single face-to-face counseling session by a practice nurse may not be more effective than this computer-tailored program alone or than usual smoking cessation care in the general practice setting. Yet before concluding that the addition of counseling to Web-based computer tailoring cannot be successful, more research needs to be conducted to identify the optimal number of counseling sessions to be combined with the Web-based program and to how to best attune the two modalities.

Does Motivation Matter? Analysis of a Randomized Trial of Proactive Outreach to VA Smokers

BACKGROUND

Current guidelines advise providers to assess smokers' readiness to quit, then offer cessation therapies to smokers planning to quit and motivational interventions to smokers not planning to quit.

OBJECTIVES

We examined the relationship between baseline stage of change (SOC), treatment utilization, and smoking cessation to determine whether the effect of a proactive smoking cessation intervention was dependent on smokers' level of motivation to quit.

DESIGN

Secondary analysis of a multicenter randomized controlled trial.

PARTICIPANTS

A total of 3006 current smokers, aged 18-80 years, at four Veterans Affairs (VA) medical centers.

INTERVENTIONS

Proactive care included proactive outreach (mailed invitation followed by telephone outreach), offer of smoking cessation services (telephone or face-to-face), and access to pharmacotherapy. Usual care participants had access to VA smoking cessation services and state telephone quitlines.

MAIN MEASURES

Baseline SOC measured with Readiness to Quit Ladder, and 6-month prolonged abstinence self-reported at 1 year.

KEY RESULTS

At baseline, 35.8 % of smokers were in preparation, 38.2 % in contemplation, and 26.0 % in precontemplation. The overall interaction between SOC and treatment arm was not statistically significant (p = 0.30). Among smokers in preparation, 21.1 % of proactive care participants achieved 6-month prolonged abstinence, compared to 13.1 % of usual care participants (OR, 1.8 [95 % CI, 1.2-2.6]). Similarly, proactive care increased abstinence among smokers in contemplation (11.0 % vs. 6.5 %; OR, 1.8 [95 % CI, 1.1-2.8]). Smokers in precontemplation quit smoking at similar rates (5.3 % vs. 5.6 %; OR, 0.9 [95 % CI, 0.5-1.9]). Within each stage, uptake of smoking cessation treatments increased with higher SOC and with proactive care as compared with usual care.

LIMITATIONS

Mostly male participants limits generalizability. Randomization was not stratified by SOC.

CONCLUSIONS

Proactive care increased treatment uptake compared to usual care across all SOC. Proactive care increased smoking cessation among smokers in preparation and contemplation but not in precontemplation. Proactively offering cessation therapies to smokers at all SOC will increase treatment utilization and population-level smoking cessation.

Multiple- vs Non- or Single-Imputation based Fuzzy Clustering for Incomplete Longitudinal Behavioral Intervention Data

Disentangling patients' behavioral variations is a critical step for better understanding an intervention's effects on individual outcomes. Missing data commonly exist in longitudinal behavioral intervention studies. Multiple imputation (MI) has been well studied for missing data analyses in the statistical field, however, has not yet been scrutinized for clustering or unsupervised learning, which are important techniques for explaining the heterogeneity of treatment effects. Built upon previous work on MI fuzzy clustering, this paper theoretically, empirically and numerically demonstrate how MI-based approach can reduce the uncertainty of clustering accuracy in comparison to non-and single-imputation based clustering approach. This paper advances our understanding of the utility and strength of multiple-imputation (MI) based fuzzy clustering approach to processing incomplete longitudinal behavioral intervention data.

The Moderating Role of Smoking Amount Per Day on the Relations Between Anxiety Sensitivity, Smoking Dependence, and Cognitive-Affective Aspects of Smoking Among Treatment Seeking Smokers

The current study examined the moderating effects of smoking amount per day on the relation between anxiety sensitivity and nicotine dependence, cigarette smoking outcome expectancies, and reasons for quitting smoking among 465 adult, treatment-seeking smokers (48% female; Mage = 36.6, SD = 13.5). Smoking amount per day moderated the relation between anxiety sensitivity and nicotine dependence, smoking expectancies for negative consequences and appetite control as well as intrinsic reasons for quitting. However, no moderating effect was evident for negative reinforcement expectancies. The form of the significant interactions indicated across dependent variables lower levels of smoking amount per day suppressed the relation between anxiety sensitivity and smoking related dependent variable, such that the positive relation of anxiety sensitivity to smoking dependence and cognitive-affective aspects of smoking is weaker in heavier smokers and more robust in lighter smokers.

Applying best practices to designing patient education for patients with end-stage renal disease pursuing kidney transplant

Despite the known benefits of kidney transplant, less than 30% of the 615 000 patients living with end-stage renal disease (ESRD) in the United States have received a transplant. More than 100 000 people are presently on the transplant waiting list. Although the shortage of kidneys for transplant remains a critical factor in explaining lower transplant rates, another important and modifiable factor is patients' lack of comprehensive education about transplant. The purpose of this article is to provide an overview of known best practices from the broader literature that can be used as an evidence base to design improved education for ESRD patients pursuing a kidney transplant. Best practices in chronic disease education generally reveal that education that is individually tailored, understandable for patients with low health literacy, and culturally competent is most beneficial. Effective education helps patients navigate the complex health care process successfully. Recommendations for how to incorporate these best practices into transplant education design are described. Providing more ESRD patients with transplant education that encompasses these best practices may improve their ability to make informed health care decisions and increase the numbers of patients interested in pursuing transplant.

Predictors of smokeless tobacco cessation among telephone quitline participants

BACKGROUND

The prevalence of smokeless tobacco use in the U.S. is increasing and its use is a risk factor for a number of adverse health outcomes. Currently, there is limited evidence on the effectiveness of quitlines for tobacco cessation among smokeless tobacco users.

PURPOSE

To examine factors related to tobacco abstinence among exclusive smokeless tobacco users registering for services with the Oklahoma Tobacco Helpline.

METHODS

Participants included 959 male exclusive smokeless tobacco users registering with the Helpline between 2004 and 2012; a total of 374 completed a follow-up survey 7 months post-registration. Data were collected between 2004 and 2013 and included baseline data at Helpline registration, services received, and 7-month follow-up for 30-day point-prevalence for tobacco abstinence. Univariate and multiple logistic regression examined associations between abstinence and participant characteristics, intensity of Helpline intervention, and behavioral factors. ORs and 95% CIs were reported. Analyses were completed in 2013.

RESULTS

At the 7-month follow-up, 43% of the participants reported 30-day abstinence from tobacco. Each additional completed Helpline call increased the likelihood of tobacco cessation by 20% (OR=1.20, 95% CI=1.05, 1.38). Smokeless tobacco users with higher levels of motivation to quit at baseline were twice as likely to be abstinent than those with low or moderate levels of motivation (OR=2.05, 95% CI=1.25, 3.35). Use of nicotine replacement therapy was not associated with abstinence when adjusted for Helpline calls, income, and level of motivation.

CONCLUSIONS

Tobacco quitlines offer an effective intervention to increase smokeless tobacco abstinence.

Print-based self-help interventions for smoking cessation

BACKGROUND

Many smokers give up smoking on their own, but materials giving advice and information may help them and increase the number who quit successfully.

OBJECTIVES

The aims of this review were to determine: the effectiveness of different forms of print-based self-help materials, compared with no treatment and with other minimal contact strategies; the effectiveness of adjuncts to print-based self help, such as computer-generated feedback, telephone hotlines and pharmacotherapy; and the effectiveness of approaches tailored to the individual compared with non-tailored materials.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group trials register. Date of the most recent search April 2014.

SELECTION CRITERIA

We included randomized trials of smoking cessation with follow-up of at least six months, where at least one arm tested a print-based self-help intervention. We defined self help as structured programming for smokers trying to quit without intensive contact with a therapist.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the nature of the self-help materials, the amount of face-to-face contact given to intervention and to control conditions, outcome measures, method of randomization, and completeness of follow-up.The main outcome measure was abstinence from smoking after at least six months follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each trial, and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a fixed-effect model.

MAIN RESULTS

We identified 74 trials which met the inclusion criteria. Many study reports did not include sufficient detail to judge risk of bias for some domains. Twenty-eight studies (38%) were judged at high risk of bias for one or more domains but the overall risk of bias across all included studies was judged to be moderate, and unlikely to alter the conclusions.Thirty-four trials evaluated the effect of standard, non-tailored self-help materials. Pooling 11 of these trials in which there was no face-to-face contact and provision of structured self-help materials was compared to no intervention gave an estimate of benefit that just reached statistical significance (n = 13,241, risk ratio [RR] 1.19, 95% confidence interval [CI] 1.04 to 1.37). This analysis excluded two trials with strongly positive outcomes that introduced significant heterogeneity. Six further trials without face-to-face contact in which the control group received alternative written materials did not show evidence for an effect of the smoking self-help materials (n = 7023, RR 0.88, 95% CI 0.74 to 1.04). When these two subgroups were pooled, there was no longer evidence for a benefit of standard structured materials (n = 20,264, RR 1.06, 95% CI 0.95 to 1.18). We failed to find evidence of benefit from providing standard self-help materials when there was brief contact with all participants (5 trials, n = 3866, RR 1.17, 95% CI 0.96 to 1.42), or face-to-face advice for all participants (11 trials, n = 5365, RR 0.97, 95% CI 0.80 to 1.18).Thirty-one trials offered materials tailored for the characteristics of individual smokers, with controls receiving either no materials, or stage matched or non-tailored materials. Most of the trials used more than one mailing. Pooling these showed a benefit of tailored materials (n = 40,890, RR 1.28, 95% CI 1.18 to 1.37) with moderate heterogeneity (I² = 32%). The evidence is strongest for the subgroup of nine trials in which tailored materials were compared to no intervention (n = 13,437, RR 1.35, 95% CI 1.19 to 1.53), but also supports tailored materials as more helpful than standard materials. Part of this effect could be due to the additional contact or assessment required to obtain individual data, since the subgroup of 10 trials where the number of contacts was matched did not detect an effect (n = 11,024, RR 1.06, 95% CI 0.94 to 1.20). In two trials including a direct comparison between tailored materials and brief advice from a health care provider, there was no evidence of a difference, but confidence intervals were wide (n = 2992, RR 1.13, 95% CI 0.86 to 1.49).Only four studies evaluated self-help materials as an adjunct to nicotine replacement therapy, with no evidence of additional benefit (n = 2291, RR 1.05, 95% CI 0.88 to 1.25). A small number of other trials failed to detect benefits from using additional materials or targeted materials, or to find differences between different self-help programmes.

AUTHORS' CONCLUSIONS

Standard, print-based self-help materials increase quit rates compared to no intervention, but the effect is likely to be small. We did not find evidence that they have an additional benefit when used alongside other interventions such as advice from a healthcare professional, or nicotine replacement therapy. There is evidence that materials that are tailored for individual smokers are more effective than non-tailored materials, although the absolute size of effect is still small. Available evidence tested self-help interventions in high income countries; further research is needed to investigate their effect in contexts where more intensive support is not available.

Design and participant characteristics of a randomized-controlled trial of telemedicine for smoking cessation among rural smokers

INTRODUCTION

In rural America cigarette smoking is prevalent, few cessation services are available, and healthcare providers lack the time and resources to help smokers quit. This paper describes the design and participant characteristics of Connect2Quit (C2Q), a randomized control trial (RCT) that tests the effectiveness and cost-effectiveness of integrated telemedicine counseling delivered by 2-way webcams mounted on desktop computers in participant's physician office examining rooms (ITM) versus quitline counseling delivered by telephone in participant's homes (Phone) for helping rural smokers quit.

METHODS/DESIGN

C2Q was implemented in twenty primary care and safety net clinics. Integrated telemedicine consisted of real-time video counseling, delivered to patients in their primary care physician's (PCP) office. Phone counseling, was delivered to patients in their homes. All participants received educational materials and guidance in selecting cessation medications.

RESULTS

The 566 participants were predominantly Caucasian (92%); 9% were Latino. Most (65%) earned <200% of Federal Poverty Level. One out of three lacked home internet access, 40% were not comfortable using computers, and only 4% had been seen by a doctor via telemedicine in the past. Hypertension, chronic lung disease, and diabetes were highly prevalent. Participants smoked nearly a pack a day and were highly motivated to quit.

DISCUSSION

C2Q is reaching a rural low-income population, with comorbid chronic diseases, that would benefit greatly from quitting smoking. ITM is a good delivery model, which integrates care by holding counseling sessions in the patient's PCP office and keeps the primary care team updated on patients' progress.

TRIAL REGISTRATION

CLINICAL TRIALS REGISTRATION

NCT00843505.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of proactive and reactive telephone support via helplines and in other settings to help smokers quit.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2013.

SELECTION CRITERIA

randomized or quasi-randomised controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters.

DATA COLLECTION AND ANALYSIS

One author identified and data extracted trials, and a second author checked them. The main outcome measure was the risk ratio for abstinence from smoking after at least six months follow-up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. We considered trials recruiting callers to quitlines separately from studies recruiting in other settings. Where appropriate, we pooled studies using a fixed-effect model. We used a meta-regression to investigate the effect of differences in planned number of calls, selection for motivation, and the nature of the control condition (self help only, minimal intervention, pharmacotherapy) in the group of studies recruiting in non-quitline settings.

MAIN RESULTS

Seventy-seven trials met the inclusion criteria. Some trials were judged to be at risk of bias in some domains but overall we did not judge the results to be at high risk of bias. Among smokers who contacted helplines, quit rates were higher for groups randomized to receive multiple sessions of proactive counselling (nine studies, > 24,000 participants, risk ratio (RR) for cessation at longest follow-up 1.37, 95% confidence interval (CI) 1.26 to 1.50). There was mixed evidence about whether increasing the number of calls altered quit rates but most trials used more than two calls. Three studies comparing different counselling approaches during a single quitline contact did not detect significant differences. Of three studies that tested the provision of access to a hotline two detected a significant benefit and one did not.Telephone counselling not initiated by calls to helplines also increased quitting (51 studies, > 30,000 participants, RR 1.27; 95% CI 1.20 to 1.36). In a meta-regression controlling for other factors the effect was estimated to be slightly larger if more calls were offered, and in trials that specifically recruited smokers motivated to try to quit. The relative extra benefit of counselling was smaller when it was provided in addition to pharmacotherapy (usually nicotine replacement therapy) than when the control group only received self-help material or a brief intervention.A further eight studies were too diverse to contribute to meta-analyses and are discussed separately. Two compared different intensities of counselling, both of which detected a dose response; one of these detected a benefit of multiple counselling sessions over a single call for people prescribed bupropion. The others tested a variety of interventions largely involving offering telephone counselling as part of a referral or systems change and none detected evidence of effect.

AUTHORS' CONCLUSIONS

Proactive telephone counselling aids smokers who seek help from quitlines. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness. There is limited evidence about the optimal number of calls. Proactive telephone counselling also helps people who receive it in other settings. There is some evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increase the chances of quitting compared to a minimal intervention such as providing standard self-help materials, or brief advice, or compared to pharmacotherapy alone.

A Text Message Delivered Smoking Cessation Intervention: The Initial Trial of TXT-2-Quit: Randomized Controlled Trial

BACKGROUND

Mobile technology offers the potential to deliver health-related interventions to individuals who would not otherwise present for in-person treatment. Text messaging (short message service, SMS), being the most ubiquitous form of mobile communication, is a promising method for reaching the most individuals.

OBJECTIVE

The goal of the present study was to evaluate the feasibility and preliminary efficacy of a smoking cessation intervention program delivered through text messaging.

METHODS

Adult participants (N=60, age range 18-52 years) took part in a single individual smoking cessation counseling session, and were then randomly assigned to receive either daily non-smoking related text messages (control condition) or the TXT-2-Quit (TXT) intervention. TXT consisted of automated smoking cessation messages tailored to individual's stage of smoking cessation, specialized messages provided on-demand based on user requests for additional support, and a peer-to-peer social support network. Generalized estimating equation analysis was used to assess the primary outcome (7-day point-prevalence abstinence) using a 2 (treatment groups)×3 (time points) repeated measures design across three time points: 8 weeks, 3 months, and 6 months.

RESULTS

Smoking cessation results showed an overall significant group difference in 7-day point prevalence abstinence across all follow-up time points. Individuals given the TXT intervention, with higher odds of 7-day point prevalence abstinence for the TXT group compared to the Mojo group (OR=4.52, 95% CI=1.24, 16.53). However, individual comparisons at each time point did not show significant between-group differences, likely due to reduced statistical power. Intervention feasibility was greatly improved by switching from traditional face-to-face recruitment methods (4.7% yield) to an online/remote strategy (41.7% yield).

CONCLUSIONS

Although this study was designed to develop and provide initial testing of the TXT-2-Quit system, these initial findings provide promising evidence that a text-based intervention can be successfully implemented with a diverse group of adult smokers.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT01166464; http://clinicaltrials.gov/ct2/show/NCT01166464 (Archived by WebCite at http://www.webcitation.org/6IOE8XdE0).

Enhancing long-term weight loss maintenance: 2 year results from the Keep It Off randomized controlled trial

OBJECTIVE

The Keep It Off trial evaluated the efficacy of a phone-based weight loss maintenance intervention among adults who had recently lost weight in Minnesota (2007-2010).

METHODS

419 adults who had recently lost ≥ 10% of their body weight were randomized to the "Guided" or "Self-Directed" intervention. Guided participants received a 10 session workbook, 10 biweekly, eight monthly and six bimonthly phone coaching calls, bimonthly weight graphs and tailored letters based on self-reported weights. Self-Directed participants received the workbook and two calls. Primary outcomes are weight change and maintenance (regain of <2.5% of baseline body weight).

RESULTS

Mixed model repeated-measures analysis examining weight change revealed a significant time by treatment group interaction (p<0.0085). Guided participants regained significantly less weight than the Self-Directed participants at 12 and 24 months. The odds of 24 month maintenance were 1.37 (95% CI: 0.97-2.03) times greater in the Guided than in the Self-Directed group. When maintenance rates were compared across all follow-ups, there was a consistently higher maintenance rate for Guided participants (HR 1.31, 95% CI: 1.12-1.54).

CONCLUSIONS

A sustained, supportive phone- and mail-based intervention promotes weight loss maintenance relative to a brief intervention for participants who have recently lost weight.

User preferences for a text message-based smoking cessation intervention

Younger adults are more likely to smoke and less likely to seek treatment than older smokers. They are also frequent users of communication technology. In the current study, we conducted focus groups to obtain feedback about preferences for a text message-based smoking cessation program from potential users. Participants (N = 21, M age = 25.6 years, age range = 20-33 years) were current or recently quit smokers (M cigarettes/day = 12.8) who used text messaging. Participants completed questionnaires and participated in a 2-hour focus group. Focus groups were conducted using an a priori semistructured interview guide to promote discussion of the content and functionality of the intervention. Major themes from analysis of the focus groups included support for the acceptability of a text-based cessation program, suggestions for a more technologically broad-based program, and adjustments to the program structure. Participants recommended including social networking functions, user control of program output through an online profile, and text message features to promote interaction with the system. Interestingly, many participants suggested the program should begin on individuals' identified quit day, challenging the procedures used in most cessation programs, which begin by preparing participants for a future quit date. Overall, younger adult smokers appear to be interested in participating in a smoking cessation program that uses text messages and web-based elements. Qualitative feedback regarding the perceived optimal features and structure of a technology-based intervention challenged traditional methods of implementing smoking cessation interventions and will inform the development of future programs.

Population-based tobacco treatment: study design of a randomized controlled trial

Background

Most smokers do not receive comprehensive, evidence-based treatment for tobacco use that includes intensive behavioral counseling along with pharmacotherapy. Further, the use of proven, tobacco treatments is lower among minorities than among Whites. The primary objectives of this study are to: (1) Assess the effect of a proactive care intervention (PRO) on population-level smoking abstinence rates (i.e., abstinence among all smokers including those who use and do not utilize treatment) and on utilization of tobacco treatment compared to reactive/usual care (UC) among a diverse population of smokers, (2) Compare the effect of PRO on population-level smoking abstinence rates and utilization of tobacco treatments between African American and White smokers, and (3) Determine the cost-effectiveness of the proactive care intervention.

Methods/Design

This prospective randomized controlled trial identifies a population-based sample of current smokers from the Department of Veterans Affairs (VA) electronic medical record health factor dataset. The proactive care intervention combines: (1) proactive outreach and (2) offer of choice of smoking cessation services (telephone or face-to-face). Proactive outreach includes mailed invitation materials followed by an outreach call that encourages smokers to seek treatment with choice of services. Proactive care participants who choose telephone care receive VA telephone counseling and access to pharmacotherapy. Proactive care participants who choose face-to-face care are referred to their VA facility's smoking cessation clinic. Usual care participants have access to standard smoking cessation services from their VA facility (e.g., pharmacotherapy, smoking cessation clinic) and from their state telephone quitline. Baseline data is collected from VA administrative databases and participant surveys. Outcomes from both groups are collected 12 months post-randomization from participant surveys and from VA administrative databases. The primary outcome is self-reported smoking abstinence, which is assessed at the population-level (i.e., among those who utilize and those who do not utilize tobacco treatment). Primary analyses will follow intention-to-treat methodology.

Discussion

This randomized trial is testing proactive outreach strategies offering choice of smoking cessation services, an innovation that if proven effective and cost-effective, will transform the way tobacco treatment is delivered. National dissemination of proactive treatment strategies could dramatically reduce tobacco-related morbidity, mortality, and health care costs.

Clinical trials registration

ClinicalTrials.gov: NCT00608426.

Smoking Relapse Prevention Programs and Factors That Predict Abstinence: A Controlled Study Comparing the Efficacy of Workplace Group Counselling and Proactive Phone Counselling

Aims:Most smokers who quit smoking usually relapse. Smoking relapse prevention programs are thus needed and their optimal content and duration should be therefore studied. The present study aimed to compare the efficacy of two relapse prevention programs designed for subjects who reported to be abstinent after a smoking cessation program and to assess predictors of abstinence 9 months later.Participants and design:Two-hundred and seventy-five adults who reported to be abstinent were randomised in two 9-month relapse prevention programs: Workplace Group Counselling Program (WGC) or Proactive Phone Counselling Program (PPC).Measurements:Assessment included questionnaires (Brief Symptom Inventory, BSI; Dutch Eating Behavior Questionnaire, DEBQ; Life Event Scale; sociodemographic and companies' characteristics; and companies' policy toward smoking), and abstinence measurements (self-report, breath carbon monoxide level and urinary cotinine concentration level).Findings:Quit rates at 9 months were respectively 57.5% in the PPC arm and 61.7% in the WGC arm (p= .552). Regression analysis indicated that urinary cotinine concentration level lower than or equal to 317ng/ml was associated with higher rate of abstinence (OR= 4.75, 95% CI = 1.23–18.30,p= .024). Moreover having higher BSI global severity index (OR= .36; 95% CI = .15–.83;p= .017), DEBQ external eating scores (OR= .67; 95% CI = .45–1.00;p= .050) and a free program (OR= .46; 95% CI = .22–.99;p= .048) were associated with lower rate of abstinence.Conclusions:Efficacy was similar for the two programs. This study underlines the need to monitor distress, eating behaviours, lapses and motivation, and to include in future relapse prevention programs specific psychological and/or pharmacological interventions that consider these dimensions.

Proactive telephone counseling for smoking cessation: meta-analyses by recruitment channel and methodological quality

BACKGROUND

Systematic reviews demonstrated that proactive telephone counseling increases smoking cessation rates. However, these reviews did not differentiate studies by recruitment channel, did not adequately assess methodological quality, and combined different measures of abstinence.

METHODS

Twenty-four randomized controlled trials published before December 31, 2008, included seven of active recruitment, 16 of passive recruitment, and one of mixed recruitment. We rated methodological quality on selection bias, study design, confounders, blinding, data collection methods, withdrawals, and dropouts, according to the Quality Assessment Tool for Quantitative Studies. We conducted random effects meta-analysis to pool the results according to abstinence type and follow-up time for studies overall and segregated by recruitment channel, and methodological quality. The level of statistical heterogeneity was quantified by I(2). All statistical tests were two-sided.

RESULTS

Methodological quality ratings indicated two strong, 10 moderate, and 12 weak studies. Overall, compared with self-help materials or no intervention control groups, proactive telephone counseling had a statistically significantly greater effect on point prevalence abstinence (nonsmoking at follow-up or abstinent for at least 24 hours, 7 days before follow-up) at 6-9 months (relative risk [RR] = 1.26, 95% confidence interval [CI] = 1.11 to 1.43, P < .001, I(2) = 21.4%) but not at 12-15 months after recruitment. This pattern also emerged when studies were segregated by recruitment channel (active, passive) or methodological quality (strong/moderate, weak). Overall, the positive effect on prolonged/continuous abstinence (abstinent for 3 months or longer before follow-up) was also statistically significantly greater at 6-9 months (RR = 1.58, CI = 1.26 to 1.98, P < .001, I(2) = 49.1%) and 12-18 months after recruitment (RR = 1.40, CI = 1.23 to 1.60, P < .001, I(2) = 18.5%).

CONCLUSIONS

With the exception of point prevalence abstinence in the long term, these data support previous results showing that proactive telephone counseling has a positive impact on smoking cessation. Proactive telephone counseling increased prolonged/continuous abstinence long term for both actively and passively recruited smokers.

Keep it off: a phone-based intervention for long-term weight-loss maintenance

Long-term weight-loss maintenance is notoriously difficult to achieve and promote. As the novelty of weight loss treatment fades, enthusiasm for diet and exercise tends to wane in the maintenance phase. Given the recognition of obesity as a chronic disorder requiring continued engagement in weight-control behaviors, there is a need to identify cost-effective and supportive therapies that can sustain motivation. In this paper, we describe the study design and baseline characteristics of participants enrolled in a trial to evaluate a program (Keep It Off) developed specifically for weight-loss maintenance using therapeutic phone contact with recent weight losers throughout the period in which they are at highest risk for weight regain. In the Keep It Off randomized clinical trial we are evaluating this phone-based intervention that focuses on key weight-loss maintenance behaviors followed by continued self-monitoring, reporting of weight, feedback, and outreach in members of a Minnesota managed-care organization. The goal of the intervention is to flatten the typical relapse curve. Moreover, data from this trial will inform our understanding of weight-loss maintenance, including predictors and behaviors that increase the likelihood of success over the long term.

Telephone-delivered cognitive behavioural therapy: a systematic review and meta-analysis

Telephone-delivered cognitive behavioural therapy (CBT) is an increasingly popular mode of delivering care. We conducted a systematic review which focused on physical health outcomes. Literature searches were conducted to identify randomized controlled trials (RCTs) comparing telephone-delivered CBT for improving physical health with any other therapy or routine care in patients with chronic illness. Eight RCTs (1093 patients) met the eligibility criteria and were included in the review. Six of the eight RCTs compared the telephone intervention with routine care, one trial employed symptom monitoring as the control condition and the final trial compared telephone CBT to telephone supportive emotion-focused therapy. Meta-analysis found that telephone-delivered CBT significantly improved physical health in people with chronic illness (d = 0.225, 95% CI = 0.105, 0.344). Moderator analyses found that less therapist contact was associated with better outcomes, and telephone-delivered CBT was more effective for chronic illnesses that are not immediately life-threatening. The results of the meta-analysis support the use of telephone-delivered CBT as a tool for improving health in people with chronic illness. There is a need for future trials to evaluate cost-effectiveness.

Interest in behavioral and psychological treatments delivered face-to-face, by telephone, and by internet

Little is known about the acceptability of internet and telephone treatments, or what factors might influence patient interest in receiving treatments via these media. This study examined the level of interest in face-to-face, telephone, and internet treatment and factors that might influence that interest. Six hundred fifty-eight primary care patients were surveyed. Among patients interested in some form of behavioral treatment, 91.9% were interested or would consider face-to-face care compared to 62.4% for telephone and 48.0% for internet care. Symptom severity was unrelated to interest in treatment delivery medium. Interest in specific treatment targeting mental health, lifestyle, or pain was more strongly predictive of interest in face-to-face treatment than telephone or internet treatments. Only interest in lifestyle intervention was predictive of interest in internet-delivered treatment. Time constraints as a barrier were more predictive of interest in telephone and internet treatments compared to face-to-face. These findings provide some support for the notion that telephone and internet treatments may overcome barriers. People who seek help with lifestyle change may be more open to internet-delivered treatments, while interest in internet intervention does not appear to be associated with the desire for help in mental health, pain, or tobacco use.

Stage-based interventions for smoking cessation

BACKGROUND

The transtheoretical model is the most widely known of several stage-based theories of behaviour. It proposes that smokers move through a discrete series of motivational stages before they quit successfully. These are precontemplation (no thoughts of quitting), contemplation (thinking about quitting), preparation (planning to quit in the next 30 days), action (quitting successfully for up to six months), and maintenance (no smoking for more than six months). According to this influential model, interventions which help people to stop smoking should be tailored to their stage of readiness to quit, and are designed to move them forward through subsequent stages to eventual success. People in the preparation and action stages of quitting would require different types of support from those in precontemplation or contemplation.

OBJECTIVES

Our primary objective was to test the effectiveness of stage-based interventions in helping smokers to quit.

SEARCH STRATEGY

We searched the Cochrane Tobacco Addiction Group's specialised register for trials, using the terms ('stage* of change', 'transtheoretical model*', 'trans-theoretical model*, 'precaution adoption model*', 'health action model', 'processes of change questionnaire*', 'readiness to change', 'tailor*') and 'smoking' in the title or abstract, or as keywords. The latest search was in August 2010.

SELECTION CRITERIA

We included randomized controlled trials, which compared stage-based interventions with non-stage-based controls, with 'usual care' or with assessment only. We excluded trials which did not report a minimum follow-up period of six months from start of treatment, and those which measured stage of change but did not modify their intervention in the light of it.

DATA COLLECTION AND ANALYSIS

We extracted data in duplicate on the participants, the dose and duration of intervention, the outcome measures, the randomization procedure, concealment of allocation, and completeness of follow up.The main outcome was abstinence from smoking for at least six months. We used the most rigorous definition of abstinence, and preferred biochemically validated rates where reported. Where appropriate we performed meta-analysis to estimate a pooled risk ratio, using the Mantel-Haenszel fixed-effect model.

MAIN RESULTS

We found 41 trials (>33,000 participants) which met our inclusion criteria. Four trials, which directly compared the same intervention in stage-based and standard versions, found no clear advantage for the staging component. Stage-based versus standard self-help materials (two trials) gave a relative risk (RR) of 0.93 (95% CI 0.62 to 1.39). Stage-based versus standard counselling (two trials) gave a relative risk of 1.00 (95% CI 0.82 to 1.22). Six trials of stage-based self-help systems versus any standard self-help support demonstrated a benefit for the staged groups, with an RR of 1.27 (95% CI 1.01 to 1.59). Twelve trials comparing stage-based self help with 'usual care' or assessment-only gave an RR of 1.32 (95% CI 1.17 to 1.48). Thirteen trials of stage-based individual counselling versus any control condition gave an RR of 1.24 (95% CI 1.08 to 1.42). These findings are consistent with the proven effectiveness of these interventions in their non-stage-based versions. The evidence was unclear for telephone counselling, interactive computer programmes or training of doctors or lay supporters. This uncertainty may be due in part to smaller numbers of trials.

AUTHORS' CONCLUSIONS

Based on four trials using direct comparisons, stage-based self-help interventions (expert systems and/or tailored materials) and individual counselling were neither more nor less effective than their non-stage-based equivalents. Thirty-one trials of stage-based self help or counselling interventions versus any control condition demonstrated levels of effectiveness which were comparable with their non-stage-based counterparts. Providing these forms of practical support to those trying to quit appears to be more productive than not intervening. However, the additional value of adapting the intervention to the smoker's stage of change is uncertain. The evidence is not clear for other types of staged intervention, including telephone counselling, interactive computer programmes and training of physicians or lay supporters. The evidence does not support the restriction of quitting advice and encouragement only to those smokers perceived to be in the preparation and action stages.

A meta-analysis of computer-tailored interventions for health behavior change

OBJECTIVE

Computer-tailored interventions have become increasingly common for facilitating improvement in behaviors related to chronic disease and health promotion. A sufficient number of outcome studies from these interventions are now available to facilitate the quantitative analysis of effect sizes, permitting moderator analyses that were not possible with previous systematic reviews.

METHOD

The present study employs meta-analytic techniques to assess the mean effect for 88 computer-tailored interventions published between 1988 and 2009 focusing on four health behaviors: smoking cessation, physical activity, eating a healthy diet, and receiving regular mammography screening. Effect sizes were calculated using Hedges g. Study, tailoring, and demographic moderators were examined by analyzing between-group variance and meta-regression.

RESULTS

Clinically and statistically significant overall effect sizes were found across each of the four behaviors. While effect sizes decreased after intervention completion, dynamically tailored interventions were found to have increased efficacy over time as compared with tailored interventions based on one assessment only. Study effects did not differ across communication channels nor decline when up to three behaviors were identified for intervention simultaneously.

CONCLUSION

This study demonstrates that computer-tailored interventions have the potential to improve health behaviors and suggests strategies that may lead to greater effectiveness of these techniques.

Do health educator telephone calls reduce at-risk drinking among older adults in primary care?

BACKGROUND

Alcohol screening and brief intervention for unhealthy alcohol use has not been consistently delivered in primary care as part of preventive healthcare.

OBJECTIVE

To explore whether telephone-based intervention delivered by a health educator is efficacious in reducing at-risk drinking among older adults in primary care settings.

DESIGN

Secondary analyses of data from a randomized controlled trial.

PARTICIPANTS

Subjects randomized to the intervention arm of the trial (n = 310).

INTERVENTIONS

Personalized risk reports, advice from physicians, booklet about alcohol and aging, and up to three telephone calls from a health educator. All interventions were completed before the three-month follow-up.

MEASUREMENTS

Risk outcomes (at-risk or not at-risk) at 3 and 12 months after enrollment.

MAIN RESULTS

In univariate analyses, compared to those who remained at risk, those who achieved not at-risk outcome at 3 months were more likely to be women, Hispanic or non-white, have lower levels of education, consume less alcohol, drink less frequently, and have lower baseline number of risks. In mixed-effects logistic regression models, completing all three health educator calls increased the odds of achieving not at-risk outcome compared to not completing any calls at 3 months (OR 5.31; 95% CI 1.92-14.7; p = 0.001), but not at 12 months (OR 2.01; 95% CI 0.71-5.67; p = 0.18).

CONCLUSIONS

Telephone-based intervention delivered by a health educator was moderately efficacious in reducing at-risk drinking at 3 months after enrollment among older adults receiving a multi-faceted intervention in primary care settings; however, the effect was not sustained at 12 months.

Effectiveness of three intensities of smoking cessation treatment in primary care

The purpose of this study was to compare the effectiveness of three smoking cessation programs of varying intensity applied in a primary care setting. Participants were 89 individuals randomly assigned to one of three treatment groups: brief counseling plus information pamphlet, self-help program with telephone follow-up, and intensive behavioral treatment. At the 12-mo. follow-up, intensive behavioral treatment (42.8% abstinence) was more effective than the self-help program (27.5%), which was in turn more effective than counseling (12.9%). Continued abstinence was also higher in the intensive treatment group (37.9%) than in the self-help (17.2%) and the counseling groups (9.7%), although these differences only reached statistical significance in the first and third of these groups. Treatment adherence was higher in the intensive behavioral group (82.8% of participants attended all the sessions) than in the self-help group (61.8% completed the program). The results appear to confirm a dose-response effect in the treatment of smokers and indicate satisfactory acceptability of intensive behavioral programs applied in primary care.

Design and implementation of an effective telephone counseling intervention for adolescent smoking cessation

BACKGROUND

Effective smoking cessation for youth is urgently needed, but the literature guiding such efforts is nascent. We evaluated the implementation of a proactive intervention for adolescent smoking cessation that incorporated motivational interviewing (MI) and cognitive behavioral skills training (CBST).

METHODS

We proactively identified 1058 smokers via classroom survey of enrolled juniors in 25 experimental high schools. After parental consent was obtained, trained counselors telephoned participants to invite their participation and deliver personalized smoking cessation counseling that combined MI and CBST. Implementation quality was assessed via weekly supervision of counselors, monitoring of counselor adherence to protocol via review of 5% of each counselor's calls, and formal evaluation of counselor fidelity to MI via review of a random sample of 19.8% of counseling calls using the Motivational Interviewing Treatment Integrity Code.

RESULTS

Among identified smokers, 948 (89.6%) were eligible for intervention by age (> or =18 years) or parental consent, 736 (70%) agreed to participate in telephone counseling, 691 (65%) completed one or more counseling calls, and 499 (47%) completed all planned calls. Telephone delivery of the personalized MI and CBST counseling intervention to a general population of adolescents was done with greater than 90% adherence to the intervention protocol. Review of the random sample of counselors' calls demonstrated that more than 85% of counselors' calls met or exceeded benchmark scores for four of six evaluated behaviors: MI spirit (99.1%), empathy (96.2%), ratio of reflections to questions (97.2%), and MI adherent (85.7%).

CONCLUSION

An effective proactive telephone counseling intervention consisting of MI and CBST can be successfully implemented with reach and fidelity in a general population of adolescent smokers.

Telephone recruitment into a randomized controlled trial of quitline support

BACKGROUND

Only 1%-7% of adult smokers use quitlines annually. Active telephone recruitment may increase utilization and enroll new groups of quitline users.

PURPOSE

This study aimed to (1) determine the proportion of adult daily smokers actively recruited by telephone to quitline support; (2) calculate the cost per smoker recruited; and (3) compare the characteristics of participants to smokers in the New South Wales (NSW, Australia) general population.

METHODS

Between September 2005 and April 2007, 1562 adult daily smokers randomly selected from the electronic NSW telephone directory were recruited into an RCT. The proportion of smokers and the cost per smoker recruited were examined. Participants were compared to NSW adult daily smokers from the NSW Population Health Survey and the Centre for Health Research & Psycho-oncology Smoking Community Survey. Analysis was completed in 2008.

RESULTS

More than half (52%) of eligible smokers contacted by telephone were recruited into cessation support. The cost per smoker recruited was AU$71 (US$59). Active telephone recruitment successfully enrolled smokers who are currently under-represented among quitline users. For instance, more than two thirds (68%) of participants were not intending to quit within 1 month. Compared with NSW adult daily smokers, participants were significantly more likely to be older; more highly educated; married/living with partner or divorced/separated; a nonmetropolitan resident; more nicotine dependent; more ready to quit; and have fewer household members. Participants were significantly less likely to live with a smoker than were NSW adult daily smokers.

CONCLUSIONS

Active telephone recruitment has the potential to substantially increase the proportion of smokers using quitline services at a reasonable cost. This method also engages smokers currently under-represented in quitline populations.

Smoking cessation in pregnancy

BACKGROUND

Pregnant women who continue to smoke expose their developing fetus to a wide range of risks. Assisting these patients to stop smoking can be an important intervention for the health of the baby and the mother. The management of pregnant smokers can be challenging, due to the potential risks of pharmacotherapy. There are a number of options available to the clinician to aid smoking cessation in non pregnant women. These include nicotine replacement therapy (NRT), bupropion, varenicline, and a range of non-drug therapies.

OBJECTIVE

To provide guidance to prescribers on the best way to manage smoking cessation in the pregnant patient, reviewing the risks and efficacy of the different approaches.

METHODS

An extensive literature search was carried out to find original studies which examined issues surrounding the safety and efficacy of methods of smoking cessation in pregnancy.

RESULTS/CONCLUSION

NRT is the agent of choice for smoking cessation in pregnancy as the safety of other therapies in pregnancy have not yet been proved.

Using theory and technology to design a practical and generalizable smoking reduction intervention

The aim of this article is to describe the process of using theory to form strategies for a generalizable smoking reduction intervention delivered through multiple intervention modalities. This report describes the process of integrating theory, data from diverse sources, staff from three different organizations, and different intervention modalities into an efficient, large-scale smoking reduction program featuring automated data from electronic medical records, computer-assisted telephone interviews, and tailored newsletters. The authors successfully developed a program that was consistently implemented as planned for 320 smokers in a managed care organization. The mapping of theory to intervention, data transfer and security procedures, and processes and strategies used to overcome challenges to intervention implementation should provide lessons learned for similar health promotion projects. Few intervention studies discuss details of how they translate theory into practice or how they integrate different modalities and collaborating institutions, but such integration is critical for project success.

A eficácia das intervenções farmacológicas e psicossociais para o tratamento do tabagismo: revisão da literatura

A cessação do tabagismo traz benefícios à saúde, pois indivíduos que param de fumar evitam a maioria das doenças associadas ao tabaco. Objetiva-se revisar as características fundamentais e eficácia das intervenções farmacológicas e psicossociais para o tratamento dos tabagistas, apresentando dados de revisões tipo meta-análises e de ensaios clínico randomizados. Intervenções farmacológicas como a terapia de reposição de nicotina e a bupropiona e intervenções psicossociais como a terapia cognitivo-comportamental e a intervenção motivacional face a face e por telefone demonstram eficácia. A farmacoterapia aumenta a chance de abstinência em 2 vezes e as intervenções psicossociais face a face ou por telefone em 1,5 a 2,5 vezes em relação a tabagistas recebendo intervenções controles. Estes dados fornecem subsídios para profissionais de saúde decidirem qual o melhor tratamento para o tabagista, informando as intervenções disponíveis, sua eficácia e o benefício de sua utilização.