Use of self-help materials and smoking cessation among proactively recruited and volunteer intervention participants

Associations between self-referral and health behavior responses to genetic risk information

BACKGROUND

Studies examining whether genetic risk information about common, complex diseases can motivate individuals to improve health behaviors and advance planning have shown mixed results. Examining the influence of different study recruitment strategies may help reconcile inconsistencies.

METHODS

Secondary analyses were conducted on data from the REVEAL study, a series of randomized clinical trials examining the impact of genetic susceptibility testing for Alzheimer's disease (AD). We tested whether self-referred participants (SRPs) were more likely than actively recruited participants (ARPs) to report health behavior and advance planning changes after AD risk and APOE genotype disclosure.

RESULTS

Of 795 participants with known recruitment status, 546 (69%) were self-referred and 249 (31%) had been actively recruited. SRPs were younger, less likely to identify as African American, had higher household incomes, and were more attentive to AD than ARPs (all P < 0.01). They also dropped out of the study before genetic risk disclosure less frequently (26% versus 41%, P < 0.001). Cohorts did not differ in their likelihood of reporting a change to at least one health behavior 6 weeks and 12 months after genetic risk disclosure, nor in intentions to change at least one behavior in the future. However, interaction effects were observed where ε4-positive SRPs were more likely than ε4-negative SRPs to report changes specifically to mental activities (38% vs 19%, p < 0.001) and diets (21% vs 12%, p = 0.016) six weeks post-disclosure, whereas differences between ε4-positive and ε4-negative ARPs were not evident for mental activities (15% vs 21%, p = 0.413) or diets (8% versus 16%, P = 0.190). Similarly, ε4-positive participants were more likely than ε4-negative participants to report intentions to change long-term care insurance among SRPs (20% vs 5%, p < 0.001), but not ARPs (5% versus 9%, P = 0.365).

CONCLUSIONS

Individuals who proactively seek AD genetic risk assessment are more likely to undergo testing and use results to inform behavior changes than those who respond to genetic testing offers. These results demonstrate how the behavioral impact of genetic risk information may vary according to the models by which services are provided, and suggest that how participants are recruited into translational genomics research can influence findings.

TRIAL REGISTRATION

ClinicalTrials.gov NCT00089882 and NCT00462917.

Real-world impact of quitline interventions for provider-referred smokers

BACKGROUND

The healthcare provider-referral quitline model has potential to help identify and connect more smokers to effective cessation services as compared to the self-referral model alone. However, research is limited as to whether provider-referred smokers, who may have more barriers to quitting, can have similar rates of quit success using traditional quitline interventions as self-referred smokers.

PURPOSE

To (1) determine how provider-referred smokers may differ from self-referred smokers in their demographics, service utilization, and quit rates and (2) quantify the impact of traditional quitline services on provider-referred smokers' ability to quit.

METHODS

Data were collected for 2,737 provider-referred and 530 self-referred Massachusetts quitline clients between November 2007 and February 2012. Analysis was performed in 2012. Wald chi-square tests and two-sample t-tests were used to identify differences between the two referral populations. A multivariable logistic regression model was used for each referral population, and smoker quit status at follow-up was the primary outcome. Tests and models were weighted using inverse probability of treatment weights propensity score weighting method.

RESULTS

Compared with self-referred smokers, provider-referred smokers were more likely to be non-white, less educated, and have public insurance. They were less ready to quit and had lower service utilization and quit rates. In both referral populations, clients who used services had greater odds of quitting than those who did not.

CONCLUSIONS

Expanding the provider-referral model may require quitlines to address the various risk factors associated with this population. Providers serve critical roles in preparing patients for quitline participation prior to referral.

How could disclosing incidental information from whole-genome sequencing affect patient behavior?

In this article, we argue that disclosure of incidental findings from whole-genome sequencing has the potential to motivate individuals to change health behaviors through psychological mechanisms that differ from typical risk assessment interventions. Their ability to do so, however, is likely to be highly contingent upon the nature of the incidental findings and how they are disclosed, the context of the disclosure and the characteristics of the patient. Moreover, clinicians need to be aware that behavioral responses may occur in unanticipated ways. This article argues for commentators and policy makers to take a cautious but optimistic perspective while empirical evidence is collected through ongoing research involving whole-genome sequencing and the disclosure of incidental information.

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.

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.

Peer-delivered smoking counseling for childhood cancer survivors increases rate of cessation: the partnership for health study

PURPOSE

Cancer survivors smoke at rates that are only slightly lower than the general population. This article reports on the final outcomes of Partnership for Health, a smoking cessation intervention for smokers in the Childhood Cancer Survivors Study (CCSS).

METHODS

This study is a randomized control trial with follow-up at 8 and 12 months that involved smokers (n = 796) enrolled onto the CCSS cohort. Participants were randomly assigned to either a self-help or a peer-counseling program that included up to six telephone calls from a trained childhood cancer survivor, tailored and targeted materials, and free nicotine replacement therapy. The intervention was delivered by telephone and postal service mail.

RESULTS

The quit rate was significantly higher in the counseling group compared with the self-help group at both the 8-month (16.8% v 8.5%; P < .01) and 12-month follow-ups (15% v 9%; P < or = .01). Controlling for baseline self-efficacy and readiness to change, the intervention group was twice as likely to quit smoking, compared with the self-help group. Smoking cessation rate increased with an increase in the number of counseling calls. The cost of delivering the intervention was approximately 300 dollars per participant. The incremental cost-effectiveness of the intervention compared with controls was 5,371 dollars per additional quit.

CONCLUSION

Interventions to prevent future illnesses are of critical importance to childhood cancer survivors. The Partnership for Health intervention resulted in a doubling of smoking cessation quit rates. Because of the seriousness of smoking among childhood cancer survivors, this intervention model may be appropriate as a multicomponent treatment program for survivors who smoke.

A Randomized Trial Comparing the Effects of Self-Help Materials and Proactive Telephone Counseling on Teen Smoking Cessation

We conducted a 2-arm randomized trial to test the efficacy of self-help materials with or without proactive telephone counseling to increase cessation among teen smokers. Teen smokers (N = 402) recruited from 11 shopping malls and 1 amusement park in the southeastern United States were randomized to 1 of 2 groups: written self-help material plus video; or written self-help material, video, and telephone counseling. Cessation rates based on 7-day point-prevalent abstinence for the self-help and counseling arms were 11% and 16%, respectively (p = .25), at 4 months postbaseline and 19% and 21%, respectively (p = .80), at 8 months postbaseline. Sustained abstinence, reflecting 7-day abstinence at both time points, in the self-help and counseling arms was 7% and 9% (p = .59). Results suggest that minimal self-help cessation approaches that target youth have comparable success to that shown among adult smokers. However, refinements in telephone-counseling approaches may be needed to achieve the success observed in adult populations.

Reasons for quitting smoking among low-income African American smokers

The psychometric characteristics of the Reasons For Quitting scale (RFQ) were assessed among a sample of African American smokers with low income (N=487). The intrinsic and extrinsic scales and their respective subscales were replicated. As hypothesized, higher levels of motivation were associated significantly, in patterns that supported the measure's construct validity, with advanced stage of readiness to quit smoking, greater perceived vulnerability to health effects of smoking, and greater social support for cessation. On the basis of the present study, the RFQ might best predict short-term cessation among older and female smokers. Refinement of the RFQ is needed to assess intrinsic motivators other than health concerns and to identify salient motivators for young and male smokers.