Dataset Information

Enhancing tobacco quitline effectiveness: identifying a superior pharmacotherapy adjuvant.

ABSTRACT: Telephone tobacco quitlines are effective and are widely used, with more than 500,000 U.S. callers in 2010. This study investigated the clinical effectiveness and cost-effectiveness of 3 different quitline enhancements: combination nicotine replacement therapy (NRT), longer duration of NRT, and counseling to increase NRT adherence.In this study, 987 quitline callers were randomized to a combination of quitline treatments in a 2 × 2 × 2 factorial design: NRT duration (2 vs. 6 weeks), NRT type (nicotine patch only vs. patch plus nicotine gum), and standard 4-call counseling (SC) versus SC plus medication adherence counseling (MAC). The primary outcome was 7-day point-prevalence abstinence (PPA) at 6 months postquit in intention-to-treat (ITT) analyses.Combination NRT for 6 weeks yielded the highest 6-month PPA rate (51.6%) compared with 2 weeks of nicotine patch (38.4%), odds ratios [OR] = 1.71 (95% confidence interval [CI]:1.20-2.45). A similar result was found for 2 weeks of combination NRT (48.2%), OR = 1.49 (95% CI: 1.04-2.14) but not for 6 weeks of nicotine patch alone (46.2%), OR = 1.38 (95% CI: 0.96-1.97). The MAC intervention effect was nonsignificant. Cost analyses showed that the 2-week combination NRT group had the lowest cost per quit ($442 vs. $464 for 2-week patch only, $505 for 6-week patch only, and $675 for 6-week combination NRT).Combination NRT for 2 or 6 weeks increased 6-month abstinence rates by 10% and 13%, respectively, over rates produced by 2 weeks of nicotine patch when offered with quitline counseling. A 10% improvement would potentially yield an additional 50,000 quitters annually, assuming 500,000 callers to U.S. quitlines per year.

SUBMITTER: Smith SS

PROVIDER: S-EPMC3611992 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Enhancing tobacco quitline effectiveness: identifying a superior pharmacotherapy adjuvant.

Smith Stevens S SS Keller Paula A PA Kobinsky Kate H KH Baker Timothy B TB Fraser David L DL Bush Terry T Magnusson Brooke B Zbikowski Susan M SM McAfee Timothy A TA Fiore Michael C MC

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 20120919 3

<h4>Introduction</h4>Telephone tobacco quitlines are effective and are widely used, with more than 500,000 U.S. callers in 2010. This study investigated the clinical effectiveness and cost-effectiveness of 3 different quitline enhancements: combination nicotine replacement therapy (NRT), longer duration of NRT, and counseling to increase NRT adherence.<h4>Methods</h4>In this study, 987 quitline callers were randomized to a combination of quitline treatments in a 2 × 2 × 2 factorial design: NRT d ...[more]

PMID: 22992296

Similar Datasets

Project description:It is estimated that the prevalence of smoking among adults with MHDs ranges between 40-60%, as compared to about 17% among those without an MHD. In addition, smokers with MHDs smoke more cigarettes, are more nicotine dependent, and experience more difficulty quitting, compared to other smokers. The uniquely high smoking prevalence among the MHD population is a serious public health concern; unfortunately, a majority of individuals experiencing difficulty receive no treatment. The US Public Health Service guidelines, as well as the National Cancer Institute, strongly recommend quitlines as an evidence-based treatment strategy to reduce barriers to cessation treatment, especially among smokers with MHDs; however, the literature is sparse on quitline engagement trends and associated outcomes for quitline participants with MHDs. This study sought to contribute to this gap with the largest sample to-date of MHD-endorsing tobacco quitline (Oklahoma Tobacco Helpline, OTH) participants. From 2015 to 2020, ~65,000 registrants (45-50% of total registered participants) with the OTH identified as having one or more MHDs in addition to their tobacco use. This study tested for the presence of significant differences between groups with and without MHDs (as well as within the MHD-identified group) on program enrollment selections, the intensity of engagement with chosen services, NRT utilization, and quit rates. It also tested for the existence of differences and moderating effects of demographic variables associated with the comparison groups. Statistically significant differences were found between these two groups with regard to: sex, age, racial identity, education level, annual income and insurance status. Significant differences were also found with tobacco use patterns reported by individuals (e.g., timing and daily use amounts). Differences in quitline program selection were demonstrated, such that the MHD-endorsing sample were more likely to participate and agree to the most robust service available. Significantly higher rates of service intensity (number of services engaged) were demonstrated, and MHD individuals were also significantly more likely to receive NRT as a part of their treatment. This study suggests a simplistic "more is better" quitline services approach may suffer in effectiveness because it neglects barriers common to this population. Important information is provided on these unique variables associated with MHD-endorsing individuals trying to quit their tobacco use. These results can help tobacco quitlines conceptualize the unique difficulties experienced by individuals with MHDs and then tailor their approach to respond supportively and constructively to this high need group.

Project description:IntroductionQuitlines are effective in helping smokers quit, but pediatrician quitline referral rates are low, and few parents who smoke use the service. This study compared enrollment of parents who smoke in the quitline using electronic referral with that using manual referral.Study designThe study was designed as a pragmatic RCT.Setting/participantsParticipants were recruited from one large, urban pediatric primary care site in Philadelphia, Pennsylvania with a high percentage of low-income families. Participants included adult parents who smoked and were present at their child's healthcare visit.InterventionPediatricians screened for tobacco use; smokers were given brief advice to quit and, if interested in quitting, were referred to the quitline. The eReferral ("warm handoff") involved electronically sending parent information to the quitline (parent received a call within 24-48 hours). Control group procedures were identical to eReferral, except the quitline number was provided to the parent. Data were collected between March 2017 and February 2018 and analyzed in 2018.Main outcome measuresThe primary outcome was the proportion of parents enrolled in quitline treatment. Secondary outcomes included parent factors (e.g., demographics, nicotine dependence, and quitting motivation) associated with successful enrollment. Number of quitline contacts was also explored.ResultsDuring the study period, in the eReferral group, 10.3% (24 of 233) of parents who smoked and were interested in quitting enrolled in the quitline, whereas only 2.0% (5 of 251) of them in the control group enrolled in the quitline-a difference of 8.3% (95% CI=4.0, 12.6). Parents aged ≥50 years enrolled in the quitline more frequently. Although more parents in the eReferral group connected to the quitline, among parents who had at least one quitline contact, there was no significant difference in the mean number of quitline contacts between eReferral and control groups (mean, 2.04 vs 2.40 calls; difference, 0.36 [95% CI=0.35, 1.06]).ConclusionsSmoking parent eReferral from pediatric primary care may increase quitline enrollment and could be adopted by practices interested in increasing rates of parent treatment.Trial registrationThis study is registered at www.clinicaltrials.gov NCT02997735.

Project description:OBJECTIVES:To coherently examine the responsiveness of the Swedish National Tobacco Quitline (SNTQ) to different types of anti-smoking policies over an extended period of calendar time. DESIGN:Quasi-experimental design with an intervention time-series analysis based on 19 years series of data collected between January 1999 and August 2017 (224 months). Statistical inference on calling rates and rate ratios was obtained using intervention time-series models (Poisson regression and transfer functions). PARTICIPANTS:A total of 179?851 phone calls to the SNTQ. INTERVENTIONS:Recent application of the 2014/40/ European Union (EU) Tobacco Products Directive in 2016. Historical interventions such as a campaign on passive smoking in January 2001; introduction of larger text warnings on cigarette packages since September 2002; banning smoking in restaurants since June 2005; and tobacco tax increase by 10% since January 2012. OUTCOME MEASURE:Calling rates to the SNTQ expressed per 100?000 smokers. SETTING:Sweden. RESULTS:The introduction of large pictorial warnings together with text warnings on cigarette packages (May 2016) was associated with a 35% increase in SNTQ calling rate (95% CI 1.16 to 1.57). The campaign on passive smoking (Jan 2001) was associated with a 61% higher calling rate (95% CI 1.06 to 2.45). Larger text warnings on cigarette packs (Sept 2002) conferred a 28% increment in the calling rate (95% CI 1.15 to 1.42); and prohibition to smoke in restaurants (Jun 2005) was associated with a 15% increase in the calling rate (95% CI 1.01 to 1.30). The 10% tobacco tax increase (Jan 2012) was associated with a 3% higher calling rate (95% CI 0.90 to 1.19). CONCLUSIONS:Within an overall decreasing trend of daily smoking in Sweden, we found that the recent introduction of pictorial warnings together with text warnings and referral text had a discernible positive impact on the calling rates to the smoking quitline. We were also able to detect a likely impact of earlier nationwide interventions.

Dataset Information

Enhancing tobacco quitline effectiveness: identifying a superior pharmacotherapy adjuvant.

Publications

Enhancing tobacco quitline effectiveness: identifying a superior pharmacotherapy adjuvant.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets