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Erath TG, Browning KO, Evemy C, Feinstein MJP, Wiley RC, Kemperer EM, DeSarno M, Higgins ST. A review of research on cigarette smoking in Preventive Medicine in recognition of the journal's 50th anniversary. Prev Med 2022; 164:107335. [PMID: 36334681 PMCID: PMC9742989 DOI: 10.1016/j.ypmed.2022.107335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/26/2022] [Accepted: 10/30/2022] [Indexed: 11/11/2022]
Abstract
This report reviews the literature on cigarette smoking published in Preventive Medicine over the past 50 years. The goal is twofold. First, to acknowledge the 50th anniversary of Preventive Medicine and its role in disseminating research on cigarette smoking by providing an abridged summary of smoking research published in the journal from inception through June 23, 2022. Second, to review experimental reports to identify contributions to innovations in tobacco control and regulatory efforts to reduce cigarette smoking. We searched PubMed using the search terms cigarette/cigarettes, tobacco products, smoking, smoking cessation, Preventive Medicine. Titles and abstracts were reviewed in duplicate, excluding reports not addressing cigarette smoking. Included reports were categorized by study type (original study, commentary, review). Experimental articles were assessed for impact using iCite, a National Institutes of Health web application that provides bibliometric information for articles in defined topic areas. The review identified 1181 articles on cigarette smoking: 1018 original studies (86.2%), 107 literature reviews (9.1%), and 56 commentaries (4.7%); 166 of the 1018 original studies (16%) were experimental reports. In the iCite analysis these 166 experimental articles received 6366 total citations, a mean (standard error) citation rate/article of 38.35 (±3.21) and mean relative citation ratio of 1.85 (±0.17) which is at the 73rd percentile for NIH-funded field- and time-normalized reports. Overall, this review demonstrates an ongoing and impactful contribution of Preventive Medicine to efforts to reduce cigarette smoking, the most preventable cause of premature death.
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Affiliation(s)
- Tyler G Erath
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Department of Psychiatry, University of Vermont, Burlington, VT, United States of America.
| | - Kaitlyn O Browning
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Department of Psychiatry, University of Vermont, Burlington, VT, United States of America
| | - Carolyn Evemy
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Department of Psychiatry, University of Vermont, Burlington, VT, United States of America; Department of Psychological Science, University of Vermont, Burlington, VT, United States of America
| | - Marc Jerome P Feinstein
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Department of Psychiatry, University of Vermont, Burlington, VT, United States of America; Department of Psychological Science, University of Vermont, Burlington, VT, United States of America
| | - Rhiannon C Wiley
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Department of Psychiatry, University of Vermont, Burlington, VT, United States of America; Department of Psychological Science, University of Vermont, Burlington, VT, United States of America
| | - Elias M Kemperer
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Department of Psychiatry, University of Vermont, Burlington, VT, United States of America; Department of Psychological Science, University of Vermont, Burlington, VT, United States of America
| | - Michael DeSarno
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Medical Biostatistics, University of Vermont, Burlington, VT, United States of America
| | - Stephen T Higgins
- Vermont Center on Behavior and Health, University of Vermont, Burlington, VT, United States of America; Department of Psychiatry, University of Vermont, Burlington, VT, United States of America; Department of Psychological Science, University of Vermont, Burlington, VT, United States of America
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Redding CA, Goldberg D, Weber KM, Yin HQ, Paiva AL, Burke-Miller J, Cohen MH, Rossi JS. Cross-validation of transtheoretical model smoking cessation measures in Chicago WIHS women smokers with and at risk for HIV. Transl Behav Med 2020; 10:457-468. [PMID: 30715533 PMCID: PMC7237546 DOI: 10.1093/tbm/ibz001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
People with and at risk for HIV have high rates of smoking, increasing their morbidity and mortality. Effective cessation interventions are needed for this group. Transtheoretical model (TTM)-tailored interventions have demonstrated efficacy, but measures need cross-validation in this population. TTM cessation measures were evaluated in women smokers with and at risk for HIV (N = 111) from Chicago Women's Interagency HIV Study (WIHS). Confirmatory factor analyses evaluated measurement models. MANOVAs examined relationships between constructs and stage subgroups. For decisional balance, the two-factor uncorrelated model was best (χ2(20) = 13.96; comparative fit index [CFI], 1.0; root mean square error of approximation [RMSEA] = .00), with good (pros α = .78) and fair (cons α = .55) four-item alphas. The one-factor temptations model (α = .90) showed reasonable fit (χ2(18) = 80.22; CFI = .89; RMSEA = .177). Processes of change subscales had fair to good two-item alphas (α = .49-.77) and fit a 10-factor fully correlated model (χ2(125) = 222.72; CFI = .88; RMSEA = .084). MANOVAs by stage of change replicated expected patterns for the pros, overall temptations, and two process subscales with medium-sized effects (η2 = .06-.18). Contrary to expectations, no differences by stage were found for cons or temptation negative affect subscales. The structures of these TTM measures replicated with good internal and external validity, except for the cons, which needs refinement. Negative affect temptations was structurally sound, but did not vary by stage group potentially reflecting this sample's moderate depression levels and/or their reliance on smoking to deal with negative affect. Results support the use of most TTM measures in research and tailored interventions to increase smoking cessation among women smokers with and at risk for HIV and highlight the importance of managing negative affect in cessation materials targeting this group.
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Affiliation(s)
- Colleen A Redding
- Cancer Prevention Research Center, Department of Psychology, College of Health Sciences, University of Rhode Island, Kingston, RI, USA
| | - David Goldberg
- Department of Medicine, Cook County Health and Hospital System and Rush University, Chicago, IL, USA
| | - Kathleen M Weber
- The CORE Center at Cook County Health and Hospital System, Chicago, IL, USA
| | - Hui-Qing Yin
- Cancer Prevention Research Center, Department of Psychology, College of Health Sciences, University of Rhode Island, Kingston, RI, USA
| | - Andrea L Paiva
- Cancer Prevention Research Center, Department of Psychology, College of Health Sciences, University of Rhode Island, Kingston, RI, USA
| | - Jane Burke-Miller
- The CORE Center at Cook County Health and Hospital System, Chicago, IL, USA
| | - Mardge H Cohen
- Department of Medicine, Cook County Health and Hospital System and Rush University, Chicago, IL, USA
- The CORE Center at Cook County Health and Hospital System, Chicago, IL, USA
| | - Joseph S Rossi
- Cancer Prevention Research Center, Department of Psychology, College of Health Sciences, University of Rhode Island, Kingston, RI, USA
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Wang GX, Narayan AK, Park ER, Lehman CD, Gorenstein JT, Flores EJ. Screening Mammography Visits as Opportunities to Engage Smokers With Tobacco Cessation Services and Lung Cancer Screening. J Am Coll Radiol 2020; 17:606-612. [DOI: 10.1016/j.jacr.2019.12.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 12/09/2019] [Accepted: 12/10/2019] [Indexed: 11/24/2022]
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Abstract
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.
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Affiliation(s)
| | - José M. Ordóñez‐Mena
- University of OxfordNuffield Department of Primary Care Health SciencesRadcliffe Observatory QuarterWoodstock RoadOxfordOxfordshireUKOX2 6GG
| | - Jamie Hartmann‐Boyce
- University of OxfordNuffield Department of Primary Care Health SciencesRadcliffe Observatory QuarterWoodstock RoadOxfordOxfordshireUKOX2 6GG
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Purani H, Friedrichsen S, Allen AM. Sleep quality in cigarette smokers: Associations with smoking-related outcomes and exercise. Addict Behav 2019; 90:71-76. [PMID: 30368021 DOI: 10.1016/j.addbeh.2018.10.023] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 09/10/2018] [Accepted: 10/16/2018] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Compared to the general population, cigarette smokers report poorer sleep quality. Poor sleep quality in cigarette smokers is associated with greater nicotine dependence. While exercise is known to improve sleep quality in the general population, less is known about how exercise effects sleep in those who smoke. The goal of this study was to explore the relationships between exercise, sleep, and smoking in cigarette smokers. METHODS Data on sleep quality (Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI)), smoking-related outcomes (e.g., cigarettes/day, Fagerstrom Test for Nicotine Dependence, Minnesota Nicotine and Withdrawal Scale, and Questionnaire of Smoking Urges) and exercise (Fitbit activity measures) were collected for 32 participants (63% female, mean age 30.3 ± 1.0 years) participating in a 12-week clinical research study. Analyses included simple linear regression models. RESULTS Overall, participants reported poor sleep quality at baseline (PSQI > 5). Poorer sleep quality at baseline was associated with increased withdrawal (β = 1.63 ± 0.53, p = 0.0043), craving (β = 0.51 ± 0.43, p = 0.2471), and total smoking urges (β = 1.10 ± 0.41, p = 0.0118). During follow-up (i.e., from baseline to week 12), a daily increase in exercise was associated with improved sleep quality over the same time period (PSQI: β = -0.82 ± 0.35, p = 0.0379). CONCLUSION Our data suggest that better sleep quality may be associated with lower levels of withdrawal, craving, and smoking urges. Further, exercise may be associated with better sleep quality in cigarette smokers. Future work should explore how increasing exercise and improving sleep quality could inform future smoking cessation interventions.
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Affiliation(s)
- Himal Purani
- Department of Family Medicine & Community Health, Medical School, University of Minnesota, 717 Delaware Street SE, Suite 454, Minneapolis, MN 55414, United States
| | - Samantha Friedrichsen
- Department of Family Medicine & Community Health, Medical School, University of Minnesota, 717 Delaware Street SE, Suite 454, Minneapolis, MN 55414, United States
| | - Alicia M Allen
- Department of Family & Community Medicine, College of Medicine, University of Arizona, 3950 South Country Club Drive, Suite 330, Tucson, AZ 85716, United States.
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Livingstone‐Banks J, Ordóñez‐Mena JM, Hartmann‐Boyce J. Print-based self-help interventions for smoking cessation. Cochrane Database Syst Rev 2019; 1:CD001118. [PMID: 30623970 PMCID: PMC7112723 DOI: 10.1002/14651858.cd001118.pub4] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
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.
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Do HP, Tran BX, Le Pham Q, Nguyen LH, Tran TT, Latkin CA, Dunne MP, Baker PR. Which eHealth interventions are most effective for smoking cessation? A systematic review. Patient Prefer Adherence 2018; 12:2065-2084. [PMID: 30349201 PMCID: PMC6188156 DOI: 10.2147/ppa.s169397] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
PURPOSE To synthesize evidence of the effects and potential effect modifiers of different electronic health (eHealth) interventions to help people quit smoking. METHODS Four databases (MEDLINE, PsycINFO, Embase, and The Cochrane Library) were searched in March 2017 using terms that included "smoking cessation", "eHealth/mHealth" and "electronic technology" to find relevant studies. Meta-analysis and meta-regression analyses were performed using Mantel-Haenszel test for fixed-effect risk ratio (RR) and restricted maximum-likelihood technique, respectively. Protocol Registration Number: CRD42017072560. RESULTS The review included 108 studies and 110,372 participants. Compared to nonactive control groups (eg, usual care), smoking cessation interventions using web-based and mobile health (mHealth) platform resulted in significantly greater smoking abstinence, RR 2.03 (95% CI 1.7-2.03), and RR 1.71 (95% CI 1.35-2.16), respectively. Similarly, smoking cessation trials using tailored text messages (RR 1.80, 95% CI 1.54-2.10) and web-based information and conjunctive nicotine replacement therapy (RR 1.29, 95% CI 1.17-1.43) may also increase cessation. In contrast, little or no benefit for smoking abstinence was found for computer-assisted interventions (RR 1.31, 95% CI 1.11-1.53). The magnitude of effect sizes from mHealth smoking cessation interventions was likely to be greater if the trial was conducted in the USA or Europe and when the intervention included individually tailored text messages. In contrast, high frequency of texts (daily) was less effective than weekly texts. CONCLUSIONS There was consistent evidence that web-based and mHealth smoking cessation interventions may increase abstinence moderately. Methodologic quality of trials and the intervention characteristics (tailored vs untailored) are critical effect modifiers among eHealth smoking cessation interventions, especially for web-based and text messaging trials. Future smoking cessation intervention should take advantages of web-based and mHealth engagement to improve prolonged abstinence.
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Affiliation(s)
- Huyen Phuc Do
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia,
- Institute for Global Health Innovations, Duy Tan University, Danang, Vietnam,
| | - Bach Xuan Tran
- Department of Health, Behaviours and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Quyen Le Pham
- Department of Internal Medicine, Hanoi Medical University, Hanoi, Vietnam
| | - Long Hoang Nguyen
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
- Center of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Tung Thanh Tran
- Institute for Global Health Innovations, Duy Tan University, Danang, Vietnam,
| | - Carl A Latkin
- Department of Health, Behaviours and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michael P Dunne
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia,
- Institute for Community Health Research, Hue University, Hue, Vietnam
| | - Philip Ra Baker
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia,
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Danan ER, Fu SS, Clothier BA, Noorbaloochi S, Hammett PJ, Widome R, Burgess DJ. The Equity Impact of Proactive Outreach to Smokers: Analysis of a Randomized Trial. Am J Prev Med 2018; 55:506-516. [PMID: 30139707 DOI: 10.1016/j.amepre.2018.05.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Revised: 03/14/2018] [Accepted: 05/16/2018] [Indexed: 10/28/2022]
Abstract
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.
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Affiliation(s)
- Elisheva R Danan
- Veterans Affairs Health Services Research & Development Center for Chronic Disease Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota; Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota.
| | - Steven S Fu
- Veterans Affairs Health Services Research & Development Center for Chronic Disease Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota; Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Barbara A Clothier
- Veterans Affairs Health Services Research & Development Center for Chronic Disease Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota
| | - Siamak Noorbaloochi
- Veterans Affairs Health Services Research & Development Center for Chronic Disease Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota; Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Patrick J Hammett
- Veterans Affairs Health Services Research & Development Center for Chronic Disease Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota; Division of Epidemiology, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Rachel Widome
- Division of Epidemiology, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Diana J Burgess
- Veterans Affairs Health Services Research & Development Center for Chronic Disease Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota; Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota
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Ramo DE, Thrul J, Delucchi KL, Hall S, Ling PM, Belohlavek A, Prochaska JJ. A randomized controlled evaluation of the tobacco status project, a Facebook intervention for young adults. Addiction 2018; 113:10.1111/add.14245. [PMID: 29797621 PMCID: PMC6761032 DOI: 10.1111/add.14245] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 10/16/2017] [Accepted: 04/06/2018] [Indexed: 12/31/2022]
Abstract
AIMS To test the efficacy of the Tobacco Status Project (TSP) Facebook smoking cessation intervention for young adults relative to referral to an on-line program on biochemically verified 7-day abstinence from smoking. DESIGN Two-group parallel randomized controlled trial, comparing TSP (n = 251) to on-line control (n = 249) with follow-up to 12 months. SETTING On-line, throughout the United States. PARTICIPANTS Young adult cigarette smokers (mean age 21 years; 73% white, 55% female, 87% daily smokers). INTERVENTIONS AND COMPARATOR TSP provided private Facebook groups tailored to stage of change to quit smoking, daily contacts, weekly live counseling sessions, and for those ready to quit, six cognitive behavioral therapy counseling sessions. Some TSP groups were assigned randomly to receive a monetary incentive for engagement. Control provided referral to the National Cancer Institute Smokefree.gov website. MEASUREMENTS PRIMARY OUTCOME: Biochemically verified 7-day abstinence over 12 months. SECONDARY OUTCOMES Post-treatment (3-month) abstinence; reported abstinence, quit attempt, reduction in smoking, readiness to quit smoking over 12 months. FINDINGS Verified 7-day abstinence was not significantly different for intervention compared with control over 1 year: month 3 (8.3 versus 3.2%), 6 (6.2 versus 6.0%), and 12 (5.9 versus 10.0%); odds ratio (OR) = 1.07; 95% confidence interval (CI) = 0.23, 4.97; retention = 71%. There was an effect at 3 months (OR = 2.52; CI = 1.56, 4.04; P < 0.0001). There were no 12-month treatment effects for reported abstinence (P = 0.746), reduction in smoking by 50% or more (P = 0.533), likelihood of having made a quit attempt (P = 0.387) or stage of change over time (0.968). Participants in TSP engaged more and rated the intervention more favorably than those in the control condition. CONCLUSIONS Compared with referral to a smoking cessation website, a novel USA-focused Facebook smoking cessation intervention did not improve abstinence from smoking over 1 year, but increased abstinence at the end of treatment and was engaging to participants.
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Affiliation(s)
- Danielle E Ramo
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
- Center for Tobacco Control Research and Education, University of California, San Francisco, CA, USA
| | - Johannes Thrul
- Center for Tobacco Control Research and Education, University of California, San Francisco, CA, USA
| | - Kevin L Delucchi
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Sharon Hall
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Pamela M Ling
- Center for Tobacco Control Research and Education, University of California, San Francisco, CA, USA
- Division of General Internal Medicine, University of California, San Francisco, CA, USA
| | - Alina Belohlavek
- Department of Psychiatry and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Judith J Prochaska
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, CA, USA
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High-intensity Interval Training and Continuous Aerobic Exercise Interventions to Promote Self-initiated Quit Attempts in Young Adults Who Smoke: Feasibility, Acceptability, and Lessons Learned From a Randomized Pilot Trial. J Addict Med 2018; 12:373-380. [PMID: 29762196 DOI: 10.1097/adm.0000000000000414] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVES While exercise significantly reduces craving for cigarettes, the effect of exercise on self-initiation of quit attempts is less known. Therefore, this randomized pilot study explored the effect of starting an exercise program on self-initiated quit attempts, and also the feasibility and acceptability of a novel exercise intervention, high-intensity interval training (HIIT), as compared with a more traditional continuous aerobic (CA) exercise intervention. METHODS Participants smoked (≥5 cigarettes/d), were aged 18 to 40 years, and wanted to increase their exercise. Participants were randomized into 1 of 3 groups: HIIT, CA, and delayed control. All participants attended follow-up visits at weeks 4, 8, and 12. Outcomes included measures of feasibility (eg, visit attendance) and acceptability (eg, satisfaction), and also changes in smoking behavior (eg, quit attempts during follow-up) and proxies to quit attempts (eg, positive affect). RESULTS Overall, there were no differences in terms of feasibility and acceptability between the HITT (n = 12) and CA (n = 9) groups. Based on both self-report and objective measurement, the exercise groups (HIIT and CA) increased their physical activity as compared with the delayed treatment group (n = 11). Compared with HIIT and delayed control, CA (n = 9) had significant favorable changes in positive affect (eg, at week 8, HIIT: +0.25 ± 2.21, delayed control: -5.11 ± 2.23, CA: +5.50 ± 2.23; P = 0.0153). CONCLUSIONS These observations suggest that HIIT is as feasible and acceptable as CA, though CA may have a more favorable effect on proxies to quit attempts (eg, positive affect). Fully powered studies are needed to examine the effect of HIIT versus CA on quit attempts.
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Taylor GMJ, Dalili MN, Semwal M, Civljak M, Sheikh A, Car J. Internet-based interventions for smoking cessation. Cochrane Database Syst Rev 2017; 9:CD007078. [PMID: 28869775 PMCID: PMC6703145 DOI: 10.1002/14651858.cd007078.pub5] [Citation(s) in RCA: 136] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Tobacco use is estimated to kill 7 million people a year. Nicotine is highly addictive, but surveys indicate that almost 70% of US and UK smokers would like to stop smoking. Although many smokers attempt to give up on their own, advice from a health professional increases the chances of quitting. As of 2016 there were 3.5 billion Internet users worldwide, making the Internet a potential platform to help people quit smoking. OBJECTIVES To determine the effectiveness of Internet-based interventions for smoking cessation, whether intervention effectiveness is altered by tailoring or interactive features, and if there is a difference in effectiveness between adolescents, young adults, and adults. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialised Register, which included searches of MEDLINE, Embase and PsycINFO (through OVID). There were no restrictions placed on language, publication status or publication date. The most recent search was conducted in August 2016. SELECTION CRITERIA We included randomised controlled trials (RCTs). Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention. To be included, studies must have measured smoking cessation at four weeks or longer. DATA COLLECTION AND ANALYSIS Two review authors independently assessed and extracted data. We extracted and, where appropriate, pooled smoking cessation outcomes of six-month follow-up or more, reporting short-term outcomes narratively where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI).We grouped studies according to whether they (1) compared an Internet intervention with a non-active control arm (e.g. printed self-help guides), (2) compared an Internet intervention with an active control arm (e.g. face-to-face counselling), (3) evaluated the addition of behavioural support to an Internet programme, or (4) compared one Internet intervention with another. Where appropriate we grouped studies by age. MAIN RESULTS We identified 67 RCTs, including data from over 110,000 participants. We pooled data from 35,969 participants.There were only four RCTs conducted in adolescence or young adults that were eligible for meta-analysis.Results for trials in adults: Eight trials compared a tailored and interactive Internet intervention to a non-active control. Pooled results demonstrated an effect in favour of the intervention (RR 1.15, 95% CI 1.01 to 1.30, n = 6786). However, statistical heterogeneity was high (I2 = 58%) and was unexplained, and the overall quality of evidence was low according to GRADE. Five trials compared an Internet intervention to an active control. The pooled effect estimate favoured the control group, but crossed the null (RR 0.92, 95% CI 0.78 to 1.09, n = 3806, I2 = 0%); GRADE quality rating was moderate. Five studies evaluated an Internet programme plus behavioural support compared to a non-active control (n = 2334). Pooled, these studies indicated a positive effect of the intervention (RR 1.69, 95% CI 1.30 to 2.18). Although statistical heterogeneity was substantial (I2 = 60%) and was unexplained, the GRADE rating was moderate. Four studies evaluated the Internet plus behavioural support compared to active control. None of the studies detected a difference between trial arms (RR 1.00, 95% CI 0.84 to 1.18, n = 2769, I2 = 0%); GRADE rating was moderate. Seven studies compared an interactive or tailored Internet intervention, or both, to an Internet intervention that was not tailored/interactive. Pooled results favoured the interactive or tailored programme, but the estimate crossed the null (RR 1.10, 95% CI 0.99 to 1.22, n = 14,623, I2 = 0%); GRADE rating was moderate. Three studies compared tailored with non-tailored Internet-based messages, compared to non-tailored messages. The tailored messages produced higher cessation rates compared to control, but the estimate was not precise (RR 1.17, 95% CI 0.97 to 1.41, n = 4040), and there was evidence of unexplained substantial statistical heterogeneity (I2 = 57%); GRADE rating was low.Results should be interpreted with caution as we judged some of the included studies to be at high risk of bias. AUTHORS' CONCLUSIONS The evidence from trials in adults suggests that interactive and tailored Internet-based interventions with or without additional behavioural support are moderately more effective than non-active controls at six months or longer, but there was no evidence that these interventions were better than other active smoking treatments. However some of the studies were at high risk of bias, and there was evidence of substantial statistical heterogeneity. Treatment effectiveness in younger people is unknown.
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Affiliation(s)
- Gemma M. J. Taylor
- University of BristolMRC Integrative Epidemiology Unit, UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology12a Priory RoadBristolUKBS8 1TU
| | | | - Monika Semwal
- Lee Kong Chian School of Medicine, Nanyang Technological UniversityCentre for Population Health Sciences (CePHaS)SingaporeSingapore
| | | | - Aziz Sheikh
- Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of EdinburghAllergy & Respiratory Research Group and Asthma UK Centre for Applied ResearchTeviot PlaceEdinburghUKEH8 9AG
| | - Josip Car
- Lee Kong Chian School of Medicine, Nanyang Technological UniversityCentre for Population Health Sciences (CePHaS)SingaporeSingapore
- University of LjubljanaDepartment of Family Medicine, Faculty of MedicineLjubljanaSlovenia
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Haskins BL, Davis-Martin R, Abar B, Baumann BM, Harralson T, Boudreaux ED. Health Evaluation and Referral Assistant: A Randomized Controlled Trial of a Web-Based Screening, Brief Intervention, and Referral to Treatment System to Reduce Risky Alcohol Use Among Emergency Department Patients. J Med Internet Res 2017; 19:e119. [PMID: 28461283 PMCID: PMC5432666 DOI: 10.2196/jmir.6812] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 02/02/2017] [Accepted: 02/06/2017] [Indexed: 11/17/2022] Open
Abstract
Background Computer technologies hold promise for implementing alcohol screening, brief intervention, and referral to treatment (SBIRT). Questions concerning the most effective and appropriate SBIRT model remain. Objective The aim of this study was to evaluate the impact of a computerized SBIRT system called the Health Evaluation and Referral Assistant (HERA) on risky alcohol use treatment initiation. Methods Alcohol users (N=319) presenting to an emergency department (ED) were considered for enrollment. Those enrolled (n=212) were randomly assigned to the HERA, to complete a patient-administered assessment using a tablet computer, or a minimal-treatment control, and were followed for 3 months. Analyses compared alcohol treatment provider contact, treatment initiation, treatment completion, and alcohol use across condition using univariate comparisons, generalized estimating equations (GEEs), and post hoc chi-square analyses. Results HERA participants (n=212; control=115; intervention=97) did not differ between conditions on initial contact with an alcohol treatment provider, treatment initiation, treatment completion, or change in risky alcohol use behavior. Subanalyses indicated that HERA participants, who accepted a faxed referral, were more likely to initiate contact with a treatment provider and initiate treatment for risky alcohol use, but were not more likely to continue engaging in treatment, or to complete treatment and change risky alcohol use behavior over the 3-month period following the ED visit. Conclusions The HERA promoted initial contact with an alcohol treatment provider and initiation of treatment for those who accepted the faxed referral, but it did not lead to reduced risky alcohol use behavior. Factors which may have limited the HERA’s impact include lack of support for the intervention by clinical staff, the low intensity of the brief and stand-alone design of the intervention, and barriers related to patient follow-through, (eg, a lack of transportation or childcare, fees for services, or schedule conflicts). Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN): NCT01153373; https://clinicaltrials.gov/ct2/show/NCT01153373 (Archived by WebCite at http://www.webcitation.org/6pHQEpuIF)
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Affiliation(s)
- Brianna L Haskins
- University of Massachusetts Medical School, Worcester, MA, United States
| | | | - Beau Abar
- University of Rochester Medical Center, Rochester, NY, United States
| | | | - Tina Harralson
- Polaris Health Directions, Inc, Wayne, PA, United States
| | - Edwin D Boudreaux
- University of Massachusetts Medical School, Worcester, MA, United States
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Brief intervention to promote smoking cessation and improve glycemic control in smokers with type 2 diabetes: a randomized controlled trial. Sci Rep 2017; 7:45902. [PMID: 28378764 PMCID: PMC5381102 DOI: 10.1038/srep45902] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 03/06/2017] [Indexed: 12/18/2022] Open
Abstract
The aim of the study was to examine the effects of a brief stage-matched smoking cessation intervention group compared with a control group (with usual care) in type 2 diabetes mellitus patients who smoked by randomized controlled trial. There were 557 patients, randomized either into the intervention group (n = 283) who received brief (20- minute) individualized face-to-face counseling by trained nurses and a diabetes mellitus-specific leaflet, or a control group (n = 274) who received standard care. Patient follow-ups were at 1 week, 1 month, 3 months, 6 months, and 12 months via telephone, and assessment of smoking status from 2012 to 2014. Patients smoked an average of 14 cigarettes per day for more than 37 years, and more than 70% were in the precontemplation stage of quitting. The primary outcome showed that both the intervention and control groups had similar 7-day point-prevalence smoking abstinence (9.2% vs. 13.9%; p = 0.08). The secondary outcome showed that HbA1c levels with 7.95% [63 mmol/mol] vs. 8.05% [64 mmol/mol], p = 0.49 at 12 months, respectively. There was no evidence for effectiveness in promoting the brief stage-matched smoking cessation or improving glycemic control in smokers with type 2 diabetes mellitus, particularly those in the pre-contemplation stage.
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Posadzki P, Mastellos N, Ryan R, Gunn LH, Felix LM, Pappas Y, Gagnon M, Julious SA, Xiang L, Oldenburg B, Car J. Automated telephone communication systems for preventive healthcare and management of long-term conditions. Cochrane Database Syst Rev 2016; 12:CD009921. [PMID: 27960229 PMCID: PMC6463821 DOI: 10.1002/14651858.cd009921.pub2] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
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.
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Affiliation(s)
- Pawel Posadzki
- Lee Kong Chian School of Medicine, Nanyang Technological UniversityCentre for Population Health Sciences (CePHaS)3 Fusionopolis Link, #06‐13Nexus@one‐northSingaporeSingapore138543
| | - Nikolaos Mastellos
- Imperial College LondonGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public HealthSt Dunstans RoadLondonHammersmithUKW6 8RP
| | - Rebecca Ryan
- La Trobe UniversityCentre for Health Communication and Participation, School of Psychology and Public HealthBundooraVICAustralia3086
| | - Laura H Gunn
- Stetson UniversityPublic Health Program421 N Woodland BlvdDeLandFloridaUSA32723
| | - Lambert M Felix
- Edge Hill UniversityFaculty of Health and Social CareSt Helens RoadOrmskirkLancashireUKL39 4QP
| | - Yannis Pappas
- University of BedfordshireInstitute for Health ResearchPark SquareLutonBedfordUKLU1 3JU
| | - Marie‐Pierre Gagnon
- Traumatologie – Urgence – Soins IntensifsCentre de recherche du CHU de Québec, Axe Santé des populations ‐ Pratiques optimales en santé10 Rue de l'Espinay, D6‐727QuébecQCCanadaG1L 3L5
| | - Steven A Julious
- University of SheffieldMedical Statistics Group, School of Health and Related ResearchRegent Court, 30 Regent StreetSheffieldUKS1 4DA
| | - Liming Xiang
- Nanyang Technological UniversityDivision of Mathematical Sciences, School of Physical and Mathematical Sciences21 Nanyang LinkSingaporeSingapore
| | - Brian Oldenburg
- University of MelbourneMelbourne School of Population and Global HealthMelbourneVictoriaAustralia
| | - Josip Car
- Lee Kong Chian School of Medicine, Nanyang Technological UniversityCentre for Population Health Sciences (CePHaS)3 Fusionopolis Link, #06‐13Nexus@one‐northSingaporeSingapore138543
- Imperial College LondonGlobal eHealth Unit, Department of Primary Care and Public Health, School of Public HealthSt Dunstans RoadLondonHammersmithUKW6 8RP
- University of LjubljanaDepartment of Family Medicine, Faculty of MedicineLjubljanaSlovenia
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Smit ES, Candel MJJM, Hoving C, de Vries H. 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. HEALTH COMMUNICATION 2016; 31:1165-1173. [PMID: 26934538 DOI: 10.1080/10410236.2015.1049727] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
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.
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Affiliation(s)
- E S Smit
- a Department of Communication Science, Amsterdam School of Communication Research/ASCoR , University of Amsterdam
- b CAPHRI/Department of Health Promotion , Maastricht University
| | - M J J M Candel
- c CAPHRI/Department of Methodology and Statistics , Maastricht University
| | - C Hoving
- b CAPHRI/Department of Health Promotion , Maastricht University
| | - H de Vries
- b CAPHRI/Department of Health Promotion , Maastricht University
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Spencer L, Pagell F, Hallion ME, Adams TB. Applying the Transtheoretical Model to Tobacco Cessation and Prevention: A Review of Literature. Am J Health Promot 2016; 17:7-71. [PMID: 12271754 DOI: 10.4278/0890-1171-17.1.7] [Citation(s) in RCA: 111] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Objective. To comprehensively review all published, peer-reviewed research on the Transtheoretical Model (TTM) and tobacco cessation and prevention by exploring the validity of its constructs, the evidence for use of interventions based on the TTM, the description of populations using TTM constructs, and the identification of areas for further research. The three research questions answered were: “How is the validity of the TTM as applied to tobacco supported by research?” “How does the TTM describe special populations regarding tobacco use?” “What is the nature of evidence supporting the use of stage-matched tobacco interventions?” Data Source. Computer Database search (PsychInfo, Medline, Current Contents, ERIC, CINAHL-Allied Health, and Pro-Quest Nursing) and manual journal search. Inclusion/Exclusion Criteria. All English, original, research articles on the TTM as it relates to tobacco use published in peer-reviewed journals prior to March 1, 2001, were included. Commentaries, editorials, and books were not included. Data Extraction and Synthesis. Articles were categorized as TTM construct validation, population descriptions using TTM constructs, or intervention evaluation using TTM constructs. Summary tables including study design, research rating, purpose, methods, findings, and implications were created. Articles were further divided into groups according to their purpose. Considering both the findings and research quality of each, the three research questions were addressed. Results. The 148 articles reviewed included 54 validation studies, 73 population studies, and 37 interventions (some articles fit two categories). Overall, the evidence in support of the TTM as applied to tobacco use was strong, with supportive studies being more numerous and of a better design than nonsupportive studies. Using established criteria, we rated the construct validity of the entire body of literature as good; however, notable concerns exist about the staging construct. A majority of stage-matched intervention studies provided positive results and were of a better quality than those not supportive of stage-matched interventions; thus, we rated the body of literature using stage-matched tobacco interventions as acceptable and the body of literature using non–stage-matched interventions as suggestive. Population studies indicated that TTM constructs are applicable to a wide variety of general and special populations both in and outside of the United States, although a few exceptions exist. Conclusions. Evidence for the validity of the TTM as it applies to tobacco use is strong and growing; however, it is not conclusive. Eight different staging mechanisms were identified, raising the question of which are most valid and reliable. Interventions tailored to a smoker's stage were successful more often than nontailored interventions in promoting forward stage movement. Stage distribution is well-documented for U.S. populations; however, more research is needed for non-U.S. populations, for special populations, and on other TTM constructs.
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Affiliation(s)
- Leslie Spencer
- Department of Health and Exercise Science, Rowan University, 201 Mullica Hill Road, Glassboro, NJ 08028, USA.
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Abstract
Addictive behaviors are major causes of chronic disease, premature death, and high health care costs. Such behaviors have not been treated seriously by health care systems, and this is a major reason why such systems face an unhealthy future. Treating addictions seriously requires complementing a traditional individual-patient paradigm with a population paradigm, an action paradigm with a stage paradigm, clinic practices with home-based practices, a clinician paradigm with a computer paradigm, and programs that focus on changing single behaviors with programs that focus on changing multiple behaviors.
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Hickman NJ, Delucchi KL, Prochaska JJ. Treating Tobacco Dependence at the Intersection of Diversity, Poverty, and Mental Illness: A Randomized Feasibility and Replication Trial. Nicotine Tob Res 2016; 17:1012-21. [PMID: 26180227 DOI: 10.1093/ntr/ntv034] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
INTRODUCTION In an ethnically-diverse, uninsured psychiatric sample with co-occurring drug/alcohol addiction, we evaluated the feasibility and reproducibility of a tobacco treatment intervention. The intervention previously demonstrated efficacy in insured psychiatric and nonpsychiatric samples with 20.0%-25.0% abstinence at 18 months. METHODS Daily smokers, recruited in 2009-2010 from psychiatric units at an urban public hospital, were randomized to usual care (on-unit nicotine replacement plus quit advice) or intervention, which added a Transtheoretical-model tailored, computer-assisted intervention, stage-matched manual, brief counseling, and 10-week post-hospitalization nicotine replacement. RESULTS The sample (N = 100, 69% recruitment rate, age M = 40) was 56% racial/ethnic minority, 65% male, 79% unemployed, and 48% unstably housed, diagnosed with unipolar (54%) and bipolar (14%) depression and psychotic disorders (46%); 77% reported past-month illicit drug use. Prior to hospitalization, participants averaged 19 (SD = 11) cigarettes/day for 23 (SD = 13) years; 80% smoked within 30 minutes of awakening; 25% were preparing to quit. Encouraging and comparable to effects in the general population, 7-day point prevalence abstinence for intervention versus control was 12.5% versus 7.3% at 3 months, 17.5% versus 8.5% at 6 months, and 26.2% versus 16.7% at 12 months. Retention exceeded 80% over 12 months. The odds of abstinence increased over time, predicted by higher self-efficacy, greater perceived social status, and diagnosis of psychotic disorder compared to unipolar depression. CONCLUSIONS Findings indicate uninsured smokers with serious mental illness can engage in tobacco treatment research with quit rates comparable to the general population. A larger investigation is warranted. Inclusion of diverse smokers with mental illness in clinical trials is supported and encouraged.
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Affiliation(s)
- Norval J Hickman
- Tobacco-Related Disease Research Program, University of California, Office of the President, Oakland, CA;
| | - Kevin L Delucchi
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA
| | - Judith J Prochaska
- Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, CA
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Boudreaux ED, Abar B, Haskins B, Bauman B, Grissom G. Health evaluation and referral assistant: a randomized controlled trial to improve smoking cessation among emergency department patients. Addict Sci Clin Pract 2015; 10:24. [PMID: 26542471 PMCID: PMC4672559 DOI: 10.1186/s13722-015-0045-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Accepted: 10/21/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Computer technologies hold promise for implementing tobacco screening, brief intervention, and referral to treatment (SBIRT). This study aims to evaluate a computerized tobacco SBIRT system called the Health Evaluation and Referral Assistant (HERA). METHODS Smokers (n = 421) presenting to an emergency department were randomly assigned to the HERA or a minimal-treatment Control and were followed for 3 months. Analyses compared smoking cessation treatment provider contact, treatment initiation, treatment completion, and smoking behavior across condition using univariable comparisons, generalized estimating equations (GEE), and post hoc Chi square analyses. RESULTS HERA participants were more likely to initiate contact with a treatment provider but did not differ on treatment initiation, quit attempts, or sustained abstinence. Subanalyses revealed HERA participants who accepted a faxed referral were more likely to initiate treatment but were not more likely to stop smoking. CONCLUSIONS The HERA promoted initial contact with a smoking cessation provider and the faxed referral further promoted treatment initiation, but it did not lead to improved abstinence. TRIAL REGISTRATION ClinicalTrials.gov number NCT01153373.
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Affiliation(s)
- Edwin D Boudreaux
- Departments of Emergency Medicine, Psychiatry, and Quantitative Health Sciences, University of Massachusetts Medical School, LA-189, 55 Lake Avenue North, Worcester, MA, 01655, USA.
| | - Beau Abar
- Departments of Emergency Medicine, Psychiatry, and Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
| | - Brianna Haskins
- Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
| | - Brigitte Bauman
- Department of Emergency Medicine, Cooper Medical School of Rowan University, Camden, NJ, USA.
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Ramo DE, Thrul J, Delucchi KL, Ling PM, Hall SM, Prochaska JJ. The Tobacco Status Project (TSP): Study protocol for a randomized controlled trial of a Facebook smoking cessation intervention for young adults. BMC Public Health 2015; 15:897. [PMID: 26374203 PMCID: PMC4572690 DOI: 10.1186/s12889-015-2217-0] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 09/02/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Tobacco use remains the leading cause of premature morbidity and mortality in the United States. Young adults are less successful at quitting, use cessation treatment less often than smokers of other ages, and can be a challenge to retain in treatment. Social media, integrated into the lives of many young adults, represents a promising strategy to deliver evidence-based smoking cessation treatment to a large, diverse audience. The goal of this trial is to test the efficacy of a stage-based smoking cessation intervention on Facebook for young adults age 18 to 25 on smoking abstinence, reduction in cigarettes smoked, and thoughts about smoking abstinence. METHODS/DESIGN This is a randomized controlled trial. Young adult smokers throughout the United States are recruited online and randomized to either the 3 month Tobacco Status Project intervention on Facebook or a referral to a smoking cessation website. The intervention consists of assignment to a secret Facebook group tailored to readiness to quit smoking (precontemplation, contemplation, preparation), daily Facebook contacts tailored to readiness to quit smoking, weekly live counseling sessions, and for those in preparation, weekly Cognitive Behavioral Therapy counseling sessions on Facebook. Primary outcome measure is biochemically-verified 7-day point prevalence abstinence from smoking at posttreatment (3 months), 6, and 12 months. Secondary outcome measures are reduction of 50 % or more in cigarettes smoked, 24 h quit attempts, and commitment to abstinence at each time point. A secondary aim is to test, within the TSP condition, the effect of a monetary incentive at increasing engagement in the intervention. DISCUSSION This randomized controlled trial is testing a novel Facebook intervention for treating young adults' tobacco use. If efficacious, the social media intervention could be disseminated widely and expanded to address additional health risks. TRIAL REGISTRATION ClinicalTrials.gov: NCT02207036 , May 13, 2014.
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Affiliation(s)
- Danielle E Ramo
- Department of Psychiatry, University of California, 401 Parnassus Avenue, Box TRC 0984, San Francisco, CA, 94143, USA. .,Center for Tobacco Control Research and Education, University of California, 530 Parnassus Avenue, San Francisco, CA, 94143, USA.
| | - Johannes Thrul
- Center for Tobacco Control Research and Education, University of California, 530 Parnassus Avenue, San Francisco, CA, 94143, USA.
| | - Kevin L Delucchi
- Department of Psychiatry, University of California, 401 Parnassus Avenue, Box TRC 0984, San Francisco, CA, 94143, USA.
| | - Pamela M Ling
- Center for Tobacco Control Research and Education, University of California, 530 Parnassus Avenue, San Francisco, CA, 94143, USA. .,Division of General Internal Medicine, University of California, 1545 Divisadero Street, San Francisco, CA, 94143, USA.
| | - Sharon M Hall
- Department of Psychiatry, University of California, 401 Parnassus Avenue, Box TRC 0984, San Francisco, CA, 94143, USA.
| | - Judith J Prochaska
- Department of Medicine, Stanford Prevention Research Center, Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA.
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Hoeppner BB, Hoeppner SS, Seaboyer L, Schick MR, Wu GWY, Bergman BG, Kelly JF. How Smart are Smartphone Apps for Smoking Cessation? A Content Analysis. Nicotine Tob Res 2015; 18:1025-31. [PMID: 26045249 DOI: 10.1093/ntr/ntv117] [Citation(s) in RCA: 113] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 05/23/2015] [Indexed: 11/12/2022]
Abstract
INTRODUCTION Smartphone technology is ideally suited to provide tailored smoking cessation support, yet it is unclear to what extent currently existing smartphone "apps" use tailoring, and if tailoring is related to app popularity and user-rated quality. METHODS We conducted a content analysis of Android smoking cessation apps (n = 225), downloaded between October 1, 2013 to May 31, 2014. We recorded app popularity (>10,000 downloads) and user-rated quality (number of stars) from Google Play, and coded the existence of tailoring features in the apps within the context of using the 5As ("ask," "advise," "assess," "assist," and "arrange follow-up"), as recommended by national clinical practice guidelines. RESULTS Apps largely provided simplistic tools (eg, calculators, trackers), and used tailoring sparingly: on average, apps addressed 2.1 ± 0.9 of the 5As and used tailoring for 0.7 ± 0.9 of the 5As. Tailoring was positively related to app popularity and user-rated quality: apps that used two-way interactions (odds ratio [OR] = 5.56 [2.45-12.62]), proactive alerts (OR = 3.80 [1.54-9.38]), responsiveness to quit status (OR = 5.28 [2.18-12.79]), addressed more of the 5As (OR = 1.53 [1.10-2.14]), used tailoring for more As (OR = 1.67 [1.21-2.30]), and/or used more ways of tailoring 5As content (OR = 1.35 [1.13-1.62]) were more likely to be frequently downloaded. Higher star ratings were associated with a higher number of 5As addressed (b = 0.16 [0.03-0.30]), a higher number of 5As with any level of tailoring (b = 0.14 [0.01-0.27]), and a higher number of ways of tailoring 5As content (b = 0.08 [0.002-0.15]). CONCLUSIONS Publically available smartphone smoking cessation apps are not particularly "smart": they commonly fall short of providing tailored feedback, despite users' preference for these features.
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Affiliation(s)
- Bettina B Hoeppner
- Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA;
| | - Susanne S Hoeppner
- Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA
| | - Lourah Seaboyer
- Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA; Department of Psychology, Suffolk University, Boston, MA
| | - Melissa R Schick
- Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA
| | - Gwyneth W Y Wu
- Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA; School of Education, Johns Hopkins University, Baltimore, MD
| | - Brandon G Bergman
- Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA
| | - John F Kelly
- Center for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA
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Abstract
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.
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Affiliation(s)
- Jamie Hartmann-Boyce
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, UK, OX2 6GG
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Abstract
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.
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Affiliation(s)
- Lindsay F Stead
- Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, UK, OX2 6GG
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Abstract
BACKGROUND The Internet is now an indispensable part of daily life for the majority of people in many parts of the world. It offers an additional means of effecting changes to behaviour such as smoking. OBJECTIVES To determine the effectiveness of Internet-based interventions for smoking cessation. SEARCH METHODS We searched the Cochrane Tobacco Addiction Group Specialized Register. There were no restrictions placed on language of publication or publication date. The most recent search was conducted in April 2013. SELECTION CRITERIA We included randomized and quasi-randomized trials. Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention. DATA COLLECTION AND ANALYSIS Two authors independently assessed and extracted data. Methodological and study quality details were extracted using a standardized form. We extracted smoking cessation outcomes of six months follow-up or more, reporting short-term outcomes where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI). Clinical and statistical heterogeneity limited our ability to pool studies. MAIN RESULTS This updated review includes a total of 28 studies with over 45,000 participants. Some Internet programmes were intensive and included multiple outreach contacts with participants, whilst others relied on participants to initiate and maintain use.Fifteen trials compared an Internet intervention to a non-Internet-based smoking cessation intervention or to a no-intervention control. Ten of these recruited adults, one recruited young adult university students and two recruited adolescents. Seven of the trials in adults had follow-up at six months or longer and compared an Internet intervention to usual care or printed self help. In a post hoc subgroup analysis, pooled results from three trials that compared interactive and individually tailored interventions to usual care or written self help detected a statistically significant effect in favour of the intervention (RR 1.48, 95% CI 1.11 to 2.78). However all three trials were judged to be at high risk of bias in one domain and high statistical heterogeneity was detected (I² = 53%), with no obvious clinical explanation. Pooled results from two studies of an interactive, tailored intervention involving the Internet and automated phone contacts also detected a significant effect (RR 2.05, 95% CI 1.42 to 2.97, I² = 42%). Results from a sixth study comparing an interactive but non-tailored intervention to control did not detect a significant effect, nor did the seventh study, which compared a non-interactive, non-tailored intervention to control. Three trials comparing Internet interventions to face-to-face or phone counselling also did not detect evidence of an effect, nor did two trials evaluating Internet interventions as adjuncts to other behavioural interventions. A trial in college students increased point prevalence abstinence after 30 weeks but had no effect on sustained abstinence. Two small trials in adolescents did not detect an effect on cessation compared to control.Fourteen trials, all in adult populations, compared different Internet sites or programmes. Pooled estimates from three trials that compared tailored and/or interactive Internet programmes with non-tailored, non-interactive Internet programmes did not detect evidence of an effect (RR 1.12, 95% CI 0.95 to 1.32, I² = 0%). One trial detected evidence of a benefit from a tailored email compared to a non-tailored one, whereas a second trial comparing tailored messages to a non-tailored message did not detect evidence of an effect. Trials failed to detect a benefit of including a mood management component (three trials), or an asynchronous bulletin board. AUTHORS' CONCLUSIONS Results suggest that some Internet-based interventions can assist smoking cessation at six months or longer, particularly those which are interactive and tailored to individuals. However, the trials that compared Internet interventions with usual care or self help did not show consistent effects and were at risk of bias. Further research is needed despite 28 studies on the subject. Future studies should carefully consider optimising the interventions which promise most effect such as tailoring and interactivity.
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Affiliation(s)
- Marta Civljak
- Dept of Medical Sociology and Health Economics, Medical School University of Zagreb, Zagreb, Croatia
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Yasin SM, Retneswari M, Moy FM, Taib KM, Isahak M, Koh D. Testing the transtheoretical model in predicting smoking relapse among Malaysian adult smokers receiving assistance in quitting. Asian Pac J Cancer Prev 2013; 14:2317-23. [PMID: 23725134 DOI: 10.7314/apjcp.2013.14.4.2317] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
The role of The Transtheoretical Model (TTM) in predicting relapse is limited. We aimed to assess whether this model can be utilised to predict relapse during the action stage. The participants included 120 smokers who had abstained from smoking for at least 24 hours following two Malaysian universities' smoking cessation programme. The smokers who relapsed perceived significantly greater advantages related to smoking and increasing doubt in their ability to quit. In contrast, former smokers with greater self-liberation and determination to abstain were less likely to relapse. The findings suggest that TTM can be used to predict relapse among quitting smokers.
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Affiliation(s)
- Siti Munira Yasin
- Population Health and Preventive Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Malaysia.
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Boudreaux ED, Abar B, Baumann BM, Grissom G. A randomized clinical trial of the health evaluation and referral assistant (HERA): research methods. Contemp Clin Trials 2013; 35:87-96. [PMID: 23665335 DOI: 10.1016/j.cct.2013.04.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2013] [Revised: 04/26/2013] [Accepted: 04/29/2013] [Indexed: 10/26/2022]
Abstract
The Health Evaluation and Referral Assistant (HERA) is a web-based program designed to facilitate screening, brief intervention, and referral to treatment (SBIRT) for tobacco, alcohol, and drug abuse. After the patient completes a computerized substance abuse assessment, the HERA produces a summary report with evidence-based recommended clinical actions for the healthcare provider (the Healthcare Provider Report) and a report for the patient (the Patient Feedback Report) that provides education regarding the consequences of use, personally tailored motivational messages, and a tailored substance abuse treatment referral list. For those who provide authorization, the HERA faxes the individual's contact information to a substance abuse treatment provider matched to the individual's substance use severity and personal characteristics, like insurance and location of residence (dynamic referral). This paper summarizes the methods used for a randomized controlled trial to evaluate the HERA's efficacy in leading to increased treatment initiation and reduced substance use. The study was performed in four emergency departments. Individual patients were randomized into one of two conditions: the HERA or assessment only. A total of 4269 patients were screened and 1006 participants enrolled. The sample was comprised of 427 tobacco users, 212 risky alcohol users, and 367 illicit drug users. Forty-two percent used more than one substance class. The enrolled sample was similar to the eligible patient population. The study should enhance understanding of whether computer-facilitated SBIRT can impact process of care variables, such as promoting substance abuse treatment initiation, as well as its effect on subsequent substance abuse and related outcomes.
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Affiliation(s)
- Edwin D Boudreaux
- The Department of Emergency Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
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Velicer WF, Brick LAD, Fava JL, Prochaska JO. Testing 40 Predictions From the Transtheoretical Model Again, With Confidence. MULTIVARIATE BEHAVIORAL RESEARCH 2013; 48:220-240. [PMID: 26741726 DOI: 10.1080/00273171.2012.760439] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Testing Theory-based Quantitative Predictions (TTQP) represents an alternative to traditional Null Hypothesis Significance Testing (NHST) procedures and is more appropriate for theory testing. The theory generates explicit effect size predictions and these effect size estimates, with related confidence intervals, are used to test the predictions. The focus of a study is shifted to a quantitative approach in contrast to the NHST dyadic decision centered on testing a prediction not based on the theory. This article describes the TTQP as an alternative approach by replicating and extending a test of 40 a priori predictions based on the Transtheoretical Model (TTM). Specific quantitative predictions were made about the magnitude of the effect size (ω(2)). The predictions involved movement from 1 of 3 initial stages (Precontemplation, Contemplation, and Preparation) to stage membership 12 months later. In the initial study, 36 of the 40 predictions were confirmed. The same 40 predictions are evaluated on a sample (N = 3,923) of smokers recruited from a large New England HMO for a smoking cessation study. The predictions were recalibrated based on the first study and 99% confidence intervals were employed to test the predictions. Thirty-two of the 40 predictions were confirmed. Of the 8 failures, 4 were judged to reflect a need for further recalibration, 1 was attributed to sampling fluctuation, and 3 suggested revisions of the theory are needed. The results provide overall support for the TTM. The study also illustrates some of the challenges of testing quantitative predictions.
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Affiliation(s)
- Wayne F Velicer
- a Cancer Prevention Research Center, University of Rhode Island
| | | | - Joseph L Fava
- a Cancer Prevention Research Center, University of Rhode Island
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Santiago-Rivas M, Velicer WF, Redding CA, Prochaska JO, Paiva AL. Outcomes of cluster profiles within stages of change for sun protection behavior. PSYCHOL HEALTH MED 2013; 18:471-81. [PMID: 23347424 DOI: 10.1080/13548506.2012.748206] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
OBJECTIVE Predictive and external validity was studied among cluster profiles for sun protection behavior within stages from Transtheoretical Model of behavior change using follow-up data. METHODS Data from participants in a home-based expert system were analyzed. Longitudinal patterns of clusters on the precontemplation, contemplation, and preparation stages of change were assessed. Differences between clusters on membership in action/maintenance stages and scores on the Sun Protection Behavior Scale (SPBS) were measured at 12 and 24 months after intervention. RESULTS Differences between clusters on stage progression and on scores from the SPBS were found at 12 and 24 months after intervention at all stages. DISCUSSION Predictive and external validity of sun protection subtypes was established using sun protection variables after a stage-matched intervention. Results provide information to improve interventions for sun protection.
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Affiliation(s)
- Marimer Santiago-Rivas
- Cancer Prevention Research Center, University of Rhode Island, Kingston 02881-0808, USA.
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Evers KE, Paiva AL, Johnson JL, Cummins CO, Prochaska JO, Prochaska JM, Padula J, Gökbayrak NS. Results of a transtheoretical model-based alcohol, tobacco and other drug intervention in middle schools. Addict Behav 2012; 37:1009-18. [PMID: 22591949 DOI: 10.1016/j.addbeh.2012.04.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2011] [Revised: 04/09/2012] [Accepted: 04/20/2012] [Indexed: 11/24/2022]
Abstract
BACKGROUND Early use of alcohol, tobacco, and other drugs threatens the physical and mental well-being of students and continued use negatively affects many areas of development. An internet-based, tailored intervention based on the Transtheoretical Model of Behavior Change was delivered to middle school students to reduce alcohol, tobacco, and other drug use. This internet-based approach requires very little faculty and staff time, which is efficient given curricular demands. METHODS Twenty-two middle schools in the United States were matched and randomly assigned to either the intervention or control conditions (N=1590 students who had ever used substances). Participants received one pre-test assessment, three thirty-minute intervention sessions over three months, and two post-test assessments (3 and 14 months after pre-test, respectively). RESULTS Random effects logistic models showed significant treatment effects for the intervention group when compared to the control group at the 3-month post-test. CONCLUSIONS This program has the potential to be applied as stand-alone practice or as part of more intensive interventions to promote substance use cessation.
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McClure JB, Derry H, Riggs KR, Westbrook EW, St John J, Shortreed SM, Bogart A, An LC. Questions about quitting (Q2): design and methods of a Multiphase Optimization Strategy (MOST) randomized screening experiment for an online, motivational smoking cessation intervention. Contemp Clin Trials 2012; 33:1094-102. [PMID: 22771577 DOI: 10.1016/j.cct.2012.06.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2012] [Revised: 06/25/2012] [Accepted: 06/26/2012] [Indexed: 10/28/2022]
Abstract
Effective interventions are needed to improve smokers' motivation for quitting, treatment utilization, and abstinence rates. The Internet provides an ideal modality for delivering such interventions, given the low cost, broad reach, and capacity to individually tailor content, but important methodological questions remain about how to best design and deliver an online, motivational intervention to smokers. The current paper reports on the intervention, study design and research methods of a randomized trial (called Questions about Quitting) designed to address some of these questions. Using a Multi-phase Optimization Strategy (MOST) screening experiment, the trial has two key aims: to examine the impact of four experimental intervention factors (each evaluated on two levels) on smokers' subsequent treatment utilization and abstinence, and to examine select moderators of each sub-factor's effectiveness. The experimental factors of interest are: navigation autonomy (content viewing order is dictated based on stage of change or not), use of self-efficacy based testimonials (yes vs. no), proactive outreach (reminder emails vs. no emails), and decisional framework (prescriptive vs. motivational tone). To our knowledge, this is the first application of the MOST methodology to explore these factors or to explore the optimal design for a motivational intervention targeting smokers not actively trying to quit smoking. The rationale for the experimental factor choice, intervention design, and trial methods are discussed. Outcome data are currently being collected and are not presented, but recruitment data confirm the feasibility of enrolling smokers at varying stages of readiness to quit.
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Affiliation(s)
- J B McClure
- Group Health Research Institute, Seattle, WA 98101, USA.
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Asfar T, Ebbert JO, Klesges RC, Klosky JL. Use of smoking reduction strategies among U.S. tobacco quitlines. Addict Behav 2012; 37:583-6. [PMID: 22301531 DOI: 10.1016/j.addbeh.2012.01.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2011] [Revised: 10/20/2011] [Accepted: 01/17/2012] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Tobacco quitlines (QLs) are efficacious and have assisted many smokers in achieving tobacco abstinence. However, most smokers are not able to achieve tobacco abstinence with QL services. QL counseling interventions for smokers who do not quit on their target quit date (TQD) and decline to set a new TQD after missing their TQD have not been systematically evaluated. METHODS A telephone survey of tobacco QLs in the United States (US) was conducted to examine systematic approaches used with smokers who do not quit on their TQD and decline to set a new TQD. Tobacco QLs service providers were identified through the North American Quitline Consortium (NAQC). RESULTS Fourteen service providers managing QLs of all 50 US states were identified and completed the voluntary survey. All providers recommended setting a new quit TQD if smokers did not achieve smoking cessation by their initial TQD. Six percent of US state QLs used brief motivational interviewing utilizing the "5R's" (relevance, risk, rewards, roadblocks, repetition). However, 90% of QLs had intervention protocols emphasizing smoking rate reduction. CONCLUSION Although some US QLs utilized the "5Rs," the majority provided smoking reduction interventions for smokers not achieving tobacco cessation by their initial TQD and declining to set a new TQD. Research is needed to evaluate the efficacy of smoking rate reduction methods implemented through QLs for increasing smoking abstinence rates.
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Affiliation(s)
- Taghrid Asfar
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Mail Stop 735, Memphis, TN 38105, USA
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Cluster subtypes appropriate for preventing postpartum smoking relapse. Addict Behav 2012; 37:280-6. [PMID: 22136873 DOI: 10.1016/j.addbeh.2011.11.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2011] [Revised: 08/15/2011] [Accepted: 11/01/2011] [Indexed: 11/20/2022]
Abstract
OBJECTIVE While the majority of women quit smoking either before or during pregnancy, 60 to 80% relapse in the postpartum period. The objective of this research was to examine postpartum women who quit smoking during their pregnancies and to determine the predictive factors for relapse in the postpartum period by identifying different subgroups that predict risk of relapse. METHOD One hundred forty four postpartum women who were abstinent at the time of delivery were recruited. Data regarding the Acquisition Stage of Change, Decisional Balance and Situational Temptations to Smoke were assessed in the immediate postpartum period. Based on their intention to remain abstinent, 121 women identified in the acquisition-Precontemplation (aPC) group comprised the study sample. Smoking status was assessed again at 2 months postpartum. RESULTS A cluster analysis was performed to identify subgroups of the acquisition-Precontemplation (aPC) group. Four subgroups were identified and were labeled Most Protected, Ambivalent, Risk Denial, and High Risk. Logistic regression was performed to establish external validity of the clusters. The clusters and exclusive breastfeeding were the only statistically significant variables associated with relapse at 2 months postpartum. CONCLUSIONS The results confirmed the clusters identified in previous prevention research with both adolescents and postpartum women, The cluster profiles can serve to guide the development of a tailored intervention program.
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Prochaska JO, Evers KE, Castle PH, Johnson JL, Prochaska JM, Rula EY, Coberley C, Pope JE. Enhancing multiple domains of well-being by decreasing multiple health risk behaviors: a randomized clinical trial. Popul Health Manag 2012; 15:276-86. [PMID: 22352379 DOI: 10.1089/pop.2011.0060] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Tailored behavior change programs have proven effective at decreasing health risk factors, but the impact of such programs on participant well-being has not been tested. This randomized trial evaluated the impact of tailored telephone coaching and Internet interventions on health risk behaviors and individual well-being. Exercise and stress management were the primary health risks of interest; improvements in other health risk behaviors were secondary outcomes. A sample of 3391 individuals who reported health risk in the areas of exercise and stress management were randomly assigned to 3 groups: telephonic coaching that applied Transtheoretical Model (TTM) tailoring for exercise and minimal tailoring (stage of change) for stress management; an Internet program that applied TTM tailoring for stress management and minimal tailoring for exercise; or a control group that received an assessment only. Participants were administered the Well-Being Assessment and, at baseline, had relatively low well-being scores (mean, 60.9 out of 100 across all groups). At 6 months, a significantly higher percentage of both treatment groups progressed to the Action stage for exercise, stress management, healthy diet, and total number of health risks, compared to the control group. Both treatment groups also demonstrated significantly greater improvements on overall well-being and the domains of emotional health, physical health, life evaluation, and healthy behaviors. There were no differences between the groups for 2 well-being domains: basic access to needs and work environment. These results indicate that scalable, tailored behavior change programs can effectively reduce health risk and accrue to improved well-being for participants.
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Affiliation(s)
- James O Prochaska
- Cancer Prevention Research Center, University of Rhode Island, Kingston, Rhode Island, USA
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Santiago-Rivas M, Velicer WF, Redding CA, Prochaska JO, Paiva AL. Cluster subtypes within the precontemplation stage of change for sun protection behavior. PSYCHOL HEALTH MED 2011; 17:311-22. [PMID: 22175661 DOI: 10.1080/13548506.2011.630401] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
The aim of this study is to identify replicable cluster subtypes within the precontemplation stage of change for sun protection. Secondary data analysis of baseline data from a sample of participants in a home-based expert system intervention was performed. Three random samples were selected from participants in the precontemplation stage (N = 570). Cluster analyses were performed using the scales of pros, cons, and self-efficacy. Interpretability of pattern, pseudo F-test, and dendograms were used to determine the number of clusters. A four-cluster solution replicated across subsamples. Significant differences between clusters on the nine processes of change and on behavioral measures were found. Cluster solutions were robust, interpretable and with good initial external validity. They replicated patterns found for other behaviors, demonstrating long-term predictability and providing basis for tailored interventions.
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A computerized, tailored intervention to address behaviors associated with PTSD in veterans: rationale and design of STR(2)IVE. Transl Behav Med 2011; 1:595-603. [PMID: 24073082 DOI: 10.1007/s13142-011-0088-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022] Open
Abstract
Combat exposure among military personnel results in increased risk of posttraumatic stress disorder (PTSD), major depression, substance use, and related health risks. PTSD symptoms require innovative approaches to promote effective coping postdeployment. PTSD's nature and scope requires an approach capable of integrating multiple health risks while reaching large populations. This article provides the rationale and approach to adapt and evaluate a Pro-Change computerized tailored intervention (CTI) targeted at behavioral sequelae (i.e., smoking, stress, and depression) for veterans with or at risk for PTSD. The three-phase approach includes: 1) focus groups to review and, subsequently, adapt content of the existing CTI programs; 2) usability testing; and 3) feasibility testing using a three-month pre-postdesign. Effective, theory-based, real-time, multiple behavior interventions targeting veterans' readiness to quit smoking, manage stress, and depression are warranted to provide potential health impact, opportunities for learning veteran-specific issues, and advance multiple health behavior change knowledge.
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Fjalldal SB, Janson C, Benediktsdóttir B, Gudmundsson G, Burney P, Buist AS, Vollmer WM, Gíslason T. Smoking, stages of change and decisional balance in Iceland and Sweden. CLINICAL RESPIRATORY JOURNAL 2011; 5:76-83. [PMID: 21410899 DOI: 10.1111/j.1752-699x.2010.00201.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
INTRODUCTION Smoking remains a significant health problem. Smoking interventions are important but selection of successful quitters can be difficult. OBJECTIVE To characterise smokers with emphasis on two constructs of the transtheoretical model, the stages of change and decisional balance. METHODS A random sample from adults aged 40 and over in Reykjavik, Iceland, and Uppsala, Sweden. Smokers were defined as being in the stage of pre-contemplation (not thinking of quitting within the next 6 months), contemplation (thinking of quitting within the next 6 months) or preparation (thinking of quitting within the next 30 days, having managed to quit for at least 24 h within the last 12 months). RESULTS A total of 226 participants were smokers: 72 (32%) were in the pre-contemplation stage, 126 (56%) in the contemplation stage and 28 (12%) in the preparation stage. A younger age, higher body mass index (BMI) and higher educational level were significantly related to being in a more advanced stage. A significant association was observed between decisional balance and stages of change such that decreased importance of the positive aspects of smoking and increased importance of the negative aspects of smoking were independently associated with an increased readiness to quit. CONCLUSION The motivated smoker is likely to be young and educated with an above average BMI. A smoker in the contemplation stage is likely to maintain the negative aspects of smoking at a high level. Decreasing the value of the pros of smoking may facilitate the shift towards the stage of preparation.
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Affiliation(s)
- Sigrídur B Fjalldal
- Department of Respiratory Medicine, Allergy and Sleep, Landspitali-University Hospital, Iceland
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Tzelepis F, Paul CL, Walsh RA, McElduff P, Knight J. Proactive telephone counseling for smoking cessation: meta-analyses by recruitment channel and methodological quality. J Natl Cancer Inst 2011; 103:922-41. [PMID: 21666098 DOI: 10.1093/jnci/djr169] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
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.
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Affiliation(s)
- Flora Tzelepis
- Centre for Health Research & Psycho-oncology, Cancer Council New South Wales, Faculty of Health, University of Newcastle and Hunter Medical Research Institute, New South Wales, Australia.
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Abstract
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.
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Affiliation(s)
- Kate Cahill
- Department of Primary Health Care, University of Oxford, Rosemary Rue Building, Old Road Campus, Oxford, UK, OX3 7LF
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Tzelepis F, Paul CL, Wiggers J, Walsh RA, Knight J, Duncan SL, Lecathelinais C, Girgis A, Daly J. A randomised controlled trial of proactive telephone counselling on cold-called smokers' cessation rates. Tob Control 2010; 20:40-6. [PMID: 21030529 PMCID: PMC3003878 DOI: 10.1136/tc.2010.035956] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objectives Active telephone recruitment (‘cold calling’) can enrol almost 45 times more smokers to cessation services than media. However, the effectiveness of proactive telephone counselling with cold-called smokers from the broader community is unknown. This study examined whether proactive telephone counselling improved abstinence, quit attempts and reduced cigarette consumption among cold-called smokers. Methods From 48 014 randomly selected electronic telephone directory numbers, 3008 eligible smokers were identified and 1562 (51.9%) smokers recruited into the randomised controlled trial. Of these, 769 smokers were randomly allocated to proactive telephone counselling and 793 to the control (ie, mailed self-help) conditions. Six counselling calls were offered to intervention smokers willing to quit within a month and four to those not ready to quit. The 4-month, 7-month and 13-month follow-up interviews were completed by 1369 (87.6%), 1278 (81.8%) and 1245 (79.9%) participants, respectively. Results Proactive telephone counselling participants were significantly more likely than controls to achieve 7-day point prevalence abstinence at 4 months (13.8% vs 9.6%, p=0.005) and 7 months (14.3% vs 11.0%, p=0.02) but not at 13 months. There was a significant impact of telephone counselling on prolonged abstinence at 4 months (3.4% vs 1.8%, p=0.02) and at 7 months (2.2% vs 0.9%, p=0.02). At 4 months post recruitment, telephone counselling participants were significantly more likely than controls to have made a quit attempt (48.6% vs 42.9%, p=0.01) and reduced cigarette consumption (16.9% vs 9.0%, p=0.0002). Conclusions Proactive telephone counselling initially increased abstinence and quitting behaviours among cold-called smokers. Given its superior reach, quitlines should consider active telephone recruitment, provided relapse can be reduced. Trial registration Australian New Zealand Clinical Trial Registry; ACTRN012606000221550.
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Affiliation(s)
- Flora Tzelepis
- Centre for Health Research & Psycho-oncology (CHeRP), University of Newcastle, Room 230A, Level 2, David Maddison Building, Callaghan, NSW 2308, Australia.
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Krebs P, Prochaska JO, Rossi JS. A meta-analysis of computer-tailored interventions for health behavior change. Prev Med 2010; 51:214-21. [PMID: 20558196 PMCID: PMC2939185 DOI: 10.1016/j.ypmed.2010.06.004] [Citation(s) in RCA: 509] [Impact Index Per Article: 36.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2009] [Revised: 06/04/2010] [Accepted: 06/05/2010] [Indexed: 11/29/2022]
Abstract
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.
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Affiliation(s)
- Paul Krebs
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
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Carpenter MJ, Alberg AJ, Gray KM, Saladin ME. Motivating the unmotivated for health behavior change: a randomized trial of cessation induction for smokers. Clin Trials 2010; 7:157-66. [PMID: 20338901 DOI: 10.1177/1740774510361533] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Many smokers remain unwilling or unable to make a quit attempt. For these smokers, novel strategies to induce quit attempts are necessary to achieve further reductions in smoking prevalence. PURPOSE This article describes the design and methods of an ongoing nationwide telephone-based clinical trial for cessation induction, the principal aim of which is to test the hypothesis that samples of nicotine replacement therapy (NRT), can induce quit attempts among smokers otherwise unmotivated to quit. METHODS Smokers are recruited proactively through online channels. A 'behavioral filter' is used to identify and separate motivated versus unmotivated smokers, the latter of whom (N = 750) are formally entered into the clinical trial. Participants are randomized to one of two treatment conditions designed to promote self-efficacy and motivation to quit: (1) practice quit attempt (PQA) or (2) PQA plus NRT sampling. The primary outcome measure tested over a 6-month follow-up is the incidence of additional quit attempts as well as hypothesized mediators of treatment effects. RESULTS This study details the challenges of identifying and treating smokers who are unmotivated to quit. Strengths include a novel treatment approach, tested among a group of proactively recruited smokers nationwide, with a unique method of identifying cessation-resistant smokers. LIMITATIONS The omission of a true control group, testing the effect of the PQA itself, is an inherent limitation to the study design. Online recruitment presents additional study challenges, all of which are discussed in detail. CONCLUSIONS The study has translational potential to guide both clinical and policy recommendations for cessation induction. Further, while the focus is on smoking, this trial may serve as an example to researchers and clinicians who focus on other health behaviors, and who themselves are challenged with motivating people who are unmotivated for change.
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Affiliation(s)
- Matthew J Carpenter
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Hollings Cancer Center,86 Jonathan Lucas St., PO Box 250955, Charleston, SC 29425, USA.
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Santiago-Rivas M, Velicer WF, Redding CA, Prochaska JO, Paiva AL. Cluster Subtypes within the Preparation Stage of Change for Sun Protection Behavior. Appl Psychol Health Well Being 2010. [DOI: 10.1111/j.1758-0854.2009.01028.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Haug S, Meyer C, Ulbricht S, Schorr G, Rüge J, Rumpf HJ, John U. Predictors and moderators of outcome in different brief interventions for smoking cessation in general medical practice. PATIENT EDUCATION AND COUNSELING 2010; 78:57-64. [PMID: 19660890 DOI: 10.1016/j.pec.2009.07.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2009] [Revised: 06/19/2009] [Accepted: 07/09/2009] [Indexed: 05/28/2023]
Abstract
OBJECTIVE To explore demographic-, health-, and smoking-related predictors and moderators of outcome in smokers who participated in two different brief smoking cessation interventions. METHODS Data were acquired using a quasi-randomized controlled trial that tested the efficacy of computer-generated tailored letters and physician-delivered brief advice against assessment only. Daily smokers (n=1499) were recruited from 34 general medical practices. We used Generalized Estimating Equation analyses to investigate the relationship between 6-month prolonged smoking abstinence assessed at 12-, 18-, and 24-month follow-ups and potential predictors and moderators. RESULTS Female gender (OR=1.49, 95% CI=1.01-2.19), higher level of education (OR=1.82, 95% CI=1.18-2.82), intention to quit smoking (OR=1.66, 95% CI=1.16-2.38), and smoking cessation self-efficacy (OR=1.30, 95% CI=1.03-1.64) were positively, nicotine dependence (OR=0.84, 95% CI=0.76-0.94) and the presence of a smoking partner (OR=0.60, 95% CI=0.42-0.85) were negatively associated with smoking abstinence. Compared to assessment only, physician advice was less effective for people without an intention to quit smoking and for unemployed. CONCLUSION Smoking cessation interventions might be improved by tailoring them to demographic- and smoking-related variables which were identified as predictors in this study. PRACTICE IMPLICATIONS The results suggest that tailored letters are a more universally applicable brief intervention in general medical practice than physician advice.
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Affiliation(s)
- Severin Haug
- Ernst-Moritz-Arndt-University Greifswald, Institute of Epidemiology and Social Medicine, Greifswald, Germany.
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Aveyard P, Massey L, Parsons A, Manaseki S, Griffin C. The effect of Transtheoretical Model based interventions on smoking cessation. Soc Sci Med 2009; 68:397-403. [PMID: 19038483 DOI: 10.1016/j.socscimed.2008.10.036] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2007] [Indexed: 11/24/2022]
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Flaws in the theory or flaws in the study: a commentary on "The effect of Transtheoretical Model based interventions on smoking cessation". Soc Sci Med 2008; 68:404-6; discussion 407-9. [PMID: 19041169 DOI: 10.1016/j.socscimed.2008.10.034] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2008] [Indexed: 11/23/2022]
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Abstract
Decision making is an integral part of the transtheoretical model of behavior change. Stage of change represents a temporal dimension for behavior change and has been the key dimension for integrating principles and processes of change from across leading theories of psychotherapy and behavior change. The decision-making variables representing the pros and cons of changing have been found to have systematic relationships across the stages of change for 50 health-related behaviors. Implications of these patterns of relationships are discussed in the context of helping patients make more effective decisions to decrease health risk behaviors and increase health-enhancing behaviors.
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Affiliation(s)
- James O Prochaska
- Cancer Prevention Research Center, University of Rhode Island, Kingston, RI 02881, USA.
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SCHUMANN A, JOHN U, ULBRICHT S, RUGE J, BISCHOF G, MEYER C. Computer-generated tailored feedback letters for smoking cessation: Theoretical and empirical variability of tailoring. Int J Med Inform 2008; 77:715-22. [DOI: 10.1016/j.ijmedinf.2008.03.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2007] [Revised: 09/05/2007] [Accepted: 03/03/2008] [Indexed: 11/27/2022]
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Prochaska JO, Wright JA, Velicer WF. Evaluating Theories of Health Behavior Change: A Hierarchy of Criteria Applied to the Transtheoretical Model. APPLIED PSYCHOLOGY-AN INTERNATIONAL REVIEW-PSYCHOLOGIE APPLIQUEE-REVUE INTERNATIONALE 2008. [DOI: 10.1111/j.1464-0597.2008.00345.x] [Citation(s) in RCA: 80] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Velicer WF, Cumming G, Fava JL, Rossi JS, Prochaska JO, Johnson J. Theory Testing Using Quantitative Predictions of Effect Size. APPLIED PSYCHOLOGY-AN INTERNATIONAL REVIEW-PSYCHOLOGIE APPLIQUEE-REVUE INTERNATIONALE 2008; 57:589-608. [PMID: 22837590 DOI: 10.1111/j.1464-0597.2008.00348.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Traditional Null Hypothesis Testing procedures are poorly adapted to theory testing. The methodology can mislead researchers in several ways, including: (a) a lack of power can result in an erroneous rejection of the theory; (b) the focus on directionality (ordinal tests) rather than more precise quantitative predictions limits the information gained; and (c) the misuse of probability values to indicate effect size. An alternative approach is proposed which involves employing the theory to generate explicit effect size predictions that are compared to the effect size estimates and related confidence intervals to test the theoretical predictions. This procedure is illustrated employing the Transtheoretical Model. Data from a sample (N = 3,967) of smokers from a large New England HMO system were used to test the model. There were a total of 15 predictions evaluated, each involving the relation between Stage of Change and one of the other 15 Transtheoretical Model variables. For each variable, omega-squared and the related confidence interval were calculated and compared to the predicted effect sizes. Eleven of the 15 predictions were confirmed, providing support for the theoretical model. Quantitative predictions represent a much more direct, informative, and strong test of a theory than the traditional test of significance.
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Affiliation(s)
- Wayne F Velicer
- Cancer Prevention Research Center, University of Rhode Island, USA
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Esters ON, Boeckner LS, Hubert M, Horacek T, Kritsch KR, Oakland MJ, Lohse B, Greene G, Nitzke S. Educator and participant perceptions and cost analysis of stage-tailored educational telephone calls. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2008; 40:258-264. [PMID: 18565467 DOI: 10.1016/j.jneb.2007.05.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2006] [Revised: 05/01/2007] [Indexed: 05/26/2023]
Abstract
OBJECTIVE To identify strengths and weaknesses of nutrition education via telephone calls as part of a larger stage-of-change tailored intervention with mailed materials. DESIGN Evaluative feedback was elicited from educators who placed the calls and respondents who received the calls. SETTING An internet and telephone survey of 10 states in the midwestern United States. PARTICIPANTS 21 educators in 10 states reached via the internet and 50 young adults reached via telephone. VARIABLES MEASURED AND ANALYSIS: Rankings of intervention components, ratings of key aspects of educational calls, and cost data (as provided by a lead researcher in each state) were summarized via descriptive statistics. RESULTS, CONCLUSIONS, AND IMPLICATIONS: Educational calls used 6 to 17 minutes of preparation time, required 8 to 15 minutes of contact time, and had a mean estimated cost of $5.82 per call. Low-income young adults favored print materials over educational calls. However, the calls were reported to have positive effects on motivating participants to set goals. Educators who use educational telephone calls to reach young adults, a highly mobile target audience, may require a robust and flexible contact plan.
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