Evaluating the QUIT-PRIMO clinical practice ePortal to increase smoker engagement with online cessation interventions: a national hybrid type 2 implementation study

BackgroundEffective web-assisted tobacco interventions (WATIs) have been underutilized by smokers; moreover, despite practice guideline recommendations, clinical teams do not routinely refer smokers to WATIs. Our goal was to test a clinical practice innovation, an ePortal designed to change practice and patient behavior. Our hypotheses were that the integrated system would result in increased smoker referrals, with an automated follow-up system resulting in more smoker registrations and finally augmentations of the WATI would result in more smokers quitting at 6 months.MethodsPractice ePortal Implementation Trial: Practices (n = 174) were randomized to an online practice ePortal with an “e-referral tool” to the WATI (e-referred smokers received automated email reminders from the practice) and with practice feedback reports with patient tracking and practice-to-patient secure messaging versus comparison (a paper “referral prescription”). Implementation success was measured by the number of smokers referred and smokers registering.Clinical Effectiveness Trial: To estimate the effectiveness of the WATI components on 6-month smoking cessation, registered smokers were randomized into three groups: a state-of-the-art tailored WATI control [control], the WATI enhanced with proactive, pushed tailored email motivational messaging (messaging), and the WATI with messaging further enhanced with personal secure messaging with a tobacco treatment specialist and an online support group (personalized).ResultsPractice ePortal Trial results: A total of 4789 smokers were referred. The mean smokers referred per practice was not statistically different by group (ePortal 24.89 (SD 22.29) versus comparison 30.15 (SD 25.45), p = 0.15). The e-referral portal implementation program resulted in nearly triple the rate of smoker registration (31 % of all smokers referred registered online) versus comparison (11 %, p < 0.001).Clinical Effectiveness Trial results: Active smokers randomized to the personalized group had a 6-month cessation rate of 25.2 %, compared with the messaging group (26.7 %) and the control (17 %). Next, when using an inverse probability weighted selection model to account for attrition, those randomized to the two groups that received motivational messaging (messaging or personalized) were more likely to quit than those in the control (p = 0.04).ConclusionsAmong all smokers referred, the e-referral resulted in nearly threefold greater registrants (31 %) than paper (11 %). The practice ePortal smokers received multiple reminders (increasing registration opportunities), and the practices could track patient progress. The result was more smokers registering and, thus, more cessation opportunities. Combining the proactive referral and the WATI resulted in higher rates of smoking cessation.Trial RegistrationWeb-delivered Provider Intervention for Tobacco Control (QUIT-PRIMO) - a randomized controlled trial: NCT00797628.

[1]  H. Javitz,et al.  Behavioral counseling and varenicline treatment for smoking cessation. , 2010, American journal of preventive medicine.

[2]  D. Hedeker,et al.  Statistical analysis of randomized trials in tobacco treatment: longitudinal designs with dichotomous outcome. , 2001, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[3]  L. Stead,et al.  Physician advice for smoking cessation. , 2004, The Cochrane database of systematic reviews.

[4]  I. White,et al.  Review of inverse probability weighting for dealing with missing data , 2013, Statistical methods in medical research.

[5]  Rajani S Sadasivam,et al.  The QUIT-PRIMO provider-patient Internet-delivered smoking cessation referral intervention: a cluster-randomized comparative effectiveness trial: study protocol , 2010, Implementation science : IS.

[6]  Susan A Murphy,et al.  Developing multicomponent interventions using fractional factorial designs , 2009, Statistics in medicine.

[7]  Carlos Roberto Jaén,et al.  A clinical blueprint to accelerate the elimination of tobacco use. , 2008, JAMA.

[8]  Dependence Update Panel,et al.  A clinical practice guideline for treating tobacco use and dependence: 2008 update. A U.S. Public Health Service report. , 2008, American journal of preventive medicine.

[9]  Jennifer L. Pomeranz,et al.  The Delivery of Public Health Interventions via the Internet: Actualizing Their Potential , 2011 .

[10]  L. An,et al.  Why assigning ongoing tobacco use is not necessarily a conservative approach to handling missing tobacco cessation outcomes. , 2009, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[11]  A. Levinson,et al.  Clinical faxed referrals to a tobacco quitline: reach, enrollment, and participant characteristics. , 2009, American journal of preventive medicine.

[12]  John H Wasson,et al.  Microsystems in health care: Part 3. Planning patient-centered services. , 2003, Joint Commission journal on quality and safety.

[13]  Heather L. Coley,et al.  Crowdsourced peer- versus expert-written smoking-cessation messages. , 2013, American journal of preventive medicine.

[14]  J. Hollis,et al.  The feasibility of connecting physician offices to a state-level tobacco quit line. , 2006, American journal of preventive medicine.

[15]  T. Coleman Use of simple advice and behavioural support , 2004, BMJ : British Medical Journal.

[16]  Rajani S Sadasivam,et al.  Development of an Interactive, Web-Delivered System to Increase Provider–Patient Engagement in Smoking Cessation , 2011, Journal of medical Internet research.

[17]  J. Seeley,et al.  Methodological Issues in Research on Web-Based Behavioral Interventions , 2009, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[18]  Heather L. Coley,et al.  Who Participates in Web-Assisted Tobacco Interventions? The Quit-Primo and National Dental Practice-Based Research Network Hi-Quit Studies , 2013, Journal of medical Internet research.

[19]  L. Tanoue,et al.  A Clinical Blueprint to Accelerate the Elimination of Tobacco Use , 2009 .

[20]  Vijay N. Nair,et al.  A strategy for optimizing and evaluating behavioral interventions , 2005, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[21]  Thomas R Fanshawe,et al.  Combined pharmacotherapy and behavioural interventions for smoking cessation. , 2016, The Cochrane database of systematic reviews.

[22]  Geoffrey M. Curran,et al.  Effectiveness-implementation Hybrid Designs: Combining Elements of Clinical Effectiveness and Implementation Research to Enhance Public Health Impact , 2012, Medical care.

[23]  W F Velicer,et al.  Assessing outcome in smoking cessation studies. , 1992, Psychological bulletin.

[24]  Derek B. Kosty,et al.  Modeling missing binary outcome data in a successful web-based smokeless tobacco cessation program. , 2010, Addiction.

[25]  W. Miller,et al.  Motivational Interviewing: Preparing People to Change Addictive Behavior , 1991 .

[26]  M. Fiore A Clinical Practice Guideline for Treating Tobacco Use and Dependence A US Public Health Service Report , 2000 .

[27]  Heather L. Coley,et al.  Smoking-cessation e-referrals: a national dental practice-based research network randomized controlled trial. , 2014, American journal of preventive medicine.

[28]  D. Ford,et al.  A tailored Internet-delivered intervention for smoking cessation designed to encourage social support and treatment seeking: usability testing and user tracing , 2008, Informatics for health & social care.

[29]  Aziz Sheikh,et al.  Internet-based interventions for smoking cessation. , 2013, The Cochrane database of systematic reviews.

[30]  M. Fiore,et al.  Fax to quit: a model for delivery of tobacco cessation services to Wisconsin residents. , 2005, WMJ : official publication of the State Medical Society of Wisconsin.

[31]  S. Rabe-Hesketh,et al.  Reliable Estimation of Generalized Linear Mixed Models using Adaptive Quadrature , 2002 .

[32]  M. Kenward,et al.  Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial , 2011, The Lancet.

[33]  Heather L. Coley,et al.  Implementing point of care “e-referrals” in 137 clinics to increase access to a quit smoking internet system: the Quit-Primo and National Dental PBRN HI-QUIT Studies , 2013, Translational behavioral medicine.

[34]  T. Coleman,et al.  [ABC of smoking cessation. Use of simple advice and behavioural support]. , 2004, Casopis lekaru ceskych.

[35]  Elliot R. Siegel,et al.  Information Rx: Evaluation of a new informatics tool for physicians, patients, and libraries , 2006, Inf. Serv. Use.

[36]  Ian Harvey,et al.  A pragmatic–explanatory continuum indicator summary (PRECIS): a tool to help trial designers , 2009, Canadian Medical Association Journal.

[37]  E. Augustson,et al.  Smokers who use internet and smokers who don't: data from the Health Information and National Trends Survey (HINTS). , 2006, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.