The QUIT-PRIMO provider-patient Internet-delivered smoking cessation referral intervention: a cluster-randomized comparative effectiveness trial: study protocol (original) (raw)
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American Journal of Preventive Medicine, 2014
Background-Tobacco use is still the leading preventable cause of death and morbidity in the U.S. Web-assisted tobacco interventions are an effective but underutilized tool in assisting smokers with quitting. The dental visit is an excellent opportunity to assist smokers in quitting by referring them to these tobacco cessation online programs. Purpose-The study purpose was to test two patient referral methods-paper referrals (information prescriptions) versus paper plus e-referrals-to a web-assisted smoking cessation induction system. Design-An RCT that used implementation research methods. Participants/setting-100 community-based dental practices were enrolled and 1814 smokers were referred to the web-assisted tobacco induction system.
JAMA Network Open, 2022
IMPORTANCE Despite the substantial health and financial burdens of smoking and the availability of effective, evidence-based interventions in primary care settings, few smokers and physicians use these strategies for smoking cessation. OBJECTIVE To evaluate whether electronic outreach to smokers with embedded asynchronous care increases the number of quit attempts and explore the roles of the message sender (ie, primary care physician [PCP] vs health care system) and patient-related characteristics. DESIGN, SETTING, AND PARTICIPANTS This quality improvement randomized clinical trial was designed to measure 2 factors: (1) electronic outreach messaging with and without a survey link to asynchronous care and (2) messaging by a personal PCP or health system. The study was conducted within the electronic health record and portal messaging platform of a large health system in the South Central US. Participants were adult patients 18 years or older who were designated as smokers in their electronic health records. Data were collected from January 13 to February 24, 2020, with participating PCPs surveyed in July 2020. INTERVENTIONS Portal messages encouraging a quit attempt and offering physician assistance were sent to smokers who were randomly selected and assigned to 1 of 4 conditions (message with or without embedded asynchronous care and PCP or system as sender). Half of the messages contained an invitation to come to clinics and the other half contained a link to access asynchronous care. MAIN OUTCOMES AND MEASURES The primary outcome was electronic health recorddocumented quit attempts (1 indicates quit attempt; 0, no quit attempt), which were tracked 30 days after the electronic outreach. Secondary outcomes included physician perceptions of the electronic outreach intervention, using a 5-point scale to assess perceptions of workload, comfort with providing medication from survey information, and further interest in the program 6 months after the intervention. RESULTS A total of 188 participants (99 women [52.4%] and 89 men [47.3%]) with mean (SD) age of 55.2 (13.9) years were randomized to 1 of 4 conditions. Group 1 (n = 46) received a message from the PCP without a link to the survey; group 2 (n = 48) received a message from the PCP with a link to asynchronous care in the form of the survey. Group 3 (n = 47) received a message from the health system without a link to the survey; group 4 (n = 47) received a message from the health system with a link to the survey. No statistically significant difference in documented quite attempts was found among the 4 study groups. There was also no statistically significant difference in quit attempts between the group that received the asynchronous care survey link and the group that did not (odds (continued) Key Points Question Can electronic outreach to patients via portal messaging combined with asynchronous care overcome physician-and patient-level barriers and increase physician-assisted attempts to quit smoking? Findings In this randomized clinical trial of 188 smokers, 9.5% who received electronic outreach messaging and interacted with their physician via a smoking cessation survey (asynchronous care) initiated a quit attempt, while only 4.3% who received electronic outreach messaging without asynchronous care initiated a quit attempt. This difference was not statistically significant. Meaning These findings suggest that primary care practices can use electronic outreach technology to reach smokers and remotely connect them to resources by removing physician-and patient-level barriers through asynchronous care.
Implementation Science, 2019
Background: Smokers usually abstain from tobacco while hospitalized but relapse after discharge. Inpatient interventions may encourage sustained quitting. We previously demonstrated that a decision support tool embedded in an electronic health record (EHR) improved physicians' treatment of hospitalized smokers. This report describes the effect on quit rates of this decision support tool and order set for hospitalized smokers. Methods: In a single hospital system, 254 physicians were randomized 1:1 to receive a decision support tool and order set, embedded in the EHR. When an adult patient was admitted to a medical service, an electronic alert appeared if current smoking was recorded in the EHR. For physicians receiving the intervention, the alert linked to an order set for tobacco treatment medications and electronic referral to the state tobacco quitline. Additionally, "Tobacco Use Disorder" was added to the patient's problem list, and a secure message was sent to the patient's primary care provider (PCP). In the control arm, no alert appeared. Patients were contacted by phone at 1, 6, and 12 months; those reporting tobacco abstinence at 12 months were asked to return to measure exhaled carbon monoxide. Generalized estimating equations were used to model the data. Results: From 2013 to 2016, the alert fired for 10,939 patients (5391 intervention, 5548 control). Compared to control physicians, intervention physicians were more likely to order tobacco treatment medication, populate the problem list with tobacco use disorder, refer to the quitline, and notify the patient's PCP. In a subset of 1044 patients recruited for intensive follow-up, one-year quit rates for intervention and control patients were, respectively, 11.5% and 11.6%, (p = 0.94), after controlling for age, sex, race, ethnicity, and insurance. Similarly, there were no differences in 1-and 6-month quit rates. Conclusions: Although we were able to improve processes of care, long-term tobacco quit rates were unchanged. This likely reflects, in part, the need for sustained quitting interventions, and higher-than-expected quit rates in controls. Future enhancements should improve prescription of medications for smoking cessation at discharge, engagement of primary care providers, and perhaps direct engagement of patients in a more longitudinal approach. Trial registration: ClinicalTrials.gov, NCT01691105. Registered on
Web-Based Intervention for Transitioning Smokers From Inpatient to Outpatient Care An RCT
Introduction: Smoking-cessation follow-up care after hospitalization is known to be effective. Costeffective and disseminable interventions adoptable by hospitals are needed. Design: RCT. Setting/participants: Fourteen hundred eighty-eight current smokers recruited during a tertiary care hospital stay were randomly assigned to Usual Care (UC) or Usual Care plus Web-Based Intervention (WI). Data were collected in 2011–2013 and analyzed in 2014–2015. Intervention: UC provided brief bedside advice to quit, a quit plan template, and quitline contact information. WI included access to a website with asynchronous e-message communication with a tobacco counselor, use of interactive self-assessments, helpful cessation information, and access to additional web resources, as well as automated e-mail messages tailored for health concern and readiness to quit. Main outcome measures: Self-reported 30-day abstinence at 6 months was the primary outcome; a subset was verified by saliva cotinine. Results: Six-month follow-up was completed by 83% of participants. No difference was found between study arms for self-reported abstinence rates in intent-to-treat (25.4% WI vs 26.8% UC) and complete case (31.3% WI vs 31.4% UC) analyses. Reduced smoking was reported by 45.5% (WI, n¼276) and 47% (UC, n¼296) of non-abstinent responders (p¼0.59). Using a 10-ng/mL cotinine cut off, abstinence was verified in 52.1% of WI and 62.5% of UC (p¼0.11). Significant covariates associated with abstinence at 6 months were being male, not smoking during hospitalization, being very confident in quitting, planning to quit/stay quit, smoking fewer days in the past 30 days, fewer years of smoking, and having cerebrovascular or connective tissue rheumatic disease as primary hospital diagnosis. Conclusions: Lack of difference between treatment arms suggests a strong effect for UC, WI was not effective, or both. Low intervention engagement may be partially responsible. Self-reported abstinence rates were relatively high in both arms, although the biochemically verified rates indicate over-reporting of abstinence. These findings suggest brief bedside counseling for all hospitalized smokers is beneficial.
Journal of general internal medicine, 2007
Objective The primary care visit represents an important venue for intervening with a large population of smokers. However, physician adherence to the Smoking Cessation Clinical Guideline (5As) remains low. We evaluated the effectiveness of a computer-tailored intervention designed to increase smoking cessation counseling by primary care physicians. Methods Physicians and their patients were randomized to either intervention or control conditions. In addition to brief smoking cessation training, intervention physicians and patients received a one-page report that characterized the patients’ smoking habit and history and offered tailored recommendations. Physician performance of the 5As was assessed via patient exit interviews. Quit rates and smoking behaviors were assessed 6 months postintervention via patient phone interviews. Intervention effects were tested in a sample of 70 physicians and 518 of their patients. Results were analyzed via generalized and mixed linear modeling controlling for clustering. Measurements and Main Results Intervention physicians exceeded controls on “Assess” (OR 5.06; 95% CI 3.22, 7.95), “Advise” (OR 2.79; 95% CI 1.70, 4.59), “Assist–set goals” (OR 4.31; 95% CI 2.59, 7.16), “Assist–provide written materials” (OR 5.14; 95% CI 2.60, 10.14), “Assist–provide referral” (OR 6.48; 95% CI 3.11, 13.49), “Assist–discuss medication” (OR 4.72;95% CI 2.90, 7.68), and “Arrange” (OR 8.14; 95% CI 3.98, 16.68), all p values being < 0.0001. Intervention patients were 1.77 (CI 0.94, 3.34,p = 0.078) times more likely than controls to be abstinent (12 versus 8%), a difference that approached, but did not reach statistical significance, and surpassed controls on number of days quit (18.4 versus 12.2, p < .05) but not on number of quit attempts. Conclusions The use of a brief computer-tailored report improved physicians’ implementation of the 5As and had a modest effect on patients’ smoking behaviors 6 months postintervention.
Effectiveness of a Computer-Tailored Smoking Cessation Program
Archives of Internal Medicine, 2001
Smoking remains a major public health problem; developing effective interventions to encourage more quit attempts, and to improve the success rate of self-quit attempts, is essential to reduce the numbers of people who smoke. Interventions for smoking cessation can be characterised in two extremes: the intensive face-to face therapy of the clinical approach, and largescale, public health interventions and policy initiatives. Computer-based systems offer a method for generating highly tailored behavioural feedback letters, and can bridge the gap between these two extremes. Proactive mailing and recruitment can also serve as a prompt to motivate smokers to make quit attempts or to seek more intensive help. The aim of this study is to evaluate the effect of personally tailored feedback reports, sent to smokers identified from general practitioners lists on quit rates and quitting activity. The trial uses a modified version of a computer-based system developed by two of the authors to generate individually tailored feedback reports.
Design and Pilot Evaluation of an Internet Smoking Cessation Program
Journal of the American Medical Informatics Association, 2003
About 23.5% of Americans smoke, and more than 70% of those who do say that they want to quit. The vast majority of smokers try to quit without professional help (80%); however, only about 10% succeed. 1 This article focuses on the development of a model for using Internet technologies to help smokers quit on their own. The approach uses a widely recognized cognitive/behavioral model for treatment of addiction. 2,3 including the use of mood management techniques to support smokers during their quit efforts.
2013
Background: Intensive interventions on smoking cessation increase abstinence rates. However, few electronic mail (E-mail) based intensive interventions have been tested in smokers and none in primary care (PC) setting. The aim of the present study is to evaluate the effectiveness of an intensive E-mail based intervention in smokers attending PC services. Methods/design: Randomized Controlled Multicentric Trial. Study population: 1060 smokers aged between 18-70 years from Catalonia, Salamanca and Aragón (Spain) who have and check regularly an E-mail account. Patients will be randomly assigned to control or intervention group. Intervention: Six phase intensive intervention with two face to face interviews and four automatically created and personal E-mail patients tracking, if needed other E-mail contacts will be made. Control group will receive a brief advice on smoking cessation. Outcome measures: Will be measured at 6 and 12 months after intervention: self reported continuous abstinence (confirmed by cooximetry), point prevalence abstinence, tobacco consumption, evolution of stage according to Prochaska and DiClemente's Stages of Change Model, length of visit, costs for the patient to access Primary Care Center. Statistical analysis: Descriptive and logistic and Poisson regression analysis under the intention to treat basis using SPSS v.17. Discussion: The proposed intervention is an E-mail based intensive intervention in smokers attending primary care. Positive results could be useful to demonstrate a higher percentage of short and long-term abstinence among smokers attended in PC in Spain who regularly use E-mail. Furthermore, this intervention could be helpful in all health services to help smokers to quit.
Improving Adherence to Smoking Cessation Treatment: Smoking Outcomes in a Web-based Randomized Trial
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2018
Partial adherence in Internet smoking cessation interventions presents treatment and evaluation challenges. Increasing adherence may improve outcomes. To present smoking outcomes from an Internet randomized trial of two strategies to encourage adherence to tobacco dependence treatment components: (i) a social network (SN) strategy to integrate smokers into an online community and (ii) free nicotine replacement therapy (NRT). In addition to intent-to-treat analyses, we used novel statistical methods to distinguish the impact of treatment assignment from treatment utilization. A total of 5,290 current smokers on a cessation website (WEB) were randomized to WEB, WEB + SN, WEB + NRT, or WEB + SN + NRT. The main outcome was 30-day point prevalence abstinence at 3 and 9 months post-randomization. Adherence measures included self-reported medication use (meds), and website metrics of skills training (sk) and community use (comm). Inverse Probability of Retention Weighting and Inverse Proba...