scholarly journals The Effectiveness of Web-Based Tailored Smoking Cessation Interventions on the Quitting Process (Project Quit): Secondary Analysis of a Randomized Controlled Trial

2018 ◽  
Vol 20 (6) ◽  
pp. e213 ◽  
Author(s):  
Bibhas Chakraborty ◽  
Raju Maiti ◽  
Victor J Strecher
Keyword(s):  
Randomized Controlled Trial ◽  
Smoking Cessation ◽  
Controlled Trial ◽  
Secondary Analysis ◽  
Web Based ◽  
Randomized Controlled

scholarly journals Predictors of Self-Determined Module Choice in a Web-Based Computer-Tailored Diet and Physical Activity Intervention: Secondary Analysis of Data From a Randomized Controlled Trial

10.2196/15024 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e15024
Author(s):  
Juul M J Coumans ◽  
Catherine A W Bolman ◽  
Anke Oenema ◽  
Lilian Lechner
Keyword(s):  
Physical Activity ◽  
Randomized Controlled Trial ◽  
Physical Activity Intervention ◽  
Multinomial Logistic Regression ◽  
Controlled Trial ◽  
Secondary Analysis ◽  
Motivation To Change ◽  
Web Based ◽  
Multinomial Logistic Regression Analysis ◽  
Randomized Controlled

Background Tailoring an online intervention to participant preferences (eg, by giving participants a choice which modules to follow) may increase engagement in the intervention, motivation for behavioral change, and possibly intervention effects. So far, little is known about what characteristics predict these module choices. Filling this knowledge gap is useful for optimizing program engagement. Objective We investigated participant choice for a dietary and/or physical activity (PA) promotion module in our web-based computer-tailored intervention based on self-determination theory (SDT) and motivational interviewing (MI). Furthermore, we investigated which demographic characteristics, current behavior, psychosocial constructs and constructs from SDT and MI, and program-related variables such as advice on which module to follow were associated with these choices. Methods Observational data were used from the randomized controlled trial MyLifestyleCoach of participants who were randomized into the intervention condition, completed the baseline questionnaire, and made a module choice in the opening session of the intervention. Here, they received advice on their own dietary and PA behavior. At the session’s end, they chose which lifestyle modules they would like to follow (both, diet, PA, or no module). Measurements included demographic information; self-reported diet and PA; and several psychosocial, SDT, and MI constructs. In total, data from 619 Dutch adults (59.6% women; mean age was 51.9 [SD 13.5] years) were analyzed. A stepwise multinomial logistic regression analysis was conducted to investigate which characteristics are related to module choice; the diet module served as reference category as almost everyone was advised to follow this module. Results Of this sample, 54.8% (339/619) chose to do both the diet and PA module, 25.4% (157/619) chose to follow the diet module, 17.8% (110/619) preferred to follow no module, and 2.1% (13/619) chose to do the PA module only. Furthermore, it was found that older people, those who consumed more fruit, and those who scored lower on importance to change their current diet were more likely to choose no module compared to the diet module. People who had more motivation to change their current PA and those who received strong advice compared with slight advice to follow the diet module were more likely to choose both modules compared with the diet module only. Conclusions The results show that more than half of the sample was interested in following both the diet and PA module in this online lifestyle intervention. Several characteristics were found to be related to module choice. A future challenge is to examine how this knowledge can be used to improve future interventions, such as tailoring (messages or content) on specific groups or examining where and how MI could be used to motivate people to make a certain module choice. Trial Registration Netherlands Trial Register NL7333; https://www.trialregister.nl/trial/7333

scholarly journals Comparing Two Web-Based Smoking Cessation Programs: Randomized Controlled Trial

2008 ◽  
Vol 10 (5) ◽  
pp. e40 ◽  
Author(s):  
H Garth McKay ◽  
Brian G Danaher ◽  
John R Seeley ◽  
Edward Lichtenstein ◽  
Jeff M Gau
Keyword(s):  
Randomized Controlled Trial ◽  
Smoking Cessation ◽  
Controlled Trial ◽  
Web Based ◽  
Randomized Controlled

scholarly journals A Mixed-Methods Evaluation of Usability and Acceptability of Web-Based Relapse Prevention and Self-Monitoring Program: Secondary Analysis of a Pilot Randomized Controlled Trial

2021 ◽  
Vol 12 ◽  
Author(s):  
Ayumi Takano ◽  
Toshihiko Matsumoto
Keyword(s):  
Randomized Controlled Trial ◽  
Relapse Prevention ◽  
Controlled Trial ◽  
Secondary Analysis ◽  
Monitoring Program ◽  
Self Monitoring ◽  
Web Based ◽  
Randomized Controlled ◽  
Pilot Randomized Controlled Trial ◽  
The Web

This secondary analysis of a pilot randomized controlled trial assessed the usability and acceptability of a web-based relapse prevention and self-monitoring program, which was newly developed for Japanese drug users. We analyzed quantitative and qualitative data using a mixed-method approach among 43 study participants. We assessed the usability of the programs using the Web Usability Scale (WUS) and satisfaction and acceptance using the Client Satisfaction Questionnaire 8-item version (CSQ-8). We also collected qualitative feedback using semi-structured open-ended questions. The results of WUS indicated that the usability of the programs was sufficient. According to the CSQ-8 results, the self-monitoring program had less satisfaction, while the web-based relapse prevention program met satisfaction. Some possible improvements for a future version of the web-based programs were suggested based on participants' feedback.

scholarly journals Tailored Information About E-Cigarettes in a Web-Based Smoking Cessation Intervention: Study Protocol for a Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Jan Mathis Elling ◽  
Rik Crutzen ◽  
Reinskje Talhout ◽  
Hein de Vries
Keyword(s):  
Decision Making ◽  
Randomized Controlled Trial ◽  
Smoking Cessation ◽  
Study Protocol ◽  
Controlled Trial ◽  
Web Based ◽  
Randomized Controlled ◽  
Cessation Intervention ◽  
Tailored Information ◽  
Intervention Condition

BACKGROUND There is an ongoing debate whether or not electronic cigarettes (e-cigarettes) should be advocated for smoking cessation. Because of this uncertainty, information about the use of e-cigarettes for smoking cessation is usually not provided in governmental smoking cessation communications. However, there is an information need among smokers, because – despite this uncertainty – e-cigarettes are used by many smokers to reduce and/or quit tobacco smoking. OBJECTIVE To describe the study protocol of a Randomized Controlled Trial (RCT) to assess the effect of providing tailored information about e-cigarettes compared to not providing this information on determinants of decision-making and smoking reduction and abstinence. This information is provided in the context of a digital smoking cessation intervention. METHODS An RCT with a 6-month follow-up period will be conducted among adult smokers motivated to quit smoking within 5 years. Participants will be 1:1 randomized into either the intervention condition or control condition. Grounded on the I-Change Model, participants in both conditions will receive tailored feedback on attitude, social influence, preparatory plans, self-efficacy, and coping plans. Information on six clusters of smoking cessation methods will be provided in both conditions. Smokers in the intervention condition will also receive detailed tailored information on e-cigarettes; smokers in the control condition will not receive this information. The primary outcome measure will be the number of tobacco cigarettes smoked in the past 7 days. Secondary outcome measures will include 7-day point prevalence tobacco abstinence, 7-day point prevalence e-cigarette abstinence, and determinants of decision-making (i.e., knowledge and attitude regarding e-cigarettes). All outcomes will be self-assessed through web-based questionnaires. RESULTS Recruitment began in March 2020 and was completed by July 2020. We expect to publish the results in March 2021. CONCLUSIONS The experimental design of the study allows conclusions to be formed regarding the effects of tailored information about e-cigarettes on decision-making and smoking behavior. The findings can inform the development of future smoking cessation interventions. CLINICALTRIAL Dutch Trial Register, Trial NL8330 (https://www.trialregister.nl/trial/8330)

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