Lessons from an Online Stop-Smoking Intervention: Adaptations for Mobile Implementation

A web-based tailored intervention yields valuable lessons for transitioning content from personal computers to the smaller form factor of a mobile device. Lessons learned from a stop-smoking intervention designed for the National Cancer Institute site www.smokefree.gov can provide a useful framework for developing tailored mHealth apps. Issues of instrument deployment, data quality, item design, user characteristics, motivation to improve health, barriers to improvement, and health behavior history and current status may be essential considerations in creating an engaging, effective user experience. Appropriate, relevant inclusion of alternative approaches could help users set and maintain health behaviors such as tobacco abstinence.

[1]  P Norman,et al.  The theory of planned behavior and smoking cessation. , 1999, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[2]  M. Fiore,et al.  Treating tobacco use and dependence: an evidence-based clinical practice guideline for tobacco cessation. , 2002, Chest.

[3]  Christina N. Lessov-Schlaggar,et al.  Association of tobacco dependence and quit attempt duration with Rasch-modeled withdrawal sensitivity using retrospective measures. , 2009, Addiction.

[4]  Christina N. Lessov-Schlaggar,et al.  Reliability of adult retrospective recall of lifetime tobacco use. , 2008, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[5]  I. Ajzen.  Attitudes, Personality and Behavior , 1988 .

[6]  Lorien C Abroms,et al.  iPhone apps for smoking cessation: a content analysis. , 2011, American journal of preventive medicine.

[7]  J. E. Gordon.  Personality and behavior , 1963 .

[8]  M. Goolsby,et al.  Treating Tobacco Use and Dependence , 2008, Pediatrics.

[9]  Christina N. Lessov-Schlaggar,et al.  Test-Retest Reliability of Web-Based Retrospective Self-Report of Tobacco Exposure and Risk , 2009, Journal of medical Internet research.

[10]  H. Javitz,et al.  American Journal of Epidemiology Practice of Epidemiology Validity of Recall of Tobacco Use in Two Prospective Cohorts , 2022 .

[11]  I. Ajzen,et al.  Prediction and change of health behavior: Applying the reasoned action approach. , 2007 .

[12]  Duane F. Alwin,et al.  Measurement Errors in Surveys , 2006 .

[13]  Nathan K. Cobb,et al.  Characteristics of smokers reached and recruited to an internet smoking cessation trial: a case of denominators. , 2006, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[14]  Tobacco Use and Dependence Guideline Panel.  Treating Tobacco Use and Dependence: 2008 Update , 2008 .

[15]  J. Ostroff,et al.  Intention to quit smoking among lesbian, gay, bisexual, and transgender smokers. , 2009, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[16]  Seymour Sudman,et al.  Measurement Errors in Surveys: Biemer/Measurement , 2004 .

[17]  M Nagy.  [Personality and behavior]. , 1969, Munca sanitara.

[18]  I. Ajzen,et al.  Predicting and Changing Behavior: The Reasoned Action Approach , 2009 .