A review of computer and Internet-based interventions for smoking behavior

Area of Science:

• Digital Health
• Behavioral Science
• Public Health

Background:

• Computer and Internet-based interventions offer scalable solutions for smoking cessation.
• Previous research has explored various automated systems for smoking prevention and cessation.
• A comprehensive review is needed to synthesize findings from early digital health interventions.

Purpose of the Study:

• To review studies on computer and Internet-based interventions for smoking behavior.
• To identify the effectiveness of automated systems in smoking prevention and cessation.
• To analyze intervention characteristics associated with positive outcomes.

Main Methods:

• Conducted electronic and manual literature searches for studies published between 1995 and August 2004.
• Included 19 studies that utilized automated systems and measured smoking behavior outcomes.
• Analyzed study methodologies, intervention delivery, participant characteristics, and follow-up periods.

Main Results:

• Nine out of 19 (47%) eligible studies reported statistically significant improvements in smoking behavior outcomes.
• The "first generation" intervention format (mailed computer-generated feedback) was most consistently associated with improved outcomes.
• Few specific patterns in subject, design, or intervention characteristics consistently predicted positive results.

Conclusions:

• Computer and Internet-based interventions show potential for smoking cessation, with early feedback formats being promising.
• Further research is required to identify patient subgroups who benefit most from digital interventions.
• Investigating optimal pharmacological and behavioral adjuncts is crucial for enhancing cessation rates.