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Adaptive interventions to optimise the mobile phone-based smoking cessation support: study protocol for a sequential,

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This study evaluates an adaptive mobile health intervention for smoking cessation using a novel trial design. Personalized messaging and tailored support aim to improve quit rates in daily smokers.

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Area of Science:

  • Digital Health Interventions
  • Behavioral Science
  • Public Health

Background:

  • Mobile health (mHealth) offers potential for personalized smoking cessation programs.
  • Adaptive trial designs can optimize intervention effectiveness for individual needs.
  • This study investigates an adaptive mHealth approach for increasing smoking cessation.

Purpose of the Study:

  • To evaluate the effectiveness of a personalized mHealth intervention for smoking cessation.
  • To assess the impact of an adaptive trial design on smoking abstinence rates.

Main Methods:

  • A two-arm, parallel, accessor-blinded Sequential Multiple-Assignment Randomized Trial (SMART) involving 1200 daily smokers.
  • Participants receive initial cessation advice and are randomized to personalized instant messaging (PIM) or regular instant messaging (RIM).
  • Non-responders in phase two are re-randomized to receive either combined interventions or continued assigned messaging, with responders continuing their initial assignment.

Main Results:

  • Primary outcomes include biochemically validated abstinence (exhaled carbon monoxide < 4 ppm, salivary cotinine < 10 ng/ml) at 3 and 6 months.
  • Intention-to-treat analysis will be employed to assess intervention effectiveness.

Conclusions:

  • This is the first study to employ a SMART design for evaluating adaptive mHealth interventions in community-recruited daily smokers.
  • Successful findings could guide the development of adaptive smoking cessation treatments for individuals not responding to low-intensity support.