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Optimizing diffusion of an online computer tailored lifestyle program: a study protocol.

Francine Schneider¹, Liesbeth A D M van Osch, Stef P J Kremers

¹CAPHRI/Department of Health Promotion, Maastricht University, P,O, Box 616, 6200 MD Maastricht, the Netherlands. francine.schneider@maastrichtuniversity.nl

BMC Public Health

|June 22, 2011

Summary

This summary is machine-generated.

Optimizing online lifestyle interventions requires understanding user adoption. This study investigates user characteristics and tests proactive email prompts to improve sustained engagement with digital health programs.

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Area of Science:

Digital Health
Public Health Interventions
Behavioral Science

Background:

Online lifestyle interventions offer scalable public health solutions but face low exposure rates.
Optimizing dissemination and sustained use is crucial for maximizing public health impact.
This project focuses on enhancing the adoption and engagement of a new online lifestyle program.

Purpose of the Study:

To investigate the adoption process of an online lifestyle program.
To identify determinants of adoption and characteristics of users (adopters, non-adopters, satisfied, unsatisfied).
To evaluate a proactive strategy using email prompts for sustained program use.

Main Methods:

Prospective study to analyze adoption levels, determinants, and user profiles.
Randomized controlled trial to test the effectiveness of periodic e-mail prompts.
Data collection on user characteristics and satisfaction levels.

Main Results:

Mapping the adoption process provides insights into user engagement patterns.
Understanding user characteristics aids in program optimization and targeted interventions.
The study will compare proactive (prompt-based) versus reactive strategies for sustained use.

Conclusions:

Insights from adoption mapping can refine online lifestyle interventions for broader reach and satisfaction.
Proactive strategies, like email prompts, may significantly enhance sustained engagement.
Evidence-based recommendations for using prompts in digital health interventions will be developed.