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Patient Educ Couns. 2013 Jan;90(1):125-32. doi: 10.1016/j.pec.2012.09.008. Epub 2012 Oct 10.

Developing a behavioral model for mobile phone-based diabetes interventions.

Author information

1
Department of Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA. Shantanu.Nundy@uchospitals.edu

Abstract

OBJECTIVES:

Behavioral models for mobile phone-based diabetes interventions are lacking. This study explores the potential mechanisms by which a text message-based diabetes program affected self-management among African-Americans.

METHODS:

We conducted in-depth, individual interviews among 18 African-American patients with type 2 diabetes who completed a 4-week text message-based diabetes program. Each interview was audio-taped, transcribed verbatim, and imported into Atlas.ti software. Coding was done iteratively. Emergent themes were mapped onto existing behavioral constructs and then used to develop a novel behavioral model for mobile phone-based diabetes self-management programs.

RESULTS:

The effects of the text message-based program went beyond automated reminders. The constant, daily communications reduced denial of diabetes and reinforced the importance of self-management (Rosenstock Health Belief Model). Responding positively to questions about self-management increased mastery experience (Bandura Self-Efficacy). Most surprisingly, participants perceived the automated program as a "friend" and "support group" that monitored and supported their self-management behaviors (Barrera Social Support).

CONCLUSIONS:

A mobile phone-based diabetes program affected self-management through multiple behavioral constructs including health beliefs, self-efficacy, and social support.

PRACTICE IMPLICATIONS:

Disease management programs that utilize mobile technologies should be designed to leverage existing models of behavior change and can address barriers to self-management associated with health disparities.

PMID:
23063349
PMCID:
PMC3785373
DOI:
10.1016/j.pec.2012.09.008
[Indexed for MEDLINE]
Free PMC Article

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