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Mobile Intervention Design in Diabetes: Review and Recommendations

Overview of attention for article published in Current Diabetes Reports, September 2011
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Title
Mobile Intervention Design in Diabetes: Review and Recommendations
Published in
Current Diabetes Reports, September 2011
DOI 10.1007/s11892-011-0230-y
Pubmed ID
Authors

Shelagh A. Mulvaney, Lee M. Ritterband, Lindsay Bosslet

Abstract

Mobile technology enhances the potential to assess, prompt, educate, and engage individuals with diabetes. The near-ubiquitous presence of mobile phones allows real-time contextually relevant support for diabetes self-care. We review the design of mobile interventions included in a recent meta-analysis. Although mobile programs can lead to improvements in glycemic control, many aspects, such as the role of the diabetes clinician, real-time features, and patient engagement have not been documented. Studies with the greatest impact on hemoglobin A(1c) integrated patient feedback and a role for clinicians. Research is needed regarding feasible and efficacious roles for clinical support in mobile interventions. Recommendations for design and research include the following: consideration of patient and clinician burden; identification of patterns and metrics for patient treatment adherence and engagement; integration of goal setting and problem solving; enhancing patient education; a greater focus on patient-centered motivational strategies; and utilization of study designs that relate intervention design elements to outcomes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
Austria 1 <1%
Colombia 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 158 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 24%
Researcher 29 17%
Student > Master 18 11%
Student > Bachelor 16 9%
Student > Doctoral Student 10 6%
Other 31 18%
Unknown 25 15%
Readers by discipline Count As %
Medicine and Dentistry 36 21%
Computer Science 26 15%
Nursing and Health Professions 16 9%
Social Sciences 14 8%
Psychology 11 7%
Other 31 18%
Unknown 35 21%