Volume 14, Issue 3 pp. 465-469

Evaluating the impact of mobile telephone technology on type 2 diabetic patients’ self-management: the NICHE pilot study

Zubaida Faridi MBBS MPH CHES

Corresponding Author

Zubaida Faridi MBBS MPH CHES

Research Manager,

Zubaida Faridi
Yale Prevention Research Center
Griffin Hospital
130 Division Street
Derby CT 06418
USA
E-mail: [email protected]Search for more papers by this author
Lauren Liberti MS

Lauren Liberti MS

Senior Research Associate,

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Kerem Shuval MPH PhD

Kerem Shuval MPH PhD

Senior Research Associate,

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Veronika Northrup MPH

Veronika Northrup MPH

Data Analyst,

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Ather Ali ND MPH

Ather Ali ND MPH

Co-Director, Yale Prevention Research Center, Derby, CT, USA

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David L. Katz MD MPH FACPM FACP

David L. Katz MD MPH FACPM FACP

Director, Yale Prevention Research Center, Derby, CT, and Associate Professor, Yale University School of Medicine, New Haven, CT, USA

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First published: 26 March 2008
Citations: 169

Abstract

Rationale, aims and objectives Utilizing information technology, such as Internet and cellphones, holds great promise in enhancing diabetic care. Yet few studies have examined the impact of cellphone technology on type 2 diabetics’ self-care. The primary aim of the study is to examine the feasibility of utilizing this technology to assist with diabetes self-care in a clinic population as well as its impact on clinical outcomes.

Methods Thirty patients with a diagnosis of type 2 diabetes at two Community Health Centers were randomized to intervention or control. Intervention patients participated in a brief intervention and received tailored daily messages via cellphone prompting them to enhance their diabetic self-care behaviour. Patients at the control site continued with their standard diabetes self-management.

Results A mean improvement in HbA1c levels was apparent (−0.1, SD = 0.3%; P = 0.1534) in the intervention group, compared with a mean deterioration in the control (0.3, SD = 1.0%; P = 0.3813), yet without statistical significance. Self-efficacy scores improved significantly in the intervention group (−0.5, SD = 0.6; P = 0.0080) compared with no improvement in the control (0.0, SD = 1.0; P = 0.9060). Participants encountered numerous technological barriers when attempting to adhere to the intervention protocol.

Conclusion The results indicate the intervention had a positive impact on some clinical outcome and self-efficacy. Although the technology appears feasible in a clinical setting technology must be made more user-friendly before a larger phase II trial is conducted.

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