Literature DB >> 18373577

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

Zubaida Faridi1, Lauren Liberti, Kerem Shuval, Veronika Northrup, Ather Ali, David L Katz.   

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.

Entities:  

Mesh:

Year:  2008        PMID: 18373577     DOI: 10.1111/j.1365-2753.2007.00881.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  74 in total

Review 1.  Mobile intervention design in diabetes: review and recommendations.

Authors:  Shelagh A Mulvaney; Lee M Ritterband; Lindsay Bosslet
Journal:  Curr Diab Rep       Date:  2011-12       Impact factor: 4.810

Review 2.  Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association.

Authors:  Lora E Burke; Jun Ma; Kristen M J Azar; Gary G Bennett; Eric D Peterson; Yaguang Zheng; William Riley; Janna Stephens; Svati H Shah; Brian Suffoletto; Tanya N Turan; Bonnie Spring; Julia Steinberger; Charlene C Quinn
Journal:  Circulation       Date:  2015-08-13       Impact factor: 29.690

Review 3.  Patient web portals to improve diabetes outcomes: a systematic review.

Authors:  Chandra Y Osborn; Lindsay Satterwhite Mayberry; Shelagh A Mulvaney; Rachel Hess
Journal:  Curr Diab Rep       Date:  2010-12       Impact factor: 4.810

4.  Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size.

Authors:  Christina D Lee; Junghoon Chae; TusaRebecca E Schap; Deborah A Kerr; Edward J Delp; David S Ebert; Carol J Boushey
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

5.  Diabetes and Technology for Increased Activity (DaTA) study: results of a remote monitoring intervention for prevention of metabolic syndrome.

Authors:  Melanie Stuckey; Elizabeth Russell-Minda; Emily Read; Claudio Munoz; Kevin Shoemaker; Peter Kleinstiver; Robert Petrella
Journal:  J Diabetes Sci Technol       Date:  2011-07-01

6.  Remote monitoring technologies for the prevention of metabolic syndrome: the Diabetes and Technology for Increased Activity (DaTA) study.

Authors:  Melanie Stuckey; Robyn Fulkerson; Emily Read; Elizabeth Russell-Minda; Claudio Munoz; Peter Kleinstiver; Robert Petrella
Journal:  J Diabetes Sci Technol       Date:  2011-07-01

Review 7.  Healthcare in the pocket: mapping the space of mobile-phone health interventions.

Authors:  Predrag Klasnja; Wanda Pratt
Journal:  J Biomed Inform       Date:  2011-09-09       Impact factor: 6.317

8.  An Analysis of Diabetes Mobile Applications Features Compared to AADE7™: Addressing Self-Management Behaviors in People With Diabetes.

Authors:  Qing Ye; Uzma Khan; Suzanne A Boren; Eduardo J Simoes; Min Soon Kim
Journal:  J Diabetes Sci Technol       Date:  2018-02-01

9.  Optimizing mHealth Technologies in Real-World Clinical Practices.

Authors:  Pablo Mora; William C Biggs; Christopher G Parkin
Journal:  Clin Diabetes       Date:  2019-07

Review 10.  The impact of mobile monitoring technologies on glycosylated hemoglobin in diabetes: a systematic review.

Authors:  Justine Baron; Hayley McBain; Stanton Newman
Journal:  J Diabetes Sci Technol       Date:  2012-09-01
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