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Published Online: 27 February 2014

Effect of Home Telemonitoring on Glycemic and Blood Pressure Control in Primary Care Clinic Patients with Diabetes

Publication: Telemedicine and e-Health
Volume 20, Issue Number 3

Abstract

Objective: Patient self-management support may be augmented by using home-based technologies that generate data points that providers can potentially use to make more timely changes in the patients' care. The purpose of this study was to evaluate the effectiveness of short-term targeted use of remote data transmission on treatment outcomes in patients with diabetes who had either out-of-range hemoglobin A1c (A1c) and/or blood pressure (BP) measurements. Materials and Methods: A single-center randomized controlled clinical trial design compared in-home monitoring (n=55) and usual care (n=53) in patients with type 2 diabetes and hypertension being treated in primary care clinics. Primary outcomes were A1c and systolic BP after a 12-week intervention. Results: There were no significant differences between the intervention and control groups on either A1c or systolic BP following the intervention. Conclusions: The addition of technology alone is unlikely to lead to improvements in outcomes. Practices need to be selective in their use of telemonitoring with patients, limiting it to patients who have motivation or a significant change in care, such as starting insulin. Attention to the need for effective and responsive clinic processes to optimize the use of the additional data is also important when implementing these types of technology.

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Information & Authors

Information

Published In

cover image Telemedicine and e-Health
Telemedicine and e-Health
Volume 20Issue Number 3March 2014
Pages: 199 - 205
PubMed: 24404819

History

Published in print: March 2014
Published online: 27 February 2014
Published ahead of print: 3 January 2014
Accepted: 5 July 2013
Revision received: 3 July 2013
Received: 22 April 2013

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Authors

Affiliations

Bonnie J. Wakefield
Iowa City Veterans Administration Medical Center, Iowa City, Iowa.
Sinclair School of Nursing, University of Missouri—Columbia, Columbia, Missouri.
Richelle J. Koopman
Department of Family Medicine, University of Missouri, Columbia, Missouri.
Lynn E. Keplinger
Ambulatory Care Service, Durham Veterans Administration Healthcare System, Durham, North Carolina.
Marilee Bomar
Department of Family Medicine, University of Missouri, Columbia, Missouri.
Beth Bernt
Department of Internal Medicine, University of Missouri, Columbia, Missouri.
Jennifer L. Johanning
Washington University School of Medicine, St. Louis, Missouri.
Robin L. Kruse
Department of Family Medicine, University of Missouri, Columbia, Missouri.
J. Wade Davis
Department of Health Management & Informatics, University of Missouri, Columbia, Missouri.
Department of Statistics, University of Missouri, Columbia, Missouri.
Douglas S. Wakefield
Department of Health Management & Informatics, University of Missouri, Columbia, Missouri.
Center for Healthcare Quality, University of Missouri, Columbia, Missouri.
David R. Mehr
Department of Family Medicine, University of Missouri, Columbia, Missouri.

Notes

The content of this article is solely the responsibility of the authors and does not necessarily represent the position or policy of the Agency for Healthcare Research and Quality, the Department of Veterans Affairs, or the U.S. Government.
This study is registered at ClinicalTrials.gov with clinical trial identifier number NCT00802152.
Address correspondence to:Bonnie J. Wakefield, PhD, RNSinclair School of NursingUniversity of Missouri—ColumbiaColumbia, MO 65212E-mail: [email protected]

Disclosure Statement

No competing financial interests exist.

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