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Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project

Rationale and Design

Steven Shea, MD, Justin Starren, MD, PhD, Ruth S. Weinstock, MD, PhD, Paul E. Knudson, MD, Jeanne Teresi, EdD, PhD, Douglas Holmes, PhD, Walter Palmas, MD, Lesley Field, RN, MSN, Robin Goland, MD, Catherine Tuck, MD, George Hripcsak, MD, Linnea Capps, MD and David Liss

Affiliations of the authors: Columbia University, New York, New York (SS, JS, JT, WP, LF, RG, CT, GH); State University of New York (SUNY) Upstate Medical University, Syracuse, New York (RSW); Department of Veterans Affairs Medical Center, Syracuse, New York (PEK); Hebrew Home for the Aged at Riverdale, Bronx, New York (JT, DH); Harlem Hospital Center, New York, New York (LC); New York Presbyterian Hospital, New York, New York (DL).

Correspondence and reprints: Steven Shea, MD, Division of General Medicine, 622 W. 168th Street, New York, NY 10032; e-mail: <ss35{at}columbia.edu>.

Received for publication: 05/15/01; accepted for publication: 10/09/01.

The Columbia University Informatics for Diabetes Education and Telemedicine (IDEATel) Project is a four-year demonstration project funded by the Centers for Medicare and Medicaid Services with the overall goals of evaluating the feasibility, acceptability, effectiveness, and cost-effectiveness of telemedicine in the management of older patients with diabetes. The study is designed as a randomized controlled trial and is being conducted by a state-wide consortium in New York. Eligibility requires that participants have diabetes, are Medicare beneficiaries, and reside in federally designated medically underserved areas. A total of 1,500 participants will be randomized, half in New York City and half in other areas of the state. Intervention participants receive a home telemedicine unit that provides synchronous videoconferencing with a project-based nurse, electronic transmission of home fingerstick glucose and blood pressure data, and Web access to a project Web site. End points include glycosylated hemoglobin, blood pressure, and lipid levels; patient satisfaction; health care service utilization; and costs. The project is intended to provide data to help inform regulatory and reimbursement policies for electronically delivered health care services.

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