title: The effects of redesigning the IDEATel architecture on glucose uploads.
abstract: The objective of this evaluation was to determine the effect of redesigning the Informatics for Diabetes Education and Telemedicine (IDEATel) telemedicine architecture on the average upload delay and on the average number of glucose uploads to a central database. These two measures positively influence our ability to deliver timely and accurate patient care to the study population. The redesign was also undertaken to improve the patients' experience in using the system and thereby increase the frequency and timeliness of their self-monitoring behavior. Using the total number of glucose uploads, we compared the delay in glucose upload times according to the type of home telemedicine unit the study participants used and the region where the participants lived. The participants were Medicare beneficiaries with diabetes living in medically underserved neighborhoods in New York City and rural Upstate New York. The populations in these two regions differed considerably in terms of ethnicity, language spoken (Spanish, English), and education level. Participants who had Generation 2 (Gen 2) (mean = 10.75, SD +/- 7.96) home telemedicine units had significantly shorter upload delay times (p < 0.001) as measured in days than those participants with Generation 1 (Gen 1) (mean = 22.44, SD +/- 11.18) and those who were upgraded from Gen 1 (mean = 20.67, SD +/- 8.85) to Gen 2 (mean = 14.93, SD +/- 9.37). Additionally, the delay was significantly shorter for participants living upstate (mean = 24.14 days, SD +/- 11.95 days) than downstate (mean = 15.30 days, SD +/- 7.87 days), t (975) = 13.98, p < 0.01. The system redesign made a significant impact in reducing glucose upload delays of IDEATel participants. However, upload delays were significantly impacted by the region where the participants resided.
authors.affiliation: Department of Biomedical Informatics, New York-Presbyterian Hospital, The University Hospital of Columbia and Cornell, New York, New York, USA.
authors.forename: Charlyn A
authors.initials: CA
authors.lastname: Hilliman
authors.forename: James J
authors.initials: JJ
authors.lastname: Cimino
authors.forename: Albert M
authors.initials: AM
authors.lastname: Lai
authors.forename: David R
authors.initials: DR
authors.lastname: Kaufman
authors.forename: Justin B
authors.initials: JB
authors.lastname: Starren
authors.forename: Steven
authors.initials: S
authors.lastname: Shea
mesh_terms: D015190:Blood Glucose Self-Monitoring / Q000295:instrumentation*; D003199:Computer Systems; D003920:Diabetes Mellitus / Q000097:blood*; D004867:Equipment Design; D006801:Humans; D008507:Medically Underserved Area; D009518:New York; D017216:Telemedicine / Q000295:instrumentation*; D013686:Telemetry / Q000295:instrumentation*; D013997:Time Factors; D014584:User-Computer Interface