The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Rationale and Design
Abstract
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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Citations
Cites
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“New reimbursement models and easy connectivity via the Internet have stimulated investment in information systems that directly influence patient behavior,”
Cited by
Interactive Health Communication Applications for people with chronic disease
Murray, E., Burns, J., See Tai, S., Lai, R., & Nazareth, I. (2005) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004274.pub4 · Cited by 722
Costs and benefits of health information technology.
Shekelle, P. G., Morton, S. C., & Keeler, E. B. (2006) · doi:10.23970/ahrqepcerta132 · Cited by 501
Bridging the Digital Divide: Reaching Vulnerable Populations
Chang, B. L., Bakken, S., Brown, S. S., Houston, T. K., Kreps, G. L., Kukafka, R., Safran, C., & Stavri, P. Z. (2004) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1535 · Cited by 313
Usability in the real world: assessing medical information technologies in patients’ homes
Kaufman, D. R., Patel, V. L., Hilliman, C., Morin, P. C., Pevzner, J., Weinstock, R. S., Goland, R., Shea, S., & Starren, J. (2003) · Journal of Biomedical Informatics · doi:10.1016/s1532-0464(03)00056-x · Cited by 254
Self-citationHome telehealth reduces healthcare costs
Noel, H. C., Vogel, D. C., Erdos, J. J., Cornwall, D., & Levin, F. (2004) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2004.10.170 · Cited by 258
Metadata
- Authors
- Shea, S., Starren, J., Weinstock, R. S., Knudson, P. E., Teresi, J., Holmes, D., Palmas, W., Field, L., Goland, R., Tuck, C., Hripcsak, G., Capps, L., & Liss, D.
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-01-01
- Volume
- 9
- Issue
- 1
- Pages
- 49-62
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- OpenAlex
- W92663610
- Cited by
- 167
- References
- 11
- FWCI
- 14.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Rationale and Design. https://app.cochat.ai/papers/10.1136/jamia.2002.0090049
- The paper
- Shea, S., Starren, J., Weinstock, R. S., Knudson, P. E., Teresi, J., Holmes, D., Palmas, W., Field, L., Goland, R., Tuck, C., Hripcsak, G., Capps, L., & Liss, D. (2002). Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: Rationale and Design. Journal of the American Medical Informatics Association. https://doi.org/10.1136/jamia.2002.0090049
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
