Literature DB >> 18528511

The Informatics for Diabetes and Education Telemedicine (IDEATel) project.

Steven Shea1.   

Abstract

Telemedicine is a promising but largely unproven technology for providing case management services to patients with chronic conditions who experience barriers to access to care or a high burden of illness. We conducted a randomized controlled trial comparing telemedicine case management to usual care, with blinding of those obtaining outcome data, in 1,665 Medicare recipients with diabetes, aged 55 years or greater, and living in federally designated medically underserved areas of New York State. In New York City, 98% of participants were black or Hispanic, 69% were Medicaid-eligible, and 93% reported annual household income < or =$20,000. In upstate New York, 91% were white, 14% Medicaid eligible, and 50% reported annual household income < or =$20,000. A baseline survey found that 95% of participants in New York City and 67% in upstate New York reported that they did not know how to use a computer. The primary endpoints were HgbA1c, blood pressure, and low density lipoprotein (LDL) cholesterol levels. In the intervention group (N = 844), mean HgbA1c improved over 1 year from 7.35% to 6.97%, and from 8.35% to 7.42% in the subgroup with baseline HgbA1c > or =7% (N = 353). In the usual care group (N = 821), mean HgbA1c improved over 1 year from 7.42% to 7.17%. Adjusted net reductions (1-year minus baseline mean values in each group, compared between groups) favoring the intervention were as follows: HgbA1c, 0.18% (p = 0.006), systolic and diastolic blood pressure, 3.4 (p = 0.001) and 1.9 mmHg (p < 0.001), and LDL cholesterol, 9.5 mg/dl (p < 0.001). In the subgroup with baseline HgbA1c > or =7%, net adjusted reduction in HgbA1c favoring the intervention group was 0.32% (p = 0.002). Mean LDL cholesterol level in the intervention group at one year was 95.7 mg/dl. The intervention effects were similar in magnitude in the subgroups living in New York City and upstate New York. A satisfaction survey of intervention group participants (N = 346 respondents) showed high levels of satisfaction with major intervention components. A satisfaction survey of participating primary care physicians (N = 116 respondents) showed positive perceptions for acceptability, impact on patients and communication. Telemedicine case management improved glycemic control, blood pressure levels, and total and LDL-cholesterol levels at 1 year of follow-up. Telemedicine is an effective method for translating modern approaches to disease management into effective care for underserved populations.

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Year:  2007        PMID: 18528511      PMCID: PMC1863578     

Source DB:  PubMed          Journal:  Trans Am Clin Climatol Assoc        ISSN: 0065-7778


  28 in total

Review 1.  Oral antihyperglycemic therapy for type 2 diabetes: scientific review.

Authors:  Silvio E Inzucchi
Journal:  JAMA       Date:  2002-01-16       Impact factor: 56.272

2.  Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) project: technical implementation.

Authors:  Justin Starren; George Hripcsak; Soumitra Sengupta; C R Abbruscato; Paul E Knudson; Ruth S Weinstock; Steven Shea
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

3.  Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001.

Authors:  Ali H Mokdad; Earl S Ford; Barbara A Bowman; William H Dietz; Frank Vinicor; Virginia S Bales; James S Marks
Journal:  JAMA       Date:  2003-01-01       Impact factor: 56.272

4.  Columbia University's Informatics for Diabetes Education and Telemedicine (IDEATel) Project: rationale and design.

Authors:  Steven Shea; Justin Starren; Ruth S Weinstock; Paul E Knudson; Jeanne Teresi; Douglas Holmes; Walter Palmas; Lesley Field; Robin Goland; Catherine Tuck; George Hripcsak; Linnea Capps; David Liss
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

5.  How cost-effective is the treatment of dyslipidemia in patients with diabetes but without cardiovascular disease?

Authors:  S A Grover; L Coupal; H Zowall; C M Alexander; T W Weiss; D R Gomes
Journal:  Diabetes Care       Date:  2001-01       Impact factor: 19.112

6.  Telemedicine for the Medicare population: pediatric, obstetric, and clinician-indirect home interventions.

Authors:  W R Hersh; J A Wallace; P K Patterson; S E Shapiro; D F Kraemer; G M Eilers; B K Chan; M R Greenlick; M Helfand
Journal:  Evid Rep Technol Assess (Summ)       Date:  2001-08

7.  Cost-effectiveness of intensive glycemic control, intensified hypertension control, and serum cholesterol level reduction for type 2 diabetes.

Authors: 
Journal:  JAMA       Date:  2002-05-15       Impact factor: 56.272

Review 8.  Diabetes and atherosclerosis: epidemiology, pathophysiology, and management.

Authors:  Joshua A Beckman; Mark A Creager; Peter Libby
Journal:  JAMA       Date:  2002-05-15       Impact factor: 56.272

9.  Effect of intensive therapy on the microvascular complications of type 1 diabetes mellitus.

Authors: 
Journal:  JAMA       Date:  2002-05-15       Impact factor: 56.272

10.  Change in the quality of care delivered to Medicare beneficiaries, 1998-1999 to 2000-2001.

Authors:  Stephen F Jencks; Edwin D Huff; Timothy Cuerdon
Journal:  JAMA       Date:  2003-01-15       Impact factor: 56.272

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  11 in total

1.  Depression is not associated with diabetes control in minority elderly.

Authors:  Priya Palta; Sherita Hill Golden; Jeanne A Teresi; Walter Palmas; Paula Trief; Ruth S Weinstock; Steven Shea; Jennifer J Manly; Jose A Luchsinger
Journal:  J Diabetes Complications       Date:  2014-07-01       Impact factor: 2.852

2.  Using telehealth to provide diabetes care to patients in rural Montana: findings from the promoting realistic individual self-management program.

Authors:  Elizabeth Ciemins; Patricia Coon; Rory Peck; Barbara Holloway; Sung-Joon Min
Journal:  Telemed J E Health       Date:  2011-08-22       Impact factor: 3.536

3.  A meta-synthesis of behavioral outcomes from telemedicine clinical trials for type 2 diabetes and the Clinical User-Experience Evaluation (CUE).

Authors:  Sakib Jalil; Trina Myers; Ian Atkinson
Journal:  J Med Syst       Date:  2015-02-13       Impact factor: 4.460

4.  Data model for personalized patient health guidelines: an exploratory study.

Authors:  Mary McNamara; Karthik Sarma; Denise R Aberle; Alex A T Bui; Corey Arnold
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

Review 5.  Computer-mediated patient education: opportunities and challenges for supporting women with ovarian cancer.

Authors:  Phensiri Dumrongpakapakorn; Kathy Hopkins; Paula Sherwood; Kristin Zorn; Heidi Donovan
Journal:  Nurs Clin North Am       Date:  2009-09       Impact factor: 1.208

6.  Diabetes self-management education: miles to go.

Authors:  Helen Altman Klein; Sarah M Jackson; Kenley Street; James C Whitacre; Gary Klein
Journal:  Nurs Res Pract       Date:  2013-03-20

Review 7.  An e-health solution for people with alcohol problems.

Authors:  David H Gustafson; Michael G Boyle; Bret R Shaw; Andrew Isham; Fiona McTavish; Stephanie Richards; Christopher Schubert; Michael Levy; Kim Johnson
Journal:  Alcohol Res Health       Date:  2011

Review 8.  Health and wellness technology use by historically underserved health consumers: systematic review.

Authors:  Enid Montague; Jennifer Perchonok
Journal:  J Med Internet Res       Date:  2012-05-31       Impact factor: 5.428

Review 9.  Interactive telemedicine: effects on professional practice and health care outcomes.

Authors:  Gerd Flodgren; Antoine Rachas; Andrew J Farmer; Marco Inzitari; Sasha Shepperd
Journal:  Cochrane Database Syst Rev       Date:  2015-09-07

10.  The Inclusion of Ethnic Minority Patients and the Role of Language in Telehealth Trials for Type 2 Diabetes: A Systematic Review.

Authors:  Talia Isaacs; Daniel Hunt; Danielle Ward; Leila Rooshenas; Louisa Edwards
Journal:  J Med Internet Res       Date:  2016-09-26       Impact factor: 5.428

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