Evidence map›Paper›PMID 18528511›Full record

Trial reportTransactions of the American Clinical and Climatological Association2007

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

Steven Shea, IDEATel Consortium

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Transactions of the American Clinical and Climatological Association, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Data model for personalized patient health guidelines: an exploratory study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014
    Article
  11. Diabetes self-management education: miles to go.Nursing research and practice · 2013
    Article
  12. Using telehealth to provide diabetes care to patients in rural Montana: findings from the promoting realistic individual self-management program.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2011
    Article
  13. An e-health solution for people with alcohol problems.Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism · 2011
    Review
  14. Review
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Steven SheaDepartment of Medicine, Columbia University, New York, NY, USA. ss35@columbia.edu
IDEATel Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

TelemedicineAgedAged, 80 and overBlood PressureCase ManagementCholesterol, LDLDiabetes MellitusEndpoint DeterminationFemaleGlycated HemoglobinHumansMaleMedical InformaticsMedicareMiddle AgedNew YorkCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID18528511
PMCPMC1863578

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.