Evidence map›Paper›PMID 23488491›Full record

Trial reportAmerican journal of public health2013

Social impact analysis of the effects of a telemedicine intervention to improve diabetes outcomes in an ethnically diverse, medically underserved population: findings from the IDEATel Study.

Steven Shea, Dhruva Kothari, Jeanne A Teresi, Jian Kong, Joseph P Eimicke, Rafael A Lantigua, Walter Palmas, Ruth S Weinstock

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 6 pooled it
6.7field-weighted citation impact, top 4% of its field
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

18 citing papers in PubMed, 6 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Article
  9. Review
  10. Similarities and Differences Between Rural and Urban Telemedicine Utilization.Perspectives in health information managemen · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. The empirical evidence for the telemedicine intervention in diabetes management.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2015
    Review
  16. Article
  17. Patient perspectives of telemedicine quality.Patient preference and adherence · 2015
    Article
  18. 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

8 authors at 1 institution in 1 country.

Steven SheaSteven Shea, Rafael A. Lantigua, and Walter Palmas are with the Department of Medicine, Columbia University, New York, NY. At the time of this study, Dhruva Kothari was with the College of Physicians & Surgeons, Columbia University. Jeanne A. Teresi, Jian Kong, and Joseph P. Eimicke are with the Research Division of the Hebrew Home at Riverdale, Bronx, NY. Jeanne A. Teresi is also with the Morris W. Stroud, III, Center for Studies on Quality of Life, Columbia University. Ruth S. Weinstock is with Joslin Diabetes Center and Division of Endocrinology, Diabetes and Metabolism, SUNY Upstate Medical University, Syracuse, NY.
Dhruva Kothari
Jeanne A Teresi
Jian Kong
Joseph P Eimicke
Rafael A Lantigua
Walter Palmas
Ruth S Weinstock
Columbia University · US

Funding

RESEARCH COREP60MD000206 · NIMHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LUCHSINGER, JOSE ALEJANDRO · 2003 to 2012
$16.2M
NIMHD NIH HHS P60 MD000206NIMHD NIH HHS P60-MD000206
6 · The paper itself

Abstract

objectivesWe examined the social impact of the telemedicine intervention effects in lower- and higher-socioeconomic status (SES) participants in the Informatics for Diabetes Education and Telemedicine (IDEATel) study.

methodsWe conducted a randomized controlled trial comparing telemedicine case management with usual care, with blinded outcome evaluation, in 1665 Medicare recipients with diabetes, aged 55 years or older, residing in federally designated medically underserved areas of New York State. The primary trial endpoints were hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol, and systolic blood pressure levels.

resultsHbA1c was higher in lower-income participants at the baseline examination. However, we found no evidence that the intervention increased disparities. A significant moderator effect was seen for HbA1c (P = .004) and systolic blood pressure (P = .023), with the lowest-income group showing greater intervention effects.

conclusionsLower-SES participants in the IDEATel study benefited at least as much as higher-SES participants from telemedicine nurse case management for diabetes. Tailoring the intensity of the intervention based on clinical need may have led to greater improvements among those not at goal for diabetes control, a group that also had lower income, thereby avoiding the potential for an innovative intervention to widen socioeconomic disparities.

Indexed as

EthnicityMedically Underserved AreaQuality ImprovementSocial ClassTelemedicineAgedDiabetes MellitusEndpoint DeterminationFemaleHumansMaleMiddle AgedNew YorkTreatment Outcome

Identifiers

PMID23488491
PMCPMC3780722
OpenAlexW2003915261

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.