Evidence map›Paper›PMID 25425504›Full record

Trial reportTrials2014

Technology-Intensified Diabetes Education Study (TIDES) in African Americans with type 2 diabetes: study protocol for a randomized controlled trial.

Joni S Williams, Cheryl P Lynch, Rebecca G Knapp, Leonard E Egede

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02088658 (Technology Intensified Diabetes Education Study in African Americans With Type 2 Diabetes), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 28% 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.

NCT02088658 nacompletednot on this map

Technology Intensified Diabetes Education Study in African Americans With Type 2 Diabetes

TypeinterventionalSponsorState University of New York at BuffaloRan2013 to 2026Enrolled200ConditionsDiabetes Mellitus, Type 2, Diabetes Mellitus, Adult-Onset, Diabetes Mellitus, Non-Insulin-Dependent, Diabetes Mellitus, Noninsulin DependentArmsTechnology Intensified
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Joni S Williams
Cheryl P Lynch
Rebecca G Knapp
Leonard E EgedeDivision of General Internal Medicine & Geriatrics, Medical University of South Carolina, 135 Rutledge Avenue, Charleston, SC 29425, USA. Egedel@musc.edu.
Medical University of South Carolina · US

Funding

Technology-Intensified Diabetes Education/Skills Intervention in AAs with DM-2R01DK098529 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2013 to 2016
$2.7M
Technology Intensified Diabetes Education Study in AA with T2DM (TIDES)K24DK093699 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2011 to 2020
$1.5M
NIDDK NIH HHS #K24DK093699NIDDK NIH HHS K24 DK093699NIDDK NIH HHS #R01DK098529NIDDK NIH HHS R01 DK098529
6 · The paper itself

Abstract

backgroundCompared to American Whites, African Americans have a higher prevalence of type 2 diabetes mellitus (T2DM), experiencing poorer metabolic control and greater risks for complications and death. Patient-level factors, such as diabetes knowledge, self-management skills, empowerment, and perceived control, account for >90% of the variance observed in outcomes between these racial groups. There is strong evidence that self-management interventions that include telephone-delivered diabetes education and skills training are effective at improving metabolic control in diabetes. Web-based home telemonitoring systems in conjunction with active care management are also effective ways to lower glycosylated hemoglobin A1c values when compared to standard care, and provide feedback to patients; however, there are no studies in African Americans with poorly controlled T2DM that examine the use of technology-based feedback to tailor or augment diabetes education and skills training. This study provides a unique opportunity to address this gap in the literature.

methodsWe describe an ongoing 4-year randomized clinical trial, which will test the efficacy of a technology-intensified diabetes education and skills training (TIDES) intervention in African Americans with poorly controlled T2DM. Two hundred male and female AfricanAmerican participants, 21 years of age or older and with a glycosylated hemoglobin A1c level ≥ 8%, will be randomized into one of two groups for 12 weeks of telephone interventions: (1) TIDES intervention group or (2) a usual-care group. Participants will be followed for 12 months to ascertain the effect of the interventions on glycemic control. Our primary hypothesis is that, among African Americans with poorly controlled T2DM, patients randomized to the TIDES intervention will have significantly greater reduction in glycosylated hemoglobin A1c at 12 months of follow-up compared to the usual-care group. DISCUSSION: Results from this study will add to the current literature examining how best to deliver diabetes education and skills training and provide important insight into effective strategies to improve metabolic control and hence reduce diabetes complications and mortality rates in African Americans with poorly controlled T2DM.

trial registrationThis study was registered with the National Institutes of Health Clinical Trials Registry on 13 March 2014 (ClinicalTrials.gov identifier# NCT02088658).

Indexed as

Research DesignAdultBiomarkersBlack or African AmericanBlood PressureClinical ProtocolsDiabetes Mellitus, Type 2Feedback, PhysiologicalFemaleGlycated HemoglobinHealth BehaviorHealth Knowledge, Attitudes, PracticeHumansMaleMotivationPamphletsBiomarkersGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID25425504
PMCPMC4289359
OpenAlexW2138208367

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.