Evidence map›Paper›PMID 22014122›Full record

Trial reportTrials2011

Effectiveness of technology-assisted case management in low income adults with type 2 diabetes (TACM-DM): study protocol for a randomized controlled trial.

Leonard E Egede, Joni L Strom, Jyotika Fernandes, Rebecca G Knapp, Adebola Rojugbokan

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

Trial report in Trials, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01373489 (Effectiveness of Technology-Assisted Case Management in Low Income Adults With Type 2 Diabetes), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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.

NCT01373489 nacompletednot on this map

Effectiveness of Technology-Assisted Case Management in Low Income Adults With Type 2 Diabetes

TypeinterventionalSponsorState University of New York at BuffaloRan2011 to 2016Enrolled113ConditionsDiabetesArmsTechnology-Assisted Case Management
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Telemonitoring: use in the management of hypertension.Vascular health and risk management · 2014
    Review
  12. 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

5 authors at 2 institutions in 1 country.

Leonard E EgedeCenter for Disease Prevention and Health Interventions for Diverse Populations, Ralph H, Johnson Veterans Affairs Medical Center, 109 Bee Street, Charleston, South Carolina 29401, USA. egedel@musc.edu
Joni L Strom
Jyotika Fernandes
Rebecca G Knapp
Adebola Rojugbokan
Medical University of South Carolina · USRalph H. Johnson VA Medical Center · US

Funding

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 K24 DK093699
6 · The paper itself

Abstract

backgroundAn estimated 1 in 3 American adults will have diabetes by the year 2050. Nationally, South Carolina ranks 10th in cases of diagnosed diabetes compared to other states. In adults, type 2 diabetes (T2DM) accounts for approximately 90-95% of all diagnosed cases of diabetes. Clinically, provider and health system factors account for < 10% of the variance in major diabetes outcomes including hemoglobin A1c (HbA1c), lipid control, and resource use. Use of telemonitoring systems offer new opportunities to support patients with T2DM while waiting to be seen by their health care providers at actual office visits. A variety of interventions testing the efficacy of telemedicine interventions have been conducted, but the outcomes have yielded equivocal results, emphasizing the shortage of controlled, randomized trials in this area. This study provides a unique opportunity to address this gap in the literature by optimizing two strategies that have been shown to improve glycemic control, while simultaneously implementing clinical outcomes measures, using a sufficient sample size, and offering health care delivery to rural, underserved and low income communities with T2DM who are seen at Federally Qualified Health Centers (FQHCs) in coastal South Carolina.

methodsWe describe a four-year prospective, randomized clinical trial, which will test the effectiveness of technology-assisted case management in low income rural adults with T2DM. Two-hundred (200) male and female participants, 18 years of age or older and with an HbA1c ≥ 8%, will be randomized into one of two groups: (1) an intervention arm employing the innovative FORA system coupled with nurse case management or (2) a usual care group. Participants will be followed for 6-months to ascertain the effect of the interventions on glycemic control. Our primary hypothesis is that among indigent, rural adult patients with T2DM treated in FQHC's, participants randomized to the technology-assisted case management intervention will have significantly greater reduction in HbA1c at 6 months of follow-up compared to usual care. DISCUSSION: Results from this study will provide important insight into the effectiveness of technology-assisted case management intervention (TACM) for optimizing diabetes care in indigent, rural adult patients with T2DM treated in FQHC's.

trial registrationNational Institutes of Health Clinical Trials Registry (http://ClinicalTrials.gov identifier# NCT01373489.

Indexed as

Case ManagementClinical ProtocolsAdultBlood GlucoseBlood PressureDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansMaleProspective StudiesBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID22014122
PMCPMC3219699
OpenAlexW2172196372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.