Evidence map›Paper›PMID 37338130›Full record

Trial reportJournal of diabetes science and technology2023

Examining a Diabetes Self-Management Education and Support Telemedicine Model With High-Risk Patients in a Rural Community.

Linda Siminerio, Jodi Krall, Patricia Johnson, Kristine Ruppert, Rawan Hammoudeh, Archana Bandi, Jason M Ng

Registry-linked trialOpen access · greenAbstract readClinical Trial
In one paragraph

Trial report in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04107935 (Telemedicine for Reach, Education, Access and Treatment-ongoing), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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.

NCT04107935 naterminatednot on this map

Telemedicine for Reach, Education, Access and Treatment-ongoing

TypeinterventionalSponsorUniversity of PittsburghRan2020 to 2022Enrolled43ConditionsDiabetes MellitusArmsTREAT-ON, Usual Care
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Precision Medicine in Type 2 Diabetes Mellitus: Utility and Limitations.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
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

7 authors at 2 institutions in 1 country.

Linda SiminerioDivision of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-7748-2181
Jodi KrallUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.ORCID 0000-0002-9798-0345
Patricia JohnsonUniversity of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Kristine RuppertDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA, USA.
Rawan HammoudehDivision of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Archana BandiDivision of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Jason M NgDivision of Endocrinology and Metabolism, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · USUniversity of Pittsburgh Medical Center · US

Funding

Telemedicine for Reach, Education, Access,Treatment and Ongoing Support (TREAT-ON)R34DK123370 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIMINERIO, LINDA M · 2019 to 2020
$480k
NIDDK NIH HHS R34 DK123370
6 · The paper itself

Abstract

backgroundOngoing support is critical to diabetes self-management education and support (DSMES) effectiveness, but difficult to realize, particularly in areas with limited resources. The objective of this feasibility study was to assess the impact of a virtual support model on diabetes outcomes and acceptability with high-risk patients with type 2 diabetes in a rural community.

methodsIn a 12-month nonrandomized trial in federally qualified health centers (FQHCs), patients with hemoglobin A1c (HbA1c) >9% were referred to the Telemedicine for Reach, Education, Access, Treatment, and Ongoing Support (TREAT-ON) program where a Diabetes Care and Education Specialist provided DSMES through videoconferencing. HbA1c change was compared in 30 patients in the intervention group (IG) to a propensity score-matched retrospective control group (CG) of patients who received in-person DSMES delivered by a DCES. Changes in HbA1c, diabetes distress, empowerment, self-care and acceptability were assessed within the intervention group (IG) between those who did and did not meet self-management goals.

resultsThe IG experienced similar significant reductions in HbA1c as the CG. Most (64%) IG participants achieved their self-management goal. Goal attainers had a significant HbA1c decrease of 0.21% every 3 months as well as significant reduction in diabetes distress and improvement in general dietary intake. Regardless of goal attainment, IG participants reported high levels of acceptability with TREAT-ON.

conclusionsThis feasibility study suggests that TREAT-ON was well-received and as effective as traditional in-person DSMES. While findings augment ample evidence regarding DSMES benefits, the TREAT-ON model offers additional advantages and provides validation for telehealth to inform future practice in reaching and supporting self-management for high-risk patients in underserved areas.

trial registrationClinicaltrials.gov, # NCT04107935.

Indexed as

Diabetes Mellitus, Type 2Self-ManagementTelemedicineGlycated HemoglobinHumansRetrospective StudiesRural PopulationGlycated Hemoglobindiabetes educationself-managementtelemedicinetype 2 diabetes

Identifiers

PMID37338130
PMCPMC10563533
OpenAlexW4381309287

What OpenQuestion holds

Textmetadata
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.