Evidence map›Paper›PMID 29059017›Full record

Trial reportThe Diabetes educator2017

Baseline Characteristics and Technology Training of Underserved Adults With Type 2 Diabetes in the Mobile Diabetes Detective (MoDD) Randomized Controlled Trial.

Elizabeth M Heitkemper, Lena Mamykina, Jonathan N Tobin, Andrea Cassells, Arlene Smaldone

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Diabetes educator, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. 2022 National Standards for Diabetes Self-Management Education and Support.Diabetes spectrum : a publication of the American Diabetes Association · 2022
    Article
  7. Article
  8. 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 3 institutions in 1 country.

Elizabeth M HeitkemperSchool of Nursing, Columbia University Medical Center, New York, New York (Dr Heitkemper, Dr Smaldone).
Lena MamykinaDepartment of Biomedical Informatics, Columbia University Medical Center, New York, New York (Dr Mamykina).
Jonathan N TobinCenter for Clinical and Translational Science, The Rockefeller University, New York, New York (Dr Tobin).
Andrea CassellsClinical Directors Network (CDN), Inc, New York, New York (Dr Tobin, Ms Cassells).
Arlene SmaldoneSchool of Nursing, Columbia University Medical Center, New York, New York (Dr Heitkemper, Dr Smaldone).
Columbia University Irving Medical Center · USClinical Directors Network · USRockefeller University · US

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
HIT for Facilitating Problem Solving in Diabetes ManagementR01DK090372 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M, MAMYKINA, OLENA · 2011 to 2015
$3.3M
NIDDK NIH HHS R01 DK090372NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

Purpose The purpose of this study is to describe the characteristics and technology training needs of underserved adults with type 2 diabetes mellitus (T2DM) who participated in a health information technology (HIT) diabetes self-management education (DSME) intervention. Methods The baseline physiological, psychosocial, and technology use characteristics for 220 adults with poorly controlled T2DM were evaluated. Intervention participants received a 1-time intervention training, which included basic technology help, introduction to the Mobile Diabetes Detective (MoDD) website and text message features, and account activation that included subject-specific tailoring. Four additional on-site sessions for participants needing computer or Internet access or technology support were made available based on need. Data regarding on-site visits for usual care were collected. Data were analyzed using descriptive statistics and bivariate analysis. Results The participants were predominately Hispanic and female with a baseline mean A1C of 10% (86 mmol/mol). Only half of the participants regularly used computers or text messages in daily life. The average introductory MoDD training session lasted 73.6 minutes. Following training, approximately one-third (35%) of intervention participants returned for basic and MoDD-specific technology assistance at their federally qualified health center. The most frequently reported duration for the extra training sessions was 30 to 45 minutes. Conclusions Training and support needs were greater than anticipated. Diabetes educators should assess technology abilities prior to implementing health information technology (HIT) diabetes self-management education (DSME) in underserved adults. Future research must invest resources in technology access, anticipate subject training, and develop new training approaches to ensure HIT DSME use and engagement.

Indexed as

AdultBiomedical TechnologyDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHispanic or LatinoHumansInternetMaleMiddle AgedPatient Education as TopicSelf-ManagementText MessagingVulnerable PopulationsGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID29059017
PMCPMC5759770
OpenAlexW2765987448

What OpenQuestion holds

Textmetadata
LicenceTDM
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.