Evidence map›Paper›PMID 28379397›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2017

Do health information technology self-management interventions improve glycemic control in medically underserved adults with diabetes? A systematic review and meta-analysis.

Elizabeth M Heitkemper, Lena Mamykina, Jasmine Travers, Arlene Smaldone

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 12 pooled it
8.1field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 12 syntheses or guidelines pooled it, 132 citations in OpenAlex.

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  4. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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  13. Trial
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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 2 institutions in 1 country.

Elizabeth M HeitkemperSchool of Nursing, Columbia University Medical Center, New York, NY, USA.
Lena MamykinaDepartment of Biomedical Informatics, Columbia University Medical Center.
Jasmine TraversSchool of Nursing, University of Pennsylvania, Philadelphia, PA, USA.
Arlene SmaldoneSchool of Nursing, Columbia University Medical Center, New York, NY, USA.
Columbia University Irving Medical Center · USUniversity of Pennsylvania · US

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Individualized Care for At Risk Older AdultsT32NR009356 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Lauren M Massimo, MARY D NAYLOR · 2007 to 2026
$7.8M
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 NR007969NINR NIH HHS T32 NR009356
6 · The paper itself

Abstract

objectiveThe purpose of this systematic review and meta-analysis was to examine the effect of health information technology (HIT) diabetes self-management education (DSME) interventions on glycemic control in medically underserved patients. MATERIALS AND

methodsFollowing an a priori protocol, 5 databases were searched. Studies were appraised for quality using the Cochrane Risk of Bias assessment. Studies reporting either hemoglobin A1c pre- and post-intervention or its change at 6 or 12 months were eligible for inclusion in the meta-analysis using random effects models.

resultsThirteen studies met the criteria for the systematic review and 10 for the meta-analysis and represent data from 3257 adults with diabetes (mean age 55 years; 66% female; 74% racial/ethnic minorities). Most studies ( n  = 10) reflected an unclear risk of bias. Interventions varied by HIT type: computer software without Internet ( n  = 2), cellular/automated telephone ( n  = 4), Internet-based ( n  = 4), and telemedicine/telehealth ( n  = 3). Pooled A1c decreases were found at 6 months (-0.36 (95% CI, -0.53 and -0.19]; I 2  = 35.1%, Q  = 5.0), with diminishing effect at 12 months (-0.27 [95% CI, -0.49 and -0.04]; I 2  = 42.4%, Q  = 10.4). DISCUSSION: Findings suggest that medically underserved patients with diabetes achieve glycemic benefit following HIT DSME interventions, with dissipating but significant effects at 12 months. Telemedicine/telehealth interventions were the most successful HIT type because they incorporated interaction with educators similar to in-person DSME.

conclusionThese results are similar to in-person DSME in medically underserved patients, showing that well-designed HIT DSME has the potential to increase access and improve outcomes for this vulnerable group.

Indexed as

Medical InformaticsPatient Education as TopicSelf-ManagementDiabetes MellitusFemaleGlycated HemoglobinHumansMaleGlycated Hemoglobinhemoglobin A1c protein, humanhealth information technologymedically underserved/health disparitiesmeta-analysisself-managementtype 2 diabetes

Identifiers

PMID28379397
PMCPMC6080842
OpenAlexW2604408715

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.