Evidence map›Paper›PMID 27595710›Full record

Trial reportJournal of diabetes science and technology2017

The MEssaging for Diabetes Intervention Reduced Barriers to Medication Adherence Among Low-Income, Diverse Adults With Type 2.

Lindsay S Mayberry, Shelagh A Mulvaney, Kevin B Johnson, Chandra Y Osborn

Abstract readClinical Trial
In one paragraph

Trial report in Journal of diabetes science and technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Disparities in Text Messaging Interventions to Improve Diabetes Management in the United States.Diabetes spectrum : a publication of the American Diabetes Association · 2021
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  16. Making Inroads in Addressing Population Health in Underserved Communities With Type 2 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2019
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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.

Lindsay S Mayberry1 Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Shelagh A Mulvaney3 Center for Diabetes Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Kevin B Johnson5 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Chandra Y Osborn1 Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

Vanderbilt Center for Diabetes Translation ResearchP30DK092986 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHLUNDT, DAVID G · 2011 to 2020
$6.7M
Improving Medication Adherence among Underserved Patients with Type 2 DiabetesR01DK100694 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MAYBERRY, LINDSAY S. · 2014 to 2018
$3.3M
Leveraging Patient Portals to Improve Medication Adherence in Type 2 DiabetesK01DK087894 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OSBORN, CHANDRA Y. · 2011 to 2015
$710k
Targeting Family Behaviors to Improve Diabetes Management among Adults with Type 2 DiabetesK01DK106306 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MAYBERRY, LINDSAY S. · 2015 to 2018
$568k
NIDDK NIH HHS K01 DK087894NIDDK NIH HHS K01 DK106306NIDDK NIH HHS P30 DK092986NIDDK NIH HHS R01 DK100694
6 · The paper itself

Abstract

backgroundNonadherence to diabetes medication is prevalent and costly. MEssaging for Diabetes (MED), a mobile health (mHealth) intervention, identified and addressed user-specific barriers to medication adherence. We assessed whether MED reduced users' targeted barriers and if barrier reductions were associated with within-participant improvements in adherence or glycemic control (HbA1c).

methodsAdults (N = 80) with type 2 diabetes completed self-report measures identifying barriers to adherence at baseline and monthly for 3 months. At each assessment, 17 barriers were assessed and ranked for each user. Each subsequent month, users received daily text messages addressing their 3 highest ranked barriers. Targeted barriers were different for each participant and could change monthly. Paired t-tests assessed within-participant improvement in targeted barriers each month, and nested regression models assessed if changes in a participant's barrier scores were associated with improvements in adherence and HbA1c.

resultsParticipants were 69% non-white and 82% had incomes <$25K. Average HbA1c was 8.2 ± 2.0%. Assessment completion rates were 100% at baseline, 59% at 1 month, 30% at 2 months, and 65% at 3 months. The most commonly reported barriers were the cost of medications (76%), believing medications are harmful (58%), and lacking information about medications (53%). Participants' barrier scores improved each month and barrier improvement predicted adherence assessed via nightly adherence assessment text messages ( P < .001). Among participants who completed assessments each month, barrier improvement in months 2 and 3 ( P < .05) predicted HbA1c improvement.

conclusionsIterative, individual tailoring may overcome users' barriers to adherence. Attrition is a challenge for mHealth interventions among low-income patients.

Indexed as

Health Knowledge, Attitudes, PracticeMedication AdherenceText MessagingAdultCell PhoneDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHypoglycemic AgentsMaleMiddle AgedPovertyReminder SystemsGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic Agentsinterventionmedication adherencemHealthmobile phonetext messagetype 2 diabetes

Identifiers

PMID27595710
PMCPMC5375078

What OpenQuestion holds

Textmetadata
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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.