Evidence map›Paper›PMID 26186935›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes.

Lyndsay A Nelson, Shelagh A Mulvaney, Tebeb Gebretsadik, Yun-Xian Ho, Kevin B Johnson, Chandra Y Osborn

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03034993 (Improving Self-Management of Chronic Conditions Among Homeless Persons), which is not on this map. Cited by 60 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 8 pooled it
20.7field-weighted citation impact, top 1% 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.

NCT03034993 nacompletednot on this mapstarted 2017, after this paper: background citation

Improving Self-Management of Chronic Conditions Among Homeless Persons: a Community-Based Participatory Approach Using Text Messaging

TypeinterventionalSponsorBoston UniversityRan2017 to 2019Enrolled64ConditionsChronic DiseaseArmsText Messaging
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 8 syntheses or guidelines pooled it, 106 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Lyndsay A NelsonDepartment of Medicine, Vanderbilt University, Nashville, TN, USA Center for Health Behavior and Health Education, Vanderbilt University, Nashville, TN, USA.
Shelagh A MulvaneySchool of Nursing, Vanderbilt University, Nashville, TN, USA Center for Diabetes Translational Research, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA Department of Pediatrics, Vanderbilt University, Nashville, TN, USA.
Tebeb GebretsadikDepartment of Biostatistics, Vanderbilt University, Nashville, TN, USA.
Yun-Xian HoDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
Kevin B JohnsonDepartment of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA Department of Pediatrics, Vanderbilt University, Nashville, TN, USA.
Chandra Y OsbornDepartment of Medicine, Vanderbilt University, Nashville, TN, USA Center for Health Behavior and Health Education, Vanderbilt University, Nashville, TN, USA Center for Diabetes Translational Research, Vanderbilt University, Nashville, TN, USA Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA chandra.osborn@vanderbilt.edu.
Vanderbilt University · US

Funding

Vanderbilt Center for Diabetes Translation ResearchP30DK092986 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ELASY, TOM A · 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
NIDDK NIH HHS K01DK087894NIDDK NIH HHS P30 DK092986NIDDK NIH HHS P30DK092986NIDDK NIH HHS R01 DK100694NIDDK NIH HHS R01DK100694-01A1
6 · The paper itself

Abstract

objectiveMobile health (mHealth) interventions may improve diabetes outcomes, but require engagement. Little is known about what factors impede engagement, so the authors examined the relationship between patient factors and engagement in an mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes (T2DM). MATERIALS AND

methodsEighty patients with T2DM participated in a 3-month mHealth intervention called MEssaging for Diabetes that leveraged a mobile communications platform. Participants received daily text messages addressing and assessing medication adherence, and weekly interactive automated calls with adherence feedback and questions for problem solving. Longitudinal repeated measures analyses assessed the relationship between participants' baseline characteristics and the probability of engaging with texts and calls.

resultsOn average, participants responded to 84.0% of texts and participated in 57.1% of calls. Compared to Whites, non-Whites had a 63% decreased relative odds (adjusted odds ratio [AOR] = 0.37, 95% confidence interval [CI], 0.19-0.73) of participating in calls. In addition, lower health literacy was associated with a decreased odds of participating in calls (AOR = 0.67, 95% CI, 0.46-0.99, P = .04), whereas older age (Pnonlinear = .01) and more depressive symptoms (AOR = 0.62, 95% CI, 0.38-1.02, P = .059) trended toward a decreased odds of responding to texts.

conclusionsRacial/ethnic minorities, older adults, and persons with lower health literacy or more depressive symptoms appeared to be the least engaged in a mHealth intervention. To facilitate equitable intervention impact, future research should identify and address factors interfering with mHealth engagement.

Indexed as

Medication AdherenceText MessagingAdultAge FactorsDiabetes Mellitus, Type 2FemaleHumansIncomeMaleMiddle AgedTelemedicinedisparitiesmedication adherencemHealthpatient engagementtype 2 diabetes mellitus

Identifiers

PMID26186935
PMCPMC5009937
OpenAlexW1917802552

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.