Evidence map›Paper›PMID 29882677›Full record

Trial reportDiabetes technology & therapeutics2018

Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns.

Shelagh A Mulvaney, Sarah Vaala, Korey K Hood, Cindy Lybarger, Rachel Carroll, Laura Williams, Douglas C Schmidt, Kevin Johnson, Mary S Dietrich, Lori Laffel

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes technology & therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
7.3field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

10 authors at 4 institutions in 1 country.

Shelagh A Mulvaney1 School of Nursing, Vanderbilt University , Nashville, Tennessee.
Sarah Vaala1 School of Nursing, Vanderbilt University , Nashville, Tennessee.
Korey K Hood4 Department of Pediatrics, Stanford University , Palo Alto, California.
Cindy Lybarger3 Department of Pediatrics, Vanderbilt University Medical Center , Nashville, Tennessee.
Rachel Carroll1 School of Nursing, Vanderbilt University , Nashville, Tennessee.
Laura Williams1 School of Nursing, Vanderbilt University , Nashville, Tennessee.
Douglas C Schmidt5 School of Engineering, Vanderbilt University , Nashville, Tennessee.
Kevin Johnson2 Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, Tennessee.
Mary S Dietrich1 School of Nursing, Vanderbilt University , Nashville, Tennessee.
Lori Laffel7 Joslin Diabetes Center, Harvard University , Boston, Massachusetts.
Vanderbilt University · USVanderbilt University Medical Center · USHarvard University · USStanford University · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Vanderbilt Center for Diabetes Translation ResearchP30DK092986 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MILLER-HUGHES, STEPHANIA · 2011 to 2020
$6.7M
Using Social Learning to Improve Adolescent Diabetes Adherence Problem SolvingDP3DK097706 · NIDDK · VANDERBILT UNIVERSITY · PI MULVANEY, SHELAGH A · 2012 to 2012
$1.8M
NCATS NIH HHS UL1 TR000445NIDDK NIH HHS DP3 DK097706NIDDK NIH HHS P30 DK036836NIDDK NIH HHS P30 DK092986
6 · The paper itself

Abstract

backgroundIntegration of momentary contextual and psychosocial factors within self-management feedback may provide more specific, engaging, and personalized targets for problem solving.

methodsForty-four youth ages 13-19 with type 1 diabetes (T1D) were provided a Bluetooth meter and completed the 30-day protocol. Participants were randomized to "app + meter" or "meter-only" groups. App + meter participants completed mealtime and bedtime assessment each day. Assessments focused on psychosocial and contextual information relevant for self-management. Graphical feedback integrated self-monitored blood glucose (SMBG), insulin, and Bluetooth-transmitted blood glucose data with the psychosocial and contextual data. App + meter participants completed an interview to identify data patterns.

resultsThe median number of momentary assessments per participant was 80.0 (range 32-120) with 2.60 per day. By 2 weeks participants had an average of 40.77 (SD 12.23) assessments. Dose-response analyses indicated that the number of app assessments submitted were significantly related to higher mean daily SMBG (r = -0.44, P < 0.05) and to lower% missed mealtime SMBG (r = -0.47, P < 0.01). Number of feedback viewing sessions was also significantly related to a lower% missed mealtime SMBG (r = -0.44, P < 0.05). Controlling for baseline variables, mixed-effects analyses did not indicate group × time differences in mean daily SMBG. Engagement analyses resulted in three trajectory groups distinguished by assessment frequencies and rates of decline. Engagement group membership was significantly related to gender, mean daily SMBG, and HbA1c values.

conclusionsMomentary assessment combined with device data provided a feasible means to provide novel personalized biobehavioral feedback for adolescents with T1D. A 2-week protocol provided sufficient data for self-management problem identification. In addition to feedback, more intensive intervention may need to be integrated for those patients with the lowest self-management at baseline.

Indexed as

AdolescentBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Ecological Momentary AssessmentFeasibility StudiesFeedback, PsychologicalFemaleHumansHypoglycemic AgentsInsulinMalePatient ComplianceYoung AdultHypoglycemic AgentsInsulinAdolescentEcological momentary assessmentEngagementFeedbackMobile health.Type 1 diabetes

Identifiers

PMID29882677
PMCPMC6025702
OpenAlexW2807235612

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.