Evidence map›Paper›PMID 32848350›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2020

Use of Ecological Momentary Assessment to Measure Self-Monitoring of Blood Glucose Adherence in Youth With Type 1 Diabetes.

Jennifer L Warnick, Sarah C Westen, Anastasia Albanese-O'Neill, Stephanie L Filipp, Desmond Schatz, Michael J Haller, David M Janicke

Abstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Jennifer L WarnickUniversity of Florida, Gainesville, FL.ORCID 0000-0003-1378-5882
Sarah C WestenUniversity of Florida, Gainesville, FL.
Anastasia Albanese-O'NeillUniversity of Florida, Gainesville, FL.ORCID 0000-0001-8219-6059
Stephanie L FilippUniversity of Florida, Gainesville, FL.
Desmond SchatzUniversity of Florida, Gainesville, FL.
Michael J HallerUniversity of Florida, Gainesville, FL.ORCID 0000-0002-2803-1824
David M JanickeUniversity of Florida, Gainesville, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDaily self-monitoring of blood glucose (SMBG) is essential for type 1 diabetes management yet is challenging during adolescence. Ecological momentary assessment (EMA) is the repeated sampling of behaviors and experiences in real time in the natural environment. The purpose of this study was to evaluate

methodsYouth (

resultsOn average, participants reported performing SMBG 4 times/day. Of the self-reported SMBG values, 39.6% were accurate. Inaccurate values included additions (i.e., self-reported value with no objective value), omissions (i.e., objective value with no self-reported value), and alterations (difference between self-report and objective SMBG values ≥10 mg/dL). Of the matched pairs of self-reported and objective SMBG values, 41.3% were altered. Bland-Altman plots determined that the mean difference between self-reported and objective glucose data were -5.43 mg/dL. Participants reported being motivated to check their blood glucose because it was important for their health, and reported barriers included wanting to ignore the task, forgetting, and not having devices.

conclusionYouth's self-reported SMBG values may not align with objective readings. The results of this study can facilitate future research to determine individual factors related to SMBG and accuracy of self-reporting.

Identifiers

PMID32848350
PMCPMC7428657

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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.