Evidence map›Paper›PMID 27587370›Full record

ArticleJournal of diabetes science and technology2017

Self-Management Behaviors in Adults on Insulin Pump Therapy.

Danielle Groat, Maria Adela Grando, Hiral Soni, Bithika Thompson, Mary Boyle, Marilyn Bailey, Curtiss B Cook

Abstract read
In one paragraph

Article 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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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.

Danielle Groat1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.
Maria Adela Grando1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.
Hiral Soni1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.
Bithika Thompson2 Mayo Clinic Arizona Division of Endocrinology, Scottsdale, AZ, USA.
Mary Boyle2 Mayo Clinic Arizona Division of Endocrinology, Scottsdale, AZ, USA.
Marilyn Bailey2 Mayo Clinic Arizona Division of Endocrinology, Scottsdale, AZ, USA.
Curtiss B Cook1 Arizona State University Department of Biomedical Informatics, Scottsdale, AZ, USA.

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
Patient-centered decision support based on device evidence (I DECIDE)R21LM011667 · NLM · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GRANDO, MARIA ADELA · 2014 to 2015
$403k
NHLBI NIH HHS U54 HL108460NLM NIH HHS R21 LM011667
6 · The paper itself

Abstract

backgroundSuccessful diabetes management requires behavioral changes. Little is known about self-management behaviors (SMB) in adults on insulin pump (IP) therapy.

objectiveAnalyze and characterize observed common diabetes SMB in adult participants with type 1 diabetes (T1D) using IPs and to correlate behaviors with glycemic outcomes based on participant's individual glucose targets. MATERIALS AND

methodsOne month of IP data from adults with T1D were downloaded. Computer programs were written to automatically quantify the observed frequency of expected behaviors such as: insulin bolusing, checking blood glucose (BG), and recording carbohydrate intake, and other interactions with the IP.

resultsNineteen participants were recruited and 4,249 IP interactions were analyzed to ascertain behaviors. Intersubject variability of adherence to minimally expected behaviors was observed: daily documentation of carbohydrates and BG checks in 76.6 (31.7)% and 60.0 (32.5)%, respectively, and bolusing without consulting the IPBC in 13.0 (16.9)% of delivered boluses, while daily insulin bolus delivery was consistent 96.8 (5.7)%. Higher frequency of adherence to daily behaviors correlated with a higher number of glucose readings at target.

conclusionResults indicate variability in SMB and do not always match recommendations. Case-scenarios based on observed real-life SMB could be incorporated into interviews/surveys to elucidate ways to improve SMB.

Indexed as

Blood Glucose Self-MonitoringDrug MonitoringAdultDiabetes Mellitus, Type 1FemaleHealth BehaviorHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsMaleMiddle AgedSelf AdministrationHypoglycemic AgentsInsulinbolus calculatorinsulin dosinginsulin pumpself-management behaviorstype 1 diabetes

Identifiers

PMID27587370
PMCPMC5478025

What OpenQuestion holds

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Registered trials

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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.