Evidence map›Paper›PMID 30470680›Full record

ArticleJMIR diabetes2018

Glucose Control, Disease Burden, and Educational Gaps in People With Type 1 Diabetes: Exploratory Study of an Integrated Mobile Diabetes App.

Cornelis J Tack, Gerardus J Lancee, Barend Heeren, Lucien Jlpg Engelen, Sandra Hendriks, Lisa Zimmerman, Daniele De Massari, Marleen Mhj van Gelder, Tom H van de Belt

Open access · goldAbstract read
In one paragraph

Article in JMIR diabetes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 4 pooled it
2.6field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 4 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Article
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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

9 authors at 2 institutions in 1 country.

Cornelis J TackDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0003-0322-1653
Gerardus J LanceeRadboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0001-5791-2260
Barend HeerenRadboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0001-7773-7412
Lucien Jlpg EngelenRadboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0002-8455-9367
Sandra HendriksDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0002-5824-4628
Lisa ZimmermanDepartment of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0002-4756-7616
Daniele De MassariRoyal Philips, Eindhoven, Netherlands.ORCID http://orcid.org/0000-0002-9276-8281
Marleen Mhj van GelderRadboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0003-4853-4434
Tom H van de BeltRadboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0002-5401-8973
Radboud University Nijmegen · NLPhilips (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-monitoring and self-management, crucial for optimal glucose control in type 1 diabetes, requires many disease-related decisions per day and imposes a substantial disease burden on people with diabetes. Innovative technologies that integrate relevant measurements may offer solutions that support self-management, decrease disease burden, and benefit diabetes control.

objectiveThe objective of our study was to evaluate a prototype integrated mobile phone diabetes app in people with type 1 diabetes.

methodsIn this exploratory study, we developed an app that contained cloud-stored log functions for glucose, carbohydrates (including a library), insulin, planned exercise, and mood, combined with a bolus calculator and communication functions. Adults with diabetes tested the app for 6 weeks. We assessed the feasibility of app use, user experiences, perceived disease burden (through questionnaires), insulin dose and basal to bolus ratio, mean glucose level, hemoglobin A

resultsA total of 19 participants completed the study, resulting in 5782 data entries. The most frequently used feature was logging blood glucose, insulin, and carbohydrates. Mean diabetes-related emotional problems (measured with the Problem Areas in Diabetes scale) scores decreased from 14.4 (SD 10.0) to 12.2 (SD 10.3; P=.04), and glucose control improved, with hemoglobin A

conclusionsAn integrated mobile diabetes app has the potential to improve diabetes self-management and provide tailored educational support, which may decrease disease burden and benefit diabetes control.

Indexed as

appdiabetesdiabetes mellitus, type 1disease managementmedication suggestionmobile applicationsself-care

Identifiers

PMID30470680
PMCPMC6286423
OpenAlexW2900536151

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.