Evidence map›Paper›PMID 24351168›Full record

ArticleJournal of diabetes science and technology2013

DiAs user interface: a patient-centric interface for mobile artificial pancreas systems.

Patrick Keith-Hynes, Stephanie Guerlain, Benton Mize, Colleen Hughes-Karvetski, Momin Khan, Molly McElwee-Malloy, Boris P Kovatchev

Abstract readEvaluation Study
In one paragraph

Article in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  17. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    Review
  18. Artificial Pancreas: The First 20 Years.Journal of diabetes science and technology · 2025
    Article
  19. Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025
    Review
  20. Review
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.

Patrick Keith-HynesCenter for Diabetes Technology Research, University of Virginia, 617 West Main St., 4th Floor, Charlottesville, VA 22903. ptk4m@virginia.edu.
Stephanie Guerlain
Benton Mize
Colleen Hughes-Karvetski
Momin Khan
Molly McElwee-Malloy
Boris P Kovatchev

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent in-hospital studies of artificial pancreas (AP) systems have shown promising results in improving glycemic control in patients with type 1 diabetes mellitus. The next logical step in AP development is to conduct transitional outpatient clinical trials with a mobile system that is controlled by the patient. In this article, we present the user interface (UI) of the Diabetes Assistant (DiAs), an experimental smartphone-based mobile AP system, and describe the reactions of a round of focus groups to the UI. This work is an initial inquiry involving a relatively small number of potential users, many of whom had never seen an AP system before, and the results should be understood in that light.

methodsWe began by considering how the UI of an AP system could be designed to make use of the familiar touch-based graphical UI of a consumer smartphone. After developing a working prototype UI, we enlisted a human factors specialist to perform a heuristic expert analysis. Next we conducted a formative evaluation of the UI through a series of three focus groups with N = 13 potential end users as participants. The UI was modified based upon the results of these studies, and the resulting DiAs system was used in transitional outpatient AP studies of adults in the United States and Europe.

resultsThe DiAs UI was modified based on focus group feedback from potential users. The DiAs was subsequently used in JDRF- and AP@Home-sponsored transitional outpatient AP studies in the United States and Europe by 40 subjects for 2400 h with no adverse events.

conclusionsAdult patients with type 1 diabetes mellitus are able to control an AP system successfully using a patient-centric UI on a commercial smartphone in a transitional outpatient environment.

Indexed as

Cell PhoneMobile ApplicationsUser-Computer InterfaceBlood GlucoseDiabetes Mellitus, Type 1EuropeFocus GroupsHumansInsulinMonitoring, AmbulatoryPancreas, ArtificialSurveys and QuestionnairesUnited StatesBlood GlucoseInsulin

Identifiers

PMID24351168
PMCPMC3876320

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.