Evidence map›Paper›PMID 27234809›Full record

ReviewJournal of diabetes science and technology2016

Diabetes Technology: Uptake, Outcomes, Barriers, and the Intersection With Distress.

Diana Naranjo, Molly L Tanenbaum, Esti Iturralde, Korey K Hood

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03809858 (Pilot Study to Test Efficacy of Real-time Reminders on Apple Watch To Decrease Late or Missed Meal Boluses), which is not on this map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 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.

NCT03809858 nacompletednot on this mapstarted 2019, after this paper: background citation

Pilot Study to Test Efficacy of Real-time Reminders on Apple Watch To Decrease Late or Missed Meal Boluses

TypeinterventionalSponsorUniversity of VirginiaRan2019 to 2019Enrolled12ConditionsDiabetes Mellitus, Type 1ArmsKlue App
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
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  13. The Experience of Discrimination Impacts Technology Readiness and Psychosocial States of Minoritized Families Living With Type 1 Diabetes: Findings From the BEAD-T1D Pilot Study.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Article
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  17. Development of a Diabetes Navigator Toolkit to Support Diabetes Technology Uptake: The IMPACT Toolkit.Clinical diabetes : a publication of the American Diabetes Association · 2025
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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

4 authors.

Diana NaranjoDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA dnaranjo@stanford.edu.
Molly L TanenbaumDepartment of Pediatrics, Stanford University School of Medicine, CA, USA.
Esti IturraldeDepartment of Pediatrics, Stanford University School of Medicine, CA, USA.
Korey K HoodDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA Department of Pediatrics, Stanford University School of Medicine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients managing type 1 diabetes have access to new technologies to assist in management. This manuscript has two aims: 1) to briefly review the literature on diabetes technology use and how this relates to psychological factors and 2) to present an example of human factors research using our data to examine psychological factors associated with technology use. Device/technology uptake and use has increased over the years and at present day is a common clinical practice. There are mixed results in terms of health and psychosocial outcomes, with specific subgroups doing better than others with technology. Our data demonstrated that patients have moderately elevated diabetes distress across differing types of technology used, from low-tech to high-tech options, possibly meaning that technology does not add or take away distress. In addition, users on multiple daily injections compared to all other technology groups have less positive attitudes about technology. Finally, we discuss implications for clinical practice and future research.

Indexed as

Biomedical TechnologyBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FemaleHumansInsulin Infusion SystemsMalePancreas, Artificialdiabetes attitudesdiabetes distressdiabetes technologypsychosocial correlatestechnology utilization

Identifiers

PMID27234809
PMCPMC4928242

What OpenQuestion holds

Textmetadata
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Registered trials

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.