Evidence map›Paper›PMID 27412774›Full record

ReviewJournal of behavioral medicine2016

What do we know about mobile applications for diabetes self-management? A review of reviews.

Megan Hood, Rebecca Wilson, Joyce Corsica, Lauren Bradley, Diana Chirinos, Amanda Vivo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 10 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

100 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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40 more citing papers are in PubMed but not listed here.

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

6 authors.

Megan HoodDepartment of Behavioral Sciences, Rush University Medical Center, 1645 W Jackson, Suite 400, Chicago, IL, 60612, USA. megan_hood@rush.edu.ORCID http://orcid.org/0000-0003-2894-0064
Rebecca WilsonDepartment of Behavioral Sciences, Rush University Medical Center, 1645 W Jackson, Suite 400, Chicago, IL, 60612, USA.
Joyce CorsicaDepartment of Behavioral Sciences, Rush University Medical Center, 1645 W Jackson, Suite 400, Chicago, IL, 60612, USA.
Lauren BradleyDepartment of Behavioral Sciences, Rush University Medical Center, 1645 W Jackson, Suite 400, Chicago, IL, 60612, USA.
Diana ChirinosDepartment of Behavioral Sciences, Rush University Medical Center, 1645 W Jackson, Suite 400, Chicago, IL, 60612, USA.
Amanda VivoDepartment of Behavioral Sciences, Rush University Medical Center, 1645 W Jackson, Suite 400, Chicago, IL, 60612, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a chronic illness with significant health consequences, especially for those who are unable to adhere to the complex treatment regimen. Self-management tasks such as regular medication and insulin use, frequent blood sugar checks, strict diet management, and consistent exercise can be quite challenging. Mobile technologies, specifically mobile applications (apps), present a unique opportunity to help patients improve adherence to these behaviors. The availability of commercial diabetes self-management apps is increasing rapidly, making it difficult for patients and providers to stay informed about app options. A number of reviews have described commercial app technology and use for patients with diabetes. The aims of this article are to summarize the results and themes of those reviews, to review outcomes of apps described in the research literature, and to identify areas for further consideration in the use of mobile apps for diabetes self-management.

Indexed as

Mobile ApplicationsChronic DiseaseDiabetes MellitusHumansSelf CareBehavior adherenceDiabetesmHealthMobile applicationsReviewSelf-management

Identifiers

PMID27412774

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.