Evidence map›Paper›PMID 35614419›Full record

ReviewBMC endocrine disorders2022

Using mHealth applications for self-care - An integrative review on perceptions among adults with type 1 diabetes.

Divya Anna Stephen, Anna Nordin, Jan Nilsson, Mona Persenius

Abstract readReview
In one paragraph

Review in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Trust in Medical AI: The Case of mHealth Diabetes Apps.Journal of evaluation in clinical practice · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Article
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.

Divya Anna StephenDepartment of Health Sciences, Faculty for Health, Science And Technology, Karlstad University, Karlstad, Sweden. DivyaAnna.Stephen@kau.se.ORCID http://orcid.org/0000-0001-6116-3848
Anna NordinDepartment of Health Sciences, Faculty for Health, Science And Technology, Karlstad University, Karlstad, Sweden.
Jan NilssonDepartment of Health Sciences, Faculty for Health, Science And Technology, Karlstad University, Karlstad, Sweden.
Mona PerseniusDepartment of Health Sciences, Faculty for Health, Science And Technology, Karlstad University, Karlstad, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividually designed interventions delivered through mobile health applications (mHealth apps) may be able to effectively support diabetes self-care. Our aim was to review and synthesize available evidence in the literature regarding perception of adults with type 1 diabetes on the features of mHealth apps that help promote diabetes self-care, as well as facilitators and barriers to their use. An additional aim was to review literature on changes in patient reported outcome measures (PROMs) in the same population while using mHealth apps for diabetes self-care.

methodsQuantitative and qualitative studies focusing on adults aged 18 years and over with type 1 diabetes in any context were included. A systematic literature search using selected databases was conducted. Data was synthesised using narrative synthesis.

resultsWe found that features of mHealth apps designed to help promote and maintain diabetes self-care could be categorized into self-care data monitoring, app display, feedback & reminders, data entry, data sharing, and additional features. Factors affecting the use of mHealth apps reported in the literature were personal factors, app design or usability factors, privacy and safety factors, or socioeconomic factors. Quality of life and diabetes distress were the most commonly reported PROMs in the included studies.

conclusionWe are unable to reach a conclusive result due to the heterogeneity of the included studies as well as the limited number of studies reporting on these areas among adults with type 1 diabetes. We therefore recommend further large-scale studies looking into these areas that can ultimately improve mHealth app use in type 1 diabetes self-care. SYSTEMATIC REVIEW REGISTRATION: Prospero CRD42020157620 .

Indexed as

Diabetes Mellitus, Type 1Mobile ApplicationsTelemedicineAdolescentAdultHumansQuality of LifeSelf CareDiabetes mellitusmHealthMobile applicationsMobile healthPatient reported outcome measuresSelf careSelf-management

Identifiers

PMID35614419
PMCPMC9131554

What OpenQuestion holds

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LicenceCC BY
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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.