Evidence map›Paper›PMID 36197717›Full record

SynthesisJournal of medical Internet research2022

Mobile Apps for the Management of Gastrointestinal Diseases: Systematic Search and Evaluation Within App Stores.

Eva-Maria Messner, Niklas Sturm, Yannik Terhorst, Lasse B Sander, Dana Schultchen, Alexandra Portenhauser, Simone Schmidbaur, Michael Stach, Jochen Klaus, Harald Baumeister and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
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  5. Article
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  8. Review
  9. Review
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  12. Article
  13. mHealth and COVID-19: A Bibliometric Study.Healthcare (Basel, Switzerland) · 2023
    Review
  14. Article
  15. 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

11 authors.

Eva-Maria MessnerDepartment of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University of Ulm, Ulm, Germany.ORCID 0000-0001-6100-8354
Niklas SturmDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Germany.ORCID 0000-0001-9219-0099
Yannik TerhorstDepartment of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University of Ulm, Ulm, Germany.ORCID 0000-0003-4091-5048
Lasse B SanderDepartment of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, Albert-Ludwigs-University Freiburg, Freiburg at Breisgau, Germany.ORCID 0000-0002-4222-9837
Dana SchultchenDepartment of Clinical and Health Psychology, Institute of Psychology and Education, University of Ulm, Ulm, Germany.ORCID 0000-0001-5623-535X
Alexandra PortenhauserDepartment of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University of Ulm, Ulm, Germany.ORCID 0000-0003-2946-3474
Simone SchmidbaurDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Germany.ORCID 0000-0002-4049-3474
Michael StachInstitute of Databases and Information Systems, University of Ulm, Ulm, Germany.ORCID 0000-0001-9422-5523
Jochen KlausDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Germany.ORCID 0000-0002-1434-2867
Harald BaumeisterDepartment of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, University of Ulm, Ulm, Germany.ORCID 0000-0002-2040-661X
Benjamin M WalterDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Germany.ORCID 0000-0002-7356-024X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrointestinal diseases are associated with substantial cost in health care. In times of the COVID-19 pandemic and further digitalization of gastrointestinal tract health care, mobile health apps could complement routine health care. Many gastrointestinal health care apps are already available in the app stores, but the quality, data protection, and reliability often remain unclear.

objectiveThis systematic review aimed to evaluate the quality characteristics as well as the privacy and security measures of mobile health apps for the management of gastrointestinal diseases.

methodsA web crawler systematically searched for mobile health apps with a focus on gastrointestinal diseases. The identified mobile health apps were evaluated using the Mobile Application Rating Scale (MARS). Furthermore, app characteristics, data protection, and security measures were collected. Classic user star rating was correlated with overall mobile health app quality.

resultsThe overall quality of the mobile health apps (N=109) was moderate (mean 2.90, SD 0.52; on a scale ranging from 1 to 5). The quality of the subscales ranged from low (mean 1.89, SD 0.66) to good (mean 4.08, SD 0.57). The security of data transfer was ensured only by 11 (10.1%) mobile health apps. None of the mobile health apps had an evidence base. The user star rating did not correlate with the MARS overall score or with the individual subdimensions of the MARS (all P>.05).

conclusionsMobile health apps might have a positive impact on diagnosis, therapy, and patient guidance in gastroenterology in the future. We conclude that, to date, data security and proof of efficacy are not yet given in currently available mobile health apps.

Indexed as

COVID-19Gastrointestinal DiseasesMobile ApplicationsTelemedicineHumansPandemicsReproducibility of Resultsappapp qualitygastrointestinalgastrointestinal diseasesMARSmHealthmobile appMobile Application Rating Scalemobile healthsystematic review

Identifiers

PMID36197717
PMCPMC9582913

What OpenQuestion holds

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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.