Evidence map›Paper›PMID 39810923›Full record

ReviewJAMIA open2025

A scoping review of the reporting quality of reviews of commercially and publicly available mobile health apps.

Norina Gasteiger, Gill Norman, Rebecca Grainger, Sabine N van der Veer, Lisa McGarrigle, Debra Jones, Charlotte Eost-Telling, Amy Vercell, Claire R Ford, Syed Mustafa Ali and 7 more

Abstract readReview
In one paragraph

Review in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Norina GasteigerDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0001-7801-7417
Gill NormanNIHR Innovation Observatory, Population Health Sciences Institute, Newcastle University, Newcastle NE1 7RU, United Kingdom.ORCID https://orcid.org/0000-0002-3972-5733
Rebecca GraingerDepartment of Medicine, University of Otago Wellington, Wellington 6242, New Zealand.ORCID https://orcid.org/0000-0001-9201-8678
Sabine N van der VeerNational Institute for Health and Care Research Applied Research Collaboration Greater Manchester, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0003-0929-436X
Lisa McGarrigleDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0002-0533-3029
Debra JonesDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0003-1479-3622
Charlotte Eost-TellingDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0002-9568-3195
Amy VercellThe Christie NHS Foundation Trust, Manchester M20 4BX, United Kingdom.ORCID https://orcid.org/0000-0002-4121-6524
Claire R FordDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0003-2950-1565
Syed Mustafa AliNational Institute for Health and Care Research Applied Research Collaboration Greater Manchester, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0001-9393-9049
Kate LawThe Christie NHS Foundation Trust, Manchester M20 4BX, United Kingdom.ORCID https://orcid.org/0000-0002-0995-8309
Qimeng ZhaoDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0009-0007-4867-8151
Matthew ByerlyThe University of Kansas School of Medicine-Wichita, Wichita, KS 67214, United States.ORCID https://orcid.org/0000-0001-7033-1268
Chunhu ShiDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0003-0151-0451
Alan DaviesCentre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0001-5737-5629
Alex HallDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0002-8849-744X
Dawn DowdingDivision of Nursing, Midwifery and Social Work, The University of Manchester, Manchester M13 9PL, United Kingdom.ORCID https://orcid.org/0000-0001-5672-8605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: There is no guidance to support the reporting of systematic reviews of mobile health (mhealth) apps (app reviews), so authors attempt to use/modify the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). There is a need for reporting guidance, building on PRISMA where appropriate, tailored to app reviews. The objectives were to describe the reporting quality of published mHealth app reviews, identify the need for, and develop potential candidate items for a reporting guideline. Materials and Methods: A scoping review following the Joanna Briggs Institute and Arksey and O'Malley approaches. App reviews were identified in January 2024 from SCOPUS, CINAHL, AMED, EMBASE, Medline, PsycINFO, ACM Digital Library, snowballing reference lists, and forward citation searches. Data were extracted into Excel and analyzed using descriptive statistics and content synthesis, using PRISMA items as a framework. Results: One hundred and seventy-one app reviews were identified, published from 2013 to 2024. Protocols were developed for 11% of the reviews, and only 52% reported the geographical location of the app markets. Few reported the duplicate removal process (12%), device and operating system used (30%), or made clear recommendations for the best-rated apps (18%). Nineteen PRISMA items were not reported by most (>85%) reviews, and 4 were modified by >30% of the reviews. Involvement of patient/public contributors (4%) or other stakeholders (11%) was infrequent. Overall, 34 candidate items and 10 subitems were identified to be considered for a new guideline. Discussion and Conclusion: App reviews were inconsistently reported, and many PRISMA items were not deemed relevant. Consensus work is needed to revise and prioritize the candidate items for a reporting guideline for systematic app reviews.

Indexed as

app reviewmHealthreportingresearch methodsscoping reviewsmartphone

Identifiers

PMID39810923
PMCPMC11729727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.