Evidence map›Paper›PMID 39388698›Full record

SynthesisJournal of medical Internet research2024

Quality Assessment of Digital Health Apps: Umbrella Review.

Maciej Marek Zych, Raymond Bond, Maurice Mulvenna, Jorge Martinez Carracedo, Lu Bai, Simon Leigh

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Maciej Marek ZychSchool of Computing, Ulster University, Belfast, United Kingdom.ORCID 0000-0003-0791-8976
Raymond BondSchool of Computing, Ulster University, Belfast, United Kingdom.ORCID 0000-0002-1078-2232
Maurice MulvennaSchool of Computing, Ulster University, Belfast, United Kingdom.ORCID 0000-0002-1554-0785
Jorge Martinez CarracedoSchool of Computing, Ulster University, Belfast, United Kingdom.ORCID 0000-0001-8017-2598
Lu BaiSchool of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, United Kingdom.ORCID 0000-0003-1242-5412
Simon LeighORCHA, Daresbury, United Kingdom.ORCID 0000-0002-6843-6447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith an increasing number of digital health apps available in app stores, it is important to assess these technologies reliably regarding their quality. This is done to mitigate the risks associated with their use. There are many different guidelines, methods, and metrics available to assess digital health apps with regard to their quality.

objectiveThis study aimed to give a holistic summary of the current methods and "condition agnostic" frameworks that are broadly applicable for the quality assessment of all digital health apps.

methodsA systematic search of literature was conducted on 4 databases: Scopus, PubMed, ACM Digital Library, and IEEE Xplore. We followed the PICOS (Population, Patient, or Problem; Intervention; Comparison; Outcomes; and Study Design) and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodologies when conducting this umbrella review. The search was conducted on January 26, 2024, for review articles published between 2018 and 2023. We identified 4781 candidate papers for inclusion; after title and abstract screening, 39 remained. After full-text analysis, we included 15 review articles in the full review.

resultsOf the 15 review articles, scoping reviews were the most common (n=6, 40%), followed by systematic reviews (n=4, 27%), narrative reviews (n=4, 27%), and a rapid review (n=1, 7%). A total of 4 (27%) review articles proposed assessment criteria for digital health apps. "Data privacy and/or security" was the most mentioned criterion (n=13, 87%) and "Cost" was the least mentioned criterion (n=1, 7%) for the assessment of digital health apps. The Mobile App Rating Scale was the most frequently used framework for quality assessment of digital health apps.

conclusionsThere is a lack of unity or consolidation across identified frameworks, as most do not meet all the identified criteria from the reviewed articles. Safety concerns associated with the use of digital health apps may be mitigated with the use of quality frameworks.

Indexed as

Mobile ApplicationsDigital HealthHumansTelemedicineappassessmentassessment criteriadigital healthdigital health appevaluation criteriaframeworkshealth apps criteriahealth apps qualitymHealth assessmentmobile phonequality assessmentriskumbrella review

Identifiers

PMID39388698
PMCPMC11502990

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.