Evidence map›Paper›PMID 35881435›Full record

ReviewJournal of medical Internet research2022

Mobile Apps for People With Rare Diseases: Review and Quality Assessment Using Mobile App Rating Scale.

Sarah Hatem, Janet C Long, Stephanie Best, Zoe Fehlberg, Bróna Nic Giolla Easpaig, Jeffrey Braithwaite

Open access · goldAbstract readReview
In one paragraph

Review 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, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 pooled it
7.2field-weighted citation impact, top 3% of its field
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, 5 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Sarah Hatem *Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0002-3542-6138
Janet C Long *Australian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0002-0553-682X
Stephanie BestAustralian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0002-1107-8976
Zoe FehlbergAustralian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0002-8449-206X
Bróna Nic Giolla EaspaigAustralian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0001-6787-056X
Jeffrey BraithwaiteAustralian Institute of Health Innovation, Macquarie University, North Ryde, Australia.ORCID 0000-0003-0296-4957
Macquarie University · AUMurdoch Children's Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile apps are becoming increasingly popular, with 5.70 million apps available in early 2021. Smartphones can provide portable and convenient access to health apps. Here, we consider apps for people with one of the estimated 7000 rare conditions, which are defined as having an incidence of <1 in 2000. The needs of people with rare conditions are known to be different from those of people with more common conditions. The former may be socially isolated (not knowing anyone else who has the condition) and may not be able to find reliable information about the disorder.

objectiveThe aim of this review is to search for apps developed specifically for people diagnosed with a rare disease and to assess them for quality using the Mobile App Rating Scale (MARS). We examine features that address 6 identified needs of people with a rare disorder and make recommendations for future developers.

methodsGoogle Play Store (Android) and Apple App Store (iOS) were searched for relevant health-related apps specifically for rare diseases. The search included the names of 10 rare disease groups. App quality was determined using MARS, assessing app engagement, functionality, aesthetics, and information.

resultsWe found 29 relevant apps (from a total of 2272) addressing 14 rare diseases or disease groups. The most common rare conditions addressed were cystic fibrosis (n=6), hemophilia (n=5), and thalassemia (n=5). The most common app features were web-based information and symptom trackers. The mean MARS score was 3.44 (SD 0.84). Lowest scores were for engagement.

conclusionsMost apps provided factual and visual information, providing tools for self-monitoring and resources to help improve interactions during health consultations. App origin and quality varied greatly. Developers are recommended to consider ways to make appropriate apps more easily identifiable to consumers, to always include high-quality information, improve engagement, provide qualitative evaluations of the app, and include consumers and clinicians in the design.

Indexed as

Mobile ApplicationsHumansRare DiseasesSmartphonemobile appsmobile phonerare diseaseself-managementsocial support

Identifiers

PMID35881435
PMCPMC9364167
OpenAlexW4288042122

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.