Evidence map›Paper›PMID 31661080›Full record

SynthesisJMIR mHealth and uHealth2019

Evaluation of Mobile Apps Targeted at Patients With Spondyloarthritis for Disease Monitoring: Systematic App Search.

Yu Heng Kwan, Wei Jie Ong, Mengfei Xiong, Ying Ying Leung, Jie Kie Phang, Charmaine Tze May Wang, Warren Fong

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2019. 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.

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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

7 authors.

Yu Heng Kwan *Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0001-7802-9696
Wei Jie Ong *Department of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0001-8244-2977
Mengfei XiongDepartment of Family Medicine, SingHealth, Singapore, Singapore.ORCID 0000-0002-0761-1520
Ying Ying LeungDepartment of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0001-8492-6342
Jie Kie PhangDepartment of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0003-1357-8568
Charmaine Tze May WangDepartment of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0002-6411-5427
Warren FongDepartment of Rheumatology and Immunology, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0003-1891-1892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are many apps developed for patients with spondyloarthritis in the market, but their purpose and quality are not objectively evaluated.

objectiveThe objective of this study was to identify and evaluate existing publicly available, high-quality apps that use validated measurement instruments for monitoring spondyloarthritis disease activity.

methodsWe conducted a review of apps available on the Apple App Store and the Google Play Store based on a combination of keywords and inclusion and exclusion criteria. Validated disease activity measurement instruments were identified. Data regarding app characteristics, including the presence of validated disease activity measurement, were extracted. The Mobile App Rating Scale (MARS) was used to review the apps for user experience.

resultsA total of 1253 apps were identified in the app stores, and 5 apps met the criteria and were further analyzed. Moreover, 2 apps (MySpA and Group for Research and Assessment of Psoriasis and Psoriatic Arthritis App) contained some of the validated disease activity monitoring instruments for specific spondyloarthritis subtypes. These 2 apps were also rated good on the MARS (with total mean scores ≥4 out of 5), whereas the other apps scored poorly in comparison.

conclusionsThere are 2 high-quality spondyloarthritis disease activity monitoring apps publicly available, but they only target 2 spondyloarthritis subtypes-ankylosing spondylitis and psoriatic arthritis. There is a lack of high-quality apps that can measure disease activity for other spondyloarthritis subtypes, and no app that consolidates all validated disease activity instruments across subtypes was available.

Indexed as

HumansMobile ApplicationsSpondylarthritisankylosing spondylitismobile appspsoriatic arthritisspondylarthropathies

Identifiers

PMID31661080
PMCPMC6913729

What OpenQuestion holds

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Registered trials

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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.