Evidence map›Paper›PMID 32706727›Full record

SynthesisJMIR mHealth and uHealth2020

Smartphone Apps Targeting Physical Activity in People With Rheumatoid Arthritis: Systematic Quality Appraisal and Content Analysis.

Lindsay M Bearne, Mandeep Sekhon, Rebecca Grainger, Anthony La, Mehrdad Shamali, Aliya Amirova, Emma L Godfrey, Claire M White

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 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

8 authors.

Lindsay M Bearne *Department of Population Health Sciences, School of Population Health and Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-2190-8590
Mandeep Sekhon *Department of Population Health Sciences, School of Population Health and Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-5109-9536
Rebecca Grainger *University of Otago, Wellington, New Zealand.ORCID 0000-0001-9201-8678
Anthony La *Department of Population Health Sciences, School of Population Health and Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-1773-3222
Mehrdad Shamali *Department of Population Health Sciences, School of Population Health and Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0001-7102-2694
Aliya Amirova *Department of Population Health Sciences, School of Population Health and Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0001-6476-7604
Emma L Godfrey *Department of Population Health Sciences, School of Population Health and Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0001-8995-9653
Claire M White *Department of Population Health Sciences, School of Population Health and Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.ORCID 0000-0002-1476-463X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is a disabling, inflammatory joint condition affecting 0.5%-1% of the global population. Physical activity (PA) and exercise are recommended for people with RA, but uptake and adherence tend to be low. Smartphone apps could assist people with RA to achieve PA recommendations. However, it is not known whether high quality, evidence-informed PA apps that include behavior change techniques (BCTs) previously identified as effective for PA adherence are available for people with RA.

objectiveThis study aims to systematically identify apps that include goals to facilitate PA for adults with RA and assess app quality and content for the inclusion of relevant BCTs against recommendations for cardiorespiratory, resistance, flexibility, and neuromotor PA and exercise.

methodsA systematic search of the Apple App Store and Google Play Store in the United Kingdom was conducted to identify English language apps that promote PA for adults with RA. Two researchers independently assessed app quality (mobile app rating scale [MARS]; range 0-5) and content (BCT Taxonomy version 1, World Health Organization, the American College of Sports Medicine, and the European League against Rheumatism recommendations for PA). The completeness of reporting of PA prescription was evaluated using a modified version of the Consensus on Exercise Reporting Template (CERT; range 0-14).

resultsA total of 14,047 apps were identified. Following deduplication, 2737 apps were screened for eligibility; 6 apps were downloaded (2 on the Apple App Store and 4 on the Google Play Store), yielding 4 unique apps. App quality varied (MARS score 2.25-4.17). Only 1 app was congruent with all aspects of the PA recommendations. All apps completely or partially recommended flexibility and resistance exercises, 3 apps completely or partially advised some form of neuromotor exercise, but only 2 offered full or partial guidance on cardiorespiratory exercise. Completeness of exercise reporting was mixed (CERT scores 7-14 points) and 3-7 BCTs were identified. Two BCTs were common to all apps (information about health consequences and instruction on how to perform behavior). Higher quality apps included a greater number of BCTs and were more closely aligned to PA guidance. No published trials evaluating the effect of the included apps were identified.

conclusionsThis review identifies 4 PA apps of mixed quality and content for use by people with RA. Higher quality apps were more closely aligned to PA guidance and included a greater number of BCTs. One high-quality app (Rheumatoid Arthritis Information Support and Education) included 7 BCTs and was fully aligned with PA and exercise guidance. The effect of apps on PA adherence should be established before implementation.

Indexed as

Arthritis, RheumatoidMobile ApplicationsAdultExerciseHumansSmartphoneUnited Kingdombehavior change techniquesexercisemobile applicationsmobile phonephysical activityrheumatoid arthritis

Identifiers

PMID32706727
PMCPMC7404016

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.