Evidence map›Paper›PMID 38727486›Full record

ReviewHealthcare (Basel, Switzerland)2024

Digital Apps to Improve Mobility in Adults with Neurological Conditions: A Health App-Focused Systematic Review.

Reem Rendell, Marina Pinheiro, Belinda Wang, Fiona McKay, Ashleigh Ewen, Catherine Carnegie, Erin Tikomaidelana, Zino Fattah, Leanne Hassett

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Reem RendellSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2000, Australia.ORCID 0000-0001-7522-3012
Marina PinheiroInstitute for Musculoskeletal Health, The University of Sydney/Sydney Local Health District, Sydney, NSW 2000, Australia.
Belinda WangInstitute for Musculoskeletal Health, The University of Sydney/Sydney Local Health District, Sydney, NSW 2000, Australia.
Fiona McKaySchool of Health and Social Development, Faculty of Health, Deakin University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-0498-3572
Ashleigh EwenRoyal Rehab, Sydney, NSW 2000, Australia.
Catherine CarnegieIllawarra Shoalhaven Local Health District, Wollongong, NSW 2500, Australia.
Erin TikomaidelanaSouth Western Sydney Local Health District, Sydney, NSW 2000, Australia.
Zino FattahSouth Western Sydney Local Health District, Sydney, NSW 2000, Australia.
Leanne HassettSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2000, Australia.ORCID 0000-0002-3546-1822

Funding

The Sydney Partnership for Health, Education, Research & Enterprise (SPHERE) SPHERE RICH Outcomes Small Project Grant.
6 · The paper itself

Abstract

The provision of mobility exercises through a smartphone application (app) for people undertaking neurological rehabilitation may improve mobility outcomes. However, it is difficult for clinicians and consumers to select high-quality, appropriate apps. This review aimed to identify (1) which mobile health (mHealth) apps are suitable for prescribing mobility exercises for adults with neurological health conditions, (2) how well these apps incorporate telehealth strategies, and (3) how well these apps rate in terms of quality and capacity for behaviour change. The Australian Apple iTunes Store was systematically searched, by using a search code and manually, for apps suitable for training mobility in neurological rehabilitation. Additional searches were conducted in known app repositories and for web-based apps. Trained reviewers extracted data from the included apps, including population-specific characteristics; quality, by using the Mobile App Rating Scale (MARS); and behaviour change potential, by using the App Behaviour Change Scale (ABACUS). The included apps (n = 18) provided <50 to >10,000 exercises, many incurred a subscription fee (n = 13), and half included telehealth features. App quality was moderate (mean MARS score of 3.2/5 and SD of 0.5), and potential for behaviour change was poor (mean ABACUS score of 5.7/21 and SD of 2.1). A limited number of high-quality apps are available for the prescription of mobility exercises in people with neurological conditions.

Indexed as

ABACUSeHealthMARSmHealthmobile appneurologicalrehabilitationsystematic review

Identifiers

PMID38727486
PMCPMC11083333

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.