Evidence map›Paper›PMID 31284455›Full record

SynthesisSensors (Basel, Switzerland)2019

Can We Rely on Mobile Devices and Other Gadgets to Assess the Postural Balance of Healthy Individuals? A Systematic Review.

Alexandre S Pinho, Ana P Salazar, Ewald M Hennig, Barbara C Spessato, Antoinette Domingo, Aline S Pagnussat

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
7.0field-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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 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 3 institutions in 3 countries.

Alexandre S PinhoMovement Analysis and Rehabilitation Laboratory, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil.ORCID 0000-0003-4818-8244
Ana P SalazarMovement Analysis and Rehabilitation Laboratory, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil.
Ewald M HennigInstitute of Health & Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Kelvin Grove, Brisbane QLD 4059, Australia.ORCID 0000-0002-2799-8590
Barbara C SpessatoMovement Analysis and Rehabilitation Laboratory, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil.
Antoinette DomingoSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA 92182-7251, USA.
Aline S PagnussatMovement Analysis and Rehabilitation Laboratory, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil. alinespagnussat@gmail.com.ORCID 0000-0001-7837-5855
Universidade Federal de Ciências da Saúde de Porto Alegre · BRQueensland University of Technology · AUSan Diego State University · US

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88881.135564/2016-01Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001
6 · The paper itself

Abstract

The consequences of falls, costs, and complexity of conventional evaluation protocols have motivated researchers to develop more effective balance assessments tools. Healthcare practitioners are incorporating the use of mobile phones and other gadgets (smartphones and tablets) to enhance accessibility in balance evaluations with reasonable sensitivity and good cost-benefit. The prospects are evident, as well as the need to identify weakness and highlight the strengths of the different approaches. In order to verify if mobile devices and other gadgets are able to assess balance, four electronic databases were searched from their inception to February 2019. Studies reporting the use of inertial sensors on mobile and other gadgets to assess balance in healthy adults, compared to other evaluation methods were included. The quality of the nine studies selected was assessed and the current protocols often used were summarized. Most studies did not provide enough information about their assessment protocols, limiting the reproducibility and the reliability of the results. Data gathered from the studies did not allow us to conclude if mobile devices and other gadgets have discriminatory power (accuracy) to assess postural balance. Although the approach is promising, the overall quality of the available studies is low to moderate.

Indexed as

Cell PhoneSmartphoneAdolescentAdultAgedArmCohort StudiesCross-Sectional StudiesFemaleFootHumansMaleMiddle AgedMonitoring, PhysiologicPostural BalanceSignal Processing, Computer-AssistedmHealthmobile applicationspostural balancewearable electronic devices

Identifiers

PMID31284455
PMCPMC6651227
OpenAlexW2954592747

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.