Evidence map›Paper›PMID 31067247›Full record

SynthesisPloS one2019

Reliability and validity of clinically accessible smartphone applications to measure joint range of motion: A systematic review.

Justin W L Keogh, Alistair Cox, Sarah Anderson, Bernard Liew, Alicia Olsen, Ben Schram, James Furness

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06086860 (Effects of Mulligan Mobilization With and Without Dry Needling in Runner's Knee), which is not on this map. Cited by 64 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 7 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.

NCT06086860 nacompletednot on this mapstarted 2023, after this paper: background citation

Effects of Mulligan Mobilization With and Without Dry Needling in Runner's Knee

TypeinterventionalSponsorRiphah International UniversityRan2023 to 2024Enrolled40ConditionsRunner's KneeArmsMulligan mobilization with dry needling., Mulligan mobilization without dry needling
3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Smartphone-Based Hand Function Assessment: Systematic Review.Journal of medical Internet research · 2024
    Pooled it
  3. Smartphone Apps for Domestic Violence Prevention: A Systematic Review.International journal of environmental research and public health · 2023
    Pooled it
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4 more citing papers are in PubMed but not listed here.

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.

Justin W L KeoghFaculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, Australia.ORCID 0000-0001-9851-1068
Alistair CoxDepartment of Physiotherapy, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD, Australia.
Sarah AndersonDepartment of Physiotherapy, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD, Australia.
Bernard LiewCentre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston, Birmingham, United Kingdom.
Alicia OlsenFaculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, Australia.
Ben SchramDepartment of Physiotherapy, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD, Australia.
James FurnessDepartment of Physiotherapy, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measuring joint range of motion is an important skill for many allied health professionals. While the Universal Goniometer is the most commonly utilised clinical tool for measuring joint range of motion, the evolution of smartphone technology and applications (apps) provides the clinician with more measurement options. However, the reliability and validity of these smartphones and apps is still somewhat uncertain. The aim of this study was to systematically review the literature regarding the intra- and inter-rater reliability and validity of smartphones and apps to measure joint range of motion. Eligible studies were published in English peer-reviewed journals with full text available, involving the assessment of reliability and/or validity of a non-videographic smartphone app to measure joint range of motion in participants >18 years old. An electronic search using PubMed, Medline via Ovid, EMBASE, CINAHL, and SPORTSDiscus was performed. The risk of bias was assessed using a standardised appraisal tool. Twenty-three of the eligible 25 studies exceeded the minimum 60% score to be classified as a low risk of bias, although 3 of the 13 criteria were not achieved in >50% of the studies. Most of the studies demonstrated adequate intra-rater or inter-rater reliability and/or validity for >50% of the range of motion tests across all joints assessed. However, this level of evidence appeared weaker for absolute (e.g. mean difference ± limit of agreement, minimal detectable change) than relative (e.g. intraclass correlation, correlation) measures; and for spinal rotation than spinal extension, flexion and lateral flexion. Our results provide clinicians with sufficient evidence to support the use of smartphones and apps in place of goniometers to measure joint motion. Future research should address some methodological limitations of the literature, especially including the inclusion of absolute and not just relative reliability and validity statistics.

Indexed as

Mobile ApplicationsRange of Motion, ArticularSmartphoneHumansReproducibility of Results

Identifiers

PMID31067247
PMCPMC6505893

What OpenQuestion holds

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Registered trials

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.