Evidence map›Paper›PMID 38894386›Full record

ArticleSensors (Basel, Switzerland)2024

The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability.

Pnina Marom, Michael Brik, Nirit Agay, Rachel Dankner, Zoya Katzir, Naama Keshet, Dana Doron

Abstract read
In one paragraph

Article in Sensors (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. Review
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.

Pnina MaromReuth Research and Development Institute, Reuth Rehabilitation Hospital, Tel Aviv 6772830, Israel.ORCID 0000-0001-5740-0919
Michael BrikReuth Research and Development Institute, Reuth Rehabilitation Hospital, Tel Aviv 6772830, Israel.ORCID 0009-0007-3294-2931
Nirit AgayUnit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Ramat Gan 5262000, Israel.ORCID 0000-0002-3974-4539
Rachel DanknerReuth Research and Development Institute, Reuth Rehabilitation Hospital, Tel Aviv 6772830, Israel.ORCID 0000-0001-6454-6000
Zoya KatzirReuth Research and Development Institute, Reuth Rehabilitation Hospital, Tel Aviv 6772830, Israel.
Naama KeshetDepartment of Physical Therapy, Reuth Rehabilitation Hospital, Tel Aviv 6772830, Israel.
Dana DoronAmbulatory Day Care, Reuth Rehabilitation Hospital, Tel Aviv 6772830, Israel.

Funding

Celloscope Ltd., Tel Aviv, Israel n/a
6 · The paper itself

Abstract

An easy-to-use and reliable tool is essential for gait assessment of people with gait pathologies. This study aimed to assess the reliability and validity of the OneStep smartphone application compared to the C-Mill-VR+ treadmill (Motek, Nederlands), among patients undergoing rehabilitation for unilateral lower extremity disability. Spatiotemporal gait parameters were extracted from the treadmill and from two smartphones, one on each leg. Inter-device reliability was evaluated using Pearson correlation, intra-cluster correlation coefficient (ICC), and Cohen's d, comparing the application's readings from the two phones. Validity was assessed by comparing readings from each phone to the treadmill. Twenty-eight patients completed the study; the median age was 45.5 years, and 61% were males. The ICC between the phones showed a high correlation (r = 0.89-1) and good-to-excellent reliability (ICC range, 0.77-1) for all the gait parameters examined. The correlations between the phones and the treadmill were mostly above 0.8. The ICC between each phone and the treadmill demonstrated moderate-to-excellent validity for all the gait parameters (range, 0.58-1). Only 'step length of the impaired leg' showed poor-to-good validity (range, 0.37-0.84). Cohen's d effect size was small (d < 0.5) for all the parameters. The studied application demonstrated good reliability and validity for spatiotemporal gait assessment in patients with unilateral lower limb disability.

Indexed as

GaitGait AnalysisLower ExtremityMobile ApplicationsSmartphoneAdultAgedExercise TestFemaleHumansMaleMiddle AgedPersons with DisabilitiesReproducibility of Resultsgait analysisgait dysfunctionrehabilitationreliabilitysmartphone applicationvalidity

Identifiers

PMID38894386
PMCPMC11175355

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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.