Evidence map›Paper›PMID 38692713›Full record

ArticleBMJ open2024

Role of virtual reality in examining the effect of fear of falling (FOF) on postural stability in individuals without and with Parkinson's disease in Egypt: a mixed-methods feasibility study protocol.

Yasmine S Gomaa, Mohammed I Awad, Tamer Emara, Ahmed Elbokl, Emad Al-Yahya, Mohamed Magdy ElMeligie

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05931692 (The Role of Virtual Reality in Examining the Effect of Fear of Falling), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.6field-weighted citation impact, top 5% 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.

NCT05931692 unknown statusnot on this map

The Role of Virtual Reality in Examining the Effect of Fear of Falling (FOF) on Postural Stability in Individuals Without and With Parkinson's Disease in Egypt: A Mixed Methods Feasibility Study

TypeobservationalSponsorAhram Canadian UniversityRan2023 to 2026Enrolled15ConditionsParkinson, Parkinson Disease, Parkinson's Disease and ParkinsonismArmsVirtual reality, Electroencephalogram, Electromyography, Motion Capture system, Polar H10 Heart Sensor
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

6 authors at 4 institutions in 2 countries.

Yasmine S GomaaDepartment of Physical Therapy for Neuromuscular Disorders, Faculty of Physical Therapy, Kafr Elsheikh University, Kafr El Sheikh, Egypt yasmeen_gomaa@pt.kfs.edu.eg.ORCID 0000-0002-8922-0119
Mohammed I AwadDepartment of Mechatronics, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Tamer EmaraHuman Mechatronics Lab, Ain Shams Virtual Hospital, Ain Shams University, Cairo, Egypt.
Ahmed ElboklHuman Mechatronics Lab, Ain Shams Virtual Hospital, Ain Shams University, Cairo, Egypt.
Emad Al-YahyaSchool of Rehabilitation Sciences, University of Jordan, Amman, Jordan.
Mohamed Magdy ElMeligieDepartment of Basic Sciences, Ahram Canadian University, 6th of October, Egypt.ORCID 0000-0002-3090-5252
Ain Shams University · EGAhram Canadian University · EGKafrelsheikh University · EGUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are common in older people and individuals with neurological conditions. Parkinson's disease (PD) is known for postural instability causing mobility disabilities, falls and reduced quality of life. The fear of falling (FOF), a natural response to unstable balance, can worsen postural control problems. Evaluating FOF relies largely on affected persons' subjective accounts due to limited objective assessment methods available. The aim of this mixed-methods feasibility study is to develop an assessment method for FOF while in motion and walking within virtual environments. This study will assess a range of FOF-related responses, including cognitive factors, neuromuscular response and postural stability. METHODS AND ANALYSIS: This feasibility study will consist of four phases: the first two phases will include people without PD, while the other two will include people diagnosed with PD. Participants will be assessed for direct and indirect responses to real life, as well as virtual environment walking scenarios that may induce FOF. Data from questionnaires, different neurophysiological assessments, movement and gait parameters, alongside evaluations of usability and acceptability, will be collected. Semistructured interviews involving both participants and research assistants shall take place to elicit their experiences throughout different phases of the assessments undertaken. Demographic data, the scores of assessment scales, as well as feasibility, usability and acceptability of the measurement methods, will be illustrated via descriptive statistics. Movement and gait outcomes, together with neurophysiological data, will be extracted and calculated. Exploring relationships between different factors in the study will be achieved using a regression model. Thematic analysis will be the approach used to manage qualitative data. ETHICS AND DISSEMINATION: This feasibility study was approved by the Ethics Committee of the Faculty of Physical Therapy, Kafr El Sheikh University, Egypt (number: P.T/NEUR/3/2023/46). The results of this study will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT05931692).

Indexed as

Accidental FallsFearFeasibility StudiesParkinson DiseasePostural BalanceVirtual RealityAdultAgedEgyptFemaleHumansMaleMiddle AgedQuality of LifeWalkingFeasibility StudiesParkinson-s diseaseQUALITATIVE RESEARCHVirtual Reality

Identifiers

PMID38692713
PMCPMC11086402
OpenAlexW4396567301

What OpenQuestion holds

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LicenceCC BY-NC
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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.