Evidence map›Paper›PMID 38025104›Full record

ArticleDigital health

A modified mental state assessment tool for impact analysis of virtual reality-based therapeutic interventions in patients with cognitive impairment.

Samiya Khan, Muhammad Kamran Naeem, Marzia Hoque Tania, Nadia Refat, Md Arafatur Rahman, Mohammad Patwary

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Samiya KhanSchool of Engineering, Computing and Mathematical Sciences, University of Wolverhampton, Wolverhampton, UK.ORCID https://orcid.org/0000-0003-0837-5125
Muhammad Kamran NaeemSchool of Engineering, Computing and Mathematical Sciences, University of Wolverhampton, Wolverhampton, UK.
Marzia Hoque TaniaInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Nadia RefatSchool of Engineering, Computing and Mathematical Sciences, University of Wolverhampton, Wolverhampton, UK.
Md Arafatur RahmanSchool of Engineering, Computing and Mathematical Sciences, University of Wolverhampton, Wolverhampton, UK.
Mohammad PatwarySchool of Engineering, Computing and Mathematical Sciences, University of Wolverhampton, Wolverhampton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This work has developed a modified mental state assessment tool for impact analysis of therapeutic interventions for patients with cognitive impairment. This work includes a pilot study to validate the proposed tool and assess the impact of virtual reality-based interventions on patient well-being, which includes assessment of cognitive ability and mood. Methods: The suggested tool's robustness and reliability are assessed in care home facilities with elderly residents over the age of 55. Because of the repetitive nature of the pilot study, test-retest strategy for Cronbach's alpha coefficient is employed to validate the internal consistency of the proposed tool over time. Qualitative and quantitative analyses are performed on the collected data to draw inferences on the impact of virtual reality-based interventions on patients with cognitive impairments. Results: The Cronbach's alpha coefficient value shows that the proposed tool's resilience is comparable to that of its pre-intervention counterparts. The Cronbach's alpha coefficient values are determined for Pre-virtual reality and Post-virtual reality interventions, which include 116 virtual reality sessions for 52-participant, and three cohorts of virtual reality sessions for 21 participants. These values for a majority of the interventions remained within the acceptable range of 0.6-0.8. Conclusions: The proposed modified mental state assessment tool is observed to be a reliable tool for investigating the impact of virtual reality-based interventions on patients with cognitive impairments. One of the notable significance of the proposed tool is that this allows for resource allocation for such interventions to be tailored to the needs of the patient, leading to greater therapeutic efficacy and resource efficiency.

Indexed as

Digital healthmini-mental state examinationmulti-sensory immersive environmentvirtual realityvirtual reality for social care

Identifiers

PMID38025104
PMCPMC10647984

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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.