Evidence map›Paper›PMID 40488116›Full record

ArticleThe journal of education in perioperative medicine : JEPM

An Evaluation of the Microsoft HoloLens2 in the Clinical Teaching of Pain Pathways for Undergraduate Medical Students.

Kevin J Murphy, Niall O'Brien, Murray Connolly, Gabriella Iohom, James Gibson, George Shorten

Abstract read
In one paragraph

Article in The journal of education in perioperative medicine : JEPM. 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.

Kevin J MurphyThe following authors are at Cork University Hospital: is a Fellow in Regional Anaesthesia; is a Consultant Anaesthesiologist. The following authors are at University College Cork: is a Biotechnician; is a Medical Student. is a Consultant Anaesthesiologist at Cork University Hospital and a Senior Lecturer in University College Cork. is a Consultant Anaesthesiologist at Cork University Hospital and Professor Emeritus at University College Cork and Insight Research Centre for Data Analytics.
Niall O'BrienThe following authors are at Cork University Hospital: is a Fellow in Regional Anaesthesia; is a Consultant Anaesthesiologist. The following authors are at University College Cork: is a Biotechnician; is a Medical Student. is a Consultant Anaesthesiologist at Cork University Hospital and a Senior Lecturer in University College Cork. is a Consultant Anaesthesiologist at Cork University Hospital and Professor Emeritus at University College Cork and Insight Research Centre for Data Analytics.
Murray ConnollyThe following authors are at Cork University Hospital: is a Fellow in Regional Anaesthesia; is a Consultant Anaesthesiologist. The following authors are at University College Cork: is a Biotechnician; is a Medical Student. is a Consultant Anaesthesiologist at Cork University Hospital and a Senior Lecturer in University College Cork. is a Consultant Anaesthesiologist at Cork University Hospital and Professor Emeritus at University College Cork and Insight Research Centre for Data Analytics.
Gabriella IohomThe following authors are at Cork University Hospital: is a Fellow in Regional Anaesthesia; is a Consultant Anaesthesiologist. The following authors are at University College Cork: is a Biotechnician; is a Medical Student. is a Consultant Anaesthesiologist at Cork University Hospital and a Senior Lecturer in University College Cork. is a Consultant Anaesthesiologist at Cork University Hospital and Professor Emeritus at University College Cork and Insight Research Centre for Data Analytics.
James GibsonThe following authors are at Cork University Hospital: is a Fellow in Regional Anaesthesia; is a Consultant Anaesthesiologist. The following authors are at University College Cork: is a Biotechnician; is a Medical Student. is a Consultant Anaesthesiologist at Cork University Hospital and a Senior Lecturer in University College Cork. is a Consultant Anaesthesiologist at Cork University Hospital and Professor Emeritus at University College Cork and Insight Research Centre for Data Analytics.
George ShortenThe following authors are at Cork University Hospital: is a Fellow in Regional Anaesthesia; is a Consultant Anaesthesiologist. The following authors are at University College Cork: is a Biotechnician; is a Medical Student. is a Consultant Anaesthesiologist at Cork University Hospital and a Senior Lecturer in University College Cork. is a Consultant Anaesthesiologist at Cork University Hospital and Professor Emeritus at University College Cork and Insight Research Centre for Data Analytics.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In medical education, vertical integration (VI) refers to integration between the clinical and basic sciences. Mixed reality (MR) refers to a rendered experience in which virtual and "real" elements are perceived simultaneously by a learner. The Microsoft HoloLens2 is a novel headset that allows the rendering of an MR environment and facilitates a live 2-way broadcast to (a) remote environment(s). We present here a mixed-methods study that extends previous work of ours examining the feasibility, usability, and efficacy of MR in the clinical education of medical students, specifically teaching pain pathways in a clinical context. Methods: A series of 7 interactive bedside tutorials on pain pathways and their relevance to postoperative pain management was delivered by a single teacher (K.J.M.) using the HoloLens2. Each tutorial included interaction with a patient during the postoperative period and a group of 5 medical students who were situated in a remote lecture theater within the hospital complex. The tutorial used insertion of virtual artifacts, including diagrammatic examples of pain pathways often superimposed on or positioned adjacent to the patient. Student feedback was elicited using a modified Evaluation of Technology-Enhanced Learning Materials: Learner Perceptions (ETELM-LP) tool. Results: This was a prospective, observational study that used both qualitative and quantitative methods. Seven patients and 35 students participated across 7 separate tutorials. The mean System Usability Scale score for medical students was 72.5 (interquartile range 62.5-80.0) and for the clinician was 70.5, indicating favorable usability. The modified ETELM Questionnaire using a 7-point Likert scale demonstrated MR contributed to achieving the learning objectives of the tutorial (median = 6, range 5-7), and was superior to a lecture supported by computer- projected slides. There was disagreement among students regarding the value of the MR tutorial in comparison with a live patient encounter (median = 4, range 3-5). Patients consistently rated communication with the clinician highly (median = 7, range 6-7) and favored the MR tutorial over small group bedside teaching (median = 7, range 6-7). Conclusions: We demonstrated within our institution that bedside clinical teaching of pain pathways using the Microsoft HoloLens2 and MR is both feasible and effective, and could enhance vertical integration of basic and clinical material within a medical undergraduate curriculum. This study's collaborative application development model, involving tutors, facilitators, and curriculum experts, sets a precedent for future educational technology in health care. Further evaluation of the usability of the device in this context is planned, and future research may evaluate the generalizability of our findings to other elements of medical education.

Indexed as

augmented realityHoloLensMedical educationmixed realitypain pathways

Identifiers

PMID40488116
PMCPMC12142582

What OpenQuestion holds

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Registered trials

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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.