Literature DB >> 23756748

Validating the use of smartphone-based accelerometers for performance assessment in a simulated neurosurgical task.

Wei Jie Jensen Ang1, Michael Edward Hopkins, Roland Partridge, Iain Hennessey, Paul Martin Brennan, Ioannis Fouyas, Mark Antony Hughes.   

Abstract

BACKGROUND: Reductions in working hours affect training opportunities for surgeons. Surgical simulation is increasingly proposed to help bridge the resultant training gap. For simulation training to translate effectively into the operating theater, acquisition of technical proficiency must be objectively assessed. Evaluating "economy of movement" is one way to achieve this.
OBJECTIVE: We sought to validate a practical and economical method of assessing economy of movement during a simulated task. We hypothesized that accelerometers, found in smartphones, provide quantitative, objective feedback when attached to a neurosurgeon's wrists.
METHODS: Subjects (n = 25) included consultants, senior registrars, junior registrars, junior doctors, and medical students. Total resultant acceleration (TRA), average resultant acceleration, and movements with acceleration >0.6g (suprathreshold acceleration events) were recorded while subjects performed a simulated dural closure task.
RESULTS: Students recorded an average TRA 97.0 ± 31.2 ms higher than senior registrars (P = .03) and 103 ± 31.2 ms higher than consultants (P = .02). Similarly, junior doctors accrued an average TRA 181 ± 31.2 ms higher than senior registrars (P < .001) and 187 ± 31.2 ms higher than consultants (P < .001). Significant correlations were observed between surgical outcome (as measured by quality of dural closure) and both TRA (r = .44, P < .001) and number of suprathreshold acceleration events (r = .33, P < .001). TRA (219 ± 66.6 ms; P = .01) and number of suprathreshold acceleration events (127 ± 42.5; P = .02) dropped between the first and fourth trials for junior doctors, suggesting procedural learning. TRA was 45.4 ± 17.1 ms higher in the dominant hand for students (P = .04) and 57.2 ± 17.1 ms for junior doctors (P = .005), contrasting with even TRA distribution between hands (acquired ambidexterity) in senior groups.
CONCLUSION: Data from smartphone-based accelerometers show construct validity as an adjunct for assessing technical performance during simulation training.

Mesh:

Year:  2014        PMID: 23756748     DOI: 10.1227/NEU.0000000000000010

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  6 in total

1.  Non-work-related use of personal mobile phones by hospital registered nurses.

Authors:  Deborah L McBride; Sandra A LeVasseur; Dongmei Li
Journal:  JMIR Mhealth Uhealth       Date:  2015-01-13       Impact factor: 4.773

2.  mHealth in Urology: A Review of Experts' Involvement in App Development.

Authors:  Nuno Pereira-Azevedo; Eduardo Carrasquinho; Eduardo Cardoso de Oliveira; Vitor Cavadas; Luís Osório; Avelino Fraga; Miguel Castelo-Branco; Monique J Roobol
Journal:  PLoS One       Date:  2015-05-18       Impact factor: 3.240

3.  A Mobile App Development Guideline for Hospital Settings: Maximizing the Use of and Minimizing the Security Risks of "Bring Your Own Devices" Policies.

Authors:  Soleh U Al Ayubi; Alexandra Pelletier; Gajen Sunthara; Nitin Gujral; Vandna Mittal; Fabienne C Bourgeois
Journal:  JMIR Mhealth Uhealth       Date:  2016-05-11       Impact factor: 4.773

4.  Design and evaluation of an augmented reality simulator using leap motion.

Authors:  Trinette Wright; Sandrine de Ribaupierre; Roy Eagleson
Journal:  Healthc Technol Lett       Date:  2017-09-14

5.  Development and validation of a web-based survey on the use of personal communication devices by hospital registered nurses: pilot study.

Authors:  Deborah L McBride; Sandra A Levasseur; Dongmei Li
Journal:  JMIR Res Protoc       Date:  2013-11-26

6.  Wrist Motion Variation between Novices and Experienced Surgeons Performing Simulated Airway Surgery.

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Journal:  OTO Open       Date:  2017-11-08
  6 in total

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