Literature DB >> 30955161

Neuroanesthesiologists as interoperative neurophysiologists: a collaborative cognitive apprenticeship model of training in a community of clinical practice.

Nelson Nicolás Algarra1, John J McAuliffe2, Christoph N Seubert3.   

Abstract

Directing intraoperative neurophysiologic monitoring (IONM) is a patient care activity for which no formal training programs exist, even though the need for well-trained practitioners is readily evident while caring for patients with diseases of the brain, spinal cord, spinal column, or nervous system. Here, we present the theoretical basis and institutional experience for a successful model of learning a new and complex set of skills: the medical direction of IONM. In a major academic institution, a clinical community of practice absorbed new members with professional backgrounds ranging from a recent neuroanesthesia fellowship to several decades of neuroanesthesia practice and trained them in a collaborative cognitive apprenticeship model to medically direct IONM. Our community of practice comprises experienced technicians, a diplomate of the American Board of Neurophysiologic Monitoring (DABNM), and six neuroanesthesiologists. This group forms the base of the scaffolding or structure where the apprenticeship and learning take place. The clinical community of practice has trained eight new members in the medical direction of IONM. The group has also trained four outside anesthesiologists-one of whom went on to become certified as a DABNM-who went on to develop the IONM program at a major children's hospital. This collaborative cognitive apprenticeship in anesthesiology to learn the medical direction of IONM is quite innovative as it integrates new members and expands the range of existing ones. In our model, the entire community is elevated by the reciprocal interactions of master clinicians, novice apprentices, and the community of practice.

Entities:  

Keywords:  Apprenticeship; Clinical community of practice; Collaborative cognitive apprenticeship model; Intraoperative neurophysiologic monitoring

Mesh:

Year:  2019        PMID: 30955161     DOI: 10.1007/s10877-019-00304-0

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  11 in total

1.  Practice guidelines for perioperative transesophageal echocardiography. An updated report by the American Society of Anesthesiologists and the Society of Cardiovascular Anesthesiologists Task Force on Transesophageal Echocardiography.

Authors: 
Journal:  Anesthesiology       Date:  2010-05       Impact factor: 7.892

Review 2.  Ultrasound-Guided Regional Anesthesia Simulation Training: A Systematic Review.

Authors:  Xiao Xu Chen; Vatsal Trivedi; AbdulHadi A AlSaflan; Suzanne Clare Todd; Andrea C Tricco; Colin J L McCartney; Sylvain Boet
Journal:  Reg Anesth Pain Med       Date:  2017 Nov/Dec       Impact factor: 6.288

Review 3.  Communication and collaboration in spine neuromonitoring: time to expect more, a lot more, from the neurophysiologists.

Authors:  Stan Skinner; Francesco Sala
Journal:  J Neurosurg Spine       Date:  2017-04-14

4.  Survey of neuroanesthesia fellowships in Canada.

Authors:  Darreul Sewell; Cynthia Henderson; Marie-Hélène Tremblay; Hélène Pellerin; Alana M Flexman
Journal:  Can J Anaesth       Date:  2016-10-18       Impact factor: 5.063

5.  A Strategic View for Intraoperative Neuromonitoring in Canada 2017.

Authors:  Marshall Wilkinson; David Houlden; Sue Morris; Laura M Holmes; Sam Strantzas
Journal:  Can J Neurol Sci       Date:  2018-05       Impact factor: 2.104

6.  Neuroanesthesiology fellowship training: curricular guidelines from the Society for Neuroscience in Anesthesiology and Critical Care.

Authors:  George A Mashour; Rafi Avitsian; Kathryn K Lauer; Sulpicio G Soriano; Deepak Sharma; Antoun Koht; Gregory Crosby
Journal:  J Neurosurg Anesthesiol       Date:  2013-01       Impact factor: 3.956

7.  Clinical and Economic Outcomes of Telemedicine Programs in the Intensive Care Unit: A Systematic Review and Meta-Analysis.

Authors:  Jing Chen; Dalong Sun; Weiming Yang; Mingli Liu; Shufan Zhang; Jinhua Peng; Chuancheng Ren
Journal:  J Intensive Care Med       Date:  2017-08-22       Impact factor: 3.510

8.  Impact of Telemedicine on Severity of Illness and Outcomes Among Children Transferred From Referring Emergency Departments to a Children's Hospital PICU.

Authors:  Parul Dayal; Nayla M Hojman; Jamie L Kissee; Jacqueline Evans; JoAnne E Natale; Yunru Huang; Rebecca L Litman; Thomas S Nesbitt; James P Marcin
Journal:  Pediatr Crit Care Med       Date:  2016-06       Impact factor: 3.624

Review 9.  Expanding technology in the ICU: the case for the utilization of telemedicine.

Authors:  Stacie Deslich; Alberto Coustasse
Journal:  Telemed J E Health       Date:  2014-03-12       Impact factor: 3.536

Review 10.  Medical Error Avoidance in Intraoperative Neurophysiological Monitoring: The Communication Imperative.

Authors:  Stan Skinner; Robert Holdefer; John J McAuliffe; Francesco Sala
Journal:  J Clin Neurophysiol       Date:  2017-11       Impact factor: 2.177

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