Back to Search
Start Over
International expert consensus on a scientific approach to training novice cardiac resynchronization therapy implanters using performance quality metrics
- Source :
- International journal of cardiology. 289
- Publication Year :
- 2019
-
Abstract
- Aims Pacing and Cardiac Resynchronization Therapy (CRT) procedural training for novice operators usually takes place in-vivo and methods vary across countries/institutions. No common system exists to objectively assess trainee ability to perform required tasks at predetermined performance levels prior to in-vivo practice. We sought to characterize and validate with experts a reference approach to pacing/CRT implants based on objective and explicit performance quality metrics, for the development of a reproducible, simulation-based, training curriculum aiming to operator proficiency. Methods Three experienced CRT implanters, a behavioural scientist and two engineers performed a detailed task deconstruction of the pacing/CRT procedure and identified the performance metrics (phases, steps, errors, critical errors) that constitute an optimal CRT implant for training purposes. The metrics were stress tested to determine reliability and score-ability and then subjected to detailed systematic review by an international panel of 15 expert implanters in a modified Delphi process. Results Thirteen procedure phases were identified, consisting of 196 steps, 122 errors, 50 critical errors. The expert panel deliberation added 16 metrics, deleted 12, and modified 43. Unanimous panel consensus on the resulting CRT procedure metrics was obtained, which verified face and content validity. Conclusion A reference pacing/CRT procedure and metrics created by a core group of experts accurately characterize the essential components of performance and were endorsed by an international panel of experienced peers. The metrics will underpin quality-assured novice implanter training.
- Subjects :
- Consensus
Process (engineering)
medicine.medical_treatment
Cardiac resynchronization therapy
Medizin
Cardiology
030204 cardiovascular system & hematology
Proficiency-based progression
Machine learning
computer.software_genre
Task (project management)
Cardiac Resynchronization Therapy
03 medical and health sciences
0302 clinical medicine
Content validity
Training
Medicine
Humans
Pacing
Computer Simulation
030212 general & internal medicine
Reliability (statistics)
Training curriculum
Education, Medical
business.industry
Implant
Expert consensus
Reproducibility of Results
CRT
Metrics
Artificial intelligence
Clinical Competence
Curriculum
Cardiology and Cardiovascular Medicine
business
computer
Performance quality
Subjects
Details
- ISSN :
- 18741754
- Volume :
- 289
- Database :
- OpenAIRE
- Journal :
- International journal of cardiology
- Accession number :
- edsair.doi.dedup.....18f8472b1b4c240bf7590ae4498022d8