Modeling variation of clinical team processes with multiple sequence alignment
Bibliographic Data
| ID | 7920883 |
|---|---|
| Authors | Nathan J Bahr (0000-0002-8726-5073, Oregon Health & Science University, corresponding author), Herzberg, Simone Herzberg (0000-0001-9971-9821, Oregon Health & Science University), W Lambert, William E Lambert (0000-0003-3833-7154, University of Portland), Matthew Hansen (0000-0003-2958-6423, Oregon Health & Science University), JJ McNulty (Oregon Health & Science University), Annastelle Cohen (0000-0002-6867-5958, Oregon Health & Science University), PN Gorman (Oregon Health & Science University), JM Guise (Oregon Health & Science University) |
| Year | 2019 |
| Volume | 12 |
| Issue | 1 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Methodological Innovations (JOURNAL) |
| Journal identifiers | ISSN: 2059-7991 • E-ISSN: 2059-7991 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/2059799119840985 |
| PMID | 35465616 |
| OpenAlex | W2943438065 |
| Language | EN |
| References cited | 17 |
Our objective was to model process variation of Emergency Medical Service teams responding to simulated pediatric emergencies and determine if sequence alignment distinguishes performance quality. We performed a retrospective process analysis by watching and coding activities in videos from standardized simulations of 42 Emergency Medical Service teams. Teams were classified into high- or low-performing groups based on the Clinical Teamwork ScaleTM. Activities were coded according to resuscitation tasks, performer, and times. We used ClustalG to align task sequences within and between groups, and measured similarity. Teams within and between performance levels had an average sequence similarity of 52 ± 7% and 50 ± 7%. Teams performed clinically appropriate tasks that varied in prioritization, for example, performing compressions or connecting the EKG monitor early. There was no statistical difference in gross similarity between groups but specific differences in prioritization may have had clinically meaningful implications. Alignment could improve by accounting for task duration and concurrency
Coding (social sciences · Prioritization · Process management · Similarity (geometry · Statistics · Task (project management · Teamwork · Computer Science · Engineering · Health Policy Implementation Science · Healthcare Operations and Scheduling Optimization · Mathematics · Simulation-Based Education in Healthcare · Artificial Intelligence
| Citation velocity | historical |
|---|---|
| Highly cited | No |