Impact of Fatigue on Neurophysiologic Measures of Surgical Residents
Identifieur interne :
000461 ( PascalFrancis/Corpus );
précédent :
000460;
suivant :
000462
Impact of Fatigue on Neurophysiologic Measures of Surgical Residents
Auteurs : Kanav Kahol ;
Marshall Smith ;
Jared Brandenberger ;
Aaron Ashby ;
John J. FerraraSource :
-
Journal of the American College of Surgeons [ 1072-7515 ] ; 2011.
RBID : Pascal:11-0364795
Descripteurs français
English descriptors
Abstract
BACKGROUND: To gain additional insight into the impact of fatigue on surgery resident proficiency, we set out to quantify its impact on behavioral and neurophysiologic measures. STUDY DESIGN: Simulations were first created using a visio-haptic joystick attached to a surgical instrument (tool) that allows realistic interactions. Before baseline (pre-call) and after call, 7 PGY1 surgery residents performed simulation tasks that required varying levels of psychomotor and cognitive skill. Residents completed 3 sessions per week for 4 weeks. Surgical proficiency was established using 5 metrics: hand movement smoothness; instrument movement smoothness; time to task completion; gesture level proficiency and cognitive errors. Data (percent change from baseline, pre-call) were analyzed using repeated measures ANOVA. While performing these tasks, the residents also wore an EEG cap (B-Alert; Advanced Brain Monitoring), the data from which provided second to second insight into the effects of workload, distraction, and attention on task performance. Mean (±SD) pre-call and post-call values for each were analyzed using repeated measures ANOVA. RESULTS: Residents experienced significant (p < 0.014) post-call erosions in surgical proficiency, punctuated by dramatic increases in cognitive errors. EEG-based attention scores showed a significant (p < 0.014) concomitant decrement of 40%; distraction/drowsiness scores increased by 91%; and workload score increased by 51%. CONCLUSIONS: Fatigue adversely affects PGY1 resident surgical proficiency and neurophysiologic performance.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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| A06 | | | | @2 1 |
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| A08 | 01 | 1 | ENG | @1 Impact of Fatigue on Neurophysiologic Measures of Surgical Residents |
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| A09 | 01 | 1 | ENG | @1 Selected Papers Presented at the Western Surgical Association 118th Scientific Session Chicago, IL, November 2010 |
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| A11 | 01 | 1 | | @1 KAHOL (Kanav) |
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| A11 | 02 | 1 | | @1 SMITH (Marshall) |
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| A11 | 03 | 1 | | @1 BRANDENBERGER (Jared) |
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| A11 | 04 | 1 | | @1 ASHBY (Aaron) |
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| A11 | 05 | 1 | | @1 FERRARA (John J.) |
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| A14 | 01 | | | @1 Human Machine Symbiosis Laboratory, School of Biological and Health Systems Engineering, Arizona State University @3 USA @Z 1 aut. @Z 5 aut. |
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| A14 | 02 | | | @1 Simulation and Education Training Center, Banner Good Samaritan Medical Center @3 USA @Z 1 aut. @Z 2 aut. @Z 4 aut. |
|---|
| A14 | 03 | | | @1 Phoenix Integrated Surgical Residency @2 Phoenix, AZ @3 USA @Z 1 aut. @Z 3 aut. |
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| A18 | 01 | 1 | | @1 The Western Surgical Association @3 USA @9 org-cong. |
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| C01 | 01 | | ENG | @0 BACKGROUND: To gain additional insight into the impact of fatigue on surgery resident proficiency, we set out to quantify its impact on behavioral and neurophysiologic measures. STUDY DESIGN: Simulations were first created using a visio-haptic joystick attached to a surgical instrument (tool) that allows realistic interactions. Before baseline (pre-call) and after call, 7 PGY1 surgery residents performed simulation tasks that required varying levels of psychomotor and cognitive skill. Residents completed 3 sessions per week for 4 weeks. Surgical proficiency was established using 5 metrics: hand movement smoothness; instrument movement smoothness; time to task completion; gesture level proficiency and cognitive errors. Data (percent change from baseline, pre-call) were analyzed using repeated measures ANOVA. While performing these tasks, the residents also wore an EEG cap (B-Alert; Advanced Brain Monitoring), the data from which provided second to second insight into the effects of workload, distraction, and attention on task performance. Mean (±SD) pre-call and post-call values for each were analyzed using repeated measures ANOVA. RESULTS: Residents experienced significant (p < 0.014) post-call erosions in surgical proficiency, punctuated by dramatic increases in cognitive errors. EEG-based attention scores showed a significant (p < 0.014) concomitant decrement of 40%; distraction/drowsiness scores increased by 91%; and workload score increased by 51%. CONCLUSIONS: Fatigue adversely affects PGY1 resident surgical proficiency and neurophysiologic performance. |
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| C03 | 01 | X | ENG | @0 Surgery @5 01 |
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| C03 | 01 | X | SPA | @0 Cirugía @5 01 |
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| C03 | 02 | X | FRE | @0 Fatigue @5 02 |
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| C03 | 02 | X | ENG | @0 Fatigue @5 02 |
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| pR |
| A30 | 01 | 1 | ENG | @1 Western Surgical Association Scientific Session @2 118 @3 Chicago, IL USA @4 2010-11 |
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Format Inist (serveur)
| NO : | PASCAL 11-0364795 INIST |
|---|
| ET : | Impact of Fatigue on Neurophysiologic Measures of Surgical Residents |
|---|
| AU : | KAHOL (Kanav); SMITH (Marshall); BRANDENBERGER (Jared); ASHBY (Aaron); FERRARA (John J.) |
|---|
| AF : | Human Machine Symbiosis Laboratory, School of Biological and Health Systems Engineering, Arizona State University/Etats-Unis (1 aut., 5 aut.); Simulation and Education Training Center, Banner Good Samaritan Medical Center/Etats-Unis (1 aut., 2 aut., 4 aut.); Phoenix Integrated Surgical Residency/Phoenix, AZ/Etats-Unis (1 aut., 3 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | Journal of the American College of Surgeons; ISSN 1072-7515; Etats-Unis; Da. 2011; Vol. 213; No. 1; Pp. 29-34; Bibl. 16 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | BACKGROUND: To gain additional insight into the impact of fatigue on surgery resident proficiency, we set out to quantify its impact on behavioral and neurophysiologic measures. STUDY DESIGN: Simulations were first created using a visio-haptic joystick attached to a surgical instrument (tool) that allows realistic interactions. Before baseline (pre-call) and after call, 7 PGY1 surgery residents performed simulation tasks that required varying levels of psychomotor and cognitive skill. Residents completed 3 sessions per week for 4 weeks. Surgical proficiency was established using 5 metrics: hand movement smoothness; instrument movement smoothness; time to task completion; gesture level proficiency and cognitive errors. Data (percent change from baseline, pre-call) were analyzed using repeated measures ANOVA. While performing these tasks, the residents also wore an EEG cap (B-Alert; Advanced Brain Monitoring), the data from which provided second to second insight into the effects of workload, distraction, and attention on task performance. Mean (±SD) pre-call and post-call values for each were analyzed using repeated measures ANOVA. RESULTS: Residents experienced significant (p < 0.014) post-call erosions in surgical proficiency, punctuated by dramatic increases in cognitive errors. EEG-based attention scores showed a significant (p < 0.014) concomitant decrement of 40%; distraction/drowsiness scores increased by 91%; and workload score increased by 51%. CONCLUSIONS: Fatigue adversely affects PGY1 resident surgical proficiency and neurophysiologic performance. |
|---|
| CC : | 002B01; 002B30A05 |
|---|
| FD : | Chirurgie; Fatigue; Analyse quantitative; Interne (étudiant); Médecine; Traitement |
|---|
| ED : | Surgery; Fatigue; Quantitative analysis; Resident (student); Medicine; Treatment |
|---|
| SD : | Cirugía; Fatiga; Análisis cuantitativo; Interno (estudiante); Medicina; Tratamiento |
|---|
| LO : | INIST-6004.354000509412110030 |
|---|
| ID : | 11-0364795 |
|---|
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Pascal:11-0364795
Le document en format XML
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</imprint><seriesStmt><title level="j" type="main">Journal of the American College of Surgeons</title>
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<idno type="ISSN">1072-7515</idno>
</seriesStmt><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Fatigue</term>
<term>Medicine</term>
<term>Quantitative analysis</term>
<term>Resident (student)</term>
<term>Surgery</term>
<term>Treatment</term>
</keywords><keywords scheme="Pascal" xml:lang="fr"><term>Chirurgie</term>
<term>Fatigue</term>
<term>Analyse quantitative</term>
<term>Interne (étudiant)</term>
<term>Médecine</term>
<term>Traitement</term>
</keywords><front><div type="abstract" xml:lang="en">BACKGROUND: To gain additional insight into the impact of fatigue on surgery resident proficiency, we set out to quantify its impact on behavioral and neurophysiologic measures. STUDY DESIGN: Simulations were first created using a visio-haptic joystick attached to a surgical instrument (tool) that allows realistic interactions. Before baseline (pre-call) and after call, 7 PGY1 surgery residents performed simulation tasks that required varying levels of psychomotor and cognitive skill. Residents completed 3 sessions per week for 4 weeks. Surgical proficiency was established using 5 metrics: hand movement smoothness; instrument movement smoothness; time to task completion; gesture level proficiency and cognitive errors. Data (percent change from baseline, pre-call) were analyzed using repeated measures ANOVA. While performing these tasks, the residents also wore an EEG cap (B-Alert; Advanced Brain Monitoring), the data from which provided second to second insight into the effects of workload, distraction, and attention on task performance. Mean (±SD) pre-call and post-call values for each were analyzed using repeated measures ANOVA. RESULTS: Residents experienced significant (p < 0.014) post-call erosions in surgical proficiency, punctuated by dramatic increases in cognitive errors. EEG-based attention scores showed a significant (p < 0.014) concomitant decrement of 40%; distraction/drowsiness scores increased by 91%; and workload score increased by 51%. CONCLUSIONS: Fatigue adversely affects PGY1 resident surgical proficiency and neurophysiologic performance.</div>
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</fA66><fC01 i1="01" l="ENG"><s0>BACKGROUND: To gain additional insight into the impact of fatigue on surgery resident proficiency, we set out to quantify its impact on behavioral and neurophysiologic measures. STUDY DESIGN: Simulations were first created using a visio-haptic joystick attached to a surgical instrument (tool) that allows realistic interactions. Before baseline (pre-call) and after call, 7 PGY1 surgery residents performed simulation tasks that required varying levels of psychomotor and cognitive skill. Residents completed 3 sessions per week for 4 weeks. Surgical proficiency was established using 5 metrics: hand movement smoothness; instrument movement smoothness; time to task completion; gesture level proficiency and cognitive errors. Data (percent change from baseline, pre-call) were analyzed using repeated measures ANOVA. While performing these tasks, the residents also wore an EEG cap (B-Alert; Advanced Brain Monitoring), the data from which provided second to second insight into the effects of workload, distraction, and attention on task performance. Mean (±SD) pre-call and post-call values for each were analyzed using repeated measures ANOVA. RESULTS: Residents experienced significant (p < 0.014) post-call erosions in surgical proficiency, punctuated by dramatic increases in cognitive errors. EEG-based attention scores showed a significant (p < 0.014) concomitant decrement of 40%; distraction/drowsiness scores increased by 91%; and workload score increased by 51%. CONCLUSIONS: Fatigue adversely affects PGY1 resident surgical proficiency and neurophysiologic performance.</s0>
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</fA30><server><NO>PASCAL 11-0364795 INIST</NO>
<ET>Impact of Fatigue on Neurophysiologic Measures of Surgical Residents</ET>
<AU>KAHOL (Kanav); SMITH (Marshall); BRANDENBERGER (Jared); ASHBY (Aaron); FERRARA (John J.)</AU>
<AF>Human Machine Symbiosis Laboratory, School of Biological and Health Systems Engineering, Arizona State University/Etats-Unis (1 aut., 5 aut.); Simulation and Education Training Center, Banner Good Samaritan Medical Center/Etats-Unis (1 aut., 2 aut., 4 aut.); Phoenix Integrated Surgical Residency/Phoenix, AZ/Etats-Unis (1 aut., 3 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Journal of the American College of Surgeons; ISSN 1072-7515; Etats-Unis; Da. 2011; Vol. 213; No. 1; Pp. 29-34; Bibl. 16 ref.</SO>
<LA>Anglais</LA>
<EA>BACKGROUND: To gain additional insight into the impact of fatigue on surgery resident proficiency, we set out to quantify its impact on behavioral and neurophysiologic measures. STUDY DESIGN: Simulations were first created using a visio-haptic joystick attached to a surgical instrument (tool) that allows realistic interactions. Before baseline (pre-call) and after call, 7 PGY1 surgery residents performed simulation tasks that required varying levels of psychomotor and cognitive skill. Residents completed 3 sessions per week for 4 weeks. Surgical proficiency was established using 5 metrics: hand movement smoothness; instrument movement smoothness; time to task completion; gesture level proficiency and cognitive errors. Data (percent change from baseline, pre-call) were analyzed using repeated measures ANOVA. While performing these tasks, the residents also wore an EEG cap (B-Alert; Advanced Brain Monitoring), the data from which provided second to second insight into the effects of workload, distraction, and attention on task performance. Mean (±SD) pre-call and post-call values for each were analyzed using repeated measures ANOVA. RESULTS: Residents experienced significant (p < 0.014) post-call erosions in surgical proficiency, punctuated by dramatic increases in cognitive errors. EEG-based attention scores showed a significant (p < 0.014) concomitant decrement of 40%; distraction/drowsiness scores increased by 91%; and workload score increased by 51%. CONCLUSIONS: Fatigue adversely affects PGY1 resident surgical proficiency and neurophysiologic performance.</EA>
<CC>002B01; 002B30A05</CC>
<FD>Chirurgie; Fatigue; Analyse quantitative; Interne (étudiant); Médecine; Traitement</FD>
<ED>Surgery; Fatigue; Quantitative analysis; Resident (student); Medicine; Treatment</ED>
<SD>Cirugía; Fatiga; Análisis cuantitativo; Interno (estudiante); Medicina; Tratamiento</SD>
<LO>INIST-6004.354000509412110030</LO>
<ID>11-0364795</ID>
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