Demands of surgical teams in robotic-assisted surgery : An assessment of intraoperative workload within different surgical specialties
Copyright © 2023 Elsevier Inc. All rights reserved..
BACKGROUND: Current approaches to assessing workload in robotic-assisted surgery (RAS) focus on surgeons and lack real-world data. Understanding how workload varies by role and specialty aids in identifying effective ways to optimize workload.
METHODS: SURG-TLX surveys with six domains of workload were administered to surgical staff at three sites. Staff reported workload perceptions for each domain on a 20-point Likert scale, and aggregate scores were determined per participant.
RESULTS: 188 questionnaires were obtained across 90 RAS procedures. Significantly higher aggregate scores were reported for gynecology (Mdn = 30.00) (p = 0.034) and urology (Mdn = 36.50) (p = 0.006) than for general (Mdn = 25.00). Surgeons reported significantly higher scores for task complexity (Mdn = 8.00) than both technicians (Mdn = 5.00) (p = 0.007), and nurses (Mdn = 5.00).
CONCLUSIONS: Staff reported significantly higher workload during urology and gynecology procedures, and experienced significant differences in domain workload by role and specialty, elucidating the need for tailored workload interventions.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:226 |
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| Enthalten in: |
American journal of surgery - 226(2023), 3 vom: 10. Sept., Seite 365-370 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zamudio, Jennifer [VerfasserIn] |
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| Links: |
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| Themen: |
Cognitive ergonomics |
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| Anmerkungen: |
Date Completed 11.09.2023 Date Revised 11.09.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.amjsurg.2023.06.010 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM358319463 |
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| 100 | 1 | |a Zamudio, Jennifer |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Demands of surgical teams in robotic-assisted surgery |b An assessment of intraoperative workload within different surgical specialties |
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| 500 | |a Date Completed 11.09.2023 | ||
| 500 | |a Date Revised 11.09.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 Elsevier Inc. All rights reserved. | ||
| 520 | |a BACKGROUND: Current approaches to assessing workload in robotic-assisted surgery (RAS) focus on surgeons and lack real-world data. Understanding how workload varies by role and specialty aids in identifying effective ways to optimize workload | ||
| 520 | |a METHODS: SURG-TLX surveys with six domains of workload were administered to surgical staff at three sites. Staff reported workload perceptions for each domain on a 20-point Likert scale, and aggregate scores were determined per participant | ||
| 520 | |a RESULTS: 188 questionnaires were obtained across 90 RAS procedures. Significantly higher aggregate scores were reported for gynecology (Mdn = 30.00) (p = 0.034) and urology (Mdn = 36.50) (p = 0.006) than for general (Mdn = 25.00). Surgeons reported significantly higher scores for task complexity (Mdn = 8.00) than both technicians (Mdn = 5.00) (p = 0.007), and nurses (Mdn = 5.00) | ||
| 520 | |a CONCLUSIONS: Staff reported significantly higher workload during urology and gynecology procedures, and experienced significant differences in domain workload by role and specialty, elucidating the need for tailored workload interventions | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Cognitive ergonomics | |
| 650 | 4 | |a NASA-TLX | |
| 650 | 4 | |a Robotic-assisted surgery | |
| 650 | 4 | |a Workload | |
| 700 | 1 | |a Woodward, Jeffrey |e verfasserin |4 aut | |
| 700 | 1 | |a Kanji, Falisha F |e verfasserin |4 aut | |
| 700 | 1 | |a Anger, Jennifer T |e verfasserin |4 aut | |
| 700 | 1 | |a Catchpole, Ken |e verfasserin |4 aut | |
| 700 | 1 | |a Cohen, Tara N |e verfasserin |4 aut | |
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