Effects of surgical flow disruptions on surgeons’ resources: a pilot study
Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitat...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
van Houwelingen, B. C. G. [verfasserIn] Rutkowski, A.-F. [verfasserIn] Ganni, S. [verfasserIn] Stepaniak, P. S. [verfasserIn] Jakimowicz, J. J. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Surgical endoscopy and other interventional techniques - New York, NY : Springer, 1987, 34(2019), 10 vom: 12. Nov., Seite 4525-4535 |
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| Übergeordnetes Werk: |
volume:34 ; year:2019 ; number:10 ; day:12 ; month:11 ; pages:4525-4535 |
| Links: |
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| DOI / URN: |
10.1007/s00464-019-07239-2 |
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| Katalog-ID: |
SPR041143159 |
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| 520 | |a Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. | ||
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| 650 | 4 | |a Distractions |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Mental and physiological resources |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Ganni, S. |e verfasserin |4 aut | |
| 700 | 1 | |a Stepaniak, P. S. |e verfasserin |4 aut | |
| 700 | 1 | |a Jakimowicz, J. J. |e verfasserin |4 aut | |
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10.1007/s00464-019-07239-2 doi (DE-627)SPR041143159 (SPR)s00464-019-07239-2-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl van Houwelingen, B. C. G. verfasserin aut Effects of surgical flow disruptions on surgeons’ resources: a pilot study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. Surgical flow (dpeaa)DE-He213 Distractions (dpeaa)DE-He213 Physiological markers (dpeaa)DE-He213 Mental and physiological resources (dpeaa)DE-He213 Team training (dpeaa)DE-He213 Rutkowski, A.-F. verfasserin aut Ganni, S. verfasserin aut Stepaniak, P. S. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 34(2019), 10 vom: 12. Nov., Seite 4525-4535 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:34 year:2019 number:10 day:12 month:11 pages:4525-4535 https://dx.doi.org/10.1007/s00464-019-07239-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 34 2019 10 12 11 4525-4535 |
| spelling |
10.1007/s00464-019-07239-2 doi (DE-627)SPR041143159 (SPR)s00464-019-07239-2-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl van Houwelingen, B. C. G. verfasserin aut Effects of surgical flow disruptions on surgeons’ resources: a pilot study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. Surgical flow (dpeaa)DE-He213 Distractions (dpeaa)DE-He213 Physiological markers (dpeaa)DE-He213 Mental and physiological resources (dpeaa)DE-He213 Team training (dpeaa)DE-He213 Rutkowski, A.-F. verfasserin aut Ganni, S. verfasserin aut Stepaniak, P. S. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 34(2019), 10 vom: 12. Nov., Seite 4525-4535 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:34 year:2019 number:10 day:12 month:11 pages:4525-4535 https://dx.doi.org/10.1007/s00464-019-07239-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 34 2019 10 12 11 4525-4535 |
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10.1007/s00464-019-07239-2 doi (DE-627)SPR041143159 (SPR)s00464-019-07239-2-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl van Houwelingen, B. C. G. verfasserin aut Effects of surgical flow disruptions on surgeons’ resources: a pilot study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. Surgical flow (dpeaa)DE-He213 Distractions (dpeaa)DE-He213 Physiological markers (dpeaa)DE-He213 Mental and physiological resources (dpeaa)DE-He213 Team training (dpeaa)DE-He213 Rutkowski, A.-F. verfasserin aut Ganni, S. verfasserin aut Stepaniak, P. S. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 34(2019), 10 vom: 12. Nov., Seite 4525-4535 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:34 year:2019 number:10 day:12 month:11 pages:4525-4535 https://dx.doi.org/10.1007/s00464-019-07239-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 34 2019 10 12 11 4525-4535 |
| allfieldsGer |
10.1007/s00464-019-07239-2 doi (DE-627)SPR041143159 (SPR)s00464-019-07239-2-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl van Houwelingen, B. C. G. verfasserin aut Effects of surgical flow disruptions on surgeons’ resources: a pilot study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. Surgical flow (dpeaa)DE-He213 Distractions (dpeaa)DE-He213 Physiological markers (dpeaa)DE-He213 Mental and physiological resources (dpeaa)DE-He213 Team training (dpeaa)DE-He213 Rutkowski, A.-F. verfasserin aut Ganni, S. verfasserin aut Stepaniak, P. S. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 34(2019), 10 vom: 12. Nov., Seite 4525-4535 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:34 year:2019 number:10 day:12 month:11 pages:4525-4535 https://dx.doi.org/10.1007/s00464-019-07239-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 34 2019 10 12 11 4525-4535 |
| allfieldsSound |
10.1007/s00464-019-07239-2 doi (DE-627)SPR041143159 (SPR)s00464-019-07239-2-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.87 bkl van Houwelingen, B. C. G. verfasserin aut Effects of surgical flow disruptions on surgeons’ resources: a pilot study 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. Surgical flow (dpeaa)DE-He213 Distractions (dpeaa)DE-He213 Physiological markers (dpeaa)DE-He213 Mental and physiological resources (dpeaa)DE-He213 Team training (dpeaa)DE-He213 Rutkowski, A.-F. verfasserin aut Ganni, S. verfasserin aut Stepaniak, P. S. verfasserin aut Jakimowicz, J. J. verfasserin aut Enthalten in Surgical endoscopy and other interventional techniques New York, NY : Springer, 1987 34(2019), 10 vom: 12. Nov., Seite 4525-4535 (DE-627)254909620 (DE-600)1463171-4 1432-2218 nnns volume:34 year:2019 number:10 day:12 month:11 pages:4525-4535 https://dx.doi.org/10.1007/s00464-019-07239-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.87 ASE AR 34 2019 10 12 11 4525-4535 |
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Enthalten in Surgical endoscopy and other interventional techniques 34(2019), 10 vom: 12. Nov., Seite 4525-4535 volume:34 year:2019 number:10 day:12 month:11 pages:4525-4535 |
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Surgical endoscopy and other interventional techniques |
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van Houwelingen, B. C. G. @@aut@@ Rutkowski, A.-F. @@aut@@ Ganni, S. @@aut@@ Stepaniak, P. S. @@aut@@ Jakimowicz, J. J. @@aut@@ |
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G.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effects of surgical flow disruptions on surgeons’ resources: a pilot study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. 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610 ASE 44.87 bkl Effects of surgical flow disruptions on surgeons’ resources: a pilot study Surgical flow (dpeaa)DE-He213 Distractions (dpeaa)DE-He213 Physiological markers (dpeaa)DE-He213 Mental and physiological resources (dpeaa)DE-He213 Team training (dpeaa)DE-He213 |
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effects of surgical flow disruptions on surgeons’ resources: a pilot study |
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Effects of surgical flow disruptions on surgeons’ resources: a pilot study |
| abstract |
Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. |
| abstractGer |
Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. |
| abstract_unstemmed |
Background Minimally invasive surgery requires surgeons to allocate more attention and efforts than open surgery. A surgeon’s pool of resource is affected by the multiple occurrences of interruptions and distractions in the operating room. Surgical flow disruption has been addressed from a quantitative perspective. However, little is known on its impact on the surgeons’ physiological resources. Methods Three physiological markers, heat flux (HF), energy expenditure in metabolic equivalent of tasks and galvanic skin response were recorded using body sensor monitoring during the 21 surgical operations. The three markers, respectively, represent: stress, energy mobilization and task engagement. A total of 8 surgeons with different levels of expertise (expert vs. novice) were observed performing 21 surgical procedures categorized as short versus long. Factors of distractions were time-stamped, and triangulated with physiological markers. Two cases illustrate the impact of surgical flow disruptions on the surgeons. Results The results indicate that expert surgeons’ mental schemata are better organized than novices. Additionally, the physiological markers indicate that novice surgeons display a higher HF at the start (tendency p = .059) and at the end of procedures (p = .001) when compared to experts. However, during longer procedures, expert surgeons have higher HF at the start (p = .041) and at the end (p = .026), than at the start and end of a short procedure. Conclusion Data collected during this pilot study showed that interruptions and disruptions affect novice and expert surgeons differently. Surgical flow disruption appears to be taxing on the surgeons’ mental, emotional and physiological resources; as a function of the length and nature of the disruptions. Several training curricula have incorporated the use of virtual reality programs to train surgeons to cope with the new technology and equipment. We recommend integrating interruptions and distractions in virtual reality training programs as these impact the surgeons’ pool of resources. |
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| title_short |
Effects of surgical flow disruptions on surgeons’ resources: a pilot study |
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https://dx.doi.org/10.1007/s00464-019-07239-2 |
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Rutkowski, A.-F. Ganni, S. Stepaniak, P. S. Jakimowicz, J. J. |
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Rutkowski, A.-F. Ganni, S. Stepaniak, P. S. Jakimowicz, J. J. |
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10.1007/s00464-019-07239-2 |
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2024-07-03T20:29:18.793Z |
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| score |
7.3998337 |