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Capturing intraoperative process deviations using a direct observational approach: the glitch method

OBJECTIVES: To develop a sensitive, reliable tool for enumerating and evaluating technical process imperfections during surgical operations. DESIGN: Prospective cohort study with direct observation. SETTING: Operating theatres on five sites in three National Health Service Trusts. PARTICIPANTS: Staf...

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Autores principales: Morgan, Lauren, Robertson, Eleanor, Hadi, Mohammed, Catchpole, Ken, Pickering, Sharon, New, Steve, Collins, Gary, McCulloch, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845041/
https://www.ncbi.nlm.nih.gov/pubmed/24282244
http://dx.doi.org/10.1136/bmjopen-2013-003519
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author Morgan, Lauren
Robertson, Eleanor
Hadi, Mohammed
Catchpole, Ken
Pickering, Sharon
New, Steve
Collins, Gary
McCulloch, Peter
author_facet Morgan, Lauren
Robertson, Eleanor
Hadi, Mohammed
Catchpole, Ken
Pickering, Sharon
New, Steve
Collins, Gary
McCulloch, Peter
author_sort Morgan, Lauren
collection PubMed
description OBJECTIVES: To develop a sensitive, reliable tool for enumerating and evaluating technical process imperfections during surgical operations. DESIGN: Prospective cohort study with direct observation. SETTING: Operating theatres on five sites in three National Health Service Trusts. PARTICIPANTS: Staff taking part in elective and emergency surgical procedures in orthopaedics, trauma, vascular and plastic surgery; including anaesthetists, surgeons, nurses and operating department practitioners. OUTCOME MEASURES: Reliability and validity of the glitch count method; frequency, type, temporal pattern and rate of glitches in relation to site and surgical specialty. RESULTS: The glitch count has construct and face validity, and category agreement between observers is good (κ=0.7). Redundancy between pairs of observers significantly improves the sensitivity over a single observation. In total, 429 operations were observed and 5742 glitches were recorded (mean 14 per operation, range 0–83). Specialty-specific glitch rates varied from 6.9 to 8.3/h of operating (ns). The distribution of glitch categories was strikingly similar across specialties, with distractions the commonest type in all cases. The difference in glitch rate between specialty teams operating at different sites was larger than that between specialties (range 6.3–10.5/h, p<0.001). Forty per cent of glitches occurred in the first quarter of an operation, and only 10% occurred in the final quarter. CONCLUSIONS: The glitch method allows collection of a rich dataset suitable for analysing the changes following interventions to improve process safety, and appears reliable and sensitive. Glitches occur more frequently in the early stages of an operation. Hospital environment, culture and work systems may influence the operative process more strongly than the specialty.
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spelling pubmed-38450412013-12-02 Capturing intraoperative process deviations using a direct observational approach: the glitch method Morgan, Lauren Robertson, Eleanor Hadi, Mohammed Catchpole, Ken Pickering, Sharon New, Steve Collins, Gary McCulloch, Peter BMJ Open Research Methods OBJECTIVES: To develop a sensitive, reliable tool for enumerating and evaluating technical process imperfections during surgical operations. DESIGN: Prospective cohort study with direct observation. SETTING: Operating theatres on five sites in three National Health Service Trusts. PARTICIPANTS: Staff taking part in elective and emergency surgical procedures in orthopaedics, trauma, vascular and plastic surgery; including anaesthetists, surgeons, nurses and operating department practitioners. OUTCOME MEASURES: Reliability and validity of the glitch count method; frequency, type, temporal pattern and rate of glitches in relation to site and surgical specialty. RESULTS: The glitch count has construct and face validity, and category agreement between observers is good (κ=0.7). Redundancy between pairs of observers significantly improves the sensitivity over a single observation. In total, 429 operations were observed and 5742 glitches were recorded (mean 14 per operation, range 0–83). Specialty-specific glitch rates varied from 6.9 to 8.3/h of operating (ns). The distribution of glitch categories was strikingly similar across specialties, with distractions the commonest type in all cases. The difference in glitch rate between specialty teams operating at different sites was larger than that between specialties (range 6.3–10.5/h, p<0.001). Forty per cent of glitches occurred in the first quarter of an operation, and only 10% occurred in the final quarter. CONCLUSIONS: The glitch method allows collection of a rich dataset suitable for analysing the changes following interventions to improve process safety, and appears reliable and sensitive. Glitches occur more frequently in the early stages of an operation. Hospital environment, culture and work systems may influence the operative process more strongly than the specialty. BMJ Publishing Group 2013-11-25 /pmc/articles/PMC3845041/ /pubmed/24282244 http://dx.doi.org/10.1136/bmjopen-2013-003519 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Research Methods
Morgan, Lauren
Robertson, Eleanor
Hadi, Mohammed
Catchpole, Ken
Pickering, Sharon
New, Steve
Collins, Gary
McCulloch, Peter
Capturing intraoperative process deviations using a direct observational approach: the glitch method
title Capturing intraoperative process deviations using a direct observational approach: the glitch method
title_full Capturing intraoperative process deviations using a direct observational approach: the glitch method
title_fullStr Capturing intraoperative process deviations using a direct observational approach: the glitch method
title_full_unstemmed Capturing intraoperative process deviations using a direct observational approach: the glitch method
title_short Capturing intraoperative process deviations using a direct observational approach: the glitch method
title_sort capturing intraoperative process deviations using a direct observational approach: the glitch method
topic Research Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845041/
https://www.ncbi.nlm.nih.gov/pubmed/24282244
http://dx.doi.org/10.1136/bmjopen-2013-003519
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