Abstract
Current decision support interventions for airway management in anaesthesia lack the application of Human Factors Engineering; leading to interventions that can be disruptive, inefficient and error-inducing. This study followed a decision-centred design process to identify decision support that can assist anaesthesia teams with challenging airway management situations. Field observations, Critical Decision Method interviews and focus groups were conducted to identify the most difficult decisions and their requirements. Data triangulation narrowed the focus to key decisions related to preparation and planning, and the transitioning between airway techniques during difficulties. Five decision-support interventions were identified and positively rated by anaesthesia team members in relation to their perceived effectiveness. An organized airway equipment trolley was chosen as the most beneficial decision support intervention. This study reiterated the key importance of both Human Factors Engineering and data triangulation when designing for healthcare.
| Original language | English |
|---|---|
| Pages (from-to) | 70-82 |
| Number of pages | 13 |
| Journal | Applied Ergonomics |
| Volume | 77 |
| DOIs | |
| Publication status | Published - 1 May 2019 |
Keywords
- Airway management
- Cognitive task analysis
- Decision-centred design
Cite this
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Decision-centred design in healthcare : the process of identifying a decision support tool for airway management. / Schnittker, R.; Marshall, S. D.; Horberry, T.; Young, K.
In: Applied Ergonomics, Vol. 77, 01.05.2019, p. 70-82.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Decision-centred design in healthcare
T2 - the process of identifying a decision support tool for airway management
AU - Schnittker, R.
AU - Marshall, S. D.
AU - Horberry, T.
AU - Young, K.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Current decision support interventions for airway management in anaesthesia lack the application of Human Factors Engineering; leading to interventions that can be disruptive, inefficient and error-inducing. This study followed a decision-centred design process to identify decision support that can assist anaesthesia teams with challenging airway management situations. Field observations, Critical Decision Method interviews and focus groups were conducted to identify the most difficult decisions and their requirements. Data triangulation narrowed the focus to key decisions related to preparation and planning, and the transitioning between airway techniques during difficulties. Five decision-support interventions were identified and positively rated by anaesthesia team members in relation to their perceived effectiveness. An organized airway equipment trolley was chosen as the most beneficial decision support intervention. This study reiterated the key importance of both Human Factors Engineering and data triangulation when designing for healthcare.
AB - Current decision support interventions for airway management in anaesthesia lack the application of Human Factors Engineering; leading to interventions that can be disruptive, inefficient and error-inducing. This study followed a decision-centred design process to identify decision support that can assist anaesthesia teams with challenging airway management situations. Field observations, Critical Decision Method interviews and focus groups were conducted to identify the most difficult decisions and their requirements. Data triangulation narrowed the focus to key decisions related to preparation and planning, and the transitioning between airway techniques during difficulties. Five decision-support interventions were identified and positively rated by anaesthesia team members in relation to their perceived effectiveness. An organized airway equipment trolley was chosen as the most beneficial decision support intervention. This study reiterated the key importance of both Human Factors Engineering and data triangulation when designing for healthcare.
KW - Airway management
KW - Cognitive task analysis
KW - Decision-centred design
UR - http://www.scopus.com/inward/record.url?scp=85061089378&partnerID=8YFLogxK
U2 - 10.1016/j.apergo.2019.01.005
DO - 10.1016/j.apergo.2019.01.005
M3 - Article
VL - 77
SP - 70
EP - 82
JO - Applied Ergonomics
JF - Applied Ergonomics
SN - 0003-6870
ER -