Literature DB >> 30832780

Decision-centred design in healthcare: The process of identifying a decision support tool for airway management.

R Schnittker1, S D Marshall2, T Horberry3, K Young4.   

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.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Airway management; Cognitive task analysis; Decision-centred design

Mesh:

Year:  2019        PMID: 30832780     DOI: 10.1016/j.apergo.2019.01.005

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  5 in total

1.  Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study.

Authors:  Pascale Carayon; Peter Hoonakker; Ann Schoofs Hundt; Megan Salwei; Douglas Wiegmann; Roger L Brown; Peter Kleinschmidt; Clair Novak; Michael Pulia; Yudi Wang; Emily Wirkus; Brian Patterson
Journal:  BMJ Qual Saf       Date:  2019-11-27       Impact factor: 7.035

2.  Application of Human Factors Methods to Understand Missed Follow-up of Abnormal Test Results.

Authors:  Deevakar Rogith; Tyler Satterly; Hardeep Singh; Dean F Sittig; Elise Russo; Michael W Smith; Don Roosan; Viraj Bhise; Daniel R Murphy
Journal:  Appl Clin Inform       Date:  2020-10-21       Impact factor: 2.342

3.  Understanding Clinician Macrocognition to Inform the Design of a Congenital Heart Disease Clinical Decision Support System.

Authors:  Azadeh Assadi; Peter C Laussen; Gabrielle Freire; Patricia Trbovich
Journal:  Front Cardiovasc Med       Date:  2022-02-03

Review 4.  The use of cognitive task analysis in clinical and health services research - a systematic review.

Authors:  Lizzie Swaby; Peiyao Shu; Daniel Hind; Katie Sutherland
Journal:  Pilot Feasibility Stud       Date:  2022-03-08

5.  Revisiting concepts of evidence in implementation science.

Authors:  Ross C Brownson; Rachel C Shelton; Elvin H Geng; Russell E Glasgow
Journal:  Implement Sci       Date:  2022-04-12       Impact factor: 7.960

  5 in total

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