Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol
Introduction The anatomic variants of congenital heart disease (CHD) are multiple. The increased survival of these patients and disposition into communities has led to an increase in their acute presentation to non-CHD experts in primary care clinics and emergency departments. Given the vulnerabilit...
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BMJ Publishing Group
2020-03-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/10/3/e035313.full |
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| author | Patricia Trbovich Azadeh Assadi Peter Laussen |
| author_facet | Patricia Trbovich Azadeh Assadi Peter Laussen |
| author_sort | Patricia Trbovich |
| collection | DOAJ |
| description | Introduction The anatomic variants of congenital heart disease (CHD) are multiple. The increased survival of these patients and disposition into communities has led to an increase in their acute presentation to non-CHD experts in primary care clinics and emergency departments. Given the vulnerability and fragility of these patients in the face of acute illness, new clinical decision support systems (CDSS) are urgently needed to better translate the best practice recommendations for the care of these patients. This study aims to understand the perceived confidence and macrocognitive processes of non-CHD experts (emergency medicine physicians) and CHD experts (paediatric cardiac intensivists) when treating children with CHD during acute illness and apply this to optimise the design of a CDSS (MyHeartPass™) for these patients.Methods and analysis The first phase of the study involves a survey of non-CHD experts and CHD experts to understand their perceived confidence as it relates to treating acutely ill patients with CHD. The second phase is a qualitative cognitive task analysis using critical decision method to characterise and compare the macrocognitive processes used by non-CHD experts and CHD experts during the critical decision making. In phases 3 and 4, heuristic evaluation and usability testing of the CDSS will be completed. These results will be used to inform design changes to the chosen CDSS (MyHeartPass™). In the final phase, a within-participant simulation design will be used to study the effect of the CDSS on clinical decision making compared with baseline (without use of CDSS).Ethics and dissemination Ethics approval from The Hospital for Sick Children in Toronto, Ontario, Canada has been obtained for all phases. Results will be published in peer-reviewed journals and presented at relevant conferences. On successful completion of these studies, it is anticipated that there will be a controlled implementation of the redesigned CDSS. |
| format | Article |
| id | doaj-art-2ac1adc9735c4b2b84b9df3197c5cba2 |
| institution | OA Journals |
| issn | 2044-6055 |
| language | English |
| publishDate | 2020-03-01 |
| publisher | BMJ Publishing Group |
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| series | BMJ Open |
| spelling | doaj-art-2ac1adc9735c4b2b84b9df3197c5cba22025-08-20T02:31:29ZengBMJ Publishing GroupBMJ Open2044-60552020-03-0110310.1136/bmjopen-2019-035313Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocolPatricia Trbovich0Azadeh Assadi1Peter Laussen26 University of Toronto Institute of Health Policy Management and Evaluation, Toronto, Ontario, Canada1 Department of Critical Care Medicine, Hospital for Sick Children, Toronto, Ontario, Canada1 Department of Critical Care Medicine, Hospital for Sick Children, Toronto, Ontario, CanadaIntroduction The anatomic variants of congenital heart disease (CHD) are multiple. The increased survival of these patients and disposition into communities has led to an increase in their acute presentation to non-CHD experts in primary care clinics and emergency departments. Given the vulnerability and fragility of these patients in the face of acute illness, new clinical decision support systems (CDSS) are urgently needed to better translate the best practice recommendations for the care of these patients. This study aims to understand the perceived confidence and macrocognitive processes of non-CHD experts (emergency medicine physicians) and CHD experts (paediatric cardiac intensivists) when treating children with CHD during acute illness and apply this to optimise the design of a CDSS (MyHeartPass™) for these patients.Methods and analysis The first phase of the study involves a survey of non-CHD experts and CHD experts to understand their perceived confidence as it relates to treating acutely ill patients with CHD. The second phase is a qualitative cognitive task analysis using critical decision method to characterise and compare the macrocognitive processes used by non-CHD experts and CHD experts during the critical decision making. In phases 3 and 4, heuristic evaluation and usability testing of the CDSS will be completed. These results will be used to inform design changes to the chosen CDSS (MyHeartPass™). In the final phase, a within-participant simulation design will be used to study the effect of the CDSS on clinical decision making compared with baseline (without use of CDSS).Ethics and dissemination Ethics approval from The Hospital for Sick Children in Toronto, Ontario, Canada has been obtained for all phases. Results will be published in peer-reviewed journals and presented at relevant conferences. On successful completion of these studies, it is anticipated that there will be a controlled implementation of the redesigned CDSS.https://bmjopen.bmj.com/content/10/3/e035313.full |
| spellingShingle | Patricia Trbovich Azadeh Assadi Peter Laussen Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol BMJ Open |
| title | Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol |
| title_full | Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol |
| title_fullStr | Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol |
| title_full_unstemmed | Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol |
| title_short | Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol |
| title_sort | mixed methods approach to understanding clinician macrocognition in the design of a clinical decision support tool a study protocol |
| url | https://bmjopen.bmj.com/content/10/3/e035313.full |
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