Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol

被引:3
|
作者
Assadi, Azadeh [1 ,2 ]
Laussen, Peter [1 ,3 ]
Trbovich, Patricia [4 ,5 ]
机构
[1] Hosp Sick Children, Dept Crit Care Med, Toronto, ON, Canada
[2] Univ Toronto, Fac Appl Sci & Engn, Inst Biomat & Biomed Engn, Toronto, ON, Canada
[3] Univ Toronto, Inst Med Sci, Toronto, ON, Canada
[4] North York Gen Hosp, Dept Res & Innovat, Human Era, Toronto, ON, Canada
[5] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
来源
BMJ OPEN | 2020年 / 10卷 / 03期
关键词
EMERGENCY-DEPARTMENT; PHYSICIANS; INFANTS; SYSTEMS; CARE;
D O I
10.1136/bmjopen-2019-035313
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 (MyHeartPassT) 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 (MyHeartPassT). 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.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Understanding Clinician Macrocognition to Inform the Design of a Congenital Heart Disease Clinical Decision Support System
    Assadi, Azadeh
    Laussen, Peter C.
    Freire, Gabrielle
    Trbovich, Patricia
    [J]. FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [2] Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study
    Huguet, Nathalie
    Ezekiel-Herrera, David
    Gunn, Rose
    Pierce, Alison
    O'Malley, Jean
    Jones, Matthew
    Marino, Miguel
    Gold, Rachel
    [J]. APPLIED CLINICAL INFORMATICS, 2023, 14 (03): : 594 - 599
  • [3] Facilitators and Barriers to Interacting With Clinical Decision Support in the ICU: A Mixed-Methods Approach
    Wong, Adrian
    Berenbrok, Lucas A.
    Snader, Lauren
    Soh, Yu Hyeon
    Kumar, Vishakha K.
    Javed, Muhammad Ali
    Bates, David W.
    Sorce, Lauren R.
    Kane-Gill, Sandra L.
    [J]. CRITICAL CARE EXPLORATIONS, 2023, 5 (09)
  • [4] An Electronic Clinical Decision Support System for the Assessment and Management of Suicidality in Primary Care: Protocol for a Mixed-Methods Study
    Horrocks, Matthew
    Michail, Maria
    Aubeeluck, Aimee
    Wright, Nicola
    Morriss, Richard
    [J]. JMIR RESEARCH PROTOCOLS, 2018, 7 (12):
  • [5] Needs assessment for a decision support tool in oral cancer requiring major resection and reconstruction: a mixed-methods study protocol
    Forner, David
    Hong, Paul
    Corsten, Martin
    Rac, Valeria E.
    Martino, Rosemary
    Shuman, Andrew G.
    Chepeha, Douglas B.
    Sawka, Anna M.
    de Almeida, John R.
    Irish, Jonathan C.
    Brown, Dale H.
    Taylor, S. Mark
    Gullane, Patrick J.
    Trites, Jonathan R.
    Gilbert, Ralph
    Rigby, Matthew H.
    Ringash, Jolie
    Goldstein, David
    [J]. BMJ OPEN, 2020, 10 (11): : e036969
  • [6] Design and validation of a new Healthcare Systems Usability Scale (HSUS) for clinical decision support systems: a mixed-methods approach
    Ghorayeb, Abir
    Darbyshire, Julie L.
    Wronikowska, Marta W.
    Watkinson, Peter J.
    [J]. BMJ OPEN, 2023, 13 (01):
  • [7] Understanding Design Tradeoffs for Health Technologies: A Mixed-Methods Approach
    O'Leary, Katie
    Eschler, Jordan
    Kendall, Logan
    Vizer, Lisa M.
    Ralston, James D.
    Pratt, Wanda
    [J]. CHI 2015: PROCEEDINGS OF THE 33RD ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2015, : 4151 - 4160
  • [8] Pediatric Clinician Needs for an EHR Weight Management Tool: A Mixed-Methods Study
    Braddock, Amy
    Koopman, Richelle
    Tosh, Aneesh
    Proffitt, Rachel
    Bosworth, Kristin
    Ghosh, Parijat
    Montgomery, Emma
    Flowers, Lauren
    [J]. OBESITY, 2023, 31 : 276 - 276
  • [9] A WEB-BASED CONTRACEPTIVE DECISION SUPPORT TOOL FOR PEOPLE WITH CHRONIC CONDITIONS: A MIXED-METHODS INTERVENTION DESIGN AND PILOT STUDY
    Wu, J. P.
    Van Sparrentak, M.
    [J]. CONTRACEPTION, 2023, 127 : 27 - 27
  • [10] Feasibility of implementing Extubation Advisor, a clinical decision support tool to improve extubation decision-making in the ICU: a mixed-methods observational study
    Sarti, Aimee J.
    Zheng, Katina
    Herry, Christophe L.
    Sutherland, Stephanie
    Scales, Nathan B.
    Watpool, Irene
    Porteous, Rebecca
    Hickey, Michael
    Anstee, Caitlin
    Fazekas, Anna
    Ramsay, Tim
    Burns, Karen E. A.
    Seely, Andrew J. E.
    [J]. BMJ OPEN, 2021, 11 (08):