Pan-Canadian standards for severe asthma in electronic medical records

Auteurs

M. Diane Lougheed, Asthma Research Unit, Kingston Health Sciences Centre and Department of Medicine, Queen’s University, Kingston, ON, Canada
Alison Morra, Asthma Research Unit, Kingston Health Sciences Centre and Department of Medicine, Queen’s University, Kingston, ON, Canada
Emma Bullock, Asthma Research Unit, Kingston Health Sciences Centre and Department of Medicine, Queen’s University, Kingston, ON, Canada
Noah Tregobov, Asthma Research Unit, Kingston Health Sciences Centre and Department of Medicine, Queen’s University, Kingston, ON, Canada
Dave Barber, Department of Family Medicine, Queen’s University, Kingston, ON, Canada
Louis-Philippe Boulet, Québec Heart and Lung Institute, Laval University, Québec City, QC, Canada
Sharon Dell, Department of Pediatrics, Child Health Evaluative Sciences, Hospital for Sick Children, University of Toronto, ON, Canada
Francine M. Ducharme, Departments of Pediatrics and of Social and Preventative Medicine, University of Montréal, Montréal, QC, Canada
Madonna Ferrone, Asthma Research Group Incorporated, Windsor, ON, Canada
J. Mark FitzGerald, Respiratory Medicine Division, University of British Columbia and Vancouver General Hospital, Vancouver, BC, Canada
Samir Gupta, Li Ka Shing Knowledge Institute of St. Michael’s Hospital, University of Toronto, Toronto, ON, Canada
Christopher Licskai, Asthma Research Group Incorporated, Windsor, ON, Canada, Department of Medicine, Western University, London, ON, Canada
Delanya Podgers, Department of Medicine, Kingston Health Sciences Centre, Kingston, ON, Canada
Parameswaran Nair, Division of Respirology, Department of Medicine, McMaster University and St Joseph’s Healthcare Hamilton, ON, Canada
Dhenuka Radhakrishnan, Division of Respirology, Children’s Hospital of Eastern Ontario, University of Ottawa, Ottawa, ON, Canada
Mohsen Sadatsafavi, Respiratory Evaluation Sciences Program, Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada
Itamar E. Tamari, Stonegate Community Health Centre, Toronto, ON, Canada
Teresa To, The Hospital for Sick Children, Research Institute and Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
Brandie Walker, Division of Respirology, University of Calgary, Calgary, AB, Canada
Connie L. Yang, Division of Respiratory Medicine, British Columbia Children’s Hospital, Vancouver, BC, Canada
Catherine Lemiere, Department of Medicine, University of Montréal, Montréal, QC, Canada

Type de document

Études primaires

Année de publication

2021

Langue

Anglais

Titre de la revue

Canadian Journal of Respiratory, Critical Care, and Sleep Medicine

Première page

391

Dernière page

399

Résumé

Rationale: Integration of guidelines for severe asthma (SA) management into electronic medical records (EMRs) may greatly enhance asthma care and outcomes.

Objectives: We aimed: 1) to develop an algorithm to identify SA patients in primary care EMRs using pan-Canadian standardized data elements and decision support that prompts adherence with best practice guidelines and 2) to develop EMR data standards for SA for use primarily by specialists.

Methods: A draft algorithm and list of elements were prepared, based upon the Canadian Thoracic Society criteria for suspected SA, Pan-Canadian Respiratory Standards Initiative for Electronic Health Records (PRESTINE) Asthma and Chronic Obstructive Pulmonary Disease (COPD) Working Group Report and published SA registries. Using a modified Delphi process, a working group (WG) of 18 experts voted on algorithm steps, elements and data definitions. Consensus was defined a priori as ≥ 60%. The algorithm, data elements and definitions were revised based on external stakeholder review.

Measurements and Main Results: The WG devised a 4-step algorithm to identify SA and identified minor revisions to PRESTINE Core asthma elements necessary for the algorithm. PRESTINE Core asthma elements were deemed Core for SA. The WG identified 108 Core and 48 Optional elements for SA. Of those, 26 Core elements and 15 Optional elements were unique to SA.

Conclusions: An algorithm has been proposed that will identify SA patients in primary care EMRs based upon PRESTINE Core asthma elements. This initiative has also identified SA EMR elements for use primarily by specialists. © 2021 Canadian Thoracic Society.

Mots-clés

Normalisation, Standardisation, Archives des services d'hygiène, Health service records, Asthme, Asthma, Canada

Numéro de projet IRSST

n/a

Citation recommandée

Lougheed, M. D., Morra, A., Bullock, E., Tregobov, N., Barber, D., Boulet, L.-P., . . . Lemiere, C. (2021). Pan-Canadian standards for severe asthma in electronic medical records. Canadian Journal of Respiratory, Critical Care, and Sleep Medicine, 5(6), 391-399. https://doi.org/10.1080/24745332.2021.1947758