Vos T, Abajobir AA, Abbafati C, Abbas KM, Abate KH, Abd-Allah F, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1211–59.

Article  Google Scholar 

Ivanova JI, Bergman R, Birnbaum HG, Colice GL, Silverman RA, McLaurin K. Effect of asthma exacerbations on health care costs among asthmatic patients with moderate and severe persistent asthma. J Allergy Clin Immunol. 2012;129(5):1229–35.

Article  Google Scholar 

Gold LS, Thompson P, Salvi S, Faruqi RA, Sullivan SD. Level of asthma control and health care utilization in Asia-Pacific countries. Respir Med. 2014;108(2):271–7.

Article  Google Scholar 

Klomp H, Lawson JA, Cockcroft DW, Chan BT, Cascagnette P, Gander L, et al. Examining asthma quality of care using a population-based approach. CMAJ. 2008;178(8):1013–21.

Article  Google Scholar 

Becerra BJ, Banta JE, Ghamsary M, Martin LR, Safdar N. Burden of mental illness on hospital and patient outcomes among asthma hospitalizations. J Asthma. 2016;53(4):392–7.

Article  Google Scholar 

Brigham EP, West NE. Diagnosis of asthma: diagnostic testing. Int Forum Allergy Rhinol. 2015;5(S1):S27-30.

Article  Google Scholar 

Gershon AS, Victor JC, Guan J, Aaron SD, To T. Pulmonary function testing in the diagnosis of asthma: a population study. Chest. 2012;141(5):1190–6.

Article  Google Scholar 

Miravitlles M, Andreu I, Romero Y, Sitjar S, Alteś A, Anton E. Difficulties in differential diagnosis of COPD and asthma in primary care. Br J Gen Pract. 2012;62(595):e68-75.

Article  Google Scholar 

Licskai C, Sands T, Ong M, Paolatto L, Nicoletti I. Using a knowledge translation framework to implement asthma clinical practice guidelines in primary care. Int J Qual Heal Care. 2012;24(5):538–46.

Article  Google Scholar 

Lougheed M, Minard J, Dworkin S, Juurlink M-A, Temple WJ, To T, et al. Pan-Canadian respiratory standards initiative for electronic health records (PRESTINE): 2011 National forum proceedings. Can Respir J. 2012;19(2):117–26.

Article  Google Scholar 

Lougheed MD, Taite A, ten Hove J, Morra A, Van Dam A, Ducharme FM, et al. Pan-Canadian asthma and COPD standards for electronic health records: a Canadian thoracic society expert working group report. Can J Respir Crit Care, Sleep Med. 2018;2(4):244–50.

Google Scholar 

Grimshaw JM, Eccles MP, Lavis JN, Hill SJ, Squires JE. Knowledge translation of research findings. Implement Sci. 2012;7(1):50.

Article  Google Scholar 

Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, et al. Lost in knowledge translation: time for a map? J Contin Educ Health Prof. 2006;26(1):13–24.

Article  Google Scholar 

Agache I, Annesi-Maesano I, Bonertz A, Branca F, Cant A, Fras Z, et al. Prioritizing research challenges and funding for allergy and asthma and the need for translational research—The European Strategic Forum on Allergic Diseases. Allergy Eur J Allergy Clin Immunol. 2019;74(11):2064–76.

Article  Google Scholar 

Bisgaard H, Bonnelykke K. Long-term studies of the natural history of asthma in childhood. J Allergy Clin Immunol. 2010;126(2):187–97.

Article  Google Scholar 

Olajos-Clow J, Minard J, Szpiro K, Juniper EF, Turcotte S, Jiang X, et al. Validation of an electronic version of the mini asthma quality of life questionnaire. Respir Med. 2010;104(5):658–67.

Article  Google Scholar 

Killorn KR, Dostaler SM, Olajos-Clow J, Turcotte SE, Minard JP, Holness DL, et al. The development and test re-test reliability of a work-related asthma screening questionnaire. J Asthma. 2014;52(3):279–88.

Article  Google Scholar 

Voorend-Van Bergen S, Vaessen-Verberne AA, De Jongste JC, Pijnenburg MW. Asthma control questionnaires in the management of asthma in children a review. Pediatr Pulmonol. 2015;50(2):202–8.

Article  Google Scholar 

Juniper E, O’Byrne P, Guyatt G, Ferrie P, King D. Development and validation of a questionnaire to measure asthma control. Eur Respir J. 1999;14(4):902–7.

Article  Google Scholar 

Olajos-Clow J, Minard J, Szpiro K, Juniper EF, Turcotte S, Jiang X, et al. Validation of an electronic version of the mini asthma quality of life questionnaire. Respir Med. 2010;104(5):658–67.

Article  Google Scholar 

Pralong JA, Moullec G, Suarthana E, Gérin M, Gautrin D, L’Archevêque J, et al. Screening for occupational asthma by using a self-administered questionnaire in a clinical setting. J Occup Environ Med. 2013;55(5):527–31.

Article  Google Scholar 

Carroll W. Limitations of asthma control questionnaires in the management and follow up of childhood asthma. Paediatr Respir Rev. 2013;14(4):229–31.

Google Scholar 

Kouri A, Yamada J, Sale JEM, Straus SE, Gupta S. Primary care pre-visit electronic patient questionnaire for asthma: uptake analysis and predictor modeling. J Med Internet Res. 2020;22(9):e19358.

Article  Google Scholar 

Yamada J, Kouri A, Simard SN, Segovia SA, Gupta S. Barriers and enablers to using a patient-facing electronic questionnaire: a qualitative theoretical domains framework analysis. J Med Internet Res. 2020;22(10):e19474.

Article  Google Scholar 

Sutton RT, Pincock D, Baumgart DC, Sadowski DC, Fedorak RN, Kroeker KI. An overview of clinical decision support systems: benefits, risks, and strategies for success. Digit Med. 2020;3(1):1–10.

Google Scholar 

Gupta S, Price C, Agarwal G, Chan D, Goel S, Boulet LP, et al. The Electronic Asthma Management System (eAMS) improves primary care asthma management. Eur Respir J. 2019;53(4):241–52.

Article  Google Scholar 

Bell LM, Grundmeier R, Localio R, Zorc J, Fiks AG, Zhang X, et al. Electronic health record based decision support to improve asthma care: a cluster-randomized trial. Pediatrics. 2010;125(4):770–7.

Article  Google Scholar 

Kuilboer MM, Van Wijk MAM, Mosseveld M, Van Der Does E, De Jongste JC, Overbeek SE, et al. Computed critiquing integrated into daily clinical practice affects physicians’ behavior: a randomized clinical trial with asthma critic. Methods Inf Med. 2006;45(4):447–54.

Article  Google Scholar 

Lougheed MD, Morra A, Bullock E, Tregobov N, Barber D, Boulet LP, et al. Pan-Canadian standards for severe asthma in electronic medical records. Can J Respir Crit Care, Sleep Med. 2021;5(6):391–9.

Google Scholar 

Zhang W, Ram S. A comprehensive analysis of triggers and risk factors for asthma based on machine learning and large heterogeneous data sources. Manag Inf Syst. 2020;44(1):305–49.

Article  Google Scholar 

Lam Shin Cheung J, Paolucci N, Price C, Sykes J, Gupta S. A system uptake analysis and guides checklist evaluation of the electronic asthma management system a point-of-care computerized clinical decision support system. J Am Med Informatics Assoc. 2020;27(5):726–37.

Article  Google Scholar 

Bousquet J. Electronic clinical decision support system (eCDSS) in the management of asthma: from theory to practice. Eur Respir J. 2019;53(4):1900339.

Article  Google Scholar 

Cafazzo JA, St-Cyr O. From discovery to design: the evolution of human factors in healthcare. Healthc Q. 2012;15(1):24–9.

Article  Google Scholar 

Lix LM, Ayles J, Bartholomew S, Cooke CA, Ellison J, Emond V, et al. The Canadian chronic disease surveillance system: a model for collaborative surveillance. Int J Popul Data Sci J. 2018;3(3):433–45.

Google Scholar 

Garies S, Birtwhistle R, Drummond N, Queenan J, Williamson T. Data resource profile: national electronic medical record data from the Canadian primary care sentinel surveillance network (CPCSSN). Int J Epidemiol. 2017;46(4):1091–9.

Article  Google Scholar 

Crighton EJ, Feng J, Gershon A, Guan J, To T. A spatial analysis of asthma prevalence in Ontario. Can J Public Heal. 2012;103(5):384–9.

Article  Google Scholar 

Klompas M, Cocoros NM, Menchaca JT, Erani D, Hafer E, Herrick B, et al. State & local chronic disease surveillance using electronic health record systems. Am J Public Health. 2017;107(9):1406–12.

Article  Google Scholar 

Gershon AS, Wang C, Guan J, Vasilevska-Ristovska J, Cicutto L, To T. Identifying patients with physician-diagnosed asthma in health administrative databases. Can Respir J. 2009;16(6):183–8.

Article  Google Scholar 

Newby C, Heaney LG, Menzies-Gow A, Niven RM, Mansur A, Bucknall C, et al. Statistical cluster analysis of the British thoracic society severe refractory asthma registry: clinical outcomes and phenotype Stability. PLoS ONE. 2014;9(7):e102987.

Article  Google Scholar 

Enilari O, Sinha S. The global impact of asthma in adult populations. Ann Glob Health. 2019;85(1):1–7.

Article  Google Scholar 

Bulathsinhala L, Eleangovan N, Heaney LG, Menzies-Gow A, Gibson PG, Peters M, et al. Development of the international severe asthma registry (ISAR): a modified delphi study. J Allergy Clin Immunol Pract. 2019;7(2):578–88.

Article  Google Scholar 

van Bragt JJMH, Hansen S, Djukanovic R, Bel EHD, ten Brinke A, Wagers SS, et al. SHARP: enabling generation of real-world evidence on a pan-European scale to improve the lives of individuals with severe asthma. ERJ Open Res. 2021;7(2):64–77.

Google Scholar 

Wenzel SE, Busse WW. Severe asthma: lessons from the severe asthma research program. J Allergy Clin Immunol. 2007;119(1):14–21.

Article  Google Scholar 

Gliklich RE, Castro M, Leavy MB, Press VG, Barochia A, Carroll CL, et al. Harmonized outcome measures for use in asthma patient registries and clinical practice. J Allergy Clin Immunol. 2019;144(3):671–81.

Article  Google Scholar 

Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard-Jensen J, French SD, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012;2012(6):59–65.

Google Scholar 

Minard JP, Dostaler SM, Taite AK, Olajos-Clow JG, Sands TW, Licskai CJ, et al. Development and implementation of an electronic asthma record for primary care: integrating guidelines into practice. J Asthma. 2014;51(1):58–68.

Article  Google Scholar 

Williamson T, Green ME, Birtwhistle R, Khan S, Garies S, Wong ST, et al. Validating the 8 CPCSSN case definitions for chronic disease surveillance in a primary care database of electronic health records. Ann Fam Med. 2014;12(4):367–72.

Article  Google Scholar 

Taite A, Podgers D, Olajos-Clow J, Patricia M, Schooley J, Day A, et al. 2017 Enabling asthma management and outcomes monitoring through standardized EMR data and eTools. Eur Respir J. 2017;50(61):PA2778

Tomasallo CD, Hanrahan LP, Tandias A, Chang TS, Cowan KJ, Guilbert TW. Estimating Wisconsin asthma prevalence using clinical electronic health records and public health data. Am J Public Health. 2014;104(1):65–73.

Article  Google Scholar 

White GE, Seaman C, Filios MS, Mazurek JM, Flattery J, Harrison RJ, et al. Gender differences in work-related asthma: surveillance data from California, Massachusetts, Michigan, and New Jersey, 1993–2008. J Asthma. 2014;51(7):691–702.

Article  Google Scholar 

Kwon SC, Song J, Kim Y, Calvert GM. Work-related asthma in Korea—findings from the korea work-related asthma surveillance (KOWAS) program, 2004–2009. Allergy Asthma Immunol Res. 2014;7(1):51–9.

Article