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Omand JA, Maguire JL, O'Connor DL, Parkin PC, Birken CS, Thorpe KE, Zhu J, To T. Agreement between a health claims algorithm and parent-reported asthma in young children. Pediatr Pulmonol 2019; 54:1547-1556. [PMID: 31332948 DOI: 10.1002/ppul.24432] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 06/12/2019] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Asthma prevalence is commonly measured in national surveys by questionnaire. The Ontario Asthma Surveillance Information System (OASIS) developed a validated health claims diagnosis algorithm to estimate asthma prevalence. The primary objective was to assess the agreement between two approaches of measuring asthma in young children. Secondary objectives were to identify concordant and discordant pairs, and to identify factors associated with disagreement. STUDY DESIGN AND SETTING A measurement study to evaluate the agreement between the OASIS algorithm and parent-reported asthma (criterion standard). Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated. Multivariable logistic regression was used to determine factors associated with disagreement. RESULTS Healthy children aged 1 to 5 years (n =3642) participating in the TARGet Kids! practice based research network 2008-2013 in Toronto, Canada were included. Prevalence of asthma was 14% and 6% by the OASIS algorithm and parent-reported asthma, respectively. The Kappa statistic was 0.43, sensitivity 81%, specificity 90%, PPV 34%, and NPV 99%. There were 3249 concordant and 393 discordant pairs. Statistically significant factors associated with asthma identified by OASIS but not parent report included: male sex, higher zBMI, and parent history of asthma. Males were less likely to have asthma identified by parent report but not OASIS. CONCLUSION The OASIS algorithm identified more asthma cases in young children than parent-reported asthma. The OASIS algorithm had high sensitivity, specificity, and NPV but low PPV relative to parent-reported asthma. These findings need replication in other populations.
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Affiliation(s)
- Jessica A Omand
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jonathon L Maguire
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Division of Paediatric Medicine and the Paediatric Outcomes Research Team, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Deborah L O'Connor
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Patricia C Parkin
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Division of Paediatric Medicine and the Paediatric Outcomes Research Team, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Catherine S Birken
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Division of Paediatric Medicine and the Paediatric Outcomes Research Team, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Kevin E Thorpe
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Jingqin Zhu
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Teresa To
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
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