Validation of an algorithm to identify children with biopsy-proven celiac disease from within health administrative data: An assessment of health services utilization patterns in Ontario, Canada
| dc.contributor.author | Chan, Jason | |
| dc.contributor.author | Mack, David R | |
| dc.contributor.author | Manuel, Douglas G | |
| dc.contributor.author | Mojaverian, Nassim | |
| dc.contributor.author | de Nanassy, Joseph | |
| dc.contributor.author | Benchimol, Eric I | |
| dc.date.accessioned | 2019-03-27T16:13:17Z | |
| dc.date.available | 2019-03-27T16:13:17Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Celiac disease (CD) is a common pediatric illness, and awareness of gluten-related disorders including CD is growing. Health administrative data represents a unique opportunity to conduct population-based surveillance of this chronic condition and assess the impact of caring for children with CD on the health system. | en_US |
| dc.identifier.doi | 10.1371/journal.pone.0180338 | en_US |
| dc.identifier.uri | https://doi.org/10.20381/ruor-23231 | |
| dc.identifier.uri | http://hdl.handle.net/10393/38981 | |
| dc.language.iso | en | en_US |
| dc.subject | Biopsy | en_US |
| dc.subject | Celiac Disease | en_US |
| dc.subject | Child | en_US |
| dc.subject | Cohort Studies | en_US |
| dc.subject | Health Services | en_US |
| dc.subject | Humans | en_US |
| dc.subject | Ontario | en_US |
| dc.subject | Sensitivity and Specificity | en_US |
| dc.subject | Algorithms | en_US |
| dc.title | Validation of an algorithm to identify children with biopsy-proven celiac disease from within health administrative data: An assessment of health services utilization patterns in Ontario, Canada | en_US |
| dc.type | Article | en_US |
