228 related articles for article (PubMed ID: 21738786)
1. Validation of case-finding algorithms derived from administrative data for identifying adults living with human immunodeficiency virus infection.
Antoniou T; Zagorski B; Loutfy MR; Strike C; Glazier RH
PLoS One; 2011; 6(6):e21748. PubMed ID: 21738786
[TBL] [Abstract][Full Text] [Related]
2. 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.
Chan J; Mack DR; Manuel DG; Mojaverian N; de Nanassy J; Benchimol EI
PLoS One; 2017; 12(6):e0180338. PubMed ID: 28662204
[TBL] [Abstract][Full Text] [Related]
3. Application and validation of case-finding algorithms for identifying individuals with human immunodeficiency virus from administrative data in British Columbia, Canada.
Nosyk B; Colley G; Yip B; Chan K; Heath K; Lima VD; Gilbert M; Hogg RS; Harrigan PR; Montaner JS;
PLoS One; 2013; 8(1):e54416. PubMed ID: 23382898
[TBL] [Abstract][Full Text] [Related]
4. Identifying diabetes cases from administrative data: a population-based validation study.
Lipscombe LL; Hwee J; Webster L; Shah BR; Booth GL; Tu K
BMC Health Serv Res; 2018 May; 18(1):316. PubMed ID: 29720153
[TBL] [Abstract][Full Text] [Related]
5. Validation of international algorithms to identify adults with inflammatory bowel disease in health administrative data from Ontario, Canada.
Benchimol EI; Guttmann A; Mack DR; Nguyen GC; Marshall JK; Gregor JC; Wong J; Forster AJ; Manuel DG
J Clin Epidemiol; 2014 Aug; 67(8):887-96. PubMed ID: 24774473
[TBL] [Abstract][Full Text] [Related]
6. Accuracy of Canadian health administrative databases in identifying patients with rheumatoid arthritis: a validation study using the medical records of rheumatologists.
Widdifield J; Bernatsky S; Paterson JM; Tu K; Ng R; Thorne JC; Pope JE; Bombardier C
Arthritis Care Res (Hoboken); 2013 Oct; 65(10):1582-91. PubMed ID: 23592598
[TBL] [Abstract][Full Text] [Related]
7. Application of Recursive Partitioning to Derive and Validate a Claims-Based Algorithm for Identifying Keratinocyte Carcinoma (Nonmelanoma Skin Cancer).
Chan AW; Fung K; Tran JM; Kitchen J; Austin PC; Weinstock MA; Rochon PA
JAMA Dermatol; 2016 Oct; 152(10):1122-1127. PubMed ID: 27533718
[TBL] [Abstract][Full Text] [Related]
8. Validation of Algorithms to Identify Invasive Electrophysiology Procedures Using Administrative Data in Ontario, Canada.
Singh SM; Webster L; Calzavara A; Wijeysundera HC
Med Care; 2017 Jun; 55(6):e44-e50. PubMed ID: 25415560
[TBL] [Abstract][Full Text] [Related]
9. Validation of case-ascertainment algorithms using health administrative data to identify people who inject drugs in Ontario, Canada.
Greenwald ZR; Werb D; Feld JJ; Austin PC; Fridman D; Bayoumi AM; Gomes T; Kendall CE; Lapointe-Shaw L; Scheim AI; Bartlett SR; Benchimol EI; Bouck Z; Boucher LM; Greenaway C; Janjua NZ; Leece P; Wong WWL; Sander B; Kwong JC
J Clin Epidemiol; 2024 Jun; 170():111332. PubMed ID: 38522754
[TBL] [Abstract][Full Text] [Related]
10. A validation study of administrative data algorithms to identify patients with Parkinsonism with prevalence and incidence trends.
Butt DA; Tu K; Young J; Green D; Wang M; Ivers N; Jaakkimainen L; Lam R; Guttman M
Neuroepidemiology; 2014; 43(1):28-37. PubMed ID: 25323155
[TBL] [Abstract][Full Text] [Related]
11. Validation of an algorithm to detect severe MS relapses in administrative health databases.
Marriott JJ; Chen H; Fransoo R; Marrie RA
Mult Scler Relat Disord; 2018 Jan; 19():134-139. PubMed ID: 29223870
[TBL] [Abstract][Full Text] [Related]
12. Assessing the validity of using administrative data to identify patients with epilepsy.
Tu K; Wang M; Jaakkimainen RL; Butt D; Ivers NM; Young J; Green D; Jetté N
Epilepsia; 2014 Feb; 55(2):335-43. PubMed ID: 24417710
[TBL] [Abstract][Full Text] [Related]
13. Validation of diagnostic codes for intussusception and quantification of childhood intussusception incidence in Ontario, Canada: a population-based study.
Ducharme R; Benchimol EI; Deeks SL; Hawken S; Fergusson DA; Wilson K
J Pediatr; 2013 Oct; 163(4):1073-9.e3. PubMed ID: 23809052
[TBL] [Abstract][Full Text] [Related]
14. Identification of Physician-Diagnosed Alzheimer's Disease and Related Dementias in Population-Based Administrative Data: A Validation Study Using Family Physicians' Electronic Medical Records.
Jaakkimainen RL; Bronskill SE; Tierney MC; Herrmann N; Green D; Young J; Ivers N; Butt D; Widdifield J; Tu K
J Alzheimers Dis; 2016 Aug; 54(1):337-49. PubMed ID: 27567819
[TBL] [Abstract][Full Text] [Related]
15. Validation of a type 1 diabetes algorithm using electronic medical records and administrative healthcare data to study the population incidence and prevalence of type 1 diabetes in Ontario, Canada.
Weisman A; Tu K; Young J; Kumar M; Austin PC; Jaakkimainen L; Lipscombe L; Aronson R; Booth GL
BMJ Open Diabetes Res Care; 2020 Jun; 8(1):. PubMed ID: 32565422
[TBL] [Abstract][Full Text] [Related]
16. Validity of administrative database code algorithms to identify vascular access placement, surgical revisions, and secondary patency.
Al-Jaishi AA; Moist LM; Oliver MJ; Nash DM; Fleet JL; Garg AX; Lok CE
J Vasc Access; 2018 Nov; 19(6):561-568. PubMed ID: 29529926
[TBL] [Abstract][Full Text] [Related]
17. Identifying Patients With Atrial Fibrillation in Administrative Data.
Tu K; Nieuwlaat R; Cheng SY; Wing L; Ivers N; Atzema CL; Healey JS; Dorian P
Can J Cardiol; 2016 Dec; 32(12):1561-1565. PubMed ID: 27742459
[TBL] [Abstract][Full Text] [Related]
18. Development of an algorithm to identify preoperative medical consultations using administrative data.
Wijeysundera DN; Austin PC; Hux JE; Beattie WS; Buckley DN; Laupacis A
Med Care; 2009 Dec; 47(12):1258-64. PubMed ID: 19890221
[TBL] [Abstract][Full Text] [Related]
19. Identification of incident pancreatic cancer in Ontario administrative health data: A validation study.
Wu JW; Azoulay L; Huang A; Paterson M; Wu F; Secrest MH; Filion KB
Pharmacoepidemiol Drug Saf; 2020 Jan; 29 Suppl 1():78-85. PubMed ID: 30288856
[TBL] [Abstract][Full Text] [Related]
20. Use of physician billing claims to identify infections in children.
Hwee J; Sung L; Kwong JC; Sutradhar R; Tu K; Pole JD
PLoS One; 2018; 13(11):e0207468. PubMed ID: 30419045
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
