426 related articles for article (PubMed ID: 28662204)
1. 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]
2. Incidence of Hospitalization for Respiratory Syncytial Virus Infection amongst Children in Ontario, Canada: A Population-Based Study Using Validated Health Administrative Data.
Pisesky A; Benchimol EI; Wong CA; Hui C; Crowe M; Belair MA; Pojsupap S; Karnauchow T; O'Hearn K; Yasseen AS; McNally JD
PLoS One; 2016; 11(3):e0150416. PubMed ID: 26958849
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Assessing the validity of administrative health data for the identification of children and youth with autism spectrum disorder in Ontario.
Brooks JD; Arneja J; Fu L; Saxena FE; Tu K; Pinzaru VB; Anagnostou E; Nylen K; Saunders NR; Lu H; McLaughlin J; Bronskill SE
Autism Res; 2021 May; 14(5):1037-1045. PubMed ID: 33694293
[TBL] [Abstract][Full Text] [Related]
5. Health Services Use during Transition from Pediatric to Adult Care for Inflammatory Bowel Disease: A Population-Based Study Using Health Administrative Data.
Zhao X; Bjerre LM; Nguyen GC; Mack DR; Manuel DG; Hawken S; Mojaverian N; Bollegala N; Benchimol EI
J Pediatr; 2018 Dec; 203():280-287.e4. PubMed ID: 30266506
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. The Validity of Using Health Administrative Data To Identify the Involvement of Specialized Pediatric Palliative Care Teams in Children with Cancer in Ontario, Canada.
Widger K; Vadeboncoeur C; Zelcer S; Liu Y; Kassam A; Sutradhar R; Rapoport A; Nelson K; Wolfe J; Earle C; Pole JD; Gupta S
J Palliat Med; 2017 Nov; 20(11):1210-1216. PubMed ID: 28595025
[TBL] [Abstract][Full Text] [Related]
8. Multicenter study on the value of ICD-9-CM codes for case identification of celiac disease.
Tanpowpong P; Broder-Fingert S; Obuch JC; Rahni DO; Katz AJ; Leffler DA; Kelly CP; Camargo CA
Ann Epidemiol; 2013 Mar; 23(3):136-42. PubMed ID: 23313264
[TBL] [Abstract][Full Text] [Related]
9. Validation of infant immunization billing codes in administrative data.
Schwartz KL; Tu K; Wing L; Campitelli MA; Crowcroft NS; Deeks SL; Wilson SE; Wilson K; Gemmill I; Kwong JC
Hum Vaccin Immunother; 2015; 11(7):1840-7. PubMed ID: 26075651
[TBL] [Abstract][Full Text] [Related]
10. Prevalence and Incidence Trends of Attention Deficit/Hyperactivity Disorder in Children and Youth Aged 1-24 Years in Ontario, Canada: A Validation Study of Health Administrative Data Algorithms: Tendances de la prévalence et de l'incidence du trouble de déficit de l'attention/hyperactivité chez les enfants et les jeunes âgés de 1 à 24 ans, en Ontario, Canada: une étude de validation des algorithmes de données administratives de santé.
Butt DA; Jaakkimainen L; Tu K
Can J Psychiatry; 2024 May; 69(5):326-336. PubMed ID: 37960872
[TBL] [Abstract][Full Text] [Related]
11. Development of an administrative definition for celiac disease.
Duerksen DR; Lix LM; Leslie WD
BMC Res Notes; 2019 Oct; 12(1):661. PubMed ID: 31623688
[TBL] [Abstract][Full Text] [Related]
12. Development and validation of an algorithm of diagnostic and procedural codes for the identification of children hospitalized with a tracheostomy in Ontario, Canada.
McKelvie B; Pianosi K; Chan J; Tsampalieros A; Benchimol EI; Macdonald KI; Strychowshy J; Vaccani JP; McNally JD
Pediatr Pulmonol; 2020 Jun; 55(6):1503-1511. PubMed ID: 32250033
[TBL] [Abstract][Full Text] [Related]
13. Chiari malformation Type I surgery in pediatric patients. Part 1: validation of an ICD-9-CM code search algorithm.
Ladner TR; Greenberg JK; Guerrero N; Olsen MA; Shannon CN; Yarbrough CK; Piccirillo JF; Anderson RC; Feldstein NA; Wellons JC; Smyth MD; Park TS; Limbrick DD
J Neurosurg Pediatr; 2016 May; 17(5):519-24. PubMed ID: 26799412
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Validation of billing code combinations to identify cardiovascular magnetic resonance imaging scans in Ontario, Canada: a retrospective cohort study.
Roifman I; Qiu F; Connelly KA; Wright GA; Farkouh M; Jimenez-Juan L; Wijeysundera HC
BMJ Open; 2018 Oct; 8(10):e021370. PubMed ID: 30297345
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Development and validation of an algorithm using health administrative data to define patient attachment to primary care providers.
Jaakkimainen L; Bayoumi I; Glazier RH; Premji K; Kiran T; Khan S; Frymire E; Green ME
J Health Organ Manag; 2021 Jul; ahead-of-print(ahead-of-print):733-43. PubMed ID: 34304401
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of an administrative data algorithm to identify adults who have endoscopic sinus surgery for chronic rhinosinusitis.
Macdonald KI; Kilty SJ; van Walraven C
J Otolaryngol Head Neck Surg; 2017 May; 46(1):38. PubMed ID: 28482866
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Validation study of health administrative data algorithms to identify individuals experiencing homelessness and estimate population prevalence of homelessness in Ontario, Canada.
Richard L; Hwang SW; Forchuk C; Nisenbaum R; Clemens K; Wiens K; Booth R; Azimaee M; Shariff SZ
BMJ Open; 2019 Oct; 9(10):e030221. PubMed ID: 31594882
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
