467 related articles for article (PubMed ID: 15720709)
1. Is there value in using physician billing claims along with other administrative health care data to document the burden of adolescent injury? An exploratory investigation with comparison to self-reports in Ontario, Canada.
Potter BK; Manuel D; Speechley KN; Gutmanis IA; Campbell MK; Koval JJ
BMC Health Serv Res; 2005 Feb; 5(1):15. PubMed ID: 15720709
[TBL] [Abstract][Full Text] [Related]
2. Capturing paediatric injury in Ontario: differences in injury incidence using self-reported survey and health service utilisation data.
White HL; Macpherson AK
Inj Prev; 2012 Feb; 18(1):33-7. PubMed ID: 21646243
[TBL] [Abstract][Full Text] [Related]
3. Using billing data to describe patterns in asthma-related emergency department visits in children.
Reeves MJ; Lyon-Callo S; Brown MD; Rosenman K; Wasilevich E; Williams SG
Pediatrics; 2006 Apr; 117(4 Pt 2):S106-17. PubMed ID: 16777826
[TBL] [Abstract][Full Text] [Related]
4. Risk adjustment using administrative data-based and survey-derived methods for explaining physician utilization.
Sibley LM; Moineddin R; Agha MM; Glazier RH
Med Care; 2010 Feb; 48(2):175-82. PubMed ID: 19927013
[TBL] [Abstract][Full Text] [Related]
5. Concordance between childhood injury diagnoses from two sources: an injury surveillance system and a physician billing claims database.
Kostylova A; Swaine B; Feldman D
Inj Prev; 2005 Jun; 11(3):186-90. PubMed ID: 15933413
[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. The excess burden of osteoarthritis in the province of Ontario, Canada.
Tarride JE; Haq M; O'Reilly DJ; Bowen JM; Xie F; Dolovich L; Goeree R
Arthritis Rheum; 2012 Apr; 64(4):1153-61. PubMed ID: 22081470
[TBL] [Abstract][Full Text] [Related]
8. National surveillance for asthma--United States, 1980-2004.
Moorman JE; Rudd RA; Johnson CA; King M; Minor P; Bailey C; Scalia MR; Akinbami LJ;
MMWR Surveill Summ; 2007 Oct; 56(8):1-54. PubMed ID: 17947969
[TBL] [Abstract][Full Text] [Related]
9. A population-based assessment of systemic lupus erythematosus incidence and prevalence--results and implications of using administrative data for epidemiological studies.
Bernatsky S; Joseph L; Pineau CA; Tamblyn R; Feldman DE; Clarke AE
Rheumatology (Oxford); 2007 Dec; 46(12):1814-8. PubMed ID: 18032538
[TBL] [Abstract][Full Text] [Related]
10. Using a linked data set to determine the factors associated with utilization and costs of family physician services in Ontario: effects of self-reported chronic conditions.
Iron KS; Manuel DG; Williams J
Chronic Dis Can; 2003; 24(4):124-32. PubMed ID: 14733762
[TBL] [Abstract][Full Text] [Related]
11. Using administrative health data to identify individuals with intellectual and developmental disabilities: a comparison of algorithms.
Lin E; Balogh R; Cobigo V; Ouellette-Kuntz H; Wilton AS; Lunsky Y
J Intellect Disabil Res; 2013 May; 57(5):462-77. PubMed ID: 23116328
[TBL] [Abstract][Full Text] [Related]
12. National Ambulatory Medical Care Survey: 1997 summary.
Woodwell DA
Adv Data; 1999 May; (305):1-28. PubMed ID: 10662356
[TBL] [Abstract][Full Text] [Related]
13. Comparison of Rates of Hospitalization and Emergency Department Visits Using Self-Report and South Carolina Administrative Billing Data Among a Population-Based Cohort With Spinal Cord Injury.
Saunders LL; Murday D; Corley B; Cao Y; Krause JS
Arch Phys Med Rehabil; 2016 Sep; 97(9):1481-1486. PubMed ID: 27084264
[TBL] [Abstract][Full Text] [Related]
14. Chronic obstructive pulmonary disease surveillance--United States, 1971-2000.
Mannino DM; Homa DM; Akinbami LJ; Ford ES; Redd SC
MMWR Surveill Summ; 2002 Aug; 51(6):1-16. PubMed ID: 12198919
[TBL] [Abstract][Full Text] [Related]
15. High-billing general practitioners and family physicians in Ontario: how do they do it? An analysis of practice patterns of GP/FPs with annual billings over $400,000.
Chan B; Anderson GM; Thériault ME
CMAJ; 1998 Mar; 158(6):741-6. PubMed ID: 9538852
[TBL] [Abstract][Full Text] [Related]
16. Chronic obstructive pulmonary disease surveillance--United States, 1971-2000.
Mannino DM; Homa DM; Akinbami LJ; Ford ES; Redd SC
Respir Care; 2002 Oct; 47(10):1184-99. PubMed ID: 12354338
[TBL] [Abstract][Full Text] [Related]
17. Diagnostic, pharmacy-based, and self-reported health measures in risk equalization models.
Stam PJ; van Vliet RC; van de Ven WP
Med Care; 2010 May; 48(5):448-57. PubMed ID: 20393368
[TBL] [Abstract][Full Text] [Related]
18. Administrative data algorithms can describe ambulatory physician utilization.
Shah BR; Hux JE; Laupacis A; Zinman B; Cauch-Dudek K; Booth GL
Health Serv Res; 2007 Aug; 42(4):1783-96. PubMed ID: 17610448
[TBL] [Abstract][Full Text] [Related]
19. A population-based study of hospitalized injuries in Kingston, Ontario, identified via the Canadian Hospitals Injury Reporting and Prevention Program.
Pickett W; Hartling L; Brison RJ
Chronic Dis Can; 1997; 18(2):61-9. PubMed ID: 9268285
[TBL] [Abstract][Full Text] [Related]
20. Distribution and determinants of health and work status in a comprehensive population of injury patients.
Meerding WJ; Looman CW; Essink-Bot ML; Toet H; Mulder S; van Beeck EF
J Trauma; 2004 Jan; 56(1):150-61. PubMed ID: 14749582
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]