These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
461 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]
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]