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Items: 1 to 20 of 93

1.

Determination of colonoscopy indication from administrative claims data.

Ko CW, Dominitz JA, Neradilek M, Polissar N, Green P, Kreuter W, Baldwin LM.

Med Care. 2014 Apr;52(4):e21-9. doi: 10.1097/MLR.0b013e31824ebdf5.

2.

Accuracy of Medicare claims for identifying findings and procedures performed during colonoscopy.

Ko CW, Dominitz JA, Green P, Kreuter W, Baldwin LM.

Gastrointest Endosc. 2011 Mar;73(3):447-453.e1. doi: 10.1016/j.gie.2010.07.044. Epub 2010 Oct 15.

3.

Ascertainment of colonoscopy indication using administrative data.

Fisher DA, Grubber JM, Castor JM, Coffman CJ.

Dig Dis Sci. 2010 Jun;55(6):1721-5. doi: 10.1007/s10620-010-1200-y.

PMID:
20393875
4.

Colorectal Cancer Identification Methods Among Kansas Medicare Beneficiaries, 2008-2010.

Lai SM, Jungk J, Garimella S.

Prev Chronic Dis. 2015 Jul 9;12:E107. doi: 10.5888/pcd12.140543.

5.

The polyp detection rate of colonoscopy: a national study of Medicare beneficiaries.

Cooper GS, Chak A, Koroukian S.

Am J Med. 2005 Dec;118(12):1413.

PMID:
16378787
6.

Data sources for measuring colorectal endoscopy use among Medicare enrollees.

Schenck AP, Klabunde CN, Warren JL, Peacock S, Davis WW, Hawley ST, Pignone M, Ransohoff DF.

Cancer Epidemiol Biomarkers Prev. 2007 Oct;16(10):2118-27.

7.

Approaches for classifying the indications for colonoscopy using detailed clinical data.

Fassil H, Adams KF, Weinmann S, Doria-Rose VP, Johnson E, Williams AE, Corley DA, Doubeni CA.

BMC Cancer. 2014 Feb 15;14:95. doi: 10.1186/1471-2407-14-95.

8.

Development and validation of an algorithm for classifying colonoscopy indication.

Lee JK, Jensen CD, Lee A, Doubeni CA, Zauber AG, Levin TR, Zhao WK, Corley DA.

Gastrointest Endosc. 2015 Mar;81(3):575-582.e4. doi: 10.1016/j.gie.2014.07.031. Epub 2015 Jan 8.

9.

Costs and repeat rates associated with colonoscopy observed in medical claims for commercial and Medicare populations.

Pyenson B, Scammell C, Broulette J.

BMC Health Serv Res. 2014 Feb 26;14:92. doi: 10.1186/1472-6963-14-92.

10.

Distinguishing screening from diagnostic mammograms using Medicare claims data.

Fenton JJ, Zhu W, Balch S, Smith-Bindman R, Fishman P, Hubbard RA.

Med Care. 2014 Jul;52(7):e44-51. doi: 10.1097/MLR.0b013e318269e0f5.

11.

Validity of claims-based stroke algorithms in contemporary Medicare data: reasons for geographic and racial differences in stroke (REGARDS) study linked with medicare claims.

Kumamaru H, Judd SE, Curtis JR, Ramachandran R, Hardy NC, Rhodes JD, Safford MM, Kissela BM, Howard G, Jalbert JJ, Brott TG, Setoguchi S.

Circ Cardiovasc Qual Outcomes. 2014 Jul;7(4):611-9. doi: 10.1161/CIRCOUTCOMES.113.000743. Epub 2014 Jun 24.

12.
13.

Do indication and demographics for colonoscopy affect completion? A large national database evaluation.

Gupta M, Holub JL, Eisen G.

Eur J Gastroenterol Hepatol. 2010 May;22(5):620-7. doi: 10.1097/MEG.0b013e3283352cd6.

14.

An Evaluation of Algorithms for Identifying Metastatic Breast, Lung, or Colorectal Cancer in Administrative Claims Data.

Whyte JL, Engel-Nitz NM, Teitelbaum A, Gomez Rey G, Kallich JD.

Med Care. 2015 Jul;53(7):e49-57. doi: 10.1097/MLR.0b013e318289c3fb.

PMID:
23524464
15.

Utilization of colonoscopy in the United States: results from a national consortium.

Lieberman DA, Holub J, Eisen G, Kraemer D, Morris CD.

Gastrointest Endosc. 2005 Dec;62(6):875-83.

PMID:
16301030
16.

Identifying and classifying people with disabilities using claims data: further development of the Access Risk Classification System (ARCS) algorithm.

Palsbo SE, Sutton CD, Mastal MF, Johnson S, Cohen A.

Disabil Health J. 2008 Oct;1(4):215-23. doi: 10.1016/j.dhjo.2008.07.001.

PMID:
21122732
17.

An evaluation of colonoscopy surveillance guidelines: are we actually adhering to the guidelines?

Walker AS, Nelson DW, Fowler JJ, Causey MW, Quade S, Johnson EK, Maykel JA, Steele SR.

Am J Surg. 2013 May;205(5):618-22; discussion 622. doi: 10.1016/j.amjsurg.2012.12.006.

PMID:
23592173
18.

Regional variation in anesthesia assistance during outpatient colonoscopy is not associated with differences in polyp detection or complication rates.

Dominitz JA, Baldwin LM, Green P, Kreuter WI, Ko CW.

Gastroenterology. 2013 Feb;144(2):298-306. doi: 10.1053/j.gastro.2012.10.038. Epub 2012 Oct 25.

19.

An algorithm for the use of Medicare claims data to identify women with incident breast cancer.

Nattinger AB, Laud PW, Bajorunaite R, Sparapani RA, Freeman JL.

Health Serv Res. 2004 Dec;39(6 Pt 1):1733-49.

20.

Ability of Medicare claims data to identify nursing home patients: a validation study.

Koroukian SM, Xu F, Murray P.

Med Care. 2008 Nov;46(11):1184-7. doi: 10.1097/MLR.0b013e31817925d2.

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