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Items: 1 to 20 of 96

1.

Use of structured and unstructured data to identify contraceptive use in women veterans.

Womack JA, Scotch M, Leung SN, Skanderson M, Bathulapalli H, Haskell SG, Brandt CA.

Perspect Health Inf Manag. 2013 Jul 1;10:1e. Print 2013.

2.

PTSD diagnoses among Iraq and Afghanistan veterans: comparison of administrative data to chart review.

McCarron KK, Reinhard MJ, Bloeser KJ, Mahan CM, Kang HK.

J Trauma Stress. 2014 Oct;27(5):626-9. doi: 10.1002/jts.21961.

PMID:
25322891
3.

Sensitivity and specificity of traumatic brain injury diagnosis codes in United States Department of Veterans Affairs administrative data.

Carlson KF, Barnes JE, Hagel EM, Taylor BC, Cifu DX, Sayer NA.

Brain Inj. 2013 Jun;27(6):640-50. doi: 10.3109/02699052.2013.771795. Epub 2013 Mar 20.

PMID:
23514276
4.

Accuracy of external cause-of-injury coding in VA polytrauma patient discharge records.

Carlson KF, Nugent SM, Grill J, Sayer NA.

J Rehabil Res Dev. 2010;47(8):689-97.

5.

Use of administrative data to identify colorectal liver metastasis.

Anaya DA, Becker NS, Richardson P, Abraham NS.

J Surg Res. 2012 Jul;176(1):141-6. doi: 10.1016/j.jss.2011.07.022. Epub 2011 Aug 10.

PMID:
21962740
6.

The validity of viral hepatitis and chronic liver disease diagnoses in Veterans Affairs administrative databases.

Kramer JR, Davila JA, Miller ED, Richardson P, Giordano TP, El-Serag HB.

Aliment Pharmacol Ther. 2008 Feb 1;27(3):274-82. Epub 2007 Nov 8.

7.

Identifying Homelessness among Veterans Using VA Administrative Data: Opportunities to Expand Detection Criteria.

Peterson R, Gundlapalli AV, Metraux S, Carter ME, Palmer M, Redd A, Samore MH, Fargo JD.

PLoS One. 2015 Jul 14;10(7):e0132664. doi: 10.1371/journal.pone.0132664. eCollection 2015.

8.

Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing.

Sada Y, Hou J, Richardson P, El-Serag H, Davila J.

Med Care. 2016 Feb;54(2):e9-14. doi: 10.1097/MLR.0b013e3182a30373.

9.

Accuracy of VA databases for diagnoses of knee replacement and hip replacement.

Singh JA, Ayub S.

Osteoarthritis Cartilage. 2010 Dec;18(12):1639-42. doi: 10.1016/j.joca.2010.10.003. Epub 2010 Oct 13.

10.

Contraceptive provision in the VA healthcare system to women who report military sexual trauma.

Goyal V, Mattocks K, Bimla Schwarz E, Borrero S, Skanderson M, Zephyrin L, Brandt C, Haskell S.

J Womens Health (Larchmt). 2014 Sep;23(9):740-5. doi: 10.1089/jwh.2013.4466. Epub 2014 May 2.

11.

Failure of ICD-9-CM codes to identify patients with comorbid chronic kidney disease in diabetes.

Kern EF, Maney M, Miller DR, Tseng CL, Tiwari A, Rajan M, Aron D, Pogach L.

Health Serv Res. 2006 Apr;41(2):564-80.

12.

Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic.

Szeto HC, Coleman RK, Gholami P, Hoffman BB, Goldstein MK.

Am J Manag Care. 2002 Jan;8(1):37-43.

13.

Diabetes prevalence and hospital and pharmacy use in the Veterans Health Administration (1994). Use of an ambulatory care pharmacy-derived database.

Pogach LM, Hawley G, Weinstock R, Sawin C, Schiebe H, Cutler F, Zieve F, Bates M, Repke D.

Diabetes Care. 1998 Mar;21(3):368-73.

PMID:
9540017
14.

A systematic review of validated methods for identifying patients with rheumatoid arthritis using administrative or claims data.

Chung CP, Rohan P, Krishnaswami S, McPheeters ML.

Vaccine. 2013 Dec 30;31 Suppl 10:K41-61. doi: 10.1016/j.vaccine.2013.03.075. Review.

PMID:
24331074
15.
16.

Determining Multiple Sclerosis Phenotype from Electronic Medical Records.

Nelson RE, Butler J, LaFleur J, Knippenberg K, C Kamauu AW, DuVall SL.

J Manag Care Spec Pharm. 2016 Dec;22(12):1377-1382.

17.

Use of administrative claims data for identifying patients with cirrhosis.

Nehra MS, Ma Y, Clark C, Amarasingham R, Rockey DC, Singal AG.

J Clin Gastroenterol. 2013 May-Jun;47(5):e50-4. doi: 10.1097/MCG.0b013e3182688d2f.

18.

The validity of using ICD-9 codes and pharmacy records to identify patients with chronic obstructive pulmonary disease.

Cooke CR, Joo MJ, Anderson SM, Lee TA, Udris EM, Johnson E, Au DH.

BMC Health Serv Res. 2011 Feb 16;11:37. doi: 10.1186/1472-6963-11-37.

19.

Validity of code based algorithms to identify primary open angle glaucoma (POAG) in Veterans Affairs (VA) administrative databases.

Biggerstaff KS, Frankfort BJ, Orengo-Nania S, Garcia J, Chiao E, Kramer JR, White D.

Ophthalmic Epidemiol. 2017 Sep 25:1-7. doi: 10.1080/09286586.2017.1378688. [Epub ahead of print]

PMID:
28945495
20.

Results from the Veterans Health Administration ICD-10-CM/PCS Coding Pilot Study.

Weems S, Heller P, Fenton SH.

Perspect Health Inf Manag. 2015 Jul 1;12:1b. eCollection 2015.

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