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Items: 1 to 20 of 272

1.

Inaccuracy of the administrative database: comparative analysis of two databases for the diagnosis and treatment of intracranial aneurysms.

Woodworth GF, Baird CJ, Garces-Ambrossi G, Tonascia J, Tamargo RJ.

Neurosurgery. 2009 Aug;65(2):251-6; discussion 256-7. doi: 10.1227/01.NEU.0000347003.35690.7A.

PMID:
19625902
2.
3.

Administrative data accurately identified intensive care unit admissions in Ontario.

Scales DC, Guan J, Martin CM, Redelmeier DA.

J Clin Epidemiol. 2006 Aug;59(8):802-7. Epub 2006 Mar 24.

PMID:
16828673
4.

Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research.

Lee DS, Donovan L, Austin PC, Gong Y, Liu PP, Rouleau JL, Tu JV.

Med Care. 2005 Feb;43(2):182-8.

PMID:
15655432
5.

Coding accuracy of hospital discharge data for elderly survivors of myocardial infarction.

Levy AR, Tamblyn RM, Fitchett D, McLeod PJ, Hanley JA.

Can J Cardiol. 1999 Nov;15(11):1277-82.

PMID:
10579743
6.

Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review?

Humphries KH, Rankin JM, Carere RG, Buller CE, Kiely FM, Spinelli JJ.

J Clin Epidemiol. 2000 Apr;53(4):343-9.

PMID:
10785564
7.

Can cardiovascular clinical characteristics be identified and outcome models be developed from an in-patient claims database?

Weintraub WS, Deaton C, Shaw L, Mahoney E, Morris DC, Saunders C, Canup D, Connolly S, Culler S, Becker ER, Kosinski A, Boccuzzi SJ.

Am J Cardiol. 1999 Jul 15;84(2):166-9.

PMID:
10426334
8.

The accuracy of administrative data diagnoses of systemic autoimmune rheumatic diseases.

Bernatsky S, Linehan T, Hanly JG.

J Rheumatol. 2011 Aug;38(8):1612-6. doi: 10.3899/jrheum.101149. Epub 2011 May 1.

PMID:
21532057
9.

Discordance between self-report of physician diagnosis and administrative database diagnosis of arthritis and its predictors.

Singh JA.

J Rheumatol. 2009 Sep;36(9):2000-8. doi: 10.3899/jrheum.090041. Epub 2009 Aug 14.

PMID:
19684149
10.

Health data quality improvement by comparing administrative medical data and billing data.

Ceratti A, Roger France FH, Beguin C.

Int J Med Inform. 2008 Aug;77(8):527-33. Epub 2007 Nov 26.

PMID:
18035589
11.

[Comparison between administrative and clinical databases in the evaluation of cardiac surgery performance].

Rosato S, D'Errigo P, Badoni G, Fusco D, Perucci CA, Seccareccia F.

G Ital Cardiol (Rome). 2008 Aug;9(8):569-78. Italian.

PMID:
18780554
12.

Assessing accuracy of diagnosis-type indicators for flagging complications in administrative data.

Quan H, Parsons GA, Ghali WA.

J Clin Epidemiol. 2004 Apr;57(4):366-72.

PMID:
15135837
13.
14.

Unexplained antepartum fetal death in Norway, 1985-97: diagnostic validation and some epidemiologic aspects.

Rasmussen S, Albrechtsen S, Irgens LM, Dalaker K, Maartmann-Moe H, Vlatkovic L, Markestad T.

Acta Obstet Gynecol Scand. 2003 Feb;82(2):109-15.

PMID:
12648170
15.

Assessing the Saskatchewan database for outcomes research studies of depression and its treatment.

West SL, Richter A, Melfi CA, McNutt M, Nennstiel ME, Mauskopf JA.

J Clin Epidemiol. 2000 Aug;53(8):823-31.

PMID:
10942865
16.

Hospital chart review provided more accurate comorbidity information than data from a general practitioner survey or an administrative database.

Preen DB, Holman CD, Lawrence DM, Baynham NJ, Semmens JB.

J Clin Epidemiol. 2004 Dec;57(12):1295-304.

PMID:
15617956
18.

Validation of a centrally maintained computerized hospital database: comparison with operating room logbooks.

Pilpel D, Fraser GM, Kosecoff J, Brook RH.

Isr J Med Sci. 1993 May;29(5):287-91.

PMID:
8314689
19.

Commentary on "a roadmap for the prevention of dementia II: Leon Thal Symposium 2008." Establishing a national biomarker database: utility and incentives.

Cummings JL.

Alzheimers Dement. 2009 Mar;5(2):108-13. doi: 10.1016/j.jalz.2009.01.015. No abstract available.

PMID:
19328437
20.

The use of automated data to identify complications and comorbidities of diabetes: a validation study.

Newton KM, Wagner EH, Ramsey SD, McCulloch D, Evans R, Sandhu N, Davis C.

J Clin Epidemiol. 1999 Mar;52(3):199-207.

PMID:
10210237

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