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Results: 1 to 20 of 78

1.

The hazards of stroke case selection using administrative data.

Reker DM, Rosen AK, Hoenig H, Berlowitz DR, Laughlin J, Anderson L, Marshall CR, Rittman M.

Med Care. 2002 Feb;40(2):96-104.

PMID:
11802082
[PubMed - indexed for MEDLINE]
2.

Stroke: the Elixhauser Index for comorbidity adjustment of in-hospital case fatality.

Zhu H, Hill MD.

Neurology. 2008 Jul 22;71(4):283-7. doi: 10.1212/01.wnl.0000318278.41347.94.

PMID:
18645167
[PubMed - indexed for MEDLINE]
3.

Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases.

Li B, Evans D, Faris P, Dean S, Quan H.

BMC Health Serv Res. 2008 Jan 14;8:12. doi: 10.1186/1472-6963-8-12.

PMID:
18194561
[PubMed - indexed for MEDLINE]
Free PMC Article
4.

Stroke: who's counting what?

Reker DM, Hamilton BB, Duncan PW, Yeh SC, Rosen A.

J Rehabil Res Dev. 2001 Mar-Apr;38(2):281-9.

PMID:
11392661
[PubMed - indexed for MEDLINE]
5.

Mortality after cardiac bypass surgery: prediction from administrative versus clinical data.

Geraci JM, Johnson ML, Gordon HS, Petersen NJ, Shroyer AL, Grover FL, Wray NP.

Med Care. 2005 Feb;43(2):149-58.

PMID:
15655428
[PubMed - indexed for MEDLINE]
6.

Risk-adjusted mortality as an indicator of outcomes: comparison of the Medicare Advantage Program with the Veterans' Health Administration.

Selim AJ, Kazis LE, Rogers W, Qian S, Rothendler JA, Lee A, Ren XS, Haffer SC, Mardon R, Miller D, Spiro A 3rd, Selim BJ, Fincke BG.

Med Care. 2006 Apr;44(4):359-65.

PMID:
16565637
[PubMed - indexed for MEDLINE]
7.

Case-finding algorithm for post-stroke depression in the veterans health administration.

Damush TM, Jia H, Ried LD, Qin H, Cameon R, Plue L, Williams LS.

Int J Geriatr Psychiatry. 2008 May;23(5):517-22.

PMID:
18000947
[PubMed - indexed for MEDLINE]
8.

Impact of the present-on-admission indicator on hospital quality measurement: experience with the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators.

Glance LG, Osler TM, Mukamel DB, Dick AW.

Med Care. 2008 Feb;46(2):112-9. doi: 10.1097/MLR.0b013e318158aed6.

PMID:
18219238
[PubMed - indexed for MEDLINE]
9.

Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA.

Med Care. 2005 Nov;43(11):1130-9.

PMID:
16224307
[PubMed - indexed for MEDLINE]
10.

Stroke mortality and race: does access to care influence outcomes?

Kamalesh M, Shen J, Tierney WM.

Am J Med Sci. 2007 Jun;333(6):327-32.

PMID:
17570984
[PubMed - indexed for MEDLINE]
11.

Does diagnostic information contribute to predicting functional decline in long-term care?

Rosen A, Wu J, Chang BH, Berlowitz D, Ash A, Moskowitz M.

Med Care. 2000 Jun;38(6):647-59.

PMID:
10843312
[PubMed - indexed for MEDLINE]
12.

The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 1--coronary artery bypass grafting surgery.

Shahian DM, O'Brien SM, Filardo G, Ferraris VA, Haan CK, Rich JB, Normand SL, DeLong ER, Shewan CM, Dokholyan RS, Peterson ED, Edwards FH, Anderson RP; Society of Thoracic Surgeons Quality Measurement Task Force.

Ann Thorac Surg. 2009 Jul;88(1 Suppl):S2-22. doi: 10.1016/j.athoracsur.2009.05.053.

PMID:
19559822
[PubMed - indexed for MEDLINE]
13.

Validating administrative data in stroke research.

Tirschwell DL, Longstreth WT Jr.

Stroke. 2002 Oct;33(10):2465-70.

PMID:
12364739
[PubMed - indexed for MEDLINE]
Free Article
14.
15.

Depression and other mental health diagnoses increase mortality risk after ischemic stroke.

Williams LS, Ghose SS, Swindle RW.

Am J Psychiatry. 2004 Jun;161(6):1090-5.

PMID:
15169698
[PubMed - indexed for MEDLINE]
16.

Identifying veterans with acute strokes with high-specificity ICD-9 algorithm with VA automated records and Medicare claims data: a more complete picture.

Ried LD, Cameon R, Jia H, Findley K, Hinojosa MS, Wang X, Tueth MJ.

J Rehabil Res Dev. 2007;44(5):665-73.

PMID:
17943678
[PubMed - indexed for MEDLINE]
Free Article
17.

Is risk-adjustor selection more important than statistical approach for provider profiling? Asthma as an example.

Huang IC, Dominici F, Frangakis C, Diette GB, Damberg CL, Wu AW.

Med Decis Making. 2005 Jan-Feb;25(1):20-34.

PMID:
15673579
[PubMed - indexed for MEDLINE]
18.

Veterans Affairs intensive care unit risk adjustment model: validation, updating, recalibration.

Render ML, Deddens J, Freyberg R, Almenoff P, Connors AF Jr, Wagner D, Hofer TP.

Crit Care Med. 2008 Apr;36(4):1031-42. doi: 10.1097/CCM.0b013e318169f290.

PMID:
18379226
[PubMed - indexed for MEDLINE]
19.

Profiling resource use: do different outcomes affect assessments of provider efficiency?

Rosen AK, Rakovski CC, Loveland SA, Anderson JJ, Berlowitz DR.

Am J Manag Care. 2002 Dec;8(12):1105-15.

PMID:
12500886
[PubMed - indexed for MEDLINE]
Free Article
20.

Risk-adjusted mortality rates as a potential outcome indicator for outpatient quality assessments.

Selim AJ, Berlowitz DR, Fincke G, Rosen AK, Ren XS, Christiansen CL, Cong Z, Lee A, Kazis L.

Med Care. 2002 Mar;40(3):237-45.

PMID:
11880796
[PubMed - indexed for MEDLINE]

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