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Items: 1 to 20 of 110

1.

The accuracy of present-on-admission reporting in administrative data.

Goldman LE, Chu PW, Osmond D, Bindman A.

Health Serv Res. 2011 Dec;46(6pt1):1946-62. doi: 10.1111/j.1475-6773.2011.01300.x. Epub 2011 Aug 11.

2.

Effect of Present-on-Admission (POA) Reporting Accuracy on Hospital Performance Assessments Using Risk-Adjusted Mortality.

Goldman LE, Chu PW, Bacchetti P, Kruger J, Bindman A.

Health Serv Res. 2015 Jun;50(3):922-38. doi: 10.1111/1475-6773.12239. Epub 2014 Oct 6.

3.
4.

Accuracy of do not resuscitate (DNR) in administrative data.

Goldman LE, Chu PW, Osmond D, Bindman A.

Med Care Res Rev. 2013 Feb;70(1):98-112. doi: 10.1177/1077558712458455. Epub 2012 Sep 6.

PMID:
22955698
5.
6.

Modifying ICD-9-CM coding of secondary diagnoses to improve risk-adjustment of inpatient mortality rates.

Pine M, Jordan HS, Elixhauser A, Fry DE, Hoaglin DC, Jones B, Meimban R, Warner D, Gonzales J.

Med Decis Making. 2009 Jan-Feb;29(1):69-81. doi: 10.1177/0272989X08323297. Epub 2008 Sep 23.

PMID:
18812585
7.

The CABG surgery volume-outcome relationship: temporal trends and selection effects in California, 1998-2004.

Marcin JP, Li Z, Kravitz RL, Dai JJ, Rocke DM, Romano PS.

Health Serv Res. 2008 Feb;43(1 Pt 1):174-92. doi: 10.1111/j.1475-6773.2007.00740.x.

8.

How often are potential patient safety events present on admission?

Houchens RL, Elixhauser A, Romano PS.

Jt Comm J Qual Patient Saf. 2008 Mar;34(3):154-63.

PMID:
18419045
9.

Impact of present-on-admission indicators on risk-adjusted hospital mortality measurement.

Dalton JE, Glance LG, Mascha EJ, Ehrlinger J, Chamoun N, Sessler DI.

Anesthesiology. 2013 Jun;118(6):1298-306. doi: 10.1097/ALN.0b013e31828e12b3.

PMID:
23503367
10.

Modifying DRG-PPS to include only diagnoses present on admission: financial implications and challenges.

Zhan C, Elixhauser A, Friedman B, Houchens R, Chiang YP.

Med Care. 2007 Apr;45(4):288-91.

PMID:
17496711
11.

Accuracy of hospital report cards based on administrative data.

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

Health Serv Res. 2006 Aug;41(4 Pt 1):1413-37.

12.

Hospital discharge abstract data on comorbidity improved the prediction of death among patients hospitalized with aspiration pneumonia.

Stukenborg GJ, Wagner DP, Harrell FE Jr, Oliver MN, Kilbridge KL, Lyman J, Einbinder J, Connors AF Jr.

J Clin Epidemiol. 2004 May;57(5):522-32.

PMID:
15196623
13.
14.

Identifying in-hospital venous thromboembolism (VTE): a comparison of claims-based approaches with the Rochester Epidemiology Project VTE cohort.

Leibson CL, Needleman J, Buerhaus P, Heit JA, Melton LJ 3rd, Naessens JM, Bailey KR, Petterson TM, Ransom JE, Harris MR.

Med Care. 2008 Feb;46(2):127-32. doi: 10.1097/MLR.0b013e3181589b92.

PMID:
18219240
15.

Laboratory values improve predictions of hospital mortality.

Pine M, Jones B, Lou YB.

Int J Qual Health Care. 1998 Dec;10(6):491-501.

PMID:
9928588
16.

Using present-on-admission coding to improve exclusion rules for quality metrics: the case of failure-to-rescue.

Needleman J, Buerhaus PI, Vanderboom C, Harris M.

Med Care. 2013 Aug;51(8):722-30. doi: 10.1097/MLR.0b013e31829808de.

PMID:
23703647
17.

Enhancement of claims data to improve risk adjustment of hospital mortality.

Pine M, Jordan HS, Elixhauser A, Fry DE, Hoaglin DC, Jones B, Meimban R, Warner D, Gonzales J.

JAMA. 2007 Jan 3;297(1):71-6.

PMID:
17200477
18.

Chronic conditions and risk of in-hospital death.

Iezzoni LI, Heeren T, Foley SM, Daley J, Hughes J, Coffman GA.

Health Serv Res. 1994 Oct;29(4):435-60.

19.

Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality?

Iezzoni LI, Foley SM, Daley J, Hughes J, Fisher ES, Heeren T.

JAMA. 1992 Apr 22-29;267(16):2197-203.

PMID:
1556797
20.

Identifying potentially preventable complications using a present on admission indicator.

Hughes JS, Averill RF, Goldfield NI, Gay JC, Muldoon J, McCullough E, Xiang J.

Health Care Financ Rev. 2006 Spring;27(3):63-82.

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