Literature DB >> 16899016

Date stamping: will it withstand the test of time?

Andrew B Bindman1, Adam Bennett.   

Abstract

Mesh:

Year:  2006        PMID: 16899016      PMCID: PMC1797083          DOI: 10.1111/j.1475-6773.2006.00555.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


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  9 in total

1.  Using administrative data to improve compliance with mandatory state event reporting.

Authors:  Deborah Tuttle; Robert J Panzer; Tracy Baird
Journal:  Jt Comm J Qual Improv       Date:  2002-06

2.  Accuracy of hospital report cards based on administrative data.

Authors:  Laurent G Glance; Andrew W Dick; Turner M Osler; Dana B Mukamel
Journal:  Health Serv Res       Date:  2006-08       Impact factor: 3.402

3.  National health spending in 2004: recent slowdown led by prescription drug spending.

Authors:  Cynthia Smith; Cathy Cowan; Stephen Heffler; Aaron Catlin
Journal:  Health Aff (Millwood)       Date:  2006 Jan-Feb       Impact factor: 6.301

4.  Does date stamping ICD-9-CM codes increase the value of clinical information in administrative data?

Authors:  Laurent G Glance; Andrew W Dick; Turner M Osler; Dana B Mukamel
Journal:  Health Serv Res       Date:  2006-02       Impact factor: 3.402

5.  The accuracy of Medicare's hospital claims data: progress has been made, but problems remain.

Authors:  E S Fisher; F S Whaley; W M Krushat; D J Malenka; C Fleming; J A Baron; D C Hsia
Journal:  Am J Public Health       Date:  1992-02       Impact factor: 9.308

6.  Comorbidity measures for use with administrative data.

Authors:  A Elixhauser; C Steiner; D R Harris; R M Coffey
Journal:  Med Care       Date:  1998-01       Impact factor: 2.983

7.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

8.  Comparing AMI mortality among hospitals in patients 65 years of age and older: evaluating methods of risk adjustment.

Authors:  H M Krumholz; J Chen; Y Wang; M J Radford; Y T Chen; T A Marciniak
Journal:  Circulation       Date:  1999-06-15       Impact factor: 29.690

9.  Laboratory values improve predictions of hospital mortality.

Authors:  M Pine; B Jones; Y B Lou
Journal:  Int J Qual Health Care       Date:  1998-12       Impact factor: 2.038

  9 in total
  1 in total

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

Authors:  L Elizabeth Goldman; Philip W Chu; Dennis Osmond; Andrew Bindman
Journal:  Health Serv Res       Date:  2011-08-11       Impact factor: 3.402

  1 in total

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