Literature DB >> 2203703

Using administrative diagnostic data to assess the quality of hospital care. Pitfalls and potential of ICD-9-CM.

L I Iezzoni1.   

Abstract

Diagnostic information within administrative data bases is generally in the form of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. The purpose of this article is to introduce ICD-9-CM, to review its strengths and limitations, and to suggest ways that it can be used through administrative files for assessing the quality of hospital care.

Mesh:

Year:  1990        PMID: 2203703     DOI: 10.1017/s0266462300000799

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  40 in total

1.  Rates of adverse events among hospital admissions and day surgeries in Ontario from 1992 to 1997.

Authors:  D Hunter; N Bains
Journal:  CMAJ       Date:  1999-06-01       Impact factor: 8.262

2.  Mortality league tables: do they inform or mislead?

Authors:  M McKee; D Hunter
Journal:  Qual Health Care       Date:  1995-03

3.  Informing the market: the strengths and weaknesses of information in the British National Health Service.

Authors:  M McKee; L Chenet
Journal:  Health Care Anal       Date:  1997-06

4.  Routine data: a resource for clinical audit?

Authors:  M McKee
Journal:  Qual Health Care       Date:  1993-06

5.  Pursuing integration of performance measures into electronic medical records: beta-adrenergic receptor antagonist medications.

Authors:  M Weiner; T E Stump; C M Callahan; J N Lewis; C J McDonald
Journal:  Qual Saf Health Care       Date:  2005-04

6.  Pediatric traumatic brain injury is inconsistently regionalized in the United States.

Authors:  Mary Hartman; Robert Scott Watson; Walter Linde-Zwirble; Gilles Clermont; Judith Lave; Lisa Weissfeld; Patrick Kochanek; Derek Angus
Journal:  Pediatrics       Date:  2008-07       Impact factor: 7.124

7.  Challenges of monitoring use of secondary care at local level: a study based in London, UK.

Authors:  L Chenet; M McKee
Journal:  J Epidemiol Community Health       Date:  1996-06       Impact factor: 3.710

Review 8.  Using existing data to address important clinical questions in critical care.

Authors:  Colin R Cooke; Theodore J Iwashyna
Journal:  Crit Care Med       Date:  2013-03       Impact factor: 7.598

9.  Meeting the ambition of measuring the quality of hospitals' stroke care using routinely collected administrative data: a feasibility study.

Authors:  William L Palmer; Alex Bottle; Charlie Davie; Charles A Vincent; Paul Aylin
Journal:  Int J Qual Health Care       Date:  2013-04-12       Impact factor: 2.038

10.  Linking Medicare, Medicaid, and cancer registry data to study the burden of cancers in West Virginia.

Authors:  Pramit A Nadpara; Suresh S Madhavan
Journal:  Medicare Medicaid Res Rev       Date:  2012-11-05
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