Literature DB >> 9191704

International Classification of Diseases, 9th Revision, Clinical Modification codes in discharge abstracts are poor measures of complication occurrence in medical inpatients.

J M Geraci1, C M Ashton, D H Kuykendall, M L Johnson, L Wu.   

Abstract

OBJECTIVES: The authors tested the ability of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes in discharge abstracts to identify medical inpatients who experienced an in-hospital complication, using complications identified through chart review as the gold standard.
METHODS: Two sets of ICD-9-CM codes were used: an inclusive set including many medical diagnoses that may also be coexistent complicating conditions on admission rather than complications and an exclusive set consisting primarily of ICD-9-CM-specified complication and adverse drug event codes.
RESULTS: Neither set performed well as a diagnostic test for complication occurrence according to receiver operating characteristic analysis (ROC areas were 0.61 for the inclusive set and 0.55 for the exclusive set). Sensitivities of the ICD-9-CM codes for complications were 0.34 for the inclusive set and 0.14 for the exclusive set. Corresponding positive predictive values were 0.32 and 0.37, respectively. Sensitivities of code definitions for individual complications were generally poor, less than 0.5 in most cases.
CONCLUSIONS: The authors conclude that ICD-9-CM codes in discharge abstracts are poor measures of complication occurrence.

Mesh:

Year:  1997        PMID: 9191704     DOI: 10.1097/00005650-199706000-00005

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  21 in total

Review 1.  The evolving science of quality measurement for hospitals: implications for studies of competition and consolidation.

Authors:  Patrick S Romano; Ryan Mutter
Journal:  Int J Health Care Finance Econ       Date:  2004-06

Review 2.  Validation of CKD and related conditions in existing data sets: A systematic review.

Authors:  Morgan E Grams; Laura C Plantinga; Elizabeth Hedgeman; Rajiv Saran; Gary L Myers; Desmond E Williams; Neil R Powe
Journal:  Am J Kidney Dis       Date:  2010-08-06       Impact factor: 8.860

3.  Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database.

Authors:  Hude Quan; Bing Li; L Duncan Saunders; Gerry A Parsons; Carolyn I Nilsson; Arif Alibhai; William A Ghali
Journal:  Health Serv Res       Date:  2008-08       Impact factor: 3.402

4.  Optimizing algorithms to identify Parkinson's disease cases within an administrative database.

Authors:  Nicholas R Szumski; Eric M Cheng
Journal:  Mov Disord       Date:  2009-01-15       Impact factor: 10.338

5.  Measuring hospital quality: can medicare data substitute for all-payer data?

Authors:  Jack Needleman; Peter I Buerhaus; Soeren Mattke; Maureen Stewart; Katya Zelevinsky
Journal:  Health Serv Res       Date:  2003-12       Impact factor: 3.402

6.  Patient-level analysis of outcomes using structured labor and delivery data.

Authors:  Eric S Hall; Mollie R Poynton; Scott P Narus; Spencer S Jones; R Scott Evans; Michael W Varner; Sidney N Thornton
Journal:  J Biomed Inform       Date:  2009-02-06       Impact factor: 6.317

7.  Association of smoking with cardiovascular and infection-related morbidity and mortality in chronic hemodialysis.

Authors:  Finnian R Mc Causland; Steven M Brunelli; Sushrut S Waikar
Journal:  Clin J Am Soc Nephrol       Date:  2012-08-23       Impact factor: 8.237

Review 8.  How safe is the safety paradigm?

Authors:  O A Arah; N S Klazinga
Journal:  Qual Saf Health Care       Date:  2004-06

9.  Using MedPAR data as a measure of urinary tract infection rates: implications for the Medicare inpatient DRG payment system.

Authors:  Jerry Stringham; Nancy Young
Journal:  Perspect Health Inf Manag       Date:  2005-12-08

10.  Determining perioperative complications associated with vaginal hysterectomy: code classification versus chart review.

Authors:  Christine A Heisler; L Joseph Melton; Amy L Weaver; John B Gebhart
Journal:  J Am Coll Surg       Date:  2009-05-28       Impact factor: 6.113

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.