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Reliability of comorbidity scores derived from administrative data in the tertiary hospital intensive care setting: A cross-sectional study

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Version 3 2024-06-18, 14:28
Version 2 2024-06-03, 21:52
Version 1 2019-02-01, 00:00
journal contribution
posted on 2024-06-18, 14:28 authored by MHG Li, Ana HutchinsonAna Hutchinson, M Tacey, G Duke
BackgroundHospital reporting systems commonly use administrative data to calculate comorbidity scores in order to provide risk-adjustment to outcome indicators.ObjectiveWe aimed to elucidate the level of agreement between administrative coding data and medical chart review for extraction of comorbidities included in the Charlson Comorbidity Index (CCI) and Elixhauser Index (EI) for patients admitted to the intensive care unit of a university-affiliated hospital.MethodWe conducted an examination of a random cross-section of 100 patient episodes over 12 months (July 2012 to June 2013) for the 19 CCI and 30 EI comorbidities reported in administrative data and the manual medical record system. CCI and EI comorbidities were collected in order to ascertain the difference in mean indices, detect any systematic bias, and ascertain inter-rater agreement.ResultsWe found reasonable inter-rater agreement (kappa (κ) coefficient ≥0.4) for cardiorespiratory and oncological comorbidities, but little agreement (κ<0.4) for other comorbidities. Comorbidity indices derived from administrative data were significantly lower than from chart review: −0.81 (95% CI − 1.29 to − 0.33; p=0.001) for CCI, and −2.57 (95% CI −4.46 to −0.68; p=0.008) for EI.ConclusionWhile cardiorespiratory and oncological comorbidities were reliably coded in administrative data, most other comorbidities were under-reported and an unreliable source for estimation of CCI or EI in intensive care patients. Further examination of a large multicentre population is required to confirm our findings.

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Location

England

Open access

  • Yes

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Journal

BMJ Health and Care Informatics

Volume

26

Article number

ARTN e000016

Pagination

1 - 8

ISSN

2632-1009

eISSN

2632-1009

Issue

1

Publisher

BMJ PUBLISHING GROUP