Reducing the Reported Mortality Index Within a Neurocritical Care Unit Through Documentation and Coding Accuracy.

Abstract:

BACKGROUND:The mortality index, or the ratio of observed to expected mortality, is a reported quality metric that has been assumed to directly reflect patient care. However, documentation and coding that does not use knowledge of how a reported mortality index is derived could reflect poorly on a hospital or service line. We present our effort at reducing the reported mortality index of neurosurgery and neurology patients within a neurocritical care unit through documentation and coding accuracy with direct incorporation of mortality modeling. METHODS:Using a reported method from Vizient Inc., we generated a spreadsheet tool to enable direct manipulation of the data to identify documentation and coding issues that influenced the reported mortality index in a retrospective set of patients. Subsequently, we implemented the prospective changes to documentation and coding and compared our calculated mortality index to the reported Vizient mortality index. RESULTS:Prospective implementation of the documentation and coding issues identified through our spreadsheet tool resulted in a drastic reduction of both our calculated and the reported Vizient mortality index. CONCLUSIONS:Incorporating knowledge of mortality index modeling into the documentation and coding resulted in impressive reductions in the reported mortality index for our patients, serving as a both an internal benchmark and a method of comparison with other institutions.

journal_name

World Neurosurg

journal_title

World neurosurgery

authors

Kessler BA,Catalino MP,Jordan JD

doi

10.1016/j.wneu.2019.10.022

subject

Has Abstract

pub_date

2020-01-01 00:00:00

pages

e819-e827

eissn

1878-8750

issn

1878-8769

pii

S1878-8750(19)32637-3

journal_volume

133

pub_type

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