Should classification as an ACS-NSQIP high outlier be used to direct hospital quality improvement efforts?

Abstract:

BACKGROUND:ACS-NSQIP classifies hospitals as "high outliers" if their performance is significantly worse than expected. We determined how often hospitals return to as-expected performance after being newly identified as outliers. METHODS:Outlier status was identified in ACS-NSQIP semi-annual reports (SARs) 2008-2011 for 13 postoperative adverse events. Pearson correlation and R2 measured the relationship between frequency of changes in outlier status, frequency of outlier identification, and adverse event rate. RESULTS:Among 284 hospitals, 75% were classified as high outliers for an adverse event at least once. New high outliers frequently did not remain outliers in the next SAR. Of new outliers, mortality had the highest percentage return to as-expected performance (62.7%), while surgical site infection had the lowest (20.5%). The likelihood of an outlier hospital returning to as-expected performance was inversely related to the percentage of hospitals classified as outliers. The percentage of hospitals classified as outliers for an event explained 60% of variation in outlier hospitals returning to as-expected performance. CONCLUSIONS:Outlier status may be less meaningful for adverse events with relatively few outlier hospitals.

journal_name

Am J Surg

authors

Lawson EH,Roberts PL,Francone TD,Marcello PW,Read TE,Ricciardi R

doi

10.1016/j.amjsurg.2017.07.026

subject

Has Abstract

pub_date

2018-08-01 00:00:00

pages

213-216

issue

2

eissn

0002-9610

issn

1879-1883

pii

S0002-9610(17)30792-4

journal_volume

216

pub_type

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