Intelligent information: a national system for monitoring clinical performance.

Abstract:

OBJECTIVE:To use statistical process control charts to monitor in-hospital outcomes at the hospital level for a wide range of procedures and diagnoses. DATA SOURCES:Routine English hospital admissions data. STUDY DESIGN:Retrospective analysis using risk-adjusted log-likelihood cumulative sum (CUSUM) charts, comparing each hospital with the national average and its peers for in-hospital mortality, length of stay, and emergency readmission within 28 days. DATA COLLECTION:Data were derived from the Department of Health administrative hospital admissions database, with monthly uploads from the clearing service. PRINCIPAL FINDINGS:The tool is currently being used by nearly 100 hospitals and also a number of primary care trusts responsible for purchasing hospital care. It monitors around 80 percent of admissions and in-hospital deaths. Case-mix adjustment gives values for the area under the receiver operating characteristic curve between 0.60 and 0.86 for mortality, but the values were poorer for readmission. CONCLUSIONS:CUSUMs are a promising management tool for managers and clinicians for driving improvement in hospital performance for a range of outcomes, and interactive presentation via a web-based front end has been well received by users. Our methods act as a focus for intelligently directed clinical audit with the real potential to improve outcomes, but wider availability and prospective monitoring are required to fully assess the method's utility.

journal_name

Health Serv Res

journal_title

Health services research

authors

Bottle A,Aylin P

doi

10.1111/j.1475-6773.2007.00742.x

subject

Has Abstract

pub_date

2008-02-01 00:00:00

pages

10-31

issue

1 Pt 1

eissn

0017-9124

issn

1475-6773

journal_volume

43

pub_type

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