Use of cumulative mortality data in patients with acute myocardial infarction for early detection of variation in clinical practice: observational study
Ra. Lawrance et al., Use of cumulative mortality data in patients with acute myocardial infarction for early detection of variation in clinical practice: observational study, BR MED J, 323(7308), 2001, pp. 324-327
Citations number
18
Categorie Soggetti
General & Internal Medicine","Medical Research General Topics
Objectives Use of cumulative mortality adjusted for case mix in patients wi
th acute myocardial infarction for early detection of variation in clinical
practice.
Design Observational study.
Setting 20 hospitals across the former Yorkshire region.
Participants All 2153 consecutive patients with confirmed acute myocardial
infarction identified during three months.
Main outcome measures Variable life-adjusted displays showing cumulative di
fferences between observed and expected mortality of patients; expected mor
tality calculated from risk model based on admission characteristics of age
. heart rate, and systolic blood pressure.
Results The performance of two individual hospitals over three months was e
xamined as an example. One, the smallest district hospital in the region, h
ad a series of 30 consecutive patients but had five more deaths than predic
ted. The variable life-adjusted display showed minimal variation from that
predicted for the first 15 patients followed by a run of unexpectedly high
mortality. The second example was the main tertiary referral centre for the
region, which admitted 188 consecutive patients. The display showed a peri
od of apparently poor performance followed by substantial improvement, wher
e the plot rose steadily from a cumulative net lives saved of - 4 to 7. The
se variations in patient outcome are unlikely to have been revealed during
conventional audit practice.
Conclusions Variable life-adjusted display has been integrated. into surgic
al care as a graphical display of risk-adjusted survival for individual sur
geons or centres. In combination with a simple risk model, it may have a ro
le in monitoring performance and outcome in patients with acute myocardial
infarction.