
Patients
classification System 
tools for 
tools for 
tools for 
4 ANECDOTE 4 contact 
4 Logic 
4 deaths 

LENGTH OF STAY – INTERPRETATION OF RESULTS If the observed length of stay is
higher than expected, it means that it might be reduced. But the analyst
should remind that the expected length of stay correspond to the set of
hospitals with high performances (see expected values below). Similarly to the costs, the
interpretation depend on the context. If the length ratio is higher among
stays followed by a potentially avoidable readmission, this gives some
evidence that the physicians have guessed that those patients were at more at
risk of readmission. On the contrary – if the length ratio is lower – it is
of concern, because it could be associated with premature discharges. A high
length ratio for patients placed in nursing homes indicate that it is
probably difficult to find a free nursing bed in the region, questioning the
organization of the health system in the region. The separated analysis of
unjustified stays and candidates for one day surgery is necessary to compare
hospitals. Otherwise, shorter stays might possibly be explained by a higher
proportion of inappropriate inpatients’ admissions. Observed length of stay (LS_{1}) Expected length of stay 
average (LS_{0})  maximal (LS_{0max}) Expected lengths of stay are based on average lengths per diagnosis and procedure category among Swiss
hospitals with high performances in 2010 (benchmark): Expected values are adjusted for uncompleted
stays (transfer, death), complexity (number of SQLape® diagnoses and
procedures categories) to avoid perverse financial effects. Length ratio (R_{LS}): observed rate (LS_{1}) / expected rate (LS_{0}).
Statistical significance A significantly lower than expected rate (CO_{1}
< CO_{0min}) 

© SQLape s.à.r.l. 2014. Last update: 20.05.2014 