H | Hospital identifier |
L | Location of the hospital |
y | Year (most recent year in the SQLape_input.txt file, with at least 10% of records) |
n | Number of hospital stays |
qPD | Data quality (warning if all requirements are not met) |
cPD | Number of deaths (DischargeDecision=5) |
ePD | Number of eligible stays |
PD1 | Observed premature death rate |
PD0 | Expected rate (see prediction models for more details) |
PD0min | Minimal expected rate (see prediction models for more details) |
PD0max | Maximal expected rate (see prediction models for more details) |
RPD | Rate ratio (PD 1 /PD 0 ) |
PD0CH | Swiss rate in all Swiss hospitals from 2014-2016 satisfying data quality requirement |
PD1a | Adjusted rate (rate ratio * benchmark average) |
vPD | Results |
| A : low rate (LS1 < LS0min ) |
| B : in the standard (LS0min < LS1 < LS0max ) |
| C : high rate (LS1 > LS0max ) |
These results are given globally in “Death” Excel tab. They are given in separate Excel files for each site of the hospital, split according to the age class of patients (0-45, 46-65, 66-75, 76-85, 85+). |