| 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 |
| qLS | Data quality (warning if all requirements are not met) |
| sLS | Number of days (DischargeDate-AdmissionDate+1-Vacation hours/24) |
| eLS | Number of eligible stays |
| LS1 | Observed length of stay (average) |
| LS0 | Expected length (see prediction models for more details) |
| LS0min | Minimal expected length (see prediction models for more details) |
| LS0max | Maximal expected length (see prediction models for more details) |
| RLS | Rate ratio (LS1 / LS0 ) |
| LS0CH | Swiss average in all Swiss hospitals from 2014-2016 satisfying data quality requirement |
| LS1a | Adjusted rate (rate ratio * benchmark average) |
| vLS | Results |
| A: low rate (LS1 < LS0min) |
| B: in the standard (LS0min < LS1 < LS0max) |
| C: high rate (LS1 > LS0max) |
| |
| These results are given globally in “Length” Excel tab. They are given in separate Excel files for each site of the hospital, split according to the context of the stay: back to home with or without a potentially avoidable readmission, waiting for nursing home bed, medical justification of the stay, transfer, etc. |
