| 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 |
| qCP | Data quality (warning if all requirements are not met) |
| sCP | Total of complications score: |
| 10: premature death (PD1=1) |
| 4: potentially avoidable readmission (AR1=1)$ |
| 4: potentially avoidable reoperation (RO1=1) |
| 2: increased length of stay (LS1 > LS0) |
| 1: no one of above conditions |
| scores are halved if complications are suspected but not clearly stated by diagnosis codes) |
| eCP | Number of eligible stays |
| CP1 | Observed score (average) |
| CP0 | Expected score (see prediction models for more details) |
| CP0min | Minimal expected score (see prediction models for more details) |
| CP0max | Maximal expected score (see prediction models for more details) |
| RCP | Rate ratio (CP1 /CP0 ) |
| CP0CH | Swiss average in all Swiss hospitals from 2014-2016 satisfying data quality requirement |
| CP1a | Adjusted rate (rate ratio * benchmark average) |
| vCP | Results |
| A: low rate (CP1 < CP0min) |
| B: in the standard (CP0min < CP1 < CP0max) |
| C: high rate (CP1 > CP0max) |
| Complications indicators are given globally in “Complications_all.xlsx” Excel file. They are given in separate Excel files for each type of complications: shock, surgical infections, etc. |
