Aim: Measure the number of deaths not related to expected end of life and not related to pre-hospital care.

Cases: Total of patients discharges dead (variable “discharge decision” = 5), among eligible population.

Eligible population: All stays in acute somatic care units excepted from:

  • Stays assigned to Swiss statistics codes M500, M900, M950, M990, if the average length of stay exceed 10 days
  • Stays with a zero length of stay (only among stays aggregated according to SwissDRGs rules)
  • Newborn deaths on first day

Patients receiving preventive or curative major procedures or a planned chemotherapy (Z-mC) are included in the eligible population.

All other stays are included, except if they correspond to patients that are probably living their last months of life (i.e. expected end of life) or to patients requiring resuscitation at admission (i.e. related to pre-hospital care). These two last exclusion criteria are detailed below.

Expected end of life exclusion criteria: Patients are excluded if they have at least three metastatic neoplasms (C78*, C790-C798) or they have a total score of at least three points, depending on severe and evolutive chronic conditions (metastasis, malignant neoplasms, malnutrition, immunodeficiency, dependence, extremely low birth weight, dementia, chronic kidney disease-stage 5, hepatorenal syndrome, more than 80 years old).

Resuscitation at admission criteria: Patients are excluded if they died less than 5 days after their admission and suffer from one of the following conditions: cerebral and head trauma, effect of electric current, cardiac arrest, ventricular fibrillation and flutter, respiratory arrest, anencephaly, stroke, ruptured aneurysm, myocardial infarct. If they survived at least 5 days, they are however eligible.

Click here for more details: eligible population.

Output files: Results are given by hospital and site in Death.xlsx file. There are detailed by hospital stay in Eligible_death.txt.

Interpretation: Premature deaths correspond to deaths, which might be prevented with best quality of care in an ideal world. If the observed rate is greater than the maximum expected rate, the potential of death reduction (impact) can be expressed as the difference between observed and expected rates multiplied by the size of the eligible population. A review of the causes of death (complications, ineffective treatment or surgery, etc.) might help to implement corrective measures (increasing the early detection of vital complication, continuing teaching and training, preventive transfer to more skilled hospitals, etc.).

Strength of the indicator: The review of premature deaths often shows a dramatic sequence of complication and treatment attempts failing to save the lives. A certain non-compressible threshold of such adverse events is difficult to avoid (the expected rate expresses this inescapable risk of medicine). If the observed rate is lower than expected, the hospital is probably secure. On the contrary, if it the latter is higher than the former, SQLape indicator has more chance to detect avoidable issue than usual measures of death rates, which might be impacted by end of life or palliative care.

Limitations: Experience has shown that high rates of premature deaths might be correlated with aggressive surgery among patients ending their lives, thus prolonging the life of these patients beyond the exclusion threshold. Therefore, a high premature death rate might indicate a propensity of the hospital to conduct such life-prolonging therapy, and not only an issue of hospital security. Such aggressive procedures are sometimes justified by the fact that the patient will have some good days ahead.  In such cases, it would thus be interesting to consider the quality of life after the operations to assess the appropriateness of such interventions.