The Geneva Canton organized the health crisis of the COVID-19 epidemic around the care ofCOVID patients at the University Hospital (HUG), by moving the care of non-COVID patientsto private hospitals of the canton. The COVID epidemic appears to have been associatedwith a decrease in consultations and care for non-COVID patients. An excess of morbidityand mortality (non-COVID) would be possible during or after the epidemic in connectionwith this "under-medicalization" of non-COVID patients.The aim of this study is to measure and analyze the impact on the morbidity and mortalityof inpatients during and after the COVID-19 epidemic in the adult inpatient wards of HUGand township hospitals / clinics.
The analysis of the various results will be carried out on all HUGs and on the various
hospitals / clinics in the canton.
A survival analysis for the outcome of death or rehospitalization will be performed, with
a comparison according to each period.
After epidemy evolution, finally, the outcomes will be compared between periods pre-COVID
(from 01 march 2019 to 28 february 2020) versus per-COVID (01 march 2020 to 28 february
2022), and versus post-COVID (01 march 2022 to 28 february 2023). And comparaison would
be performed between periods during the wave (per-wave) versus periods inter-wave.
A description will be made in number (%) for numerical data and in median (IQR) for
quantitative data. Univariate comparisons between the different periods will be carried
out by statistical tests, parametric or not, adapted according to the data (Chi2 or
Fisher's test for qualitative data, Student's test or Mann-Whitney-Wilcoxon for
quantitative data). Statistical significance will be retained in the event of p <0.05.
Multivariate analysis will be performed by logistic regression for the main outcome and
by cox model for survival analysis. Different variables will be included in the models,
including data on gender, age and comorbidity, as well as any variable having a
difference with p <0.2 in univariate analysis.
Secondary analyzes will be carried out by pathology (as the main diagnosis) according to
the specific results defined for each situation. In retrospective analysis, these
specific data will be relatively limited on the HUG area of full analysis brings together
around total of 240,000 hospital stays. The main outcome data will be complete with no
missing data. On the other hand, since this is retrospective data, it is possible that
some important variables are missing. In this case, other patient data with missing data
will not be included in the multivariate analyzes. In the event of missing data greater
than 10%, a second sensitivity analysis may be performed after replacing the missing data
with a multiple imputation method.
Inclusion Criteria:
- Patient hospitalized in an adult department
- During the pre-period-COVID-19 period, the per-COVID-19 or the post-COVID-19 periods
ie from the 1st march 2019 to 28 february 2023.
Exclusion Criteria:
- Patients who have been hospitalized for COVID-19 infection
- Patients hospitalized in the Department of Adolescent Woman and Child, Department of
Psychiatry or Intensive Care Department during the same periods.
Geneva University Hospital
Geneva, Canton De Genève, Switzerland
Jerome Stirnemann, MD, Principal Investigator
University Hospital, Geneva