Publications by authors named "M Deschepper"
Background: Data quality is fundamental to maintaining the trust and reliability of health data for both primary and secondary purposes. However, before the secondary use of health data, it is essential to assess the quality at the source and to develop systematic methods for the assessment of important data quality dimensions.
Objective: This case study aims to offer a dual aim-to assess the data quality of height and weight measurements across 7 Belgian hospitals, focusing on the dimensions of completeness and consistency, and to outline the obstacles these hospitals face in sharing and improving data quality standards.
Objectives: To assess trends in surgical site infection (SSI) incidence in cardiosurgery following a quality improvement initiative in infection prevention and control (IP&C).
Methods: This is a historical cohort study encompassing a 10-year surveillance period (2014-2023) in a cardiosurgical department in a multi-organ transplant center. The study encompassed three periods: a baseline period (Phase_1: January 2014-December 2018); an implementation phase covering quality improvement initiatives targeting various aspects of IP&C including organizational factors, pre-operative, intra-operative, post-operative measures, and post-hospitalization care (Phase_2: January 2019-June 2021); a post-implementation phase (Phase_3: July 2021-September 2023).
Purpose: To review the existing literature on predicting length of stay (LOS) and to apply the findings on a Real World Data example in a single hospital.
Methods: Performing a literature review on PubMed and Embase, focusing on adults, acute conditions, and hospital-wide prediction of LOS, summarizing all the variables and statistical methods used to predict LOS. Then, we use this set of variables on a single university hospital and run an XGBoost model with Survival Cox regression on the LOS, as well as a logistic regression on binary LOS (cut-off at 4 days).
Article Synopsis
- The study analyzed intra-abdominal infections (IAI) in immunocompromised versus non-immunocompromised ICU patients using data from the "AbSeS" database, which included 2,589 patients across 309 ICUs in 42 countries.
- Immunocompromised patients (9.2% of the cohort) showed different infection patterns, such as more frequent typhlitis and a higher incidence of healthcare-associated infections, but had similar mortality rates compared to immunocompetent patients (31.1% vs. 28.9%).
- Key risk factors for mortality in immunocompromised patients included septic shock at presentation and ongoing inflammation after source control, indicating that despite presenting with more severe conditions