We have a new preprint on the study of healthcare-associated infections:
Reorganization of nurse scheduling reduces the risk of healthcare associated infections
E Valdano, C Poletto, PY Boelle, V Colizza
We use time-referenced contact data measured by Sociopatterns sensors at a short-stay geriatric ward of a hospital in Lyon. After studying the activity pattern of nurses, we propose a proof-of-concept modeling study for hospital infection control based on the reorganization of care in a hospital ward through changes in the schedule of work shifts of nurses.
The reorganized schedule maintains full staff capacity at any given time, preserves all time-referenced contacts recorded in the dataset without affecting quality standards of medical services, and respects basic occupational constraints (weekly workload, length of a work shift).
Reorganization of nurse scheduling reduces the risk of healthcare associated infections
E Valdano, C Poletto, PY Boelle, V Colizza
We use time-referenced contact data measured by Sociopatterns sensors at a short-stay geriatric ward of a hospital in Lyon. After studying the activity pattern of nurses, we propose a proof-of-concept modeling study for hospital infection control based on the reorganization of care in a hospital ward through changes in the schedule of work shifts of nurses.
The reorganized schedule maintains full staff capacity at any given time, preserves all time-referenced contacts recorded in the dataset without affecting quality standards of medical services, and respects basic occupational constraints (weekly workload, length of a work shift).
Reorganizing nurses' schedules reduce HAI risk by 27%, thus offering an alternative change of practice to substantially limit HAI risk in the ward while ensuring the timeliness and quality of healthcare services. In the study we identify a roadmap to include optimization of nurse scheduling practices in programs for better infection control in hospitals.
This study is done within the framework of the SPHINX project.
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