Building and maintaining resilience in health care requires psychological and organizational attitudes that could be affected by the lack of worker well-being. Resilience requires the ability to give strong responses to weak signals, but, if well-being is threatened, workers are more committed to defend it, than detecting and monitoring weak signals in foresight. Malaise is a weak signal itself that, as well as leading to accidents due to fatigue, miscommunication, distraction, etc., blocks operators at a resource-saving cognitive level that prevents noticing and reporting further weak signals. We adopted the Skill-Rule-Knowledge model by Rasmussen as a framework to conceive resilience as continuous movement of workers along the three steps of the ladder. According to this model, we describe a research-intervention project carried out in a few Italian hospitals where trainees were enabled to develop a tool for detecting and monitoring malaise and threats to safety. Its potentials for reducing effects like distrust, resignation, cynicism, helplessness are discussed in light of a well-being-based resilience engineering.

Improving resilience through practitioners’ well-being: an experience in Italian health-care

BRACCO, FABRIZIO;BRUNO, ANDREINA;
2011-01-01

Abstract

Building and maintaining resilience in health care requires psychological and organizational attitudes that could be affected by the lack of worker well-being. Resilience requires the ability to give strong responses to weak signals, but, if well-being is threatened, workers are more committed to defend it, than detecting and monitoring weak signals in foresight. Malaise is a weak signal itself that, as well as leading to accidents due to fatigue, miscommunication, distraction, etc., blocks operators at a resource-saving cognitive level that prevents noticing and reporting further weak signals. We adopted the Skill-Rule-Knowledge model by Rasmussen as a framework to conceive resilience as continuous movement of workers along the three steps of the ladder. According to this model, we describe a research-intervention project carried out in a few Italian hospitals where trainees were enabled to develop a tool for detecting and monitoring malaise and threats to safety. Its potentials for reducing effects like distrust, resignation, cynicism, helplessness are discussed in light of a well-being-based resilience engineering.
2011
9782911256479
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/304122
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