Literature DB >> 23580631

Toward the modelling of safety violations in healthcare systems.

Ken Catchpole1.   

Abstract

When frontline staff do not adhere to policies, protocols, or checklists, managers often regard these violations as indicating poor practice or even negligence. More often than not, however, these policy and protocol violations reflect the efforts of well intentioned professionals to carry out their work efficiently in the face of systems poorly designed to meet the diverse demands of patient care. Thus, non-compliance with institutional policies and protocols often signals a systems problem, rather than a people problem, and can be influenced among other things by training, competing goals, context, process, location, case complexity, individual beliefs, the direct or indirect influence of others, job pressure, flexibility, rule definition, and clinician-centred design. Three candidates are considered for developing a model of safety behaviour and decision making. The dynamic safety model helps to understand the relationship between systems designs and human performance. The theory of planned behaviour suggests that intention is a function of attitudes, social norms and perceived behavioural control. The naturalistic decision making paradigm posits that decisions are based on a wider view of multiple patients, expertise, systems complexity, behavioural intention, individual beliefs and current understanding of the system. Understanding and predicting behavioural safety decisions could help us to encourage compliance to current processes and to design better interventions.

Entities:  

Keywords:  Attitudes; Cognitive biases; Decision making; Risk management; Safety culture

Mesh:

Year:  2013        PMID: 23580631     DOI: 10.1136/bmjqs-2012-001604

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  2 in total

1.  Silence that can be dangerous: a vignette study to assess healthcare professionals' likelihood of speaking up about safety concerns.

Authors:  David L B Schwappach; Katrin Gehring
Journal:  PLoS One       Date:  2014-08-12       Impact factor: 3.240

2.  Assisting beginners in root cause analysis operations: analysis and recommendations regarding the spread of COVID-19 in nursing facilities for the elderly.

Authors:  Hitoshi Tsuchiya
Journal:  BMJ Open Qual       Date:  2020-09
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.