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Ethical climate in contemporary paediatric intensive care.

Katie M MoynihanLisa TaylorLiz CroweMary-Claire BalnavesHelen IrvingAl OzonoffRobert D TruogMelanie Jansen
Published in: Journal of medical ethics (2021)
Ethical climate (EC) has been broadly described as how well institutions respond to ethical issues. Developing a tool to study and evaluate EC that aims to achieve sustained improvements requires a contemporary framework with identified relevant drivers. An extensive literature review was performed, reviewing existing EC definitions, tools and areas where EC has been studied; ethical challenges and relevance of EC in contemporary paediatric intensive care (PIC); and relevant ethical theories. We surmised that existing EC definitions and tools designed to measure it fail to capture nuances of the PIC environment, and sought to address existing gaps by developing an EC framework for PIC founded on ethical theory. In this article, we propose a Paediatric Intensive Care Ethical Climate (PICEC) conceptual framework and four measurable domains to be captured by an assessment tool. We define PICEC as the collective felt experience of interdisciplinary team members arising from those factors that enable or constrain their ability to navigate ethical aspects of their work. PICEC both results from and is influenced by how well ethical issues are understood, identified, explored, reflected on, responded to and addressed in the workplace. PICEC encompasses four, core inter-related domains representing drivers of EC including: (1) organisational culture and leadership; (2) interdisciplinary team relationships and dynamics; (3) integrated child and family-centred care; and (4) ethics literacy. Future directions involve developing a PICEC measurement tool, with implications for benchmarking as well as guidance for, and evaluation of, targeted interventions to foster a healthy EC.
Keyphrases
  • decision making
  • intensive care unit
  • emergency department
  • climate change
  • healthcare
  • palliative care
  • quality improvement
  • public health
  • mental health
  • case report
  • machine learning
  • chronic pain
  • health information