Compassion in healthcare: a concept analysis

TAYLOR, Amy, HODGSON, Denyse, GEE, Melanie and COLLINS, Karen (2017). Compassion in healthcare: a concept analysis. Journal of Radiotherapy in Practice, 1-11. (In Press)

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Link to published version:: 10.1017/S1460396917000322

Abstract

Background Compassion and compassionate care are central to radiographers’ professional policy and practice and are congruent with the core values of the National Health Service (NHS) Constitution. The term compassion however is over-used, ambiguous and vague. This work sought to explore and provide contextual understanding to the term, compassion in healthcare. Method Walker and Avant’s Eight-step model was used as the framework for the concept analysis. Data collection utilised a number of resources including online databases: Medline, CINAHL complete, Scopus, PubMed, PsycINFO, Science Direct, Cochrane and DARE; dictionaries, social media, internet sources, books and doctoral theses. 296 resources were included in the review. Results The concept analysis distinguishes the defining characteristics of compassion within a healthcare context, allowing for associated meanings and behaviours to be outlined aiding understanding of compassion. Compassion in healthcare requires five defining attributes to be present: Recognition, Connection, Altruistic desire, Humanistic response and Action. Conclusion The findings identify the complexity of the term and subjective nature in which it is displayed and in turn perceived. The concept analysis forms the basis of further research aiming to develop a healthcare explicit definition of compassion within healthcare, specifically cancer care and radiography practices. Lucidity will enhance understanding; facilitating active engagement and implementation into practice.

Item Type: Article
Research Institute, Centre or Group: Centre for Health and Social Care Research
Identification Number: 10.1017/S1460396917000322
Related URLs:
Depositing User: Amy Taylor
Date Deposited: 13 Jul 2017 16:17
Last Modified: 08 Aug 2017 15:13
URI: http://shura.shu.ac.uk/id/eprint/16040

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