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Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data

BACKGROUND: Pain, breathlessness and fatigue are some of the most challenging symptoms to manage in patients with advanced disease. Specialist palliative care leads to better symptom management, but factors contributing to successful symptom management in this context have not been explored. Our aim...

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Autores principales: Chapman, Emma J., Pini, Simon, Edwards, Zoe, Elmokhallalati, Yousuf, Murtagh, Fliss E. M., Bennett, Michael I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815221/
https://www.ncbi.nlm.nih.gov/pubmed/35115005
http://dx.doi.org/10.1186/s12904-022-00904-9
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author Chapman, Emma J.
Pini, Simon
Edwards, Zoe
Elmokhallalati, Yousuf
Murtagh, Fliss E. M.
Bennett, Michael I.
author_facet Chapman, Emma J.
Pini, Simon
Edwards, Zoe
Elmokhallalati, Yousuf
Murtagh, Fliss E. M.
Bennett, Michael I.
author_sort Chapman, Emma J.
collection PubMed
description BACKGROUND: Pain, breathlessness and fatigue are some of the most challenging symptoms to manage in patients with advanced disease. Specialist palliative care leads to better symptom management, but factors contributing to successful symptom management in this context have not been explored. Our aim was to understand what facilitates effective symptom management in specialist palliative care within UK hospices and investigate what barriers are experienced. METHODS: This was a grounded theory study using qualitative semi-structured focus groups and interviews. Participants were recruited from multidisciplinary specialist palliative care teams (doctors, nurses, healthcare assistants, physiotherapists, occupational therapists, complementary therapists, social workers and chaplains) working in inpatient, outpatient and community services provided by five hospices in the United Kingdom. RESULTS: We present a novel qualitative data-derived model of effective symptom management in specialist palliative care. We describe a co-ordinated, multi-faceted, sequential approach involving a process of engagement, partnership, decision-making, and delivery. Interventions to manage symptoms are less effective in psychologically distressed patients. Our data highlights that families of patients have a key role in determining effectiveness of symptom management interventions A holistic approach by a co-ordinated, multi-disciplinary team, including support to recognise and minimise psychological distress might facilitate more effective symptom management. Barriers to symptom management include team discordance and lack of understanding about symptom management by patient and families. CONCLUSIONS: Shared decision-making between patients and professionals and co-ordination of care by a multi-disciplinary team are key components of effective symptom management. Actions to address psychological distress and evaluate the understanding and expectations of patients and their families would enable more effective symptom management. A more effective multi-disciplinary approach would be facilitated by discussion within teams about role competencies and boundaries. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12904-022-00904-9.
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spelling pubmed-88152212022-02-07 Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data Chapman, Emma J. Pini, Simon Edwards, Zoe Elmokhallalati, Yousuf Murtagh, Fliss E. M. Bennett, Michael I. BMC Palliat Care Research BACKGROUND: Pain, breathlessness and fatigue are some of the most challenging symptoms to manage in patients with advanced disease. Specialist palliative care leads to better symptom management, but factors contributing to successful symptom management in this context have not been explored. Our aim was to understand what facilitates effective symptom management in specialist palliative care within UK hospices and investigate what barriers are experienced. METHODS: This was a grounded theory study using qualitative semi-structured focus groups and interviews. Participants were recruited from multidisciplinary specialist palliative care teams (doctors, nurses, healthcare assistants, physiotherapists, occupational therapists, complementary therapists, social workers and chaplains) working in inpatient, outpatient and community services provided by five hospices in the United Kingdom. RESULTS: We present a novel qualitative data-derived model of effective symptom management in specialist palliative care. We describe a co-ordinated, multi-faceted, sequential approach involving a process of engagement, partnership, decision-making, and delivery. Interventions to manage symptoms are less effective in psychologically distressed patients. Our data highlights that families of patients have a key role in determining effectiveness of symptom management interventions A holistic approach by a co-ordinated, multi-disciplinary team, including support to recognise and minimise psychological distress might facilitate more effective symptom management. Barriers to symptom management include team discordance and lack of understanding about symptom management by patient and families. CONCLUSIONS: Shared decision-making between patients and professionals and co-ordination of care by a multi-disciplinary team are key components of effective symptom management. Actions to address psychological distress and evaluate the understanding and expectations of patients and their families would enable more effective symptom management. A more effective multi-disciplinary approach would be facilitated by discussion within teams about role competencies and boundaries. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12904-022-00904-9. BioMed Central 2022-02-04 /pmc/articles/PMC8815221/ /pubmed/35115005 http://dx.doi.org/10.1186/s12904-022-00904-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chapman, Emma J.
Pini, Simon
Edwards, Zoe
Elmokhallalati, Yousuf
Murtagh, Fliss E. M.
Bennett, Michael I.
Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data
title Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data
title_full Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data
title_fullStr Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data
title_full_unstemmed Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data
title_short Conceptualising effective symptom management in palliative care: a novel model derived from qualitative data
title_sort conceptualising effective symptom management in palliative care: a novel model derived from qualitative data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815221/
https://www.ncbi.nlm.nih.gov/pubmed/35115005
http://dx.doi.org/10.1186/s12904-022-00904-9
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