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Computer screening for palliative care needs in primary care: a mixed-methods study
BACKGROUND: Though the majority of people could benefit from palliative care before they die, most do not receive this approach, especially those with multimorbidity and frailty. GPs find it difficult to identify such patients. AIM: To refine and evaluate the utility of a computer application (Antic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal College of General Practitioners
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5916083/ https://www.ncbi.nlm.nih.gov/pubmed/29581129 http://dx.doi.org/10.3399/bjgp18X695729 |
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author | Mason, Bruce Boyd, Kirsty Steyn, John Kendall, Marilyn Macpherson, Stella Murray, Scott A |
author_facet | Mason, Bruce Boyd, Kirsty Steyn, John Kendall, Marilyn Macpherson, Stella Murray, Scott A |
author_sort | Mason, Bruce |
collection | PubMed |
description | BACKGROUND: Though the majority of people could benefit from palliative care before they die, most do not receive this approach, especially those with multimorbidity and frailty. GPs find it difficult to identify such patients. AIM: To refine and evaluate the utility of a computer application (AnticiPal) to help primary care teams screen their registered patients for people who could benefit from palliative care. DESIGN AND SETTING: A mixed-methods study of eight GP practices in Scotland, conducted in 2016–2017. METHOD: After a search development cycle the authors adopted a mixed-methods approach, combining analysis of the number of people identified by the search with qualitative observations of the computer search as used by primary care teams, and interviews with professionals and patients. RESULTS: The search identified 0.8% of 62 708 registered patients. A total of 27 multidisciplinary meetings were observed, and eight GPs and 10 patients were interviewed. GPs thought the search identified many unrecognised patients with advanced multimorbidity and frailty, but were concerned about workload implications of assessment and care planning. Patients and carers endorsed the value of proactive identification of people with advanced illness. CONCLUSION: GP practices can use computer searching to generate lists of patients for review and care planning. The challenges of starting a conversation about the future remain. However, most patients regard key components of palliative care (proactive planning, including sharing information with urgent care services) as important. Screening for people with deteriorating health at risk from unplanned care is a current focus for quality improvement and should not be limited by labelling it solely as ‘palliative care’. |
format | Online Article Text |
id | pubmed-5916083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Royal College of General Practitioners |
record_format | MEDLINE/PubMed |
spelling | pubmed-59160832018-05-04 Computer screening for palliative care needs in primary care: a mixed-methods study Mason, Bruce Boyd, Kirsty Steyn, John Kendall, Marilyn Macpherson, Stella Murray, Scott A Br J Gen Pract Research BACKGROUND: Though the majority of people could benefit from palliative care before they die, most do not receive this approach, especially those with multimorbidity and frailty. GPs find it difficult to identify such patients. AIM: To refine and evaluate the utility of a computer application (AnticiPal) to help primary care teams screen their registered patients for people who could benefit from palliative care. DESIGN AND SETTING: A mixed-methods study of eight GP practices in Scotland, conducted in 2016–2017. METHOD: After a search development cycle the authors adopted a mixed-methods approach, combining analysis of the number of people identified by the search with qualitative observations of the computer search as used by primary care teams, and interviews with professionals and patients. RESULTS: The search identified 0.8% of 62 708 registered patients. A total of 27 multidisciplinary meetings were observed, and eight GPs and 10 patients were interviewed. GPs thought the search identified many unrecognised patients with advanced multimorbidity and frailty, but were concerned about workload implications of assessment and care planning. Patients and carers endorsed the value of proactive identification of people with advanced illness. CONCLUSION: GP practices can use computer searching to generate lists of patients for review and care planning. The challenges of starting a conversation about the future remain. However, most patients regard key components of palliative care (proactive planning, including sharing information with urgent care services) as important. Screening for people with deteriorating health at risk from unplanned care is a current focus for quality improvement and should not be limited by labelling it solely as ‘palliative care’. Royal College of General Practitioners 2018-05 2018-03-27 /pmc/articles/PMC5916083/ /pubmed/29581129 http://dx.doi.org/10.3399/bjgp18X695729 Text en © British Journal of General Practice 2018 This article is Open Access: CC BY-NC 4.0 licence (http://creativecommons.org/licences/by-nc/4.0/). |
spellingShingle | Research Mason, Bruce Boyd, Kirsty Steyn, John Kendall, Marilyn Macpherson, Stella Murray, Scott A Computer screening for palliative care needs in primary care: a mixed-methods study |
title | Computer screening for palliative care needs in primary care: a mixed-methods study |
title_full | Computer screening for palliative care needs in primary care: a mixed-methods study |
title_fullStr | Computer screening for palliative care needs in primary care: a mixed-methods study |
title_full_unstemmed | Computer screening for palliative care needs in primary care: a mixed-methods study |
title_short | Computer screening for palliative care needs in primary care: a mixed-methods study |
title_sort | computer screening for palliative care needs in primary care: a mixed-methods study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5916083/ https://www.ncbi.nlm.nih.gov/pubmed/29581129 http://dx.doi.org/10.3399/bjgp18X695729 |
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