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Article

Recognition by family members that relatives with neurodegenerative disease are likely to die within a year: a meta-ethnography

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Citation

Hubbard G, McLachlan K, Forbat L & Munday D (2012) Recognition by family members that relatives with neurodegenerative disease are likely to die within a year: a meta-ethnography. Palliative Medicine, 26 (2), pp. 108-122. https://doi.org/10.1177/0269216311402712

Abstract
OBJECTIVE To synthesize evidence of family members recognizing that their relative is likely to die within the year, and identifying the need for palliative care. DESIGN A meta-ethnography of studies of family members in multiple sclerosis (MS), Parkinson's disease (PD) and motor neuron disease (MND). Review methods: Systematic search in electronic databases; thematic synthesis guided by the principles of meta-ethnography, which is a method for thematic synthesis of qualitative studies. RESULTS Nine articles were included. The results of the synthesis identified two key themes. First, family members are intimately aware of changes in their relative's health and well-being. Sub-themes include family member awareness of different and progressive stages of the disease, noticing deterioration, noticing decline in functional abilities and recognizing that their relative will die. The second key theme is dilemmas of being involved in prognostication. Sub-themes include family member ambivalence toward hearing about prognostication, health professionals not being knowledgeable of the disease and family reluctance to receive palliative care. CONCLUSIONS Family members monitor and recognize changes in their relative with PD, MND and MS and in themselves. Thus, drawing on the expertise of family members may be a useful tool for prognostication.

Keywords
Family; motor neuron disease; multiple sclerosis; palliative care; Parkinson’s disease; prognostication ; Cancer care

Journal
Palliative Medicine: Volume 26, Issue 2

StatusPublished
Publication date31/03/2012
URL
PublisherSAGE
ISSN0269-2163

People (1)

Professor Liz Forbat

Professor Liz Forbat

Professor, Faculty of Social Sciences