Title |
Modelling the landscape of palliative care for people with dementia: a European mixed methods study
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Published in |
BMC Palliative Care, August 2013
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DOI | 10.1186/1472-684x-12-30 |
Pubmed ID | |
Authors |
Steve Iliffe, Nathan Davies, Myrra Vernooij-Dassen, Jasper van Riet Paap, Ragni Sommerbakk, Elena Mariani, Birgit Jaspers, Lukas Radbruch, Jill Manthorpe, Laura Maio, Dagny Haugen, Yvonne Engels, for the IMPACT research team |
Abstract |
Palliative care for people with dementia is often sub-optimal. This is partly because of the challenging nature of dementia itself, and partly because of system failings that are particularly salient in primary care and community services. There is a need to systematize palliative care for people with dementia, to clarify where changes in practice could be made.To develop a model of palliative care for people with dementia that captures commonalities and differences across Europe, a technology development approach was adopted, using mixed methods including 1) critical synthesis of the research literature and policy documents, 2) interviews with national experts in policy, service organisation, service delivery, patient and carer interests, and research in palliative care, and 3) nominal groups of researchers tasked with synthesising data and modelling palliative care. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 27% |
Netherlands | 3 | 27% |
Unknown | 5 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 55% |
Practitioners (doctors, other healthcare professionals) | 3 | 27% |
Scientists | 2 | 18% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 115 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 19% |
Student > Ph. D. Student | 18 | 15% |
Student > Master | 17 | 15% |
Student > Bachelor | 12 | 10% |
Student > Doctoral Student | 8 | 7% |
Other | 25 | 21% |
Unknown | 15 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 26% |
Nursing and Health Professions | 19 | 16% |
Social Sciences | 18 | 15% |
Psychology | 12 | 10% |
Computer Science | 4 | 3% |
Other | 9 | 8% |
Unknown | 24 | 21% |