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Background: Approximately 600,000 people die in the UK annually, usually after months or years of increasing debility. Many patients with advanced conditions are not identified for appropriate support before they die because they are not seen as having "palliative" care needs. General practice information technology systems can improve care by identifying patients with deteriorating health so that their healthcare needs can be reviewed more systematically and effectively. The aim was to develop and test a computerised search of primary care records in routine clinical practice as a tool to improve patient identification for a palliative care approach. Methods: An iterative process of search design and testing followed by implementation and extended testing of the search output in clinical practice. A three-phase feasibility study: developing a computerised search, determining its ability to identify patients with deteriorating health from any advanced condition, and assessing how primary care clinicians use the results to improve patient care. The setting was twelve primary care teams in two Health Boards in Scotland. Results: The search identified 0.6-1.7 % of patients in each practice who were not already on the palliative care register. Primary care clinicians judged that 30-60 % of these patients were at risk of dying or deterioration over the next 6-12 months. The most common action taken by GPs was to start an electronic anticipatory care plan. Conclusions: It is possible to significantly improve the identification of patients for palliative care needs assessment using a computerised search however barriers remain to GPs' finding it acceptable. Time-efficient systems were important as was a generic tool for anticipatory care planning not linked to 'palliative' care.
|Journal||BMC Family Practice|
|Early online date||8 Aug 2015|
|Publication status||Published - 8 Aug 2015|
- General practice
- Palliative care
- Primary healthcare
- Qualitative research
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- 1 Finished
- Deanery of Molecular, Genetic and Population Health Sciences - Reader
- Global Health Academy
- Usher Institute
- Centre for Population Health Sciences
Person: Academic: Research Active