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1.
Br J Gen Pract ; 68(670): e360-e369, 2018 05.
Article in English | MEDLINE | ID: mdl-29581129

ABSTRACT

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'.


Subject(s)
Electronic Health Records/statistics & numerical data , Mass Screening/instrumentation , Palliative Care , Patient Selection , Primary Health Care , Software , Disease Management , Humans , Palliative Care/organization & administration , Primary Health Care/organization & administration , Qualitative Research , Quality Improvement , Scotland
2.
BMC Fam Pract ; 16: 99, 2015 Aug 08.
Article in English | MEDLINE | ID: mdl-26253101

ABSTRACT

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.


Subject(s)
Electronic Health Records , General Practice/organization & administration , Information Storage and Retrieval/methods , Palliative Care/organization & administration , Patient Selection , Primary Health Care/organization & administration , Algorithms , Feasibility Studies , Humans , Qualitative Research , Retrospective Studies , Scotland
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