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Developing a computerised search to help UK General Practices identify more patients for palliative care planning: a feasibility study

Overview of attention for article published in BMC Primary Care, August 2015
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Title
Developing a computerised search to help UK General Practices identify more patients for palliative care planning: a feasibility study
Published in
BMC Primary Care, August 2015
DOI 10.1186/s12875-015-0312-z
Pubmed ID
Authors

Bruce Mason, Kirsty Boyd, Scott A Murray, John Steyn, Paul Cormie, Marilyn Kendall, Dan Munday, David Weller, Shirley Fife, Peter Murchie, Christine Campbell

Abstract

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. 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. 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. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Canada 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 18%
Student > Master 15 16%
Student > Ph. D. Student 10 11%
Other 10 11%
Student > Bachelor 8 8%
Other 17 18%
Unknown 18 19%
Readers by discipline Count As %
Medicine and Dentistry 41 43%
Nursing and Health Professions 10 11%
Social Sciences 7 7%
Psychology 4 4%
Computer Science 2 2%
Other 9 9%
Unknown 22 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2016.
All research outputs
#14,915,133
of 25,374,647 outputs
Outputs from BMC Primary Care
#1,330
of 2,359 outputs
Outputs of similar age
#130,608
of 275,817 outputs
Outputs of similar age from BMC Primary Care
#30
of 51 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,817 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.