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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 Family Practice, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

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4 tweeters

Citations

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20 Dimensions

Readers on

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94 Mendeley
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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 Family Practice, 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.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 94 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 92 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 17%
Other 15 16%
Student > Master 14 15%
Student > Ph. D. Student 10 11%
Student > Bachelor 8 9%
Other 17 18%
Unknown 14 15%
Readers by discipline Count As %
Medicine and Dentistry 46 49%
Nursing and Health Professions 10 11%
Social Sciences 7 7%
Psychology 4 4%
Computer Science 2 2%
Other 7 7%
Unknown 18 19%

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
#9,056,463
of 16,682,934 outputs
Outputs from BMC Family Practice
#899
of 1,691 outputs
Outputs of similar age
#96,144
of 237,872 outputs
Outputs of similar age from BMC Family Practice
#1
of 1 outputs
Altmetric has tracked 16,682,934 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,691 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 45th percentile – i.e., 45% 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 237,872 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 58% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them