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Stakeholders’ views on identifying patients in primary care at risk of dying: a qualitative descriptive study using focus groups and interviews

Overview of attention for article published in British Journal of General Practice, August 2018
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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7 X users
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1 Facebook page

Citations

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73 Mendeley
Title
Stakeholders’ views on identifying patients in primary care at risk of dying: a qualitative descriptive study using focus groups and interviews
Published in
British Journal of General Practice, August 2018
DOI 10.3399/bjgp18x698345
Pubmed ID
Authors

Robin Urquhart, Jyoti Kotecha, Cynthia Kendell, Mary Martin, Han Han, Beverley Lawson, Cheryl Tschupruk, Emily Gard Marshall, Carol Bennett, Fred Burge

Abstract

Strategies have been developed for use in primary care to identify patients at risk of declining health and dying, yet little is known about the perceptions of doing so or the broader implications and impacts. To explore the acceptability and implications of using a primary care-based electronic medical record algorithm to help providers identify patients in their practice at risk of declining health and dying. Qualitative descriptive study in Ontario and Nova Scotia, Canada. Six focus groups were conducted, supplemented by one-on-one interviews, with 29 healthcare providers, managers, and policymakers in primary care, palliative care, and geriatric care. Participants were purposively sampled to achieve maximal variation. Data were analysed using a constant comparative approach. Six themes were prevalent across the dataset: early identification is aligned with the values, aims, and positioning of primary care; providers have concerns about what to do after identification; how we communicate about the end of life requires change; early identification and subsequent conversations require an integrated team approach; for patients, early identification will have implications beyond medical care; and a public health approach is needed to optimise early identification and its impact. Stakeholders were much more concerned with how primary care providers would navigate the post-identification period than with early identification itself. Implications of early identification include the need for a team- based approach to identification and to engage broader communities to ensure people live and die well post-identification.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 19%
Student > Master 11 15%
Researcher 10 14%
Student > Ph. D. Student 4 5%
Other 3 4%
Other 10 14%
Unknown 21 29%
Readers by discipline Count As %
Medicine and Dentistry 17 23%
Nursing and Health Professions 15 21%
Psychology 4 5%
Business, Management and Accounting 2 3%
Engineering 2 3%
Other 7 10%
Unknown 26 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 October 2019.
All research outputs
#6,467,740
of 23,099,576 outputs
Outputs from British Journal of General Practice
#2,159
of 4,327 outputs
Outputs of similar age
#112,538
of 330,840 outputs
Outputs of similar age from British Journal of General Practice
#48
of 101 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 4,327 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one is in the 49th percentile – i.e., 49% 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 330,840 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 65% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.