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The assessment and management of pain in patients with dementia in hospital settings: a multi-case exploratory study from a decision making perspective

Overview of attention for article published in BMC Health Services Research, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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11 X users
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1 Facebook page

Citations

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64 Dimensions

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293 Mendeley
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Title
The assessment and management of pain in patients with dementia in hospital settings: a multi-case exploratory study from a decision making perspective
Published in
BMC Health Services Research, August 2016
DOI 10.1186/s12913-016-1690-1
Pubmed ID
Authors

Valentina Lichtner, Dawn Dowding, Nick Allcock, John Keady, Elizabeth L. Sampson, Michelle Briggs, Anne Corbett, Kirstin James, Reena Lasrado, Caroline Swarbrick, S. José Closs

Abstract

Pain is often poorly managed in people who have a dementia. Little is known about how this patient population is managed in hospital, with research to date focused mainly on care homes. This study aimed to investigate how pain is recognised, assessed and managed in patients with dementia in a range of acute hospital wards, to inform the development of a decision support tool to improve pain management for this group. A qualitative, multi-site exploratory case study. Data were collected in four hospitals in England and Scotland. Methods included non-participant observations, audits of patient records, semi-structured interviews with staff and carers, and analysis of hospital ward documents. Thematic analysis was performed through the lens of decision making theory. Staff generally relied on patients' self-report of pain. For patients with dementia, however, communication difficulties experienced because of their condition, the organisational context, and time frames of staff interactions, hindered patients' ability to provide staff with information about their pain experience. This potentially undermined the trials of medications used to provide pain relief to each patient and assessments of their responses to these treatments. Furthermore, given the multidisciplinary environment, a patient's communication about their pain involved several members of staff, each having to make sense of the patient's pain as in an 'overall picture'. Information about patients' pain, elicited in different ways, at different times and by different health care staff, was fragmented in paper-based documentation. Re-assembling the pieces to form a 'patient specific picture of the pain' required collective staff memory, 'mental computation' and time. There is a need for an efficient method of eliciting and centralizing all pain-related information for patients with dementia, which is distributed in time and between personnel. Such a method should give an overall picture of a patient's pain which is rapidly accessible to all involved in their care. This would provide a much-needed basis for making decisions to support the effective management of the pain of older people with dementia in hospital.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Canada 1 <1%
Unknown 291 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 42 14%
Student > Master 40 14%
Student > Ph. D. Student 32 11%
Unspecified 29 10%
Researcher 18 6%
Other 48 16%
Unknown 84 29%
Readers by discipline Count As %
Nursing and Health Professions 69 24%
Medicine and Dentistry 46 16%
Unspecified 29 10%
Psychology 17 6%
Social Sciences 14 5%
Other 31 11%
Unknown 87 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 December 2019.
All research outputs
#4,055,308
of 23,322,258 outputs
Outputs from BMC Health Services Research
#1,820
of 7,806 outputs
Outputs of similar age
#68,474
of 343,050 outputs
Outputs of similar age from BMC Health Services Research
#54
of 247 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 76% of its peers.
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 343,050 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.