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Living into death: a case for an iterative, fortified and cross-sector approach to advance care planning

Overview of attention for article published in Anthropology & Medicine, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

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80 Mendeley
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Article details
Title
Living into death: a case for an iterative, fortified and cross-sector approach to advance care planning
Published in
Anthropology & Medicine, May 2017
DOI 10.1080/13648470.2017.1285000
Pubmed ID
Authors
Abstract

Advance care planning (ACP) has been framed as best practice for quality palliative care, yet a growing body of literature affirms the need for an early iterative ACP process to begin when people are young and healthy. A significant gap appears to exist in the literature regarding the utility of death conversations outside the end-of-life context. Could 'death conversations' early in life be an effective tool by which doctor and patient can co-construct a more healthful way of life, and realistic relationship with death? And what variables must be taken into account for these conversations to proceed successfully? This paper provides a narrative exploration of the value of death conversations in the clinical context in New Zealand. Five exemplars are discussed, drawn from a sample of 21 semi-structured interviews with young older adults (54-65 years old) not receiving palliative care or diagnosed with a terminal illness. Together, these narratives indicate that further community consultation is required to determine culturally appropriate ways to initiate productive conversations around aging, death and dying and how to build patient/practitioner/family relationships which allow these conversations to happen safely. There is a need to acknowledge the important factor of culture related to age, generation, sex, faith and ethnicity when engaging in conversations about aging, death and dying. By doing so, health professionals will be best equipped to assist their patients to live well into death.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 17 21%
Student > Ph. D. Student 13 16%
Lecturer 7 9%
Researcher 5 6%
Student > Postgraduate 5 6%
Other 13 16%
Unknown 20 25%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 19 24%
Social Sciences 11 14%
Medicine and Dentistry 11 14%
Psychology 7 9%
Computer Science 3 4%
Other 7 9%
Unknown 22 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 January 2018.
All research outputs
#5,010,275
of 34,372,222 outputs
Outputs from Anthropology & Medicine
#62
of 367 outputs
Outputs of similar age
#66,441
of 356,793 outputs
Outputs of similar age from Anthropology & Medicine
#3
of 4 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 367 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 83% 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 356,793 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 81% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.