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What do Japanese residents learn from treating dying patients? The implications for training in end-of-life care

Overview of attention for article published in BMC Medical Education, November 2017
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Title
What do Japanese residents learn from treating dying patients? The implications for training in end-of-life care
Published in
BMC Medical Education, November 2017
DOI 10.1186/s12909-017-1029-6
Pubmed ID
Authors

Kazuko Arai, Takuya Saiki, Rintaro Imafuku, Chihiro Kawakami, Kazuhiko Fujisaki, Yasuyuki Suzuki

Abstract

How medical residents' experiences with care for dying patients affect their emotional well-being, their learning outcomes, and the formation of their professional identities is not fully understood. We examine residents' emotional states and learning occurring during the provision of care to dying patients and specifically discuss the impact of providing end-of-life (EOL) care on professional identity formation. Semi-structured interviews were conducted with 13 residents who had graduated in the last 3 to 5 years. Thematic theoretical analysis was applied, and key themes were developed based on Kolb's experiential learning cycle. Eight key themes emerged from the analysis. The residents experienced dilemmas in confronting the reality of medical uncertainty as well as a disruption of emotional state and self-efficacy. Although the residents felt a sense of helplessness and guilt, they were able to reflect on strategies for handling medical care that focused on patients and that required a truly sincere attitude. They also contemplated the importance of palliative care and communication with patients, patients' family members and medical staff. Building on these experiences, the residents rebuilt a sense of awareness that allowed them to directly engage with the type of medical care that they are likely to be called upon to perform in the future as the population continues to age. This study revealed Japanese residents' perceptions, emotions and learning processes in caring for dying patients by applying Kolb's experiential learning theory. The findings of this study may illuminate valuable pieces of knowledge for future education in EOL care.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Student > Bachelor 11 11%
Other 8 8%
Researcher 7 7%
Student > Doctoral Student 7 7%
Other 19 18%
Unknown 33 32%
Readers by discipline Count As %
Medicine and Dentistry 35 34%
Nursing and Health Professions 10 10%
Social Sciences 6 6%
Psychology 6 6%
Computer Science 2 2%
Other 7 7%
Unknown 37 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 January 2018.
All research outputs
#14,958,596
of 23,007,887 outputs
Outputs from BMC Medical Education
#2,169
of 3,365 outputs
Outputs of similar age
#192,929
of 326,002 outputs
Outputs of similar age from BMC Medical Education
#75
of 89 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,365 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 32nd percentile – i.e., 32% 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 326,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.