↓ Skip to main content

Influence of Psychiatric Symptoms on Decisional Capacity in Treatment Refusal

Overview of attention for article published in The AMA Journal of Ethic, May 2017
Altmetric Badge

Mentioned by

twitter
49 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Influence of Psychiatric Symptoms on Decisional Capacity in Treatment Refusal
Published in
The AMA Journal of Ethic, May 2017
DOI 10.1001/journalofethics.2017.19.5.ecas1-1705
Pubmed ID
Authors

Joshua M Baruth, Maria I Lapid

Abstract

How psychiatric symptoms affect patients' decision making in practice can inform how we think-theoretically and conceptually-about what it means for those patients to have decision-making capacity. Assessment of a patient's decisional capacity allows those with adequate capacity to make choices regarding treatment and protects those who lack capacity from potential harm caused by impaired decision making. In analyzing a case in which a patient with stage II breast cancer refuses further treatment, we review the conceptual model of informed consent and approaches to assessing decision-making capacity that are in accordance with the American Medical Association Code of Medical Ethics as well as tools to assess decisional capacity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 22%
Student > Doctoral Student 6 13%
Student > Master 6 13%
Professor > Associate Professor 5 11%
Other 4 9%
Other 9 20%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 16 36%
Nursing and Health Professions 7 16%
Psychology 4 9%
Arts and Humanities 2 4%
Agricultural and Biological Sciences 2 4%
Other 8 18%
Unknown 6 13%