Patients have a right to decline or withdraw LVADs. Informed consent and shared decision making is not easy, however, with treatments that are high risk, high reward.
AMA J Ethics. 2019;21(5):E394-400. doi:
10.1001/amajethics.2019.394.
Efrat Lelkes, MD, Angira Patel, MD, MPH, Anna Joong, MD, and Jeffrey G. Gossett, MD
Current policy requires separate informed consent for some Public Health Service increased-risk donors, and this can make shared decision making harder.
AMA J Ethics. 2020;22(5):E401-407. doi:
10.1001/amajethics.2020.401.
Patrick S. Phelan, Mary C. Politi, PhD, and Christopher J. Dy, MD, MPH
During immediate and long-term recovery periods, decisions must account for patients’ personal goals and possible clinical outcomes and should clarify what recovery means.
AMA J Ethics. 2020;22(5):E380-387. doi:
10.1001/amajethics.2020.380.
The separation of dental and medical care is a medical ethics issue because it negatively impacts vulnerable populations who lack access to dental care.
AMA J Ethics. 2016;18(9):861-868. doi:
10.1001/journalofethics.2016.18.9.peer1-1609.
Dr Christy Cauley joins Ethics Talk to discuss her article, coauthored with Dr Zara Cooper: "Which Priorities Should Guide Palliative Surgical Research?"
Priorities far beyond generating morbidity or mortality data are needed to improve patients’ experiences, innovate metrics, and advance surgical palliation as a field.
AMA J Ethics. 2021;23(10):E806-810. doi:
10.1001/amajethics.2021.806.
Physicians have an obligation to consider a patient’s quality of life when making treatment decisions and should consider giving patients the options of withholding or withdrawing aggressive treatment if that treatment will not restore the kind of life the patient finds meaningful.
The Moseley study found no significant difference between those in the arthroscopic lavage and debridement arm of the study and those in the sham surgery arm.
This process of developing EBM-based guidelines and applying them to clinical care highlights the tension between generating unbiased knowledge based on statistical aggregation and the application of this information to individual patients.