Should old folks who have lived their lives be allowed to place a huge economic burden on the young by using a disproportionate amount of limited Medicare resources for medical care?
Annika Brakebill, A. Mark Fendrick, MD, and Jeffrey T. Kullgren, MD, MS, MPH
These key steps are ones health sector stakeholders should take to help patients and clinicians use pricing information to inform health decision making.
AMA J Ethics. 2022;24(11):E1034-1039. doi:
10.1001/amajethics.2022.1034.
Jing Li, PhD, Robert Tyler Braun, PhD, Sophia Kakarala, and Holly G. Prigerson, PhD
For dying patients and their loved ones to make informed decisions, physicians must share adequate information about prognoses, prospective benefits and harms of specific interventions, and costs.
AMA J Ethics. 2022;24(11):E1040-1048. doi:
10.1001/amajethics.2022.1040.
Dr Jing Li joins Ethics Talk to discuss her article, coauthored with Dr Robert Tyler Braun, Sophia Kakarala, and Dr Holly G. Prigerson: “How Should Cost-Informed Goals of Care Decisions Be Facilitated at Life’s End?”
Targeted dosing to treat pediatric inflammatory bowel disease is challenging because dosing guidelines are based on data gathered from adult subjects of clinical trials. Patients’ families and health care organizations also incur high costs and must try to balance potential benefits against risks of ongoing monitoring.
AMA J Ethics. 2018;20(9):E841-848. doi:
10.1001/amajethics.2018.841.
The allocation of scarce resources, such as HLA platelets, involves a conflict between the medical ethics principles of beneficence and social justice.
AMA J Ethics. 2016;18(8):764-770. doi:
10.1001/journalofethics.2016.18.8.ecas1-1608.
Deborah M. Eng, MS, MA and Scott J. Schweikart, JD, MBE
A just culture perspective suggests that punitive responses to those who err should be reserved for those who have willfully and irremediably caused harm.
AMA J Ethics. 2020;22(9):E779-783. doi:
10.1001/amajethics.2020.779.
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.