End-of-Life Medical Decisions: The Link Between Sociodemographic Characteristics and Treatment Preferences

Author:

Shayya Ashley1ORCID,Young Yuchi1ORCID

Affiliation:

1. Department of Health Policy, Management, and Behavior, School of Public Health, State University of New York at Albany, Rensselaer, NY, USA

Abstract

Introduction Advance directives (ADs) promote patient autonomy in end-of-life (EOL) care, including an individual’s EOL medical treatment preferences. This study aims to better understand preferences regarding EOL medical treatment among community-dwelling adults (18 and older) residing in the United States and examine the association between sociodemographic characteristics and EOL medical treatment preferences. Methods Utilizing a cross-sectional study and snowball sampling methodology, community-dwelling adults completed a survey containing two different ADs and a questionnaire with sociodemographic information. Univariate analyses were used to summarize EOL medical treatment preferences among the sample, and bivariate analyses (Chi-square and Fisher’s Exact tests) were performed to examine the association between sociodemographic characteristics (age, gender, and race/ethnicity) and EOL medical treatment preferences. Results The mean age of the 166 participants was 50 (SD: 21.65, range: 18-93), with 58.4% being White and 61.4% being female. Generally, when EOL scenarios involved brain damage or a coma, more participants indicated that they did not want life-support treatment. Age and race were both associated with EOL medical treatment preferences, but no significant differences were observed in the bivariate results by gender. Largely, young and middle-aged adults, along with Black participants, were more likely to prefer more aggressive EOL medical treatments than older adults and White participants. Conclusion Overall, EOL medical treatment preferences varied among participants. The study findings indicate that adults develop different preferences for EOL medical treatment, with some of the variation attributable to sociodemographic characteristics such as age and race.

Publisher

SAGE Publications

Subject

General Medicine

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