Understanding End of Life Preferences: Predicting Life Prolonging Treatment Preferences among Community Dwelling Older Americans

2020 
Abstract Purpose To determine how demographic, socioeconomic, health and psychosocial factors predict preferences to accept life prolonging treatments (LPT) at the end of life. Methods This is a retrospective cohort study of a nationally representative sample of community-dwelling older Americans (N=1,648). Acceptance of LPT was defined as wanting to receive all life prolonging treatments in the hypothetical event of severe disability or severe chronic pain at the end of life (EOL). Participants with a DPOA, living will or who discussed EOL with family were determined to have expressed their EOL preferences. The primary analysis used survey-weighted logistic regression to measure the association between older adult characteristics and acceptance of LPT. Secondarily, the associations between LPT preferences and health outcomes were measured using regression models. Results Approximately 31% of older adults would accept LPT. Non-white race/ethnicity (OR=0.54, CI (0.41,0.70), White vs. non-White), self-realization (OR=1.34, CI (1.01,1.79)), attendance of religious services (OR=1.44, CI (1.07,1.94)), and expression of preferences (OR=0.54, CI(0.40,0.72)) were associated with acceptance of LPT. LPT preferences were not independently associated with mortality or disability. Conclusions Approximately 1/3 of older Americans would accept LPT in the setting of severe disability or severe chronic pain at the end of life. Adults who discussed their EOL preferences were more likely to reject LPT. Conversely, minorities were more likely to accept LPT. Sociodemographics, physical capacity and health status were poor predictors of acceptance of LPT. A better understanding of the complexities of LPT preferences is important to ensuring patient-centered care.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    24
    References
    1
    Citations
    NaN
    KQI
    []