OBJECTIVE: To determine the extent to which older or seriously ill inpatients would prefer to have their family and physician make resuscitation decisions for them rather than having their own stated preferences followed if they were unable to decide themselves. DESIGN: Analysis of existing data from the Hospitalized Elderly Longitudinal Project (HELP) and the Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment (SUPPORT). SETTING: Five teaching hospitals in the United States. PARTICIPANTS: 2203 seriously ill adult inpatients (SUPPORT) and 1226 older inpatients (HELP) who expressed preferences about resuscitation and about advance decision-making. MEASURES: We used a logistic regression model to determine which factors predicted preferences for family and physician decision-making. RESULTS: Of the 513 HELP patients in this analysis, 363 (70.8%) would prefer to have their family and physician make resuscitation decisions for them whereas 29.2% would prefer to have their own stated preferences followed if they were to lose decision-making capacity. Of the 646 SUPPORT patients, 504 (78.0%) would prefer to have their family and physician decide and 22.0% would prefer to have their advance preferences followed. Independent predictors of preference for family and physician decision-making included not wanting to be resuscitated and having a surrogate decision-maker. CONCLUSIONS: Most inpatients who are older or have serious illnesses would not want their stated resuscitation preferences followed if they were to lose decision-making capacity. Most patients in both groups would prefer that their family and physician make resuscitation decisions for them. These results underscore the need to understand resuscitation preferences within a broader context of patient values.
OBJECTIVE: To determine the extent to which older or seriously ill inpatients would prefer to have their family and physician make resuscitation decisions for them rather than having their own stated preferences followed if they were unable to decide themselves. DESIGN: Analysis of existing data from the Hospitalized Elderly Longitudinal Project (HELP) and the Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment (SUPPORT). SETTING: Five teaching hospitals in the United States. PARTICIPANTS: 2203 seriously ill adult inpatients (SUPPORT) and 1226 older inpatients (HELP) who expressed preferences about resuscitation and about advance decision-making. MEASURES: We used a logistic regression model to determine which factors predicted preferences for family and physician decision-making. RESULTS: Of the 513 HELP patients in this analysis, 363 (70.8%) would prefer to have their family and physician make resuscitation decisions for them whereas 29.2% would prefer to have their own stated preferences followed if they were to lose decision-making capacity. Of the 646 SUPPORT patients, 504 (78.0%) would prefer to have their family and physician decide and 22.0% would prefer to have their advance preferences followed. Independent predictors of preference for family and physician decision-making included not wanting to be resuscitated and having a surrogate decision-maker. CONCLUSIONS: Most inpatients who are older or have serious illnesses would not want their stated resuscitation preferences followed if they were to lose decision-making capacity. Most patients in both groups would prefer that their family and physician make resuscitation decisions for them. These results underscore the need to understand resuscitation preferences within a broader context of patient values.
Entities:
Keywords:
Death and Euthanasia; Empirical Approach; Hospitalized Elderly Longitudinal Project (HELP); Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments (SUPPORT)
Authors: Elizabeth K Vig; Helene Starks; Janelle S Taylor; Elizabeth K Hopley; Kelly Fryer-Edwards Journal: J Gen Intern Med Date: 2010-06-10 Impact factor: 5.128
Authors: Robert Y Lee; Lyndia C Brumback; Seelwan Sathitratanacheewin; William B Lober; Matthew E Modes; Ylinne T Lynch; Corey I Ambrose; James Sibley; Kelly C Vranas; Donald R Sullivan; Ruth A Engelberg; J Randall Curtis; Erin K Kross Journal: JAMA Date: 2020-03-10 Impact factor: 56.272
Authors: Christopher Frank; Daren K Heyland; Benjamin Chen; Donald Farquhar; Kathryn Myers; Ken Iwaasa Journal: CMAJ Date: 2003-10-14 Impact factor: 8.262