Surrogate Preferences on the Physician Orders for Life-Sustaining Treatment Form

被引:3
作者
Chen, Elizabeth E. [1 ]
Pu, Charles T. [2 ]
Bernacki, Rachelle E. [3 ]
Ragland, Julia [4 ]
Schwartz, Jonathon H. [5 ]
Mutchler, Jan E. [6 ]
机构
[1] Univ Massachusetts Boston, Inst Gerontol, Boston, MA 02125 USA
[2] Partners HealthCare, Boston, MA USA
[3] Dana Farber Canc Inst, Psychosocial Oncol & Palliat Care, Boston, MA 02115 USA
[4] Newton Wellesley Hosp, Newton, MA USA
[5] Spaulding Hosp Continuing Care, Cambridge, MA USA
[6] Univ Massachusetts Boston, Gerontol Dept & Inst, Boston, MA USA
关键词
End-of-life care; Palliative care; Advance care planning; QUALITY-OF-LIFE; NURSING-HOME RESIDENTS; DECISION-MAKING; SUBSTITUTED JUDGMENT; SURPRISE QUESTION; ADVANCE DIRECTIVES; COMORBIDITY INDEX; TREATMENT PROGRAM; DIALYSIS PATIENTS; RISK-ADJUSTMENT;
D O I
10.1093/geront/gny042
中图分类号
R4 [临床医学]; R592 [老年病学];
学科分类号
1002 ; 100203 ; 100602 ;
摘要
Background and Objectives: The purpose of this study is to compare treatment preferences of patients to those of surrogates on the Physician Orders for Life-Sustaining Treatment (POLST) forms. Research Design and Methods: Data were collected from a sequential selection of 606 Massachusetts POLST (MOLST) forms at 3 hospitals, and corresponding electronic patient health records. Selections on the MOLST forms were categorized into All versus Limit Life-Sustaining Treatment. Multivariable mixed effects (grouped by clinician) logistic regression models estimated the impact of using a surrogate decision maker on choosing All Treatment, controlling for patient characteristics (age, severity of illness, sex, race/ethnicity), clinician (physician vs non-physician), and hospital (site). Results: Surrogates signed 253 of the MOLSTs (43%). A multivariable logistic regression model taking into consideration patient, clinician, and site variables showed that surrogate decision makers were 60% less likely to choose All Treatment than patients who made their own decisions (odds ratio = 0.39 [95% confidence interval = 0.24-0.65]; p <.001). This model explained 44% of the variation in the dependent variable (Pseudo-R-2 = 0.442; p <.001); mixed effects logistic regression grouped by clinician showed no difference between the models (LR test = 4.0e-13; p = 1.00). Discussion and Implications: Our study took into consideration variation at the patient, clinician, and site level, and showed that surrogates had a propensity to limit life-sustaining treatment. Surrogate decision makers are frequently needed for hospitalized patients, and nearly all states have adopted the POLST. Researchers may want study decision-making processes for patients versus surrogates when the POLST paradigm is employed.
引用
收藏
页码:811 / 821
页数:11
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