1998
DOI: 10.7326/0003-4819-128-8-199804150-00002
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The Accuracy of Substituted Judgments in Patients with Terminal Diagnoses

Abstract: The accuracy of substituted judgments is associated with multiple clinically apparent patient and surrogate factors. This information can help clinicians identify conditions under which substituted judgments are likely to be accurate or inaccurate and can help target populations for education designed to improve the accuracy of surrogate decision making.

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Cited by 267 publications
(147 citation statements)
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“…5 Where items are structured to permit such responses, expressed preferences do vary continuously (Libbus and Russell 1995; PrincipeRodriguez et al 1999;Seckler et al 1991;Suhl et al 1994;Sulmasy et al 1998). …”
Section: Model-the Structural Equations Describing the Model Arementioning
confidence: 99%
See 1 more Smart Citation
“…5 Where items are structured to permit such responses, expressed preferences do vary continuously (Libbus and Russell 1995; PrincipeRodriguez et al 1999;Seckler et al 1991;Suhl et al 1994;Sulmasy et al 1998). …”
Section: Model-the Structural Equations Describing the Model Arementioning
confidence: 99%
“…5 Where items are structured to permit such responses, expressed preferences do vary continuously (Libbus and Russell 1995;PrincipeRodriguez et al 1999;Seckler et al 1991;Suhl et al 1994;Sulmasy et al 1998). where η 1 = surrogate preferences (latent); η 2 = spouse preferences (latent); Y PG = surrogate response for self, pain condition; Y CIG = surrogate response for self, cognitive impairment condition; Y P'S = surrogate report on spouse preference, pain condition; Y CI'S = surrogate report on spouse preference, cognitive impairment condition; Y PS = spouse response for self, pain condition; Y CIS = spouse response for self, cognitive impairment condition; the λ ij are coefficients to be estimated, and the ε i are random errors. In addition to the λ ij , the parameters of the model are the variances and covariances of the latent preferences (Ψ j ) and the variances and covariances of the errors in variables .…”
Section: Model-the Structural Equations Describing the Model Arementioning
confidence: 99%
“…But the question rising is how often it is evaluated in the clinical practice, even though it is found to be high correlated with the NYHA classification. Additionally, patients with HF and their families come to difficult dilemmas or face options regarding continuing or not therapeutic interventions, especially when they have to consider about maintaining QoL against life prolongation or survival [22].Unfortunately, during the end of stage time, often patients' preferences are neglected or misperceived; supportive evidence from ESCAPE study has shown that there are patients who prefer to trade almost all survival in order to have better perceived health [23][24][25]. Therefore, health professionals caring for HF patients and especially those with progressed HF, need an understanding and knowledge of factors that may help them identify patients for whom extension of life is not the priority [26].…”
Section: Socio-economic Challengesmentioning
confidence: 99%
“…Clinicians may realize how family preferences influence decisions made for family members and argue, at least among themselves, that families are incapable of speaking objectively for their loved ones or representing their best interests. To date, studies (16,17) of substituted judgment among the families of terminally ill patients in the United States have shown that family decisions are reasonably concordant with what patients want, particularly if the two parties have discussed end-of-life issues beforehand. Physicians have been no better than family members in predicting patient choices in these investigations.…”
Section: Prognostic Factorsmentioning
confidence: 99%