Over the last century, developments in new medical treatments have led to an exponential increase in longevity, but, as a consequence, patients may be left with chronic illness associated with long-term severe functional and cognitive disability. Patients and their families are often forced to make a difficult and complex choice between death and long-term debility, neither of which is an acceptable outcome. Traditional models of medical decision making, however, do not fully address how clinicians should best assist with these decisions. Herein, we present a new paradigm that demonstrates how the role of the physician changes over time in response to the curved relationship between the predictability of a patient's outcome and the chance of returning to an acceptable quality of life. To translate this model into clinical practice, we propose a 5-step model for physicians with which they can (1) determine at which point the patient is on our model; (2) identify the cognitive factors and preferences for outcomes that affect the decision-making process of the patient and his or her family; (3) reflect on their own reaction to the decision at hand; (4) acknowledge how these factors can be addressed in conversation; and (5) guide the patient and his or her family in creating a plan of care. This model can help improve patient-physician communication and decision making so that complex and difficult decisions can be turned into ones that yield to medical expertise, good communication, and personal caring.
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Conceptual model of the relationship between the ability to accurately predict outcome and the diminishing chance of returning to an acceptable quality of life. As illness progresses, the role of the physician changes across the entire continuum, but for the sake of clarity only 3 points are shown.
Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature
Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal
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