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Background: A poor prognosis is an important trigger for advance care planning (ACP) conversations, but clinicians often overestimate prognosis.
Objective: To determine whether ACP note documentation increases by notifying inpatient physicians that a patient is at high risk of mortality.
Methods: A pragmatic cluster randomized trial at an academic medical center from September 2021 to December 2022 randomized attending physicians on the inpatient medicine team. An email and page notification was sent to physicians randomized to intervention group for admitted patients at high risk of 30-day and 6-month death based on a machine learning model. The notification recommended to have and document an ACP conversation in the electronic health record (EHR). The primary outcome was documentation of an ACP conversation during hospital admission by the randomized physician. The secondary outcome was ACP note documented by any clinician during the hospital admission. Healthcare utilization outcomes included length of stay and discharge to hospice.
Results: Seventy randomized physicians (35 in each group) cared for 314 unique patients (138 control and 176 intervention) at high risk of mortality. Patients of physicians randomized to the intervention group were more likely to have a documented ACP conversation by the randomized physician compared to the control group (34.7% vs. 19.6%; OR 2.04; 95%CI 1.16 to 3.59). There was no significant change in ACP documentation by any clinician (52.8% intervention vs 42.8% control group, OR 1.31; 95% CI 0.81 to 2.13).
Conclusions: Machine learning mortality model notifications can motivate physicians to document ACP conversations during a hospitalization.
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http://dx.doi.org/10.1016/j.jpainsymman.2025.08.013 | DOI Listing |
J Med Screen
September 2025
Institute of Cardiovascular Science, University College London, London, UK.
It is claimed that polygenic risk scores will transform disease prevention, but a typical polygenic risk score for a common disease only detects 11% of affected individuals at a 5% false positive rate. This level of screening performance is not useful. Claims to the contrary are either due to incorrect interpretation of the data or other influences.
View Article and Find Full Text PDFJAMA Cardiol
September 2025
Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
J Alzheimers Dis
September 2025
Department of Community Health and Health Behavior, University at Buffalo, Buffalo, NY, USA.
BackgroundFear of developing Alzheimer's disease and other dementias could motivate defensive responses to dementia information, including public health messaging, and reduce willingness to undergo screening or diagnostic testing for the disease.ObjectiveWe sought to assess the pervasiveness of dementia information avoidance and test whether it is associated with lower willingness to be screened for dementia. We also tested whether lower generalized self-efficacy is associated with higher dementia information avoidance, as the former might be a point of intervention for decreasing defensive information avoidance.
View Article and Find Full Text PDFJAMA Cardiol
September 2025
Department of Neurology, Montefiore-Einstein Medical Center, Bronx, New York.