High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning.

We present an ensemble transfer learning method to predict suicide from Veterans Affairs (VA) electronic medical records (EMR). A diverse set of base models was trained to predict a binary outcome constructed from reported suicide, suicide attempt, and overdose diagnoses with varying choices of study design and prediction methodology. Each model used twenty cross-sectional and 190 longitudinal variables observed in eight time intervals covering 7.5 years prior to the time of prediction. Ensembles of seven base models were created and fine-tuned with ten variables expected to change with study design and outcome definition in order to predict suicide and combined outcome in a prospective cohort. The ensemble models achieved c-statistics of 0.73 on 2-year suicide risk and 0.83 on the combined outcome when predicting on a prospective cohort of [Formula: see text] 4.2 M veterans. The ensembles rely on nonlinear base models trained using a matched retrospective nested case-control (Rcc) study cohort and show good calibration across a diversity of subgroups, including risk strata, age, sex, race, and level of healthcare utilization. In addition, a linear Rcc base model provided a rich set of biological predictors, including indicators of suicide, substance use disorder, mental health diagnoses and treatments, hypoxia and vascular damage, and demographics.

Describing the evidence linking interprofessional education interventions to improving the delivery of safe and effective patient care: a scoping review.

Empirical evidence indicates that collaborative interprofessional practice leads to positive health outcomes. Further, there is an abundance of evidence examining student and/or faculty perceptions of learning or satisfaction about the interprofessional education (IPE) learning experience. However, there is a dearth of research linking IPE interventions to patient outcomes. The objective of this scoping review was to describe and summarize the evidence linking IPE interventions to the delivery of effective patient care. A three-step search strategy was utilized for this review with articles that met the following criteria: publications dated 2015-2020 using qualitative, quantitative or mixed methods; the inclusion of healthcare professionals, students, or practitioners who had experienced IPE or training that included at least two collaborators within coursework or other professional education; and at least one of ten Centers for Medicare & Medicaid Services quality measures (length of stay, medication errors, medical errors, patient satisfaction scores, medication adherence, patient and caregiver education, hospice usage, mortality, infection rates, and readmission rates). Overall, n=94 articles were identified, providing overwhelming evidence supporting a positive relationship between IPE interventions and several key quality health measures including length of stay, medical errors, patient satisfaction, patient or caregiver education, and mortality. Findings from this scoping review suggest a critical need for the development, implementation, and evaluation of IPE interventions to improve patient outcomes.