Racial/ethnic disparities in the performance of prediction models for death by suicide after mental health visits
Importance Clinical prediction models estimated with health records data may perpetuate
inequities. Objective To evaluate racial/ethnic differences in the performance of statistical …
inequities. Objective To evaluate racial/ethnic differences in the performance of statistical …
Prospective validation of an electronic health record–based, real-time suicide risk model
Importance Numerous prognostic models of suicide risk have been published, but few have
been implemented outside of integrated managed care systems. Objective To evaluate …
been implemented outside of integrated managed care systems. Objective To evaluate …
Predicting suicide attempts and suicide deaths following outpatient visits using electronic health records
GE Simon, E Johnson, JM Lawrence… - American Journal of …, 2018 - Am Psychiatric Assoc
Objective: The authors sought to develop and validate models using electronic health
records to predict suicide attempt and suicide death following an outpatient visit. Method …
records to predict suicide attempt and suicide death following an outpatient visit. Method …
Validation of an electronic health record–based suicide risk prediction modeling approach across multiple health care systems
Importance Suicide is a leading cause of mortality, with suicide-related deaths increasing in
recent years. Automated methods for individualized risk prediction have great potential to …
recent years. Automated methods for individualized risk prediction have great potential to …
Accuracy requirements for cost-effective suicide risk prediction among primary care patients in the US
Importance Several statistical models for predicting suicide risk have been developed, but
how accurate such models must be to warrant implementation in clinical practice is not …
how accurate such models must be to warrant implementation in clinical practice is not …
Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration
RC Kessler, I Hwang, CA Hoffmire… - … journal of methods …, 2017 - Wiley Online Library
Abstract Objectives The US Veterans Health Administration (VHA) has begun using
predictive modeling to identify Veterans at high suicide risk to target care. Initial analyses are …
predictive modeling to identify Veterans at high suicide risk to target care. Initial analyses are …
Suicide risk in medicare patients with schizophrenia across the life span
Importance Although adults with schizophrenia have an increased risk of suicide, sample
size limitations of previous research have hindered characterizations of suicide risk across …
size limitations of previous research have hindered characterizations of suicide risk across …
Identification of suicide attempt risk factors in a national US survey using machine learning
Importance Because more than one-third of people making nonfatal suicide attempts do not
receive mental health treatment, it is essential to extend suicide attempt risk factors beyond …
receive mental health treatment, it is essential to extend suicide attempt risk factors beyond …
Short-term suicide risk after psychiatric hospital discharge
Importance Although psychiatric inpatients are recognized to be at increased risk for suicide
immediately after hospital discharge, little is known about the extent to which their short-term …
immediately after hospital discharge, little is known about the extent to which their short-term …
Evaluation of a model to target high-risk psychiatric inpatients for an intensive postdischarge suicide prevention intervention
Importance The months after psychiatric hospital discharge are a time of high risk for suicide.
Intensive postdischarge case management, although potentially effective in suicide …
Intensive postdischarge case management, although potentially effective in suicide …