Mitigating Racial Bias in Health Care Algorithms: Improving Fairness in Access to Supportive Housing.

Algorithms for guiding health care decisions have come under increasing scrutiny for being unfair to certain racial and ethnic groups. The authors describe their multistep process, using data from 3,465 individuals, to reduce racial and ethnic bias in an algorithm developed to identify state Medicaid beneficiaries experiencing homelessness and chronic health needs who were eligible for coordinated health care and housing supports. Through an iterative process of adjusting inputs, reviewing outputs with diverse stakeholders, and performing quality assurance, the authors developed an algorithm that achieved racial and ethnic parity in the selection of eligible Medicaid beneficiaries.

Associations Between Inpatient Induction on Medications for Opioid Use Disorder and Postdischarge Medications for Opioid Use Disorder Adherence, Overdose, and Service Use.

Objectives: This study aimed to examine outcomes of a pilot program designed to increase inpatient medications for opioid use disorder (MOUD) induction and to support MOUD adherence after discharge.

Methods: This retrospective cohort analysis examined Medicaid adults diagnosed with opioid use disorder discharged from 2 freestanding inpatient withdrawal management facilities between October 1, 2018, and December 31, 2019. Participants had ≥90 days of continuous Medicaid enrollment before and after admission.

Helping Our Toddlers, Developing Our Children's Skills: Innovative Behavioral Management Training for Pediatric Residents.

This article describes the implementation of a behavioral management training program into pediatric and combined medicine-pediatric residencies at a large urban academic medical center in southwest Florida. We describe 2 modalities for training residents in effective behavioral modification strategies immediately useable in pediatric practice. Results indicate that residents significantly increased their knowledge of effective, evidence-based strategies and continued to use them 6 to 12 months following completion of the training.

Temporal Trends in Traumatic Brain Injury.

Aims Traumatic brain injury (TBI) is a leading cause of preventable mortality and morbidity. Our aim was to examine the demographics, injury characteristics and management of TBI patients treated in an intensive care unit (ICU) in an Irish tertiary-level hospital with a neurosurgical department. Methods A retrospective, longitudinal study of all TBI patients treated in ICU between 2013-2018.

Predictive modeling of service discontinuation in transitional age youth with recent behavioral health service use.

Objective: To develop and test predictive models of discontinuation of behavioral health service use within 12 months in transitional age youth with recent behavioral health service use.

Data Sources: Administrative claims for Medicaid beneficiaries aged 15-26 years in Connecticut.

Study Design: We compared the performance of a decision tree, random forest, and gradient boosting machine learning algorithms to logistic regression in predicting service discontinuation within 12 months among beneficiaries using behavioral health services.