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.