Changes in predicted opioid overdose risk over time in a state Medicaid program: a group-based trajectory modeling analysis.

ABSTRACT:

Background and aims

The time lag encountered when accessing health-care data is one major barrier to implementing opioid overdose prediction measures in practice. Little is known regarding how one's opioid overdose risk changes over time. We aimed to identify longitudinal patterns of individual predicted overdose risks among Medicaid beneficiaries after initiation of opioid prescriptions.

Design, setting and participants

A retrospective cohort study in Pennsylvania, USA among Pennsylvania Medicaid beneficiaries aged 18-64 years who initiated opioid prescriptions between July 2017 and September 2018 (318 585 eligible beneficiaries (mean age = 39 ± 12 years, female = 65.7%, White = 62.2% and Black = 24.9%).

Measurements

We first applied a previously developed and valida

SUBMITTER: Guo J 

PROVIDER: S-EPMC10184496 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature