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

ABSTRACT:

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.

Data extraction

We identified 33,532 transitional age youth with ≥1 claim for a primary behavioral health diagnosis in 2016 and Medicaid enrollment of ≥11 months in 2016 and ≥11 months in 2017.

Principal findings

Classificati

SUBMITTER: Bory C 

PROVIDER: S-EPMC8763280 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature