Exploring Differences between Two Decades of Mental Health Related Emergency Department Visits by Youth via Recurrent Events Analyses
Yi Xiong, Joan Hu, Rhonda Rosychuk

TL;DR
This paper develops new statistical methods to analyze two decades of youth mental health emergency visits, revealing evolving patterns and providing insights into mental health trends among children and adolescents.
Contribution
It introduces innovative strategies for analyzing doubly-censored recurrent event data and addresses data truncation issues in administrative health records.
Findings
Identified significant changes in youth mental health emergency visits over two decades.
Validated the proposed methods through simulation studies.
Provided new insights into mental health trends among children and adolescents.
Abstract
We aim to develop a tool for understanding how the mental health of youth aged less than 18 years evolve over time through administrative records of mental health related emergency department (MHED) visits in two decades. Administrative health data usually contain rich information for investigating public health issues; however, many restrictions and regulations apply to their use. Moreover, the data are usually not in a conventional format since administrative databases are created and maintained to serve non-research purposes and only information for people who seek health services is accessible. Analysis of administrative health data is thus challenging in general. In the MHED data analyses, we are particularly concerned with (i) evaluating dynamic patterns and impacts with doubly-censored recurrent event data, and (ii) re-calibrating estimators developed based on truncated data by…
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Taxonomy
TopicsHomelessness and Social Issues
