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 leveraging summary statistics from the population. The findings are verified empirically via simulation. We have established the asymptotic properties of the inference procedures. The contributions of this paper are twofold. We present innovative strategies for processing doubly-censored recurrent event data, and overcoming the truncation induced by the data collection. In addition, through exploring the pediatric MHED visit records, we provide new insights into children/youths mental health changes over time.

翻译：本研究旨在开发一种工具，通过分析近二十年来18岁以下青少年心理健康相关急诊（MHED）就诊的行政记录，理解其心理健康状况随时间演变的规律。行政健康数据通常包含研究公共卫生问题的丰富信息，但其使用受到诸多限制与法规约束。此外，由于行政数据库的建立与维护主要服务于非研究目的，且仅能获取寻求医疗服务者的信息，这类数据通常不符合传统研究数据格式。因此，行政健康数据的分析普遍面临挑战。在MHED数据分析中，我们特别关注：（1）利用双删失复发事件数据评估动态模式及其影响；（2）通过整合人口汇总统计量，对基于截断数据开发的估计量进行重新校准。研究结果通过模拟实验得到实证验证，并已建立推断过程的渐近性质。本文的贡献主要体现在两方面：提出了处理双删失复发事件数据及克服数据收集所致截断的创新策略；同时，通过探究儿科MHED就诊记录，为理解儿童/青少年心理健康随时间变化提供了新的见解。