2010年至2019年以色列儿童长期用药患病率趋势：一项回顾性队列研究方案
Trends in the Prevalence of Chronic Medication Use Among Children in Israel Between 2010 and 2019: Protocol for a Retrospective Cohort Study.
作者信息
Sadaka Yair, Horwitz Dana, Wolff Leor, Sela Tomer, Meyerovitch Joseph, Peleg Assaf, Bachmat Eitan, Benis Arriel
机构信息
Neuro-Developmental Research Centre, Beer Sheva Mental Health Centre, Ministry of Health, Beer Sheva, Israel.
Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Shevs, Israel.
出版信息
JMIR Res Protoc. 2022 Aug 5;11(8):e36756. doi: 10.2196/36756.
BACKGROUND
Prescription of psychostimulants has significantly increased in most countries worldwide for both preschool and school-aged children. Understanding the trends of chronic medication use among children in different age groups and from different sociodemographic backgrounds is essential. It is essential to distinguish between selected therapy areas to help decision-makers evaluate not only the relevant expected medication costs but also the specific services related to these areas.
OBJECTIVE
This study will analyze differences in trends regarding medications considered psychobehavioral treatments and medications considered nonpsychobehavioral treatments and will identify risk factors and predictors for chronic medication use among children.
METHODS
This is a retrospective study. Data will be extracted from the Clalit Health Services data warehouse. For each year between 2010 and 2019, there are approximately 1,500,000 children aged 0-18 years. All medication classes will be identified using the Anatomical Therapeutic Chemical code. A time-trend analysis will be performed to investigate if there is a significant difference between the trends of children's psychobehavioral and nonpsychobehavioral medication prescriptions. A logistic regression combined with machine learning models will be developed to identify variables that may increase the risk for specific chronic medication types and identify children likely to get such treatment.
RESULTS
The project was funded in 2019. Data analysis is currently underway, and the results are expected to be submitted for publication in 2022. Understanding trends regarding medications considered psychobehavioral treatments and medications considered nonpsychobehavioral treatments will support the identification of risk factors and predictors for chronic medication use among children.
CONCLUSIONS
Analyzing the response of the patient (and their parents or caregivers) population over time will hopefully help improve policies for prescriptions and follow-up of chronic treatments in children.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36756.
背景
在全球大多数国家，针对学龄前和学龄儿童的精神兴奋剂处方量显著增加。了解不同年龄组以及不同社会人口背景儿童的慢性用药趋势至关重要。区分特定治疗领域不仅有助于决策者评估相关的预期用药成本，还能评估与这些领域相关的特定服务。
目的
本研究将分析被视为心理行为治疗药物和非心理行为治疗药物的用药趋势差异，并确定儿童慢性用药的风险因素和预测指标。
方法
这是一项回顾性研究。数据将从克拉利特医疗服务数据仓库中提取。2010年至2019年期间，每年约有150万0至18岁的儿童。所有药物类别将使用解剖学治疗化学代码进行识别。将进行时间趋势分析，以调查儿童心理行为和非心理行为药物处方趋势之间是否存在显著差异。将开发一种结合机器学习模型的逻辑回归，以识别可能增加特定慢性药物类型风险的变量，并识别可能接受此类治疗的儿童。
结果
该项目于2019年获得资助。目前正在进行数据分析，预计结果将于2022年提交发表。了解被视为心理行为治疗药物和非心理行为治疗药物的用药趋势将有助于确定儿童慢性用药的风险因素和预测指标。
结论
分析患者（及其父母或照顾者）群体随时间的反应有望有助于改进儿童慢性治疗的处方和随访政策。
国际注册报告识别码（IRRID）：DERR1-10.2196/36756。
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