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Trends in the Prevalence of Chronic Medication Use Among Children in Israel Between 2010 and 2019: Protocol for a

Yair Sadaka1,2, Dana Horwitz1, Leor Wolff3

  • 1Neuro-Developmental Research Centre, Beer Sheva Mental Health Centre, Ministry of Health, Beer Sheva, Israel.

JMIR Research Protocols
|July 1, 2022
PubMed

Insights

This study analyzes trends in psychobehavioral and non-psychobehavioral medication use in children, identifying risk factors for chronic treatment. Findings aim to improve pediatric prescription policies and chronic care management.

Area of Science:

  • Pediatric pharmacology
  • Health services research
  • Biostatistics

Background:

  • Global increase in psychostimulant prescriptions for children.
  • Need to understand chronic medication use trends across pediatric age groups and sociodemographic factors.
  • Importance of differentiating therapy areas for cost and service evaluation.

Purpose of the Study:

  • Analyze trends in psychobehavioral vs. non-psychobehavioral medication prescriptions in children.
  • Identify risk factors and predictors for chronic medication use in pediatric populations.

Main Methods:

  • Retrospective study using Clalit Health Services data (2010-2019, ~1.5 million children aged 0-18).
  • Anatomical Therapeutic Chemical (ATC) codes for medication identification.
  • Time-trend analysis comparing psychobehavioral and non-psychobehavioral medication prescription trends.
  • Logistic regression and machine learning to identify risk variables and predict chronic treatment.

Main Results:

  • Data analysis is ongoing; results submission expected in 2022.
  • Study aims to elucidate trends in pediatric psychobehavioral and non-psychobehavioral medication use.
  • Expected to identify key risk factors and predictors for chronic medication use in children.

Conclusions:

  • Analysis of patient population response over time can inform prescription and follow-up policies.
  • Potential to improve management of chronic treatments for children.
  • Aims to enhance decision-making for healthcare providers and policymakers regarding pediatric medication.
Abstract

Keywords:
ADHD, Israelattention deficit hyperactivity disordercentral nervous system stimulantschildrenchronic diseasedata miningdrug prescriptionselectronic medical recordsepidemiologymachine learningmedication therapy managementmental healthpediatricspsychotropic drugs

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