Prevalence of potentially inappropriate prescriptions identified using screening tools in paediatric patients: a systematic review.

Abstract

Objectives: Inappropriate prescriptions are known to cause medication-related problems, but little is known about the prevalence of this issue in paediatric patients. This systematic review provides an overview of the prevalence of potentially inappropriate prescriptions identified through tools developed for the paediatric population and delineates the strengths and limitations of the identification tools.

Methods: Literature from PubMed, CINAHL, Cochrane database and Google Scholar was searched with a combination of medical subject headings (MeSH) and free-text terms related to inappropriate prescriptions, paediatrics and potentially inappropriate prescription tools. Studies reported in English and published from inception of the databases until May 2023 were selected based on fulfilment of eligibility criteria. All eligible articles were assessed for methodological quality and examined using thematic analysis.

Results: Twelve studies met the inclusion criteria. The majority of the studies were of high quality. Four themes emerged-namely, evaluation tools and calculation methods of inappropriate prescriptions, prevalence of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), and predictors of PIM and PPO in children. Among the nine tools identified, the original and modified version of the POPI tool was most commonly used. The prevalence of PIM and PPO ranged from 0.04% to 69% and from 1.5% to 55.9%, respectively. Age was the most common predictor reported, whereby PIMs and PPOs were more likely in children aged 2-6 and 6-12 years, respectively.

Conclusions: Potentially inappropriate prescriptions in paediatric patients is highly prevalent, despite the wide variation in the reported prevalence range and limited implementation of the available tools in practice. Future efforts need to be focused on the development and implementation of age-, disease- or country-specific tools to effectively evaluate and further determine the economic impact of PIMs in children.