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Published on: November 9, 2016
Interventions to reduce pediatric medication errors: a systematic review
Michael L Rinke1, David G Bundy2, Christina A Velasquez3
1Department of Pediatrics, Children's Hospital at Montefiore, Bronx, New York; mrinke@montefiore.org.
Insights
Pediatric medication errors can be reduced with interventions like computerized provider order entry and preprinted order sheets. Further research is needed to identify optimal strategies and address knowledge gaps in error reduction.
Area of Science:
- Pediatric patient safety
- Health informatics
- Clinical pharmacology
Background:
- Medication errors in children lead to significant morbidity and mortality.
- Existing literature on interventions to reduce pediatric medication errors has gaps.
- A comprehensive review and meta-analysis were needed to assess intervention effectiveness.
Purpose of the Study:
- To evaluate the effectiveness of interventions aimed at reducing medication errors in children.
- To identify gaps in the current research landscape.
- To conduct meta-analyses on comparable studies to quantify intervention impact.
Main Methods:
- Systematic literature searches were conducted across multiple databases (PubMed, Embase, Scopus, Web of Science, Cochrane Library, CINAHL).
- Inclusion criteria focused on peer-reviewed original studies evaluating interventions for pediatric medication errors.
- Two independent authors reviewed abstracts and full-text articles, with sequential data extraction.
Main Results:
- Out of 274 full-text articles reviewed, 63 were included in the analysis.
- Significant research gaps were identified, with limited studies in community hospitals, ambulatory settings, and on dispensing errors or cost-effectiveness.
- Computerized provider order entry (CPOE) with clinical decision support showed a 36%-87% reduction in prescribing errors; preprinted order sheets showed a 27%-82% reduction.
Conclusions:
- Interventions can effectively reduce pediatric medication errors.
- Optimal intervention strategies require further investigation.
- Future research should prioritize understudied areas, standardize definitions and outcomes, and assess cost-effectiveness.
Background And Objective:
Medication errors cause appreciable morbidity and mortality in children. The objective was to determine the effectiveness of interventions to reduce pediatric medication errors, identify gaps in the literature, and perform meta-analyses on comparable studies.
Methods:
Relevant studies were identified from searches of PubMed, Embase, Scopus, Web of Science, the Cochrane Library, and the Cumulative Index to Nursing Allied Health Literature and previous systematic reviews. Inclusion criteria were peer-reviewed original data in any language testing an intervention to reduce medication errors in children. Abstract and full-text article review were conducted by 2 independent authors with sequential data extraction.
Results:
A total of 274 full-text articles were reviewed and 63 were included. Only 1% of studies were conducted at community hospitals, 11% were conducted in ambulatory populations, 10% reported preventable adverse drug events, 10% examined administering errors, 3% examined dispensing errors, and none reported cost-effectiveness data, suggesting persistent research gaps. Variation existed in the methods, definitions, outcomes, and rate denominators for all studies; and many showed an appreciable risk of bias. Although 26 studies (41%) involved computerized provider order entry, a meta-analysis was not performed because of methodologic heterogeneity. Studies of computerized provider order entry with clinical decision support compared with studies without clinical decision support reported a 36% to 87% reduction in prescribing errors; studies of preprinted order sheets revealed a 27% to 82% reduction in prescribing errors.
Conclusions:
Pediatric medication errors can be reduced, although our understanding of optimal interventions remains hampered. Research should focus on understudied areas, use standardized definitions and outcomes, and evaluate cost-effectiveness.
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