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Developing consensus on hospital prescribing indicators of potential harm for infants and children
Andy Fox1, Sarah Pontefract2, David Brown3
1Southampton Pharmacy Research Centre, University Hospitals Southampton, Southampton, Hampshire,, SO16 6YD.
Insights
A list of 41 hospital-based pediatric prescribing indicators was developed to assess electronic prescribing and clinical decision support tools. These indicators identify potential harm from medication errors in children.
Area of Science:
- Pediatric pharmacology
- Health informatics
- Patient safety
Background:
- Paediatric prescribing errors pose a significant risk to patient safety.
- Existing methods for evaluating prescribing practices in hospitals require standardized indicators.
Purpose of the Study:
- To develop a comprehensive list of hospital-based paediatric prescribing indicators.
- To create a tool for assessing the impact of electronic prescribing and clinical decision support systems on paediatric prescribing errors.
Main Methods:
- An electronic Delphi (eDelphi) consensus method was employed with 21 UK-based expert panellists.
- Indicators were scored for likelihood of occurrence and severity of outcome, with consensus defined as 80% agreement.
- Indicators with high-risk ratings and consensus were included in the final list.
Main Results:
- A total of 41 paediatric prescribing indicators were identified with high risk and over 80% consensus.
- The most frequent error type was incorrect dosage (19 indicators).
- Antimicrobials (10 indicators) and cardiovascular drugs (7 indicators) were the most common drug classes involved.
Conclusions:
- A validated set of 41 paediatric prescribing indicators for hospital settings has been established.
- These indicators offer a standardized approach to evaluating prescribing data from both paper and electronic systems.
- The indicators can be utilized to assess the effectiveness of clinical decision support systems and quality improvement initiatives.
Aims:
The aim of the study was to develop a list of hospital based paediatric prescribing indicators that can be used to assess the impact of electronic prescribing or clinical decision support tools on paediatric prescribing errors.
Methods:
Two rounds of an electronic consensus method (eDelphi) were carried out with 21 expert panellists from the UK. Panellists were asked to score each prescribing indicator for its likelihood of occurrence and severity of outcome should the error occur. The scores were combined to produce a risk score and a median score for each indicator calculated. The degree of consensus between panellists was defined as the proportion that gave a risk score in the same category as the median. Indicators were included if a consensus of 80% or higher was achieved and were in the high risk categories.
Results:
Each of the 21 panellists completed an exploratory round and two rounds of scoring. This identified 41 paediatric prescribing indicators with a high risk rating and greater than 80% consensus. The most common error type within the indicators was wrong dose (n = 19) and the most common drug classes were antimicrobials (n = 10) and cardiovascular (n = 7).
Conclusions:
A set of 41 paediatric prescribing indicators describing potential harm for the hospital setting has been identified by an expert panel. The indicators provide a standardized method of evaluation of prescribing data on both paper and electronic systems. They can also be used to assess implementation of clinical decision support systems or other quality improvement initiatives.
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