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Investigation of correlation between house-staff work hours and prescribing errors
Liya Davydov1, Gina Caliendo, Bernard Mehl
1Mount Sinai Medical Center (MSMC), New York, NY, USA. liyad5@aol.com
Summary
This study found no link between hospital house staff work hours and prescribing errors. Resident work duration did not impact the frequency or severity of medication errors.
Area of Science:
- Medical error analysis
- Healthcare quality improvement
- Internal medicine residency
Background:
- Prescribing errors pose a significant risk to patient safety in hospital settings.
- Understanding factors influencing prescribing errors, such as resident work hours, is crucial for developing effective interventions.
Purpose of the Study:
- To investigate the correlation between the number of hours worked by hospital house staff during a 24-hour shift and the frequency and significance of prescribing errors.
- To determine if extended work hours contribute to an increased likelihood or severity of prescribing mistakes.
Main Methods:
- A prospective observational study was conducted in internal medicine units at an academic medical center.
- Prescribing errors in orders written by medical house staff were collected and evaluated for type, significance, and the resident's work hours at the time of the error.
- Data were collected over a defined period (January 8 to March 10, 2001).
Main Results:
- A total of 45,366 orders were reviewed, identifying 498 erroneous prescribing orders.
- A significant majority (77%) of identified errors had the potential to cause substantial patient harm (morbidity or mortality).
- The most frequent errors included incorrect dosage (18%), wrong dosage frequency (15%), and duplicate orders (15%).
- No statistically significant correlation was found between the number of hours worked and the frequency or significance of prescribing errors.
Conclusions:
- The duration of work hours for medical house staff during a 24-hour shift did not demonstrate a significant impact on the occurrence or severity of prescribing errors.
- Findings suggest that factors other than work hours may be more influential in contributing to prescribing errors in this population.