We have located links that may give you full text access.
Technology alone does not achieve error reduction - a study of handwritten, tick-sheet, ink stamp and electronic medical prescriptions.
BACKGROUND: Technology in the form of electronic record systems and prescriptions have been touted as a potential solution to human error. In South Africa, a middle-income country where health facilities have large variations in technological capacity, prescription errors can be complex and varied. We evaluated different prescribing methods to find if the increased use of technology in prescriptions will assist in reducing error rates.
METHODS: A retrospective, non-randomised study compared prescriptions, error rates and types in four hospitals with different prescribing methods: these were handwritten, ink stamp, tick-sheet and electronic prescriptions. A modern human error theory data collection tool was designed which included patient complexity. Cataract surgery was chosen as the single common procedure.
RESULTS: One thousand six hundred and sixty-one individual scripts had 1 307 prescription errors. Increasing patient complexity was not an indicator of error rate. Handwritten and tick-sheet prescriptions had the fewest errors (49% and 51%, respectively). Electronic (96%) and ink stamp scripts (101%) had almost twice as many errors as handwritten scripts ( p < 0.001) mainly due to systemic inbuilt errors.
CONCLUSION: The application of increasing degrees of technological complexity does not automatically reduce error rate. This is especially apparent when technology is not integrated into human factors engineering and persistent critical assessment.
METHODS: A retrospective, non-randomised study compared prescriptions, error rates and types in four hospitals with different prescribing methods: these were handwritten, ink stamp, tick-sheet and electronic prescriptions. A modern human error theory data collection tool was designed which included patient complexity. Cataract surgery was chosen as the single common procedure.
RESULTS: One thousand six hundred and sixty-one individual scripts had 1 307 prescription errors. Increasing patient complexity was not an indicator of error rate. Handwritten and tick-sheet prescriptions had the fewest errors (49% and 51%, respectively). Electronic (96%) and ink stamp scripts (101%) had almost twice as many errors as handwritten scripts ( p < 0.001) mainly due to systemic inbuilt errors.
CONCLUSION: The application of increasing degrees of technological complexity does not automatically reduce error rate. This is especially apparent when technology is not integrated into human factors engineering and persistent critical assessment.
Full text links
Related Resources
Trending Papers
Challenges in Septic Shock: From New Hemodynamics to Blood Purification Therapies.Journal of Personalized Medicine 2024 Februrary 4
Molecular Targets of Novel Therapeutics for Diabetic Kidney Disease: A New Era of Nephroprotection.International Journal of Molecular Sciences 2024 April 4
The 'Ten Commandments' for the 2023 European Society of Cardiology guidelines for the management of endocarditis.European Heart Journal 2024 April 18
A Guide to the Use of Vasopressors and Inotropes for Patients in Shock.Journal of Intensive Care Medicine 2024 April 14
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app