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Prescribing Audit on Hope Hospital Intensive Care Unit

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Title: Prescribing Audit on Hope Hospital Intensive Care Unit


1
Prescribing Audit on Hope Hospital Intensive Care
Unit
  • February April 2006
  • Dr A.Day, Dr S. Laha, Dr T.Thomas

2
Introduction
  • In the UK, awareness of adverse incidents in
    health care is growing.
  • May be gt10 in UK hospitals.
  • The actual scale of the problem is unknown1.
  • Drug prescription errors are a common cause.

1. Vincent C, Neale G, Woloshynowych M. Adverse
events in British hospitals preliminary
retrospective record review. BMJ 2001 322517-9
3
Introduction
  • In the UK, potentially serious errors occur
    between 1 in 1 000 and 1 in 10 000
    prescriptions2.
  • Complex and urgent treatment and prolonged
    hospital stay are associated with more errors3.
  • Anonymous. Report maps road to medication
    safety. CMO Update 2004381-3
  • Bates DW, CullenDJ, Laird N, et al. Incidence of
    adverse drug events and potential adverse events
    implications for prevention. Journal of the
    American Medical Associaton 1995274 29-34

4
Introduction
  • A recent paper collaborated results from 24
    critical care units in the UK4
  • 15 prescriptions had one or more errors
  • Most errors were minor
  • But, 19.6 errors were significant, serious or
    life threatening.
  • Ridley SA, Booth SA, Thompson CM and the
    Intensive Care Societys Working Group on Adverse
    Incidents. Prescription errors in UK Critical
    Care units

5
Aim
  • To collect data about prescription errors in Hope
    Intensive Care Unit
  • To evaluate the error rate and make changes to
    improve prescribing practice.
  • To provide feedback to individual doctors.

6
Method
Five Day Audit
Two Hour Teaching Session
1 week later
Five day Audit
4 weeks later
Five day Audit
7
Method
Collect signatures and assign each doctor a number
Daily review of all prescriptions
No
ERROR?
Record
Yes
Classify nature of error5
Classify clinical impact of error
Minor No obvious harm
Serious Significant reduction in probability of
Tx being timely or effective
Significant Slight adverse affect E.g G.I upset,
rash
Potentially Life Threatening Increased risk of
harm to patient
8
Method
  • All data was entered onto a database.
  • Prescriptions for intravenous and haemofiltration
    fluids, enteral and parenteral feeds and blood
    products were excluded.

5. Greater Manchester Critical Care Network.
Categories of Error. Clinical Audit of
prescription errors. Feb 2004
9
Results
  • Total 56 patients.
  • Over the three week period, 1 403 new
    prescriptions (approx. 25 new prescriptions per
    patient) were written.

10
Comparison of Error Free and Erroneous
Prescriptions
78
22
Error Free
Erroneous
11
Errors Per Prescription
11.3
4.7
0.7
Single Error
Two Errors
Three Errors
12
Distribution of Errors
Illegible
Ambigous
Abbrevitations
Transcription
13
Results
  • The five most common incorrect prescriptions were
    for propofol (6.0), alfentanil (5.5),
    salbultamol (4.6), vancomycin (4.2), potassium
    chloride (4.2)
  • Four categories with the highest error rate (non
    standard nomenclature, illegible, ambiguous,
    transcription) accounted for 65 of all errors!

14
Comparison of Correct and Incorrect Prescriptions
Per Doctor
Correct
Incorrect
U
Doctor Identification
15
Percentage Error for Each Doctor
1
U
Doctor Identification Number
16
  • 63 of unidentifiable prescriptions were
    incorrect prescriptions.

17
Distribution of Potential Consequences
Minor
Significant
Serious
Life Threatening
18
Results
  • 18 prescriptions (1.2 of new prescriptions
    written) were considered significant, serious or
    potentially life threatening.
  • This gives a rate of potentially clinically
    important prescription errors as 5 per 400 new
    prescriptions.
  • Majority of non-minor errors were prescriptions
    inappropriate for the patient
  • E.g wrong drug, wrong dose or omission of drug.

19
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20
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21
Doctors Responsible for Significant, Serious and
Life Threatening Errors
2
3
4
5
6
7
10
11
12
16
U
Doctor Identification Number
22
Discussion
  • What is it about unidentifiable prescriptions
    that leads to higher error rates?
  • Rushed decisions?
  • Prescribing at night?
  • Information not readily available?
  • Reluctance to be identified?

23
Discussion
  • The groups of drugs associated with the largest
    number of prescription errors may simply reflect
    a larger number of prescriptions for those drugs.

24
DISCUSSION
  • Hand-written prescriptions are frequently
    illegible, incomplete or subject to transcription
    errors.
  • Improvements could therefore be achieved by
    reinforcing the importance of proper prescription
    writing.
  • However adverse events are commonly caused by
    prescribing errors and include wrong choice of
    drug, dose, route, formulation or time of
    administration, unfamiliar drugs/preparations
  • Improvements could be made by more immediate
    access to relevant information relating to the
    drug (i.e indications, contraindications,
    interactions, therapeutic dose or side effects)
    or the patient (allergies, co-morbidities, recent
    laboratory results).

25
DISCUSSION
  • Improvements
  • Education and Information
  • Access to electronic data bases BNF, Uptodate,
    Toxbase
  • Three monthly audit.
  • Electronic Prescribing

26
CONCLUSION
  • THANK YOU
  • QUESTIONS?
  • Thanks to E. Boxall and D. Grundy
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