Home > PJ (current issue) > Broad Spectrum | Search

Return to PJ Online Home Page

The Pharmaceutical Journal
Vol 271 No 7276 p708
22 November 2003

This article
Reprint
Photocopy

   

PDF* 55K

Comment

Crying wolf! Why computerised drug interaction alerts need an overhaul

By John Wilson

John Wilson is a semi-retired pharmacist based in Arnold, Nottinghamshire, who works part-time as a writer and locum pharmacist

Recently I have been contemplating the problems of prescribing errors and the responsibility of the pharmacist to intercept any such errors before they reach the patient and possibly cause harm. Dr Bryony Dean Franklin and her colleagues at the London University School of Pharmacy have done much excellent work in this field as far as errors in prescribing by hospital doctors is concerned.1–4 Others have looked at the impact of clinical pharmacists on prescribing errors on medical wards.5 The extent of prescription errors in general practice has also been surveyed.

A master’s degree project at Nottingham University, supervised by the late Dr Mo Aslam, found that prescribing errors on general practice prescriptions were common6 and there was a wide range of different types of error. This study showed that the error rate varied significantly between prescribers in different practices and was relatively high on handwritten prescriptions. The latter phrase is, I believe, significant. It implies that comp-uter-generated prescriptions are less error-prone, presumably because of the drug interaction software included in practice computer systems.

However, general practitioners’ views on the use of computerised drug interaction alerts vary.7 Of the GPs surveyed, some 22 per cent admitted to “frequently or very frequently over-riding drug interaction alerts without properly checking them”. The investigators found that the type of computer system used may make it more or less likely that the GP may over-ride an alert. A commentary in the same issue of that journal8 suggests that mechanisms should be introduced to prevent computers from issuing potentially dangerous drug combinations. Alternatively, “perhaps the solution is to couch drug alerts less in terms of a ‘hazard signal’ or warning of unspecified dangers ahead, but more in terms of clinical consequences”. So, doctors may sometimes, even “very frequently”, ignore the warnings of a drug interaction and issue the prescription anyway.

What happens when the prescription reaches the community pharmacy? Chen et al examined the problem of prescriptions with potentially dangerous drug combinations which arrived for dispensing.9 They pointed out that community pharmacy computer systems varied in their ability to detect potentially hazardous drug combinations, and that pharmacists do not always act on such warnings, even if the drug combination is potentially hazardous. Although drug interactions with immediate serious consequences were relatively rare in their study, many of the interactions that they observed would require monitoring.

Real life is, however, not that simple. In some pharmacies in which I have worked as a locum since retirement, it seems that the mean number of prescription items per patient goes into double figures. The dispensary computer pings endlessly with alerts. Therefore, having read the papers that I refer to above, I decided to carry out a small study of my own in one pharmacy. For a number of prescriptions dispensed, I noted the interactions that were brought up on the screen. Some of them were well known, but others were rather bizarre, to say the least. In some cases, an interaction alert seems to be applied to a whole class of drugs whereas a quick check in the BNF will show that only one or two members of that class of drugs is involved in the interaction.

All the interactions arose from long-established prescriptions that had been dispensed regularly for months. If I had attempted to contact the prescriber about even a few of the interactions, the day’s work would not have been completed, and I suspect that I would have received a less than welcome response from some of the GPs.

How would we know if harm had befallen any of these patients as a result of the interactions? This particular pharmacy was, admittedly, something of a prescription factory. A significant number of the prescriptions were collected by one of the pharmacy staff from the local surgery, the items dispensed and the medicines then delivered to patients by a woman with a small van. There was little or no contact between the pharmacy and patients, or their carers or relations. This scenario is, I suspect, the reality in many community pharmacies. It is likely that the situation with regard to ignoring interaction warnings by community pharmacists is similar to that identified by Magnus et al7 for doctors.

What is to be done? I suggest that someone with considerable expertise in drug interactions should go through the databases used in both GP and pharmacy computers, highlight those that are important or dangerous and get rid of the rest.
I suspect that the designers of the software for both GP and pharmacy computer systems are covering their backs by including every conceivable interaction in the database. However, if this means that even insignificant interactions are brought up on to the screen, this will lead to users ignoring all of them — a fine example of the law of unintended consequences.

References

1 Dean B, Barber N, Schachter M et al. Prescribing errors in hospital inpatients: why do they occur? Pharm J 2000;265(Suppl):R17.
2 Dean B, Schachter M, Vincent C et al. Causes of prescribing errors in hospital inpatients: a prospective study. Lancet 2002;359:1373–8.
3 Dean B. Learning from prescribing errors. Quality and Safety in Health Care 2002;11:258–60.
4 Dean B, Schachter M, Vincent C et al. Prescribing errors in hospital inpatients: their incidence and clinical significance. Quality and Safety in Health Care 2002;11:340–4.
5 Dale A, Copeland R, Barton R. Prescribing errors on medical wards and the impact of clinical pharmacists. Int J Pharm Pract 2003;11: 19–24.
6 Shah SNH, Aslam M. Avery AJ. A survey of prescription errors in general practice. Pharm J 2001;267: 860–2 (PDF 107K)
7 Magnus D, Rodgers S, Avery AJ et al. GPs’ views on computerised drug interaction alerts: questionnaire survey. J Clin Pharm Ther 2002;27:377–82.
8 Ashworth M. Commentary. J Clin Pharm Ther 2002;27:311–2.
9 Chen Y-F, Neil KE, Avery AJ et al. Prescriptions with potentially hazardous/contraindicated drug combinations presented to community pharmacies. Int J Pharm Pract 2002; 10(Suppl):R29 (PDF 45K)


  * PDF files on PJ Online require Acrobat Reader 4 or later

Back to Top


Home | Journals | News | Notice-board | Search | Jobs  Classifieds | Site Map | Contact us

©The Pharmaceutical Journal