Literature DB >> 11279772

Computerised advice on drug dosage to improve prescribing practice.

R T Walton1, E Harvey, S Dovey, N Freemantle.   

Abstract

BACKGROUND: Maintaining therapeutic concentrations of toxic drugs is a complex task. Several computer systems have been designed to help doctors determine optimum drug dosage. Significant improvements in health could be achieved if computer advice was shown to be beneficial.
OBJECTIVES: To assess whether computer support for drug dosage benefits patients and hence whether it should be more widely available. SEARCH STRATEGY: We searched the Cochrane Effective Practice and Organisation of Care Group specialised register (June 1996), MEDLINE (1966 to June 1996), EMBASE (1980 to June 1996), hand searched the journal Therapeutic Drug Monitoring (1979 to June 1996), reference lists of articles and contacted experts in the field. SELECTION CRITERIA: Randomised trials, interrupted time series and controlled before and after studies of computerised advice on drug dosage. The participants were health professionals responsible for patient care. The outcomes were: any objectively measured change in the behaviour of the health care provider (such as changes in the dose of drug used); any change in the health of patients, resulting from computer support (such as adverse reactions to drugs). DATA COLLECTION AND ANALYSIS: Two reviewers independently extracted data and assessed study quality. MAIN
RESULTS: Fifteen trials involving 1229 patients were included. The drugs studied were theophylline, warfarin, heparin, aminoglycosides, nitroprusside, lignocaine, oxytocin, fentanyl and midazolam. Interventions usually targeted doctors although some studies attempted to influence prescribing by pharmacists and nurses. All included studies took place on acute medical conditions in hospital settings. Although all studies used reliable outcome measures, sample size was often small and only two studies reported a sample size calculation. Computer support for drug dosage gave significant benefits reducing: 1. The time to achieve therapeutic control (standardised mean difference -0.44, 95% CI -0.70 to -0.17); 2. Toxic drug levels (risk difference -0.12, 95% CI -0.24 to -0.01); 3. Adverse reactions (risk difference -0.06, 95% CI -0.12 to 0.00); 4. Length of hospital stay (standardised mean difference -0.32, 95% CI -0.60 to -0.04). There was a tendency for computer support to result in higher doses of drugs, although this did not reach statistical significance. REVIEWER'S
CONCLUSIONS: This systematic review provides evidence to support the use of computer assistance in determining drug dosage. Further clinical trials are necessary to determine whether the benefits seen in specialist applications can be realised in general use.

Entities:  

Mesh:

Year:  2001        PMID: 11279772     DOI: 10.1002/14651858.CD002894

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  19 in total

Review 1.  A review on systematic reviews of health information system studies.

Authors:  Francis Lau; Craig Kuziemsky; Morgan Price; Jesse Gardner
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

Review 2.  Monitoring for adverse drug reactions.

Authors:  J J Coleman; R E Ferner; S J W Evans
Journal:  Br J Clin Pharmacol       Date:  2006-04       Impact factor: 4.335

Review 3.  What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior?

Authors:  Angela Schedlbauer; Vibhore Prasad; Caroline Mulvaney; Shobha Phansalkar; Wendy Stanton; David W Bates; Anthony J Avery
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

Review 4.  Computerized clinical decision support for prescribing: provision does not guarantee uptake.

Authors:  Annette Moxey; Jane Robertson; David Newby; Isla Hains; Margaret Williamson; Sallie-Anne Pearson
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

Review 5.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.

Authors:  Kensaku Kawamoto; Caitlin A Houlihan; E Andrew Balas; David F Lobach
Journal:  BMJ       Date:  2005-03-14

Review 6.  Impact of health information technology interventions to improve medication laboratory monitoring for ambulatory patients: a systematic review.

Authors:  Shira H Fischer; Jennifer Tjia; Terry S Field
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

7.  Physicians' attitudes towards copy and pasting in electronic note writing.

Authors:  Heather C O'Donnell; Rainu Kaushal; Yolanda Barrón; Mark A Callahan; Ronald D Adelman; Eugenia L Siegler
Journal:  J Gen Intern Med       Date:  2008-11-08       Impact factor: 5.128

8.  Determination of bleeding risk using genetic markers in patients taking phenprocoumon.

Authors:  Eva Hummers-Pradier; Stephan Hess; Ibrahim M Adham; Thomas Papke; Burkert Pieske; Michael M Kochen
Journal:  Eur J Clin Pharmacol       Date:  2003-05-01       Impact factor: 2.953

Review 9.  [Incidence and prevention of lethal undesirable drug effects].

Authors:  J U Schnurrer; J C Frölich
Journal:  Internist (Berl)       Date:  2003-07       Impact factor: 0.743

Review 10.  Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990-2007).

Authors:  Sallie-Anne Pearson; Annette Moxey; Jane Robertson; Isla Hains; Margaret Williamson; James Reeve; David Newby
Journal:  BMC Health Serv Res       Date:  2009-08-28       Impact factor: 2.655

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