Can an electronic prescribing system detect doctors who are more likely to make a serious prescribing error?

Journal of the Royal Society of Medicine

Volumn 105, Issue 7, 2012, Pages 208-218

  Coleman, Jamie J ^a,b   Hemming, Karla ^a   Nightingale, Peter G ^b   Clark, Ian R ^b   Dixon Woods, Mary ^c   Ferner, Robin E ^a   Lilford, Richard J ^a,b  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST   (United Kingdom)

^c UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ABCIXIMAB; ABELCETAN; ACETYLSALICYLIC ACID; AMPHOTERICIN; ATENOLOL; ATORVASTATIN; BECLOMETASONE; CYCLOSPORIN A; DIURETIC AGENT; ERYTHROMYCIN; METHOTREXATE; PIMOZIDE; UNCLASSIFIED DRUG; VANCOMYCIN;

ABNORMAL LABORATORY RESULT; ARTICLE; BRAIN HEMORRHAGE; CORRELATION ANALYSIS; DANGER, RISK, SAFETY AND RELATED PHENOMENA; DRUG CONTRAINDICATION; DRUG POTENTIATION; ELECTRONIC PRESCRIBING; GASTROINTESTINAL HEMORRHAGE; HEART ARRHYTHMIA; HOSPITAL DEPARTMENT; HUMAN; HYPERTENSION; HYPOTENSION; INFORMATION SYSTEM; MEDICAL ERROR; MYOSITIS; PHYSICIAN ATTITUDE; PRESCRIBING ALERT; PRESCRIPTION; RETROSPECTIVE STUDY; RISK ASSESSMENT; TEACHING HOSPITAL; ADULT; ALGORITHM; CLINICAL PRACTICE; CLINICAL TRIAL; ELECTRONIC MEDICAL RECORD; FEMALE; HOSPITAL INFORMATION SYSTEM; HOSPITAL SUBDIVISIONS AND COMPONENTS; MALE; MEDICAL STAFF; MEDICATION ERROR; MULTICENTER STUDY; STANDARD; UNITED KINGDOM;

ADULT; ALGORITHMS; DRUG PRESCRIPTIONS; ELECTRONIC PRESCRIBING; FEMALE; GREAT BRITAIN; HOSPITAL UNITS; HOSPITALS, TEACHING; HUMANS; MALE; MEDICAL ORDER ENTRY SYSTEMS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; MEDICAL STAFF, HOSPITAL; MEDICATION ERRORS; PHYSICIAN'S PRACTICE PATTERNS; RETROSPECTIVE STUDIES;

EID: 79960348429     PISSN: 01410768     EISSN: None     Source Type: Journal    
DOI: 10.1258/jrsm.2011.110061     Document Type: Article

References (20)

1. Powell AE, Davies HTO, Thomson RG. Using routine comparative data to assess the quality of healthcare: understanding and avoiding common pitfalls. Qual Safety Health Care 2003;12:122-8
2. Marshall MN, Shekelle P, Davies HTO, Smith PC. Public reporting on quality in the United States and the United Kingdom. Health Affairs 2003;22:134-48
3. Davies H. Measuring and reporting the quality of care: issues and evidence from the international research literature. Edinburgh: NHS Quality Improvement Scotland, 2006. See http://www.nhsqis.org.uk/nhsqis/files/Davies%20Paper.pdf
4. McManus C, Vincent C. Selecting and educating safer doctors. In: Vincent C, Ennis M, Audley R, eds. Medical Accidents. Oxford: Oxford University ress, 2003
5. Dornan T, Ashcroft D, Heathfield H, et al. An in depth investigation into causes of prescribing errors by foundation trainees in relation to their medical education - EQUIP Study. London: General Medical Council, 2009.
6. Leape LL, Brennan TA, Laird N, et al. The nature of adverse events in hospitalized patients. Results of the Harvard medical practice study II. N Engl J Med 991;324:377-84
7. Pirmohamed M, James S, Meakin S, et al. Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients. BMJ 004;329:15-19
8. Dobrzanski S, Hammond I, Khan G, Holdsworth H. The nature of hospital prescribing errors. Brit J Clin Govern 2002;7:187-93
9. Ferner RE. The epidemiology of medication errors: the methodological difficulties. Brit J Clin Pharmacol 2009;67:614-20
10. Nightingale PG, Adu D, Richards NT, Peters M. Implementation of rules based computerised bedside prescribing and administration: intervention study. BMJ 2000;320:750-3
11. British Medical Association/Royal Pharmaceutical Society of Great Britain. British National Formulary No. 60. London: BMA, 2010
12. Lin CP, Payne TH, Nichol WP, Hoey PJ, Anderson CL, Gennari JH. Evaluating clinical decision support systems: monitoring CPOE order check override rates in the Department of Veterans Affairs' Computerized Patient Record System. J Am Med Inform Assoc 2008;15:620-6
13. Van Der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc 2006;13:138-7
14. Lawton R, Parker D. Individual differences in accident liability: A review and integrative approach. Hum Factors 1998;40:655-71
15. Lawton R, Parker D, Manstead ASR, Stradling SG. The role of affect in predicting social behaviours: the case of road traffic violations. J Appl Soc Psychol 997;27:1258-76
16. Booysen AE, Erasmus JAK. The relationship between some personality factors and accident risk. S Afr J Psychol 1989;19:144-52
17. Hilakivi I, Veilahti J, Asplund P, Sinivuo J, Laitinen L, Koskenvuo K. A 16-factor personality test for predicting automobile driving accidents of young drivers. Accident Anal Prev 1989;21:413-18
18. Elander J, West R, French D. Behavioural-correlates of individual-differences in road-traffic crash risk - an examination of methods and findings. Psychol Bull 1993;113:279-94
19. Lardent CL. Pilots who crash - personality constructs underlying accident prone behaviour of fighter pilots. Multivar Exp Clin Res 1991;10:1-25
20. Isaac T, Weissman JS, Davis RB, et al. Overrides of medication alerts in ambulatory care. Arch Intern Med 2009;169:305-11