Abstract
BACKGROUND
Although electronic prescribing (e-prescribing) holds promise for preventing prescription errors in the ambulatory setting, research on its effectiveness is inconclusive.
OBJECTIVE
To assess the impact of a stand-alone e-prescribing system on the rates and types of ambulatory prescribing errors.
DESIGN, PARTICIPANTS
Prospective, non-randomized study using pre-post design of 15 providers who adopted e-prescribing with concurrent controls of 15 paper-based providers from September 2005 through June 2007.
INTERVENTION
Use of a commercial, stand-alone e-prescribing system with clinical decision support including dosing recommendations and checks for drug-allergy interactions, drug-drug interactions, and duplicate therapies.
MAIN MEASURES
Prescribing errors were identified by a standardized prescription and chart review.
KEY RESULTS
We analyzed 3684 paper-based prescriptions at baseline and 3848 paper-based and electronic prescriptions at one year of follow-up. For e-prescribing adopters, error rates decreased nearly sevenfold, from 42.5 per 100 prescriptions (95% confidence interval (CI), 36.7–49.3) at baseline to 6.6 per 100 prescriptions (95% CI, 5.1–8.3) one year after adoption (p < 0.001). For non-adopters, error rates remained high at 37.3 per 100 prescriptions (95% CI, 27.6–50.2) at baseline and 38.4 per 100 prescriptions (95% CI, 27.4–53.9) at one year (p = 0.54). At one year, the error rate for e-prescribing adopters was significantly lower than for non-adopters (p < 0.001). Illegibility errors were very high at baseline and were completely eliminated by e-prescribing (87.6 per 100 prescriptions at baseline for e-prescribing adopters, 0 at one year).
CONCLUSIONS
Prescribing errors may occur much more frequently in community-based practices than previously reported. Our preliminary findings suggest that stand-alone e-prescribing with clinical decision support may significantly improve ambulatory medication safety.
TRIAL REGISTRATION
ClinicalTrials.gov, Taconic Health Information Network and Community (THINC), NCT00225563, http://clinicaltrials.gov/ct2/show/NCT00225563?term=Kaushal&rank=6.
Similar content being viewed by others
References
Ammenwerth E, Schnell-Inderst P, Machan C, Siebert U. The Effect of Electronic Prescribing on Medication Errors and Adverse Drug Events: A Systematic Review. J Am Med Inform Assoc. 2008;15:585–600.
American Recovery and Reinvestment Act of 2009. Accessed December 4, 2009, at http://www.hhs.gov/recovery/
Gandhi TK, Weingart SN, Seger AC, et al. Outpatient prescribing errors and the impact of computerized prescribing. J Gen Intern Med. 2005;20:837–41.
eHealth Initiative foundation. A clinician’s guide to electronic prescribing. Washington, D.C.: eHealth Initiative Foundation, 2008.
Bates DW, Leape LL, Cullen DJ, et al. Effect of computerized physician order entry and a team intervention on prevention of serious medication errors. Jama. 1998;280:1311–6.
Bates DW, Teich JM, Lee J, et al. The impact of computerized physician order entry on medication error prevention. J Am Med Inform Assoc. 1999;6:313–21.
Eslami S, Abu-Hanna A, de Keizer NF. Evaluation of outpatient computerized physician medication order entry systems: a systematic review. J Am Med Inform Assoc. 2007;14:400–6.
Feldstein AC, Smith DH, Perrin N, et al. Reducing warfarin medication interactions: an interrupted time series evaluation. Arch Intern Med. 2006;166:1009–15.
Smith DH, Perrin N, Feldstein A, et al. The impact of prescribing safety alerts for elderly persons in an electronic medical record: an interrupted time series evaluation. Arch Intern Med. 2006;166:1098–104.
Steele AW, Eisert S, Witter J, et al. The effect of automated alerts on provider ordering behavior in an outpatient setting. PLoS Med. 2005;2:e255.
Grossman JM, Reed MC. Clinical information technology gaps persist among physicians. Issue Brief Cent Stud Health Syst Change 2006:1–4.
Fischer MA, Vogeli C, Stedman MR, Ferris TG, Weissman JS. Uptake of electronic prescribing in community-based practices. J Gen Intern Med. 2008;23:358–63.
Bell DS, Friedman MA. E-prescribing and the medicare modernization act of 2003. Health Aff (Millwood). 2005;24:1159–69.
Kohn LT, Corrigan J, Donaldson MS, Institute of Medicine (U.S.). Committee on Quality of Health Care in America. To err is human: building a safer health system. Washington: National Academy Press; 2000.
Bates DW, Kaushal R, Keohane CA, Cook EF. Center of Excellence for Patient Safety Research and Practice Terminology Training Manual. 2005:1–21.
Kaushal R, Bates DW, Landrigan C, et al. Medication errors and adverse drug events in pediatric inpatients. Jama. 2001;285:2114–20.
Kaushal R, Goldmann DA, Keohane CA, et al. Adverse drug events in pediatric outpatients. Ambul Pediatr. 2007;7:383–9.
Kaushal R. Using chart review to screen for medication errors and adverse drug events. Am J Health Syst Pharm. 2002;59:2323–5.
Naranjo CA, Busto U, Sellers EM, et al. A method for estimating the probability of adverse drug reactions. Clin Pharmacol Ther. 1981;30:239–45.
Grossman JM, Gerland A, Reed MC, Fahlman C. Physicians’ experiences using commercial e-prescribing systems. Health Aff (Millwood). 2007;26:w393–404.
Cherry DK, Hing E, Woodwell DA, Rechtsteiner EA. National Ambulatory Medical Care Survey: 2006 summary. Natl Health Stat Report 2008:1–39
Medicare Improvements for Patients and Providers Act of 2008. S3101.
Teich JM, Osheroff JA, Pifer EA, Sittig DF, Jenders RA. Clinical decision support in electronic prescribing: recommendations and an action plan: report of the joint clinical decision support workgroup. J Am Med Inform Assoc. 2005;12:365–76.
Bell DS, Marken RS, Meili RC, Wang CJ, Rosen M, Brook RH. Recommendations for comparing electronic prescribing systems: results of an expert consensus process. Health Aff (Millwood). 2004;Suppl Web Exclusives:W4-305–17.
Wang CJ, Patel MH, Schueth AJ, et al. Perceptions of standards-based electronic prescribing systems as implemented in outpatient primary care: a physician survey. J Am Med Inform Assoc. 2009;16:493–502.
Health information service provider (HSP). 2008. (Accessed December, 2009, at www.nyehealth.org/glossary/term/19.)
Crosson JC, Isaacson N, Lancaster D, et al. Variation in electronic prescribing implementation among twelve ambulatory practices. J Gen Intern Med. 2008;23:364–71.
Acknowledgements
The authors thank A. John Blair, III, MD, President of the Taconic IPA and CEO of MedAllies and Dianne Koval, MHSA, RHIA, CPEHR, Vice President of Provider Services for MedAllies for their assistance in enrolling office practices.
This project was supported by the Agency for Healthcare Research and Quality (1 UC1 HS016316), Rockville, MD.
Funding/Support
This project was supported by the Agency for Healthcare Research and Quality (1 UC1 HS01636), Rockville, MD.
Conflict of Interest Disclosure Statement
None of the authors have any financial interests that present a conflict of interest.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kaushal, R., Kern, L.M., Barrón, Y. et al. Electronic Prescribing Improves Medication Safety in Community-Based Office Practices. J GEN INTERN MED 25, 530–536 (2010). https://doi.org/10.1007/s11606-009-1238-8
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11606-009-1238-8