Skip to main content
Log in

Computer-Assisted Drug Therapy Problem Notification

  • Original Research Article
  • Published:
Disease Management and Health Outcomes

Abstract

Objective: To describe the use of computer technology to enhance our ability to identify and notify providers of potential drug therapy problems using a mail intervention monitoring programme.

Setting: Pharmacy benefit management company.

Intervention: Use of clinical software systems and professional support to help physicians and pharmacists eliminate drug therapy problems using a drug therapy problem notification service. The service begins with an automated clinical screening system. Pharmacists then review the potential problems for relevance. After a potential problem is identified, the system generates letters to physicians and pharmacists. The letters describe the problem and explain its significance, provide recommended alternatives and supporting references, and give a patient prescription profile. Key enhancements to the system included: (i) use of a commercially available personal computer database program; (ii) client-server connections to large data sources; (iii) creation of sophisticated computer screening criteria; (iv) on-screen patient drug therapy problem review; (v) system loading of patient, physician and pharmacy information; (vi) automated follow-up; and (vii) criteria modification based on therapy changes.

Main outcome measures and results: From January 1998 through July 1999, the service notified physicians and pharmacists of 100 894 potential problems for 49 892 patients. Over 60% of the interventions resulted in a change of drug therapy. Without this system it took over 3 months to mail letters. The turnaround time now takes less than 15 days. Pharmacists can now review 14 times as many potential problems in the same amount of time as taken previously.

Conclusion: A combination of end-user programme development and information services department support considerably reduced the time required to identify, and notify providers about, potential drug problems compared with our previous system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Table I

Similar content being viewed by others

References

  1. Johnson JA, Bootman JL. Drug-related morbidity and mortality. A cost-of-illness model. Arch Intern Med 1995; 155: 1949–56

    Article  PubMed  CAS  Google Scholar 

  2. Manasse HR. Medication use in an imperfect world: drug misadventuring as an issue of public policy. Am J Hosp Pharm 1989; 46: 929–44

    PubMed  Google Scholar 

  3. Manasse HR. Medication use in an imperfect world: drug misadventuring as an issue of public policy. Am J Hosp Pharm 1989; 46: 1141–52

    PubMed  Google Scholar 

  4. Bates DW, Cullen DJ, Laird N, et al. Incidence of adverse drug events and potential adverse drug events: implications for prevention. JAMA 1995; 274: 29–34

    Article  PubMed  CAS  Google Scholar 

  5. Monane M, Matthias DM, Nagle BA, et al. Improving prescribing patterns for the elderly through an online drug utilization review intervention: a system linking the physician, pharmacist, and computer. JAMA 1998; 280: 1249–52

    Article  PubMed  CAS  Google Scholar 

  6. Collins TM, Mott DA, Bigelow WE, et al. A controlled letter intervention to change prescribing behavior: results of a dual-targeted-approach. Health Serv Res 1997; 32: 471–89

    PubMed  CAS  Google Scholar 

  7. Okano GJ, Rascati KL. Effects of Medicaid drug utilization review intervention letters. Clin Ther 1995; 17: 525–33

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ronald A. Lyon.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lyon, R.A., Crockell, Y.J. & England, N.P. Computer-Assisted Drug Therapy Problem Notification. Dis-Manage-Health-Outcomes 7, 245–250 (2000). https://doi.org/10.2165/00115677-200007050-00002

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.2165/00115677-200007050-00002

Keywords

Navigation