Skip to main content

Advertisement

Log in

Impact of clinical pharmacy interventions on medication error nodes

  • Research Article
  • Published:
International Journal of Clinical Pharmacy Aims and scope Submit manuscript

Abstract

Background Pharmacists’ involvement in patient care has improved the quality of care and reduced medication errors. However, this has required a lot of work that could not have been accomplished without documentation of interventions. Several means of documenting errors have been proposed in the literature but without a consistent comprehensive process. Recently, the American College of Clinical Pharmacy (ACCP) recognized that pharmacy practice lacks a consistent process for direct patient care and discussed several options for a pharmaceutical care plan, essentially encompassing medication therapy assessment, development and implementation of a pharmaceutical care plan and finally evaluation of the outcome. Therefore, as per the recommendations of ACCP, we sought to retrospectively analyze interventions by grouping them according to medication related problems (MRP) and their nodes such as prescribing; administering; monitoring; documenting and dispensing. Objective The aim of this study is to report interventions according to medication error (ME) nodes and show the impact of pharmacy interventions in reducing MRPs. Setting The study was conducted at the cardiology and infectious diseases services at a teaching hospital located in Beirut, Lebanon. Methods Intervention documentation was completed by pharmacy students on infectious diseases and cardiology rotations then reviewed by clinical pharmacists with respective specialties. Before data analysis, a new pharmacy reporting sheet was developed in order to link interventions according to MRP. Then, MRPs were grouped in the five ME nodes. During the documentation process, whether MRP had reached the patient or not may have not been reported which prevented the classification to the corresponding medication error nodes as ME. Main outcome Reduction in medication related problems across all ME nodes. Results A total of n = 1174 interventions were documented. N = 1091 interventions were classified as MRPs. Interventions were analyzed per 1000 patient days and resulted in 340 medication related problem/1000 patient days. A 72 % reduction in MRP across all ME nodes was seen. The majority of interventions were in the field of cardiology followed by infectious disease related. When interventions per ME nodes were analyzed, a high percentage of intervention acceptance was noted across all nodes especially prescribing (68.30 %) monitoring (77.7 %) and in documenting errors (79.36 %). Conclusion The role of pharmacists in reducing preventable MRPs can be shown when pharmacy interventions are analyzed according to corresponding MRP and ME nodes.

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.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Santell JP, Hicks RW, McMeekin J, Cousins DD. Medication errors: experience of the United States Pharmacopeia (USP) MEDMARX reporting system. J Clin Pharmacol. 2003;43:760–7.

    Article  PubMed  Google Scholar 

  2. Aspden P, Wolcott J, Bootman JL, Cronenwett LR, editors. Committee on identifying and preventing medication errors: preventing medication errors: quality chasm series. Washington, DC: The National Academies Press; 2007. ISBN 978-0-309-10147-9.

    Google Scholar 

  3. Wittich CM, Burkle CM, Lanier WL. Medication errors: an overview for clinicians. Mayo Clin Proc. 2014;89(8):1116–25.

    Article  PubMed  Google Scholar 

  4. Kuo GM, Touchette DR, Marinac JS. Drug errors and related interventions reported by United States clinical pharmacists: the American College of Clinical Pharmacy practiced based research network medication error detection, amelioration and prevention study. Pharmacotherapy. 2013;33(3):253–65.

    Article  PubMed  Google Scholar 

  5. Crisp GD, Burkhart JI, Esserman DA, Weinberger M, Roth MT. Development and testing of a tool for assessing and resolving medication-related problems in older adults in an ambulatory care setting: the individualized medication assessment and planning (iMAP) tool. Am J Geriatr Pharmacother. 2011;9(6):451–60. doi:10.1016/j.amjopharm.2011.10.003.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Nesbit TW, Shermock KM, Bobek MB, Capozzi DL, Flores PA, Leonard MC, et al. Implementation and pharmacoeconomic analysis of a clinical staff pharmacist practice model. Am J Health-Syst Pharm. 2001;58:784–90.

    CAS  PubMed  Google Scholar 

  7. Bates DW. Preventing medication errors: a summary. Am J Health Syst Pharm. 2007;64(14 suppl 9):S3–9.

    Article  PubMed  Google Scholar 

  8. Alderman CP, Farmer C. A brief analysis of clinical pharmacy interventions undertaken in an Australian teaching hospital. J Qual Clin Pract. 2001;21(4):99–103.

    Article  CAS  PubMed  Google Scholar 

  9. Accreditation Counsel for Pharmacy Education [Internet]. Accreditation Counsel for Pharmacy Education accreditation standards and key elements for the professional program in pharmacy leading to the doctor of pharmacy degree (Standards 2016). 2 2015 February 2 [cited June 1 2016]. https://www.acpe-accredit.org/pdf/Standards2016FINAL.pdf.

  10. Harris I, Philips B, Boyee E, Griesbach S, Hope C, Sanoski C, et al. Clinical pharmacy should adopt a consistent process of direct patient care. Pharmcotherapy. 2014;34(8):e133–48.

    Article  Google Scholar 

  11. National Coordinating Council for Medication Error Reporting and Prevention [Internet]. NCC MERP taxonomy of medication errors. 2001 July 31 [cited June 1 2016]. http://www.nccmerp.org/sites/default/files/taxonomy2001-07-31.pdf.

  12. National Coordinating Council for Medication Error Reporting and Prevention [Internet]. NCC MERP Index for categorizing medication errors 2001 June 12 [cited June 1 2016]. http://www.nccmerp.org/sites/default/files/indexBW2001-06-12.pdf.

  13. Kuo GM, Phillips RL, Graham D, Hickner JM. Medication errors reported by US family physicians and their office staff. Qual Saf Health Care. 2008;17:286–90.

    Article  CAS  PubMed  Google Scholar 

  14. Lesar TS, Lomaestro BM, Pohl H. Medication-prescribing errors in a teaching hospital. A 9-year experience. Arch Intern Med. 1997;157:1569–76.

    Article  CAS  PubMed  Google Scholar 

  15. LaPointe NMA, Jollis JG. Medication errors in hospitalized cardiovascular patients. Arch Intern Med. 2003;163:1461–6.

    Article  PubMed  Google Scholar 

  16. Khalili H, Farsaei S, Rezaee H, Dashti-Khavidaki S. Role of clinical pharmacists’ interventions in detection and prevention of medication errors in a medical ward. Int J Clin Pharm. 2011;33:281–4.

    Article  PubMed  Google Scholar 

  17. Kuo GM. Medication errors in community/ambulatory care: incidence and reduction strategies. J Pharm Finance Econ Policy. 2006;15:43–136.

    Article  Google Scholar 

  18. Snyder RA, Abarca J, Meza JL, Rothschild JM, Rizos A, Bates DW. Reliability evaluation of the adapted National Coordinating Council Medication Error Reporting and Prevention (NCC MERP) index. Pharmacoepidemiol Drug Saf. 2007;16:1006–13.

    Article  PubMed  Google Scholar 

  19. Flynn EA, Barker KN, Pepper GA, Bates DW, Mikeal RL. Comparison of methods for detecting medication errors in 36 hospitals and skilled-nursing facilities. Am J Health Syst Pharm. 2002;59:436–46.

    PubMed  Google Scholar 

  20. Vilke GM, Tornabene SV, Stepanski B, Shipp HE, Ray LU, Metz MA, et al. Paramedic self-reported medication errors. Prehosp Emerg Care. 2007;11:80–4.

    Article  PubMed  Google Scholar 

  21. Zhan C, Hicks RW, Blanchette CM, Keyes MA, Cousins DD. Potential benefits and problems with computerized prescriber order entry: analysis of a voluntary medication error-reporting database. Am J Health Syst Pharm. 2006;63:353–8.

    Article  PubMed  Google Scholar 

  22. Andrawis MA, Carmichael J. A suite of inpatient and outpatient clinical measures for pharmacy accountability: recommendations from the Pharmacy Accountability Measures Work Group. Am J Health-Syst Pharm. 2014;71:1669–78.

    Article  Google Scholar 

  23. Al-Hajje A, Awada S, Bou Rachidi S, Chahine N, Azar R, Zein S, et al. Medication prescribing errors: data from seven Lebanese hospitals. J Med Liban. 2012;60(1):37–44.

    PubMed  Google Scholar 

  24. Kohn LT, Corrigan JM, Donaldson MS. To err is human: building a safer health system. Washington, DC: National Academies Press; 1999. ISBN 9780309068376.

    Google Scholar 

  25. Leape LL, Cullen DJ, Clapp M, Burdick E, Demonaco HJ, Erickson JI, et al. Pharmacist participation on physician rounds and adverse drug events in the intensive care unit. JAMA. 1999;282(3):267–70. doi:10.1001/jama.282.3.267.

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

None.

Conflicts of interest

None.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hanine Mansour.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 47 kb)

Supplementary material 2 (DOCX 140 kb)

Appendices

Appendix 1

figure a

Appendix 2

figure b
figure c

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chamoun, N.R., Zeenny, R. & Mansour, H. Impact of clinical pharmacy interventions on medication error nodes. Int J Clin Pharm 38, 1436–1444 (2016). https://doi.org/10.1007/s11096-016-0384-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11096-016-0384-4

Keywords

Navigation