J Korean Acad Nurs.  2012 Aug;42(4):568-578. 10.4040/jkan.2012.42.4.568.

Medication Error Management Climate and Perception for System Use according to Construction of Medication Error Prevention System

• Kim MS

• KMID: 1387329
• DOI: http://doi.org/10.4040/jkan.2012.42.4.568

Abstract

PURPOSE
The purpose of this cross-sectional study was to examine current status of IT-based medication error prevention system construction and the relationships among system construction, medication error management climate and perception for system use.
METHODS
The participants were 124 patient safety chief managers working for 124 hospitals with over 300 beds in Korea. The characteristics of the participants, construction status and perception of systems (electric pharmacopoeia, electric drug dosage calculation system, computer-based patient safety reporting and bar-code system) and medication error management climate were measured in this study. The data were collected between June and August 2011. Descriptive statistics, partial Pearson correlation and MANCOVA were used for data analysis.
RESULTS
Electric pharmacopoeia were constructed in 67.7% of participating hospitals, computer-based patient safety reporting systems were constructed in 50.8%, electric drug dosage calculation systems were in use in 32.3%. Bar-code systems showed up the lowest construction rate at 16.1% of Korean hospitals. Higher rates of construction of IT-based medication error prevention systems resulted in greater safety and a more positive error management climate prevailed.
CONCLUSION
The supportive strategies for improving perception for use of IT-based systems would add to system construction, and positive error management climate would be more easily promoted.

Keyword

Medication errors; Safety management; Culture; Perception

MeSH Terms

Adult
Female
Health Personnel/*psychology
Hospital Information Systems
Humans
Male
Medical Order Entry Systems
Medication Errors/*prevention & control
Medication Systems, Hospital/statistics & numerical data
Middle Aged
Perception
Quality Assurance, Health Care
Safety Management/statistics & numerical data
User-Computer Interface

Reference

References

Ambrisko T. D.., Nemeth, T. 2004. A computer program for calculation of doses and prices of injectable medications based on body weight or body surface area. Canadian Journal of Veterinary Research. 68:62–65.

Cigularov K. P.., Chen P. Y.., Rosecrance, J. 2010. The effects of error management climate and safety communication on safety: A multilevel study. Accident Analysis & Prevention. 42:1498–1506. http://dx.doi.org/10.1016/j.aap.2010.01.003.

Crespin D. J.., Modi A. V.., Wei D.., Williams C. E.., Greene S. B.., Pierson S., et al2010. Repeat medication errors in nursing homes: Contributing factors and their association with patient harm. The American Journal of Geriatric Pharmacotherapy. 8:258–270. http://dx.doi.org/10.1016/j.amjopharm.2010.05.005.

Dilles T.., Elseviers M. M.., Van Rompaey B.., Van Bortel L. M.., Stichele R.R. 2011. Barriers for nurses to safe medication management in nursing homes. Journal of Nursing Scholarship. 43:171–180. http://dx.doi.org/10.1111/j.1547-5069.2011.01386.x.

Elder N. C.., Graham D.., Brandt E.., Hickner, J. 2007. Barriers and mo-tivators for making error reports from family medicine offices: A report from the American Academy of Family Physicians National Research Network (AAFP NRN). Journal of the American Board of Family Medicine. 20:115–123. http://dx.doi.org/10.3122/jabfm.2007.02.060081.

Force M. V.., Deering L.., Hubbe J.., Andersen M.., Hagemann B.., Cooper-Hahn M., et al2006. Effective strategies to increase reporting of medication errors in hospitals. The Journal of Nursing Administration. 36:34–41.

Haw C.., Stubbs J.., Yorston, G. 2008. Antipsychotics for BPSD: An audit of prescribing practice in a specialist psychiatric inpatient unit. International Psychogeriatrics. 20:790–799. http://dx.doi.org/10.1017/S1041610208006819.

Heard G. C.., Sanderson P. M.., Thomas R.D. 2012. Barriers to adverse event and error reporting in anesthesia. Anesthesia and Analgesia. 114:604–614. http://dx.doi.org/10.1213/ANE.0b013e31822649e8.

Hoddinott S. N.., Bass M.J. 1986. The dillman total design survey method. Canadian Family Physician Médecin De Famille Cana-dien. 32:2366–2368.

Homsma G. J.., Van Dyck C.., De Gilder D.., Koopman P. L.., Elfring, T. 2009. Learning from error: The influence of error incident characteristics. Journal of Business Research. 62:115–122. http://dx.doi.org/10.1016/j.jbusres.2007.12.003.

Khajouei R.., Wierenga P. C.., Hasman A.., Jaspers M. W.M. 2011. Clinicians satisfaction with CPOE ease of use and effect on clinicians' workflow, efficiency and medication safety. International Journal of Medical Informatics. 80:297–309. http://dx.doi.org/10.1016/j.ijmedinf.2011.02.009.

Kim C. H.., Kim, M. 2009. Defining reported errors on web-based reporting system using ICPS from nine units in a Korean university hospital. Asian Nursing Research. 3:167–176. http://dx.doi.org/10.1016/S1976-1317(09)60028-1.

Kim J.., Bates D.W. 2006. Results of a survey on medical error reporting systems in Korean hospitals. International Journal of Medical Informatics. 75:148–155. http://dx.doi.org/10.1016/j.ijmedinf.2005.06.005.

Kim J.K. 2011. May 25. Construction rate of EMR, hospital 66%, clinic 52%. Korea Healthlog. Retrieved September 21, 2011, from. http://doc3.koreahealthlog.com/46751.

Kim K. S.., Kwon S. H.., Kim J. A.., Cho S.H. 2011. Nurses' perceptions of medication errors and their contributing factors in South Korea. Journal of Nursing Management. 19:346–353. http://dx.doi.org/10.1111/j.1365-2834.2011.01249.x.

Kim M. S.., Kim J. S.., Jung I. S.., Kim Y. H.., Kim H.J. 2007. The effectiveness of the error reporting promoting program on the nursing error incidence rate in Korean operating rooms. Journal of Korean Academy of Nursing. 37:185–191.

Mekhjian H. S.., Bentley T. D.., Ahmad A.., Marsh, G. 2004. Development of a web-based event reporting system in an academic environment. Journal of the American Medical Informatics Association. 11:11–18. http://dx.doi.org/10.1197/jamia.M1349.

Milch C. E.., Salem D. N.., Pauker S. G.., Lundquist T. G.., Kumar S.., Chen, J. 2006. Voluntary electronic reporting of medical errors and adverse events. An analysis of 92,547 reports from 26 acute care hospitals. Journal of General Internal Medicine. 21:165–170. http://dx.doi.org/10.1111/j.1525-1497.2006.00322.x.

Poon E. G.., Keohane C. A.., Yoon C. S.., Ditmore M.., Bane A.., Levtzion-Korach O., et al2010. Effect of bar-code technology on the safety of medication administration. The New England Journal of Medicine. 362:1698–1707. http://dx.doi.org/10.1056/NEJMsa0907115.

Reason, J. 2004. Beyond the organisational accident: The need for "error wisdom" on the frontline. Quality & Safety in Health Care. 13:ii28–ii33. http://dx.doi.org/10.1136/qshc.2003.009548.

Simpson J.B. 2001. A unique approach for reducing specimen labeling errors: Combining marketing techniques with performance improvement. Clinical Leadership & Management Review: The Journal of CLMA. 15:401–405.

Southard, K. 2005. Bar coding medication administration: Preparing the culture for change. Nurse Leader. 3(3):53–55. http://dx.doi.org/10.1016/j.mnl.2005.02.009.

Tabachnick B. G.., Fidell L.S. 2001. Using multivariate statistics. 4th ed.Boston, MA: Allyn & Bacon.

Thomsen L. A.., Winterstein A. G.., Søndergaard B.., Haugbølle L. S.., Melander, A. 2007. Systematic review of the incidence and characteristics of preventable adverse drug events in ambulatory care. The Annals of Pharmacotherapy. 41:1411–1426. http://dx.doi.org/10.1345/aph.1H658.

Tsai S. L.., Sun Y. C.., Taur F.M. 2010. Comparing the working time between bar-code medication administration system and traditional medication administration system: An observational study. International Journal of Medical Informatics. 79:681–689. http://dx.doi.org/10.1016/j.ijmedinf.2010.07.002.

van Dyck C.., Frese M.., Baer M.., Sonnentag, S. 2005. Organizational error management culture and its impact on performance: A two-study replication. Journal of Applied Psychology. 90:1228–1240. http://dx.doi.org/10.1037/0021-9010.90.6.1228.

Wideman M. V.., Whittler M. E.., Anderson T.M. 2005. Barcode medication administration: Lessons learned from an intensive care unit implementation. Henriksen K., Battles J.B., Marks E.S., Lewin D.I., editorsAdvances in patient safety: From research to implementation (volume 3: Implementation issues). Rockville, MD: Agency for Healthcare Research and Quality.

Wright A. A.., Katz I.T. 2005. Bar coding for patient safety. The New England Journal of Medicine. 353:329–331. http://dx.doi.org/10.1056/NEJMp058101.

Wulff K.., Cummings G. G.., Marck P.., Yurtseven, O. 2011. Medication administration technologies and patient safety: A mixed-method systematic review. Journal of Advanced Nursing. 67:2080–2095. http://dx.doi.org/10.1111/j.1365-2648.2011.05676.x.

Yamamoto L.., Kanemori, J. 2010. Comparing errors in ED computer-assisted vs conventional pediatric drug dosing and administration. American Journal of Emergency Medicine. 28:588–592. http://dx.doi.org/10.1016/j.ajem.2009.02.009.