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Effects of Self-Empowered Teams on Rates of Adverse Drug Events in Primary Care

DOI: 10.1155/2012/374639

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Abstract:

Background. Most safety issues in primary care arise from adverse drug events. Team Resource Management intervention was developed to identify systemic safety issues to design and implement interventions to address prioritized issues. Objectives. Evaluate impact of intervention on rates of events and preventable events in a vulnerable population. Design. Cluster randomized trial. 12 practices randomly assigned to either: (1) Intervention; (2) Intervention with Practice Enhancement Assistants; (3) No intervention. The intervention took 12 months. Main Outcome Measure. Rate and severity of events and preventable events measured using a Trigger Tool chart review method for the 12-month periods before and after the start of the intervention. Results. In the ‘‘intervention with Assistants’’ group there was a statistically significant decrease in the overall rate of events and in the rate of moderate/severe events. Analysis of Variance with study arm and time as the factors and moderate/severe events as the outcome showed a significant interaction between arm and time supporting the notion that the ‘‘Intervention with Assistants’’ practices had a greater reduction in moderate/severe preventable events. Conclusions. The intervention had a significant effect on medication safety as estimated using a trigger tool. Further exploration of role of Assistants and trigger tool is warranted. 1. Introduction Medication use is recognized to be a high-risk activity across all settings. A recent Institute of Medicine (IOM) report on this subject acknowledges that the rates and impact of medication errors are huge but are poorly understood [1]. The President of the Institute of Safe Medication Practices (ISMP), Michael Cohen [2], in his testimony to a committee of the US Congress estimated that the dollar cost of adverse drug events was about $200 billion across all settings. In ambulatory settings, medication errors and adverse drug events (ADEs) are one of the most important safety issues. A study based on the National Ambulatory Medical Care Survey (NAMCS) found that office-based physicians prescribed at least 1 inappropriate medication to nearly 8% of the elderly who received prescriptions [3]. Another study of ambulatory elderly patients with polymorbidity and associated polypharmacy documented that 35% reported experiencing at least one ADE within the previous year [4]. Gurwitz and colleagues have estimated (by extrapolation) that Medicare enrollees alone suffer approximately 500,000 preventable ADEs per year [5]. A 2003 report of a multidisciplinary group (composed

References

[1]  P. Aspden and Institute of Medicine (U.S.). Committee on Identifying and Preventing Medication Errors, Preventing Medication Errors, National Academies Press, Washington, DC, USA, 2007.
[2]  M. Cohen, Medicare Reform: Laying the Groundwork for a Prescription Drug Benefit, ISMP, Washington, DC, USA, 2001.
[3]  R. R. Aparasu and S. E. Fliginger, “Inappropriate medication prescribing for the elderly by office-based physicians,” Annals of Pharmacotherapy, vol. 31, no. 7-8, pp. 823–829, 1997.
[4]  J. T. Hanlon, L. A. Shimp, and T. P. Semla, “Recent advances in geriatrics: drug-related problems in the elderly,” Annals of Pharmacotherapy, vol. 34, no. 3, pp. 360–365, 2000.
[5]  J. H. Gurwitz, T. S. Field, L. R. Harrold et al., “Incidence and preventability of adverse drug events among older persons in the ambulatory setting,” Journal of the American Medical Association, vol. 289, no. 9, pp. 1107–1116, 2003.
[6]  T. Hammons, N. F. Piland, S. D. Small, M. J. Hatlie, and H. R. Burstin, “Ambulatory patient safety: what we know and need to know,” Journal of Ambulatory Care Management, vol. 26, no. 1, pp. 63–82, 2003.
[7]  S. N. Weingart, R. M. Wilson, R. W. Gibberd, and B. Harrison, “Epidemiology of medical error,” British Medical Journal, vol. 320, no. 7237, pp. 774–777, 2000.
[8]  B. Starfield, “Is US health really the best in the world?” Journal of the American Medical Association, vol. 284, no. 4, pp. 483–485, 2000.
[9]  L. T. Kohn, J. M. Corrigan, and M. S. Donaldson, To Err Is Human: Building A Safer Health System, Committee on Quality of Health Care in America. Institute of Medicine. National Academy Press, Washington, DC, USA, 2000.
[10]  D. W. Bates, M. Cohen, L. L. Leape, J. M. Overhage, M. M. Shabot, and T. Sheridan, “Reducing the frequency of errors in medicine using information technology,” Journal of the American Medical Informatics Association, vol. 8, no. 4, pp. 299–308, 2001.
[11]  G. Singh and A. Singh, “Session 4.5 Change Management Workshop,” Chaired by Lavenderos: Workshop Presentation: AHRQ Health IT Grantee and Contractor Meeting, 2011, http://healthit.ahrq.gov/portal/server.pt/gateway/PTARGS_0_0_1635_652_0_43/http%3B/wci-pubcontent/publish/communities/a_e/events/healthit_2010_grantee_and_contractor_meeting/materials/presentations/4_5_singh__ranjitfinal.pdf.
[12]  R. Singh, T. Servoss, M. Kalsman, C. Fox, and G. Singh, “Estimating impacts on safety caused by the introduction of electronic medical records in primary care,” Informatics in Primary Care, vol. 12, no. 4, pp. 235–241, 2004.
[13]  R. Singh, A. Singh, J. S. Taylor, T. C. Rosenthal, S. Singh, and G. Singh, “Building learning practices with self-empowered teams for improving patient safety,” Journal of Health Management, vol. 8, no. 1, pp. 91–118, 2006.
[14]  R. Singh, A. Singh, T. J. Servoss, and G. Singh, “Prioritizing threats to patient safety in rural primary care,” Journal of Rural Health, vol. 23, no. 2, pp. 173–178, 2007.
[15]  R. Singh, B. Naughton, D. R. Anderson, and G. Singh, “Building self-empowered teams for improving safety in post-operative pain management,” in Advances in Patient Safety: New Directions and Alternative Approaches, K. Henriksen, J. B. Battles, M. A. Keyes, and M. L. Grady, Eds., Performance and Tools. AHRQ Publication No. 08-0034-3, pp. 37–50, Agency for Healthcare Research and Quality, Rockville, Md, USA, 2008.
[16]  B. F. Crabtree, R. R. McDaniel, P. A. Nutting, H. J. Lanham, J. Anna Looney, and W. L. Miller, “Closing the physician-staff divide: a step toward creating the medical home,” Family Practice Management, vol. 15, no. 4, pp. 20–24, 2008.
[17]  P. Plsek, “Redesigning health care with insights from the science of complex adaptive systems. Appendix B in crossing the quality chasm: a new health system for the 21st Century,” National Academy Press, 2001.
[18]  J. A. Shipengrover, “If it does not embrace chaos, can it be called a strategic plan?” CUPA Journal, vol. 47, pp. 1–6, 1996.
[19]  W. L. Miller, B. F. Crabtree, R. McDaniel, and K. C. Stange, “Understanding change in primary care practice using complexity theory,” Journal of Family Practice, vol. 46, no. 5, pp. 369–376, 1998.
[20]  K. C. Stange, “One size doesn't fit all. Multimethod research yields new insights into interventions to increase prevention in family practice,” The Journal of Family Practice, vol. 43, no. 4, pp. 358–360, 1996.
[21]  R. R. McDaniel Jr., “Strategic leadership: a view from quantum and chaos theories,” Health Care Management Review, vol. 22, no. 1, pp. 21–37, 1997.
[22]  M. A. Quinn, A. Wilcox, E. J. Orav, D. W. Bates, and S. R. Simon, “The relationship between perceived practice quality and quality improvement activities and physician practice dissatisfaction, professional isolation, and work-life stress,” Medical Care, vol. 47, no. 8, pp. 924–928, 2009.
[23]  R. Singh, E. A. McLean-Plunckett, R. Kee et al., “Experience with a trigger tool for identifying adverse drug events among older adults in ambulatory primary care,” Quality and Safety in Health Care, vol. 18, no. 3, pp. 199–204, 2009.
[24]  H. Jick, “Drugs—remarkably nontoxic,” New England Journal of Medicine, vol. 291, no. 16, pp. 824–828, 1974.
[25]  R. K. Resar, J. D. Rozich, and D. Classen, “Methodology and rationale for the measurement of harm with trigger tools,” Quality and Safety in Health Care, vol. 12, no. 2, pp. ii39–ii45, 2003.
[26]  J. D. Rozich, C. R. Haraden, and R. K. Resar, “Adverse drug event trigger tool: a practical methodology for measuring medication related harm,” Quality and Safety in Health Care, vol. 12, no. 3, pp. 194–200, 2003.
[27]  D. C. Classen, S. L. Pestotnik, R. S. Evans, and J. P. Burke, “Computerized surveillance of adverse drug events in hospital patients,” Journal of the American Medical Association, vol. 266, no. 20, pp. 2847–2851, 1991.
[28]  D. W. Bates, D. J. Cullen, N. Laird et al., “Incidence of adverse drug events and potential adverse drug events: implications for prevention,” Journal of the American Medical Association, vol. 274, no. 1, pp. 29–34, 1995.
[29]  A. Matlow, V. Flintoft, E. Orrbine et al., “The development of the Canadian paediatric trigger tool for identifying potential adverse events,” Healthcare Quarterly, vol. 8, pp. 90–93, 2005.
[30]  R. K. Resar, J. D. Rozich, T. Simmonds, and C. R. Haraden, “A trigger tool to identify adverse events in the intensive care unit,” Joint Commission Journal on Quality and Patient Safety, vol. 32, no. 10, pp. 585–590, 2006.
[31]  F. A. Griffin and R. K. Resar, IHI Global Trigger Tool for Measuring Adverse Events, IHI Innovation Series white paper, Institute for Healthcare Improvement, Cambridge, Mass, USA, 2007.
[32]  D. C. Classen, S. L. Pestotnik, R. S. Evans, J. F. Lloyd, and J. P. Burke, “Adverse drug events in hospitalized patients: excess length of stay, extra costs, and attributable mortality,” Journal of the American Medical Association, vol. 277, no. 4, pp. 301–306, 1997.

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