title: Medication errors: an analysis comparing PHICO's closed claims data and PHICO's Event Reporting Trending System (PERTS).
abstract: Clinical pharmacologists are all dedicated to improving the use of medications and decreasing medication errors and adverse drug reactions. However, quality improvement requires that some significant parameters of quality be categorized, measured, and tracked to provide benchmarks to which future data (performance) can be compared. One of the best ways to accumulate data on medication errors and adverse drug reactions is to look at medical malpractice data compiled by the insurance industry. Using data from PHICO insurance company, PHICO's Closed Claims Data, and PHICO's Event Reporting Trending System (PERTS), this article examines the significance and trends of the claims and events reported between 1996 and 1998. Those who misread history are doomed to repeat the mistakes of the past. From a quality improvement perspective, the categorization of the claims and events is useful for reengineering integrated medication delivery, particularly in a hospital setting, and for redesigning drug administration protocols on low therapeutic index medications and "high-risk" drugs. Demonstrable evidence of quality improvement is being required by state laws and by accreditation agencies. The state of Florida requires that quality improvement data be posted quarterly on the Web sites of the health care facilities. Other states have followed suit. The insurance industry is concerned with costs, and medication errors cost money. Even excluding costs of litigation, an adverse drug reaction may cost up to $2500 in hospital resources, and a preventable medication error may cost almost $4700. To monitor costs and assess risk, insurance companies want to know what errors are made and where the system has broken down, permitting the error to occur. Recording and evaluating reliable data on adverse drug events is the first step in improving the quality of pharmacotherapy and increasing patient safety. Cost savings and quality improvement evolve on parallel paths. The PHICO data provide an excellent opportunity to review information that typically would not be in the public domain. The events captured by PHICO are similar to the errors and "high-risk" drugs described in the literature, the U.S. Pharmacopeia's MedMARx Reporting System, and the Sentinel Event reporting system maintained by the Joint Commission for the Accreditation of Healthcare Organizations. The information in this report serves to alert clinicians to the possibility of adverse events when treating patients with the reported drugs, thus allowing for greater care in their use and closer monitoring. Moreover, when using high-risk drugs, patients should be well informed of known risks, dosage should be titrated slowly, and therapeutic drug monitoring and laboratory monitoring should be employed to optimize therapy and minimize adverse effects.
authors.affiliation: Department of Pharmacology & Experimental Therapeutics, Tufts University School of Medicine, Boston, Massachusetts, USA.
authors.forename: David M
authors.initials: DM
authors.lastname: Benjamin
authors.forename: Robert F
authors.initials: RF
authors.lastname: Pendrak
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems / Q000145:classification / Q000706:statistics & numerical data*; D004348:Drug Labeling; D064420:Drug-Related Side Effects and Adverse Reactions; D007343:Insurance Carriers / Q000706:statistics & numerical data; D007351:Insurance, Liability / Q000706:statistics & numerical data*; D008318:Malpractice / Q000145:classification / Q000191:economics / Q000706:statistics & numerical data; D008508:Medication Errors / Q000145:classification / Q000191:economics / Q000706:statistics & numerical data*; D008509:Medication Systems / Q000706:statistics & numerical data; D004364:Pharmaceutical Preparations / Q000008:administration & dosage; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data; D012189:Retrospective Studies; D012308:Risk Management
chemical_list: D004364:Pharmaceutical Preparations