Doing better with critical test results.
Health care should achieve the goals that no critical test result is lost and that all such results are managed with a speed appropriate to their urgency.
Biomedical subjects
Publications and source records attributed to David W Bates.
Health care should achieve the goals that no critical test result is lost and that all such results are managed with a speed appropriate to their urgency.
BACKGROUND: Massachusetts hospitals have collaborated in a patient safety initiative conducted by the Massachusetts Coalition for the Prevention of Medical Errors and the Massachusetts Hospital Association which is aimed at improving the ability to communicate critical test results in a timely and reliable way to the clinician who can take action. Solutions to this problem would address enhancing communication, teamwork, and information transfer, all fundamental system factors linked to patient safety. DEVELOPING THE SAFE PRACTICE RECOMMENDATIONS AND THE "STARTER SET": A Coalition-convened Consensus Group defined critical test results as values/interpretations for which reporting delays can result in serious adverse outcomes for patients. The scope included laboratory, cardiology, radiology, and other diagnostic tests in inpatient, emergency, and ambulatory settings. The Consensus Group developed Safe Practice Recommendations to promote successful communication of results, and a "starter set" of test results sufficiently abnormal to be widely agreed to be considered "critical." DISSEMINATION: The recommendations and the starter set of test results were disseminated in a statewide collaborative open to all Massachusetts hospitals. Hospitals' team members tested changes and shared successful strategies that improved the reliability of communicating critical test results. An evaluation of the results of this collaborative is underway.
BACKGROUND: Infusion devices can be programmed with individual hospitals' "best practice" rules for intravenous (i.v.) drug administration, and alerts can be provided if dosages fall outside pre-established limits. High variation levelsare common in medical care but can increase safety risk if the variation is unnecessary. METHODS: The i.v. best practice data sets of drugs from 100 hospitals using one manufacturer's infusion devices were compared to assess the number of drug names used and thevariation in concentrations, dose units, dose limits, and administration practices. RESULTS: The 100 hospitals showed an average of 64 drugs per data set and an average of 113 different drug/concentration 4 combinations. On average, each hospital had designated 6 profiles or unique patient care areas; there were 4 different names per drug across the hospitals (for example, amiodarone had 45 different names). High levels of variation in concentrations were ubiquitous. Overall, 60% of medications had more than one continuous dosage unit (range, 1-9). Variation was also noted in bolus dosing; 59 (50%) of 119 drugs had more than one unit (range, 1-4). Dose limits also varied substantially but were difficult to assess since the limits typically varied withthe indication. CONCLUSIONS: Substantial unnecessary variation in i.v. medication practicesis likely associated with increased risk of harm. Standardization has the potential to substantially improve i.v. medication safety.
PURPOSE: Despite widespread public attention and numerous ongoing patient safety initiatives, physicians are skeptical of the most commonly prescribed interventions to reduce medical errors. This study examined the association between the published evidence of effectiveness of interventions to reduce medical errors and physicians' ratings of the effectiveness of those interventions. It further assessed whether academic affiliation was associated with physicians' ratings of effectiveness. METHOD: The authors conducted a literature review seeking evidence of effectiveness of 13 interventions to reduce medical errors. A four-page questionnaire was sent to a random sample of 1,332 U.S. physicians in the spring of 2002. A total of 831 (62%) responded, providing ratings of the perceived effectiveness of these interventions to reduce medical errors. RESULTS: We identified published evidence of effectiveness for six of the 13 interventions. Physicians rated 34% of these and 29% of the interventions without published evidence as "very effective" (p < .01). Physicians with an academic affiliation and those in practice for more years were slightly more likely to rate interventions with published evidence as "very effective." CONCLUSIONS: Physicians' ratings of the effectiveness of interventions to reduce medical errors are only weakly associated with published evidence of effectiveness. More evidence, better dissemination strategies for existing evidence such as inclusion in medical school curriculum or recertification examinations, and a focus on removing barriers to interventions may be needed to engage physicians in moving patient safety interventions into medical practice.
OBJECTIVE: Intravenous medications are vital during inpatient management. Errors associated with the administration of medications through intravenous infusion pumps to critically ill patients can result in adverse drug events. We sought to assess the impact of smart pumps with integrated decision support software on the incidence and nature of medication errors and adverse drug events. DESIGN: We performed a prospective, randomized time-series trial and compared the serious medication error rate between intervention (decision support on) and control (decision support off) periods. Serious medication errors included both near-misses and preventable adverse drug events. Pump software produced log reports to help identify potential events. Events were presented to physicians for rating of event type, preventability, and severity. SETTING: Cardiac surgical intensive care and step-down units between February and December 2002. PATIENTS: Pump data were available for 744 cardiac surgery admissions. INTERVENTIONS: Decision support during medication administration provided feedback including alerts, reminders, and unit-specific drug rate limits. MEASUREMENTS AND MAIN RESULTS: We found a total of 180 serious medication errors, including 14 and 11 preventable adverse drug events and 73 and 82 nonintercepted potential adverse drug events in the control and intervention periods, respectively. The serious medication error rates in the control and intervention periods were 2.03 and 2.41 per 100 patient-pump-days, respectively (p = .124). We also found numerous opportunities for safety improvement. Violations of infusion practice during the intervention periods included 571 (25%) bypasses of the drug library. Medications were also frequently administered without documentation of physician orders in both periods (n = 823; 7.7%). CONCLUSION: Intravenous medication errors and adverse drug events were frequent and could be detected using smart pumps. We found no measurable impact on the serious medication error rate, likely in part due to poor compliance. Although smart pumps have great promise, technological and nursing behavioral factors must be addressed if these pumps are to achieve their potential for improving medication safety.
OBJECTIVE: Critically ill patients require high-intensity care and may be at especially high risk of iatrogenic injury because they are severely ill. We sought to study the incidence and nature of adverse events and serious errors in the critical care setting. DESIGN: We conducted a prospective 1-year observational study. Incidents were collected with use of a multifaceted approach including direct continuous observation. Two physicians independently assessed incident type, severity, and preventability as well as systems-related and individual performance failures. SETTING: Academic, tertiary-care urban hospital. PATIENTS: Medical intensive care unit and coronary care unit patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcomes of interest were the incidence and rates of adverse events and serious errors per 1000 patient-days. A total of 391 patients with 420 unit admissions were studied during 1490 patient-days. We found 120 adverse events in 79 patients (20.2%), including 66 (55%) nonpreventable and 54 (45%) preventable adverse events as well as 223 serious errors. The rates per 1000 patient-days for all adverse events, preventable adverse events, and serious errors were 80.5, 36.2, and 149.7, respectively. Among adverse events, 13% (16/120) were life-threatening or fatal; and among serious errors, 11% (24/223) were potentially life-threatening. Most serious medical errors occurred during the ordering or execution of treatments, especially medications (61%; 170/277). Performance level failures were most commonly slips and lapses (53%; 148/277), rather than rule-based or knowledge-based mistakes. CONCLUSIONS: Adverse events and serious errors involving critically ill patients were common and often potentially life-threatening. Although many types of errors were identified, failure to carry out intended treatment correctly was the leading category.
BACKGROUND: Reducing the rate of adverse drug events in the ambulatory setting may require large investments in quality improvement efforts and technologic innovations. Little evidence is available on the potential resulting savings. OBJECTIVE: The objective of this study was to estimate the costs associated with adverse drug events among older adults in the ambulatory setting. RESEARCH DESIGN: This study consisted of a 1-year retrospective cohort study among Medicare enrollees of a large multispecialty group practice. The study included 1210 older adults with an adverse drug event. A matched comparison group was randomly selected from enrollees with recent healthcare encounters and medication dispenses. OUTCOME MEASURE: Difference between estimated costs for medical care utilization during the 6 weeks before and 6 weeks beginning on the day of an adverse drug event. RESULTS: For all adverse drug events, the increase in postevent costs over the preevent period was $1310 (95% confidence interval [CI], $625-$1995) greater for those experiencing an adverse drug event than the comparison group after controlling for age, sex, comorbidity, number of scheduled medications, and having been hospitalized during the preevent period. For preventable adverse drug events, the adjusted increase was $1983 (95% CI, $193-$3773) greater for cases. Based on rates of adverse drug events and these cost estimates, 1000 older adults would have annual costs related to adverse drug events in the ambulatory setting of $65,631 with $27,365 of this associated with preventable events. CONCLUSIONS: Adverse drug events in the ambulatory setting substantially increase the healthcare costs of elderly persons.
PURPOSE: Little is known about how well hospitalized patients can identify errors or injuries in their care. Accordingly, the purpose of this study was to elicit incident reports from hospital inpatients in order to identify and characterize adverse events and near-miss errors. SUBJECTS: We conducted a prospective cohort study of 228 adult inpatients on a medicine unit of a Boston teaching hospital. METHODS: Investigators reviewed medical records and interviewed patients during the hospitalization and by telephone 10 days after discharge about "problems,""mistakes," and "injuries" that occurred. Physician investigators classified patients' reports. We calculated event rates and used multivariable Poisson regression models to examine the factors associated with patient-reported events. RESULTS: Of 264 eligible patients, 228 (86%) agreed to participate and completed 528 interviews. Seventeen patients (8%) experienced 20 adverse events; 1 was serious. Eight patients (4%) experienced 13 near misses; 5 were serious or life threatening. Eleven (55%) of 20 adverse events and 4 (31%) of 13 near misses were documented in the medical record, but none were found in the hospital incident reporting system. Patients with 3 or more drug allergies were more likely to report errors compared with patients without drug allergies (incidence rate ratio 4.7, 95% CI 1.7, 13.4). CONCLUSION: Inpatients can identify adverse events affecting their care. Many patient-identified events are not captured by the hospital incident reporting system or recorded in the medical record. Engaging hospitalized patients as partners in identifying medical errors and injuries is a potentially promising approach for enhancing patient safety.
BACKGROUND: Medication errors are common among inpatients and many are preventable with computerized prescribing. Relatively little is known about outpatient prescribing errors or the impact of computerized prescribing in this setting. OBJECTIVE: To assess the rates, types, and severity of outpatient prescribing errors and understand the potential impact of computerized prescribing. DESIGN: Prospective cohort study in 4 adult primary care practices in Boston using prescription review, patient survey, and chart review to identify medication errors, potential adverse drug events (ADEs) and preventable ADEs. PARTICIPANTS: Outpatients over age 18 who received a prescription from 24 participating physicians. RESULTS: We screened 1879 prescriptions from 1202 patients, and completed 661 surveys (response rate 55%). Of the prescriptions, 143 (7.6%; 95% confidence interval (CI) 6.4% to 8.8%) contained a prescribing error. Three errors led to preventable ADEs and 62 (43%; 3% of all prescriptions) had potential for patient injury (potential ADEs); 1 was potentially life-threatening (2%) and 15 were serious (24%). Errors in frequency (n=77, 54%) and dose (n=26, 18%) were common. The rates of medication errors and potential ADEs were not significantly different at basic computerized prescribing sites (4.3% vs 11.0%, P=.31; 2.6% vs 4.0%, P=.16) compared to handwritten sites. Advanced checks (including dose and frequency checking) could have prevented 95% of potential ADEs. CONCLUSIONS: Prescribing errors occurred in 7.6% of outpatient prescriptions and many could have harmed patients. Basic computerized prescribing systems may not be adequate to reduce errors. More advanced systems with dose and frequency checking are likely needed to prevent potentially harmful errors.
OBJECTIVE: To describe the incidence of adverse drug events (ADEs), preventable ADEs, and ameliorable ADEs occurring after hospital discharge and their associated risk factors. DESIGN: Prospective cohort study. SETTING: Urban academic health sciences center. PATIENTS: Consecutive patients discharged home from the general medical service. INTERVENTIONS: We determined posthospital outcomes approximately 24 days following discharge by performing a chart review and telephone interview. Using the telephone interview, we identified new or worsening symptoms, the patient's health system use, and recollection of processes of care. Posthospital outcomes were judged by 2 internists independently. RESULTS: Four hundred of 581 potentially eligible patients were evaluated. Of the 400 patients, 45 developed an ADE (incidence, 11%; 95% confidence interval [CI], 8% to 14%). Of these, 27% were preventable and 33% were ameliorable. Injuries were significant in 32 patients, serious in 6, and life threatening in 7. Patients were less likely to experience an ADE if they recalled having side effects of prescribed medications explained (OR, 0.4; 95% CI, 0.2 to 0.8). The risk of ADE per prescription was highest for corticosteroids, anticoagulants, antibiotics, analgesics, and cardiovascular medications. Risk increased with prescription number. Failure to monitor was an especially common cause of preventable and ameliorable ADEs. CONCLUSION: Following discharge, ADEs were common and many were preventable or ameliorable. Medication side effects should be discussed, and interventions should include better monitoring and target patients receiving specific drug classes or multiple medications.
OBJECTIVE: To determine whether outpatient cholesterol management varies by gender or race among patients with atherosclerosis, and assess factors related to subsequent cholesterol control. DESIGN: Retrospective cohort study. SETTING: Primary care clinics affiliated with an academic medical center. PARTICIPANTS: Two hundred forty-three patients with coronary heart disease, cerebrovascular disease, or peripheral vascular disease and low-density lipoprotein cholesterol (LDL-C)>130 mg/dl. MEASUREMENTS AND MAIN RESULTS: The primary process of care assessed for 1,082 office visits was cholesterol management (medication intensification or LDL-C monitoring). Cholesterol management occurred at 31.2% of women's and 38.5% of men's visits (P=.01), and 37.3% of black and 31.7% of white patients' visits (P=.09). Independent predictors of cholesterol management included female gender (adjusted risk ratio [ARR], 0.77; 95% confidence interval [CI], 0.60 to 0.97), seeing a primary care clinician other than the patient's primary care physician (ARR, 0.23; 95% CI, 0.11 to 0.45), and having a new clinical problem addressed (ARR, 0.60; 95% CI, 0.48 to 0.74). After 1 year, LDL-C <130 mg/dl occurred less often for women than men (41% vs 61%; P=.003), black than white patients (39% vs 58%; P=.01), and patients with only Medicare insurance than with commercial insurance (37% vs 58%; P=.008). Adjustment for clinical characteristics and management attenuated the relationship between achieving an LDL-C <130 mg/dl and gender. CONCLUSIONS: In this high-risk population with uncontrolled cholesterol, cholesterol management was less intensive for women than men but similar for black and white patients. Less intense cholesterol management accounted for some of the disparity in cholesterol control between women and men but not between black and white patients.
Although computerized physician order entry (CPOE) has been successfully implemented in many acute care hospitals, few descriptions of its use in the long-term care (LTC) setting are available. This report describes the experiences of one LTC facility in developing and implementing a CPOE system with clinical decision support (CDS). Even when a facility has the necessary resources and "institutional will," many challenges are associated with the implementation of this application. The system was designed to meet the needs of healthcare providers in the LTC setting, in particular by informing prescribing decisions, reducing the frequency of prescribing and monitoring errors, and reducing adverse drug event rates. Based on experience adopting this technology early, 10 insights are offered that it is hoped will assist others who are considering the implementation of CPOE systems with CDS in the LTC setting.
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Increased patient interaction with medical records and the advent of personal health records (PHRs) may increase patients' ability to contribute valid information to their Electronic Medical Record (EHR) medical record. Patient input through a secure connection, whether it be a patient portal or PHR, will integrate many aspects of a patient's health and may help lessen the information gap between patients and providers. Patient reported data should be considered a viable method of enhancing documentation but will not likely be as complete and accurate as more comprehensive data-exchange between providers.
Ambulatory computerized physician order entry (ACPOE) represents one strategy to improve physician ordering practices, compliance with guidelines, and patient safety. We surveyed primary care physicians (PCPs) regarding attitudes towards ACPOE and its various features. Most PCPs did not have systems for tracking test results and were concerned about missed tests. However, there was concern that ACPOE might be time consuming, and only one-third of PCPs felt that ACPOE features would be very useful. Speed and workflow issues will be important contributors to the success of ACPOE. In addition, physician buy-in to the utility of its various features will need to be strengthened.
The use of Electronic Health Records (EHRs) has been widely advocated to transform health-care delivery by improving quality, safety, and efficiency. Compared to a paper-based system, EHRs offer better access to clinical data and facilitate order entry and decision support. However, the benefits provided by EHRs do not eliminate the need to assess how such systems alter clinician time utilization. A major barrier to EHR use has been the concern that the EHR will take longer to use than paper-based systems. Few studies have addressed this issue in specialty clinic settings. We performed a time-motion study to evaluate how oncologists' time utilization differed before and after EHR implementation.
We performed a direct observation prepost study to evaluate the impact of barcode technology on medication dispensing errors and potential adverse drug events in the pharmacy of a tertiary-academic medical center. We found that barcode technology significantly reduced the rate of target dispensing errors leaving the pharmacy by 85%, from 0.37% to 0.06%. The rate of potential adverse drug events (ADEs) due to dispensing errors was also significantly reduced by 63%, from 0.19%to 0.069%. In a 735-bed hospital where 6 million doses of medications are dispensed per year, this technology is expected to prevent about 13,000 dispensing errors and 6,000 potential ADEs per year.
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