Unintentional medication discrepancies are common and more often due to errors taking an accurate medication history than errors reconciling this history with patient orders. Focusing on accurate medication histories, on potential medication errors at discharge, and on identifying high-risk patients for more intensive interventions may improve medication safety during and after hospitalization.
A computerized medication reconciliation tool and process redesign were associated with a decrease in unintentional medication discrepancies with potential for patient harm. Software integration issues are likely important for successful implementation of computerized medication reconciliation tools.
Clinicians usually employ indirect measures of cognitive and physical function in order to assess medical decision-making capacity. We tested a reference group of well elderly (Mini-Mental State Exam [MMSE] score = 29.1 +/- 0.8, mean +/- SD), for their understanding of three increasingly complex, hypothetical treatment situations or "vignettes"--use of a hypnotic, need for thoracocentesis, and desire for CPR. From this, we have developed a more direct, Guttman-like assessment of decision-making capacity. Of 51 Veterans Affairs nursing home residents (MMSE score = 22.4 +/- 6.9), only 33.3% demonstrated intact decision-making capacity by this method, whereas 77% were felt by their primary physicians to be capable of giving consent for oral surgery; 37.3% had very impaired decision-making capacity; and 29.4% were intermediate in this ability. Judged against our more direct assessment of decision-making capacity, primary physicians' judgment of capacity for consent was 31% to 39% sensitive in identifying impaired decision-making and the MMSE was 53% to 63% sensitive. These measures were 100% and 82% to 83% specific in identifying intact decision-making capacity, respectively. We conclude that (1) more directly assessed decision-making capacity varies noticeably among elderly nursing home residents and correlates in only limited fashion with frequently used cognitive screening methods; and (2) cognitive screening tests underestimate the prevalence of impaired decision-making capacity in this population. For informed consent and advance directives, our study suggests that decision-making capacity should be directly, rather than indirectly, assessed.
Confusion about patients' medication regimens during the hospital admission and discharge process accounts for many preventable and serious medication errors. Many organizations have begun to redesign their clinical processes to address this patient safety concern. Partners HealthCare, an integrated delivery network in Boston, Massachusetts, has answered this interdisciplinary challenge by leveraging its multiple outpatient electronic medical records (EMR) and inpatient computerized provider order entry (CPOE) systems to facilitate the process of medication reconciliation. This manuscript describes the design of a novel application and the associated services that aggregate medication data from EMR and CPOE systems so that clinicians can efficiently generate an accurate pre-admission medication list. Information collected with the use of this application subsequently supports the writing of admission and discharge orders by physicians, performance of admission assessment by nurses, and reconciliation of inpatient orders by pharmacists. Results from early pilot testing suggest that this new medication reconciliation process is well accepted by clinicians and has significant potential to prevent medication errors during transitions of care.
Many e-prescribing systems allow for both structured and free-text fields in prescriptions, making possible internal discrepancies. This study reviewed 2914 electronic prescriptions that contained free-text fields. Internal discrepancies were found in 16.1% of the prescriptions. Most (83.8%) of the discrepancies could potentially lead to adverse events and many (16.8%) to severe adverse events, involving a hospital admission or death. Discrepancies in doses, routes or complex regimens were most likely to have a potential for a severe event (p=0.0001). Discrepancies between structured and free-text fields in electronic prescriptions are common and can cause patient harm. Improvements in electronic medical record design are necessary to minimize the risk of discrepancies and resulting adverse events.
Serious medication errors occur commonly in the period after hospital discharge. Medication reconciliation in the postdischarge ambulatory setting may be one way to reduce the frequency of these errors. The authors describe the design and implementation of a novel tool built into an ambulatory electronic medical record (EMR) to facilitate postdischarge medication reconciliation. The tool compares the preadmission medication list within the ambulatory EMR to the hospital discharge medication list, highlights all changes, and allows the EMR medication list to be easily updated. As might be expected for a novel tool intended for use in a minority of visits, use of the tool was low at first: 20% of applicable patient visits within 30 days of discharge. Clinician outreach, education, and a pop-up reminder succeeded in increasing use to 41% of applicable visits. Review of feedback identified several usability issues that will inform subsequent versions of the tool and provide generalizable lessons for how best to design medication reconciliation tools for this setting.
Background: Little is known about using the Objective Structured Clinical Examination (OSCE) in physical diagnosis courses. The purpose of this study was to describe student performance on an OSCE in a physical diagnosis course.
We designed the Pre-Admission Medication List (PAML) Builder medication reconciliation application and implemented it at two academic hospitals. We asked 1,714 users to complete a survey of their satisfaction with the application and analyzed factors associated with user efficiency. The survey was completed by 626 (36.5%) users. Most (64%) responders agreed that medication reconciliation improves patient care. Improvement requests included better medication information sources and propagation of medication information to order entry. Sixty-nine percent of admitting clinicians reported a typical time to build a PAML of <10 min. Decreased reported time to build a PAML was associated with reported experience with the application and ease of use but not the average number of medications on the PAML. Most users agreed that medication reconciliation improves patient care but requested tighter integration of the different stages of the medication reconciliation process. Further training may be helpful in improving user efficiency.
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