Rationale: Saline is the intravenous fluid most commonly administered to critically ill adults, but it may be associated with acute kidney injury and death. Whether use of balanced crystalloids rather than saline affects patient outcomes remains unknown.Objectives: To pilot a cluster-randomized, multiple-crossover trial using software tools within the electronic health record to compare saline to balanced crystalloids.Methods: This was a cluster-randomized, multiple-crossover trial among 974 adults admitted to a tertiary medical intensive care unit from February 3, 2015 to May 31, 2015. The intravenous crystalloid used in the unit alternated monthly between saline (0.9% sodium chloride) and balanced crystalloids (lactated Ringer's solution or PlasmaLyte A). Enrollment, fluid delivery, and data collection were performed using software tools within the electronic health record. The primary outcome was the difference between study groups in the proportion of isotonic crystalloid administered that was saline. The secondary outcome was major adverse kidney events within 30 days (MAKE30), a composite of death, dialysis, or persistent renal dysfunction.Measurements and Main Results: Patients assigned to saline (n = 454) and balanced crystalloids (n = 520) were similar at baseline and received similar volumes of crystalloid by 30 days (median [interquartile range]: 1,424 ml [500-3,377] vs. 1,617 ml [500-3,628]; P = 0.40). Saline made up a larger proportion of the isotonic crystalloid given in the saline group than in the balanced crystalloid group (91% vs. 21%; P , 0.001). MAKE30 did not differ between groups (24.7% vs. 24.6%; P = 0.98).Conclusions: An electronic health record-embedded, clusterrandomized, multiple-crossover trial comparing saline with balanced crystalloids can produce well-balanced study groups and separation in crystalloid receipt.Clinical trial registered with www.clinicaltrials.gov (NCT 02345486).
. Objective. To determine whether a computerized decision support system could increase the proportion of oral quinolone antibiotic orders placed for hospitalized patients. Design. Prospective, interrupted time‐series analysis. Setting. University hospital in the south‐eastern United States. Subjects. Inpatient quinolone orders placed from 1 February 2001 to 31 January 2003. Intervention. A web‐based intervention was deployed as part of an existing order entry system at a university hospital on 5 February 2002. Based on an automated query of active medication and diet orders, some users ordering intravenous quinolones were presented with a suggestion to consider choosing an oral formulation. Main outcome measure. The proportion of inpatient quinolone orders placed for oral formulations before and after deployment of the intervention. Results. There were a total of 15 194 quinolone orders during the study period, of which 8962 (59%) were for oral forms. Orders for oral quinolones increased from 4202 (56%) before the intervention to 4760 (62%) after, without a change in total orders. In the time‐series analysis, there was an overall 5.6% increase (95% CI 2.8–8.4%; P < 0.001) in weekly oral quinolone orders due to the intervention, with the greatest effect on nonintensive care medical units. Conclusions. A web‐based intervention was able to increase oral quinolone orders in hospitalized patients. This is one of the first studies to demonstrate a significant effect of a computerized intervention on dosing route within an antibiotic class. This model could be applied to other antibiotics or other drug classes with good oral bioavailability.
The use of epidural anesthesia has been shown to improve outcomes in the postoperative setting. To minimize risk of complications, avoiding certain medications with epidural anesthesia is advised. This study sought to determine the role of a computerized clinical decision support module implemented into the computerized physician order entry (CPOE) system on the incidence of administration of medications known to increase complications with epidural anesthesia. This study was a retrospective cohort chart review in adult patients receiving epidural anesthesia for at least 1 day. Patients were identified retrospectively and divided into 2 cohorts, those receiving an epidural 3 months prior to initiation of the module and those receiving an epidural 3 months following implementation. The primary end point was incidence of inappropriate medication administration before and after implementation. Complications of therapy were collected as secondary end points. There was a reduction in the incidence of inappropriate medication administration in the postimplementation group versus the preimplementation group (6.3% vs 12.8%) although statistical significance was not achieved. In addition, the incidence of enoxaparin administration was significantly lower postimplementation than the preimplementation (0% vs 3.9%). There were no significant differences in other complications of therapy. This study demonstrated that application of decision support for this high-risk procedural population was able to eliminate the incidence of the most common inappropriate medication for epidural analgesia, enoxaparin. A reduction in incidence of other inappropriate medications was also observed; however, statistical significance was not reached. The use of computerized clinical decision support can be a powerful tool in reducing or ameliorating medication errors, and further study will be required to determine the most appropriate and effective implementation strategies.
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