Abstract:Purpose
Clinical decision support (CDS) systems could be valuable tools in reducing aminoglycoside prescribing errors. We evaluated the impact of CDS on initial dosing, interval, and pharmacokinetic outcomes of amikacin and tobramycin therapy.
Methods
A complex CDS advisor to provide guidance on initial dosing and monitoring, using both traditional and extended interval dosing strategies, was integrated into computerized provider order entry (CPOE) and compared to a control group which featured close pharmac… Show more
“…Of the studies focused on pharmacotherapy, the most common areas of specific focus were nephrotoxic drugs (23.8%) [24,41,60,69,76-78,85,90], antibiotics (21.4%) [20,23,26,35,54,62,68,71],[88], and insulin management (14.3%) [39,40,57,59,65,79]. …”
BackgroundHealthcare costs are increasing rapidly and at an unsustainable rate in many countries, and inpatient hospitalizations are a significant driver of these costs. Clinical decision support (CDS) represents a promising approach to not only improve care but to reduce costs in the inpatient setting. The purpose of this study was to systematically review trials of CDS interventions with the potential to reduce inpatient costs, so as to identify promising interventions for more widespread implementation and to inform future research in this area.MethodsTo identify relevant studies, MEDLINE was searched up to July 2013. CDS intervention studies with the potential to reduce inpatient healthcare costs were identified through titles and abstracts, and full text articles were reviewed to make a final determination on inclusion. Relevant characteristics of the studies were extracted and summarized.ResultsFollowing a screening of 7,663 articles, 78 manuscripts were included. 78.2% of studies were controlled before-after studies, and 15.4% were randomized controlled trials. 53.8% of the studies were focused on pharmacotherapy. The majority of manuscripts were published during or after 2008. 70.5% of the studies resulted in statistically and clinically significant improvements in an explicit financial measure or a proxy financial measure. Only 12.8% of the studies directly measured the financial impact of an intervention, whereas the financial impact was inferred in the remainder of studies. Data on cost effectiveness was available for only one study.ConclusionsSignificantly more research is required on the impact of clinical decision support on inpatient costs. In particular, there is a remarkable gap in the availability of cost effectiveness studies required by policy makers and decision makers in healthcare systems.
“…Of the studies focused on pharmacotherapy, the most common areas of specific focus were nephrotoxic drugs (23.8%) [24,41,60,69,76-78,85,90], antibiotics (21.4%) [20,23,26,35,54,62,68,71],[88], and insulin management (14.3%) [39,40,57,59,65,79]. …”
BackgroundHealthcare costs are increasing rapidly and at an unsustainable rate in many countries, and inpatient hospitalizations are a significant driver of these costs. Clinical decision support (CDS) represents a promising approach to not only improve care but to reduce costs in the inpatient setting. The purpose of this study was to systematically review trials of CDS interventions with the potential to reduce inpatient costs, so as to identify promising interventions for more widespread implementation and to inform future research in this area.MethodsTo identify relevant studies, MEDLINE was searched up to July 2013. CDS intervention studies with the potential to reduce inpatient healthcare costs were identified through titles and abstracts, and full text articles were reviewed to make a final determination on inclusion. Relevant characteristics of the studies were extracted and summarized.ResultsFollowing a screening of 7,663 articles, 78 manuscripts were included. 78.2% of studies were controlled before-after studies, and 15.4% were randomized controlled trials. 53.8% of the studies were focused on pharmacotherapy. The majority of manuscripts were published during or after 2008. 70.5% of the studies resulted in statistically and clinically significant improvements in an explicit financial measure or a proxy financial measure. Only 12.8% of the studies directly measured the financial impact of an intervention, whereas the financial impact was inferred in the remainder of studies. Data on cost effectiveness was available for only one study.ConclusionsSignificantly more research is required on the impact of clinical decision support on inpatient costs. In particular, there is a remarkable gap in the availability of cost effectiveness studies required by policy makers and decision makers in healthcare systems.
“…All these methods use observed serum concentrations to individualize the future therapy, but are not suited for the calculation of the first dose. Some authors proposed formulas to estimate patient pharmacokinetic parameters using clinical descriptors only [31][32][33]. These formulas are based on simple relationships between clinical parameters and descriptors (often linear relationships, between body weight and volume of distribution, for example), and are unable to take into account missing values.…”
Objective: To construct and validate a network to predict the first dose of amikacin. Methods: Anthropometric and therapeutic data were recorded for 120 patients. Bayesian network (BN) was built to predict the dose to achieve a fixed target peak concentration of 64 mg/l. In 40 subjects, doses predicted with the BN (BND) and based on body weight (BWD) were compared with adjusted doses calculated using a pharmacokinetic software (MM-USCPACK; BID). Results: The calculated dose differed by <20% from the ideal dose in 62.5% of the patients with the BN and in 43.8% of the patients with the BW. Conclusion: BN is a promising approach to optimize the prediction of the first dose.
“…When applied to patients with renal impairment, CPOE with clinical decision support has been associated with decreased lengths of stay, reduced use of contraindicated medications, improved dosing and drug monitoring, and improved general prescribing practices . Even so, the observed benefit of CPOE on ADE rates has been variable, with some studies reporting reductions, whereas others are unable to detect differences . These studies, however, limited their case definition of ADEs to strictly declining renal function, or adverse events directly resulting from antiâinfective drugs .…”
Vendor-developed CPOE with advanced clinical decision support can reduce the occurrence of preventable ADEs but may be associated with an increase in potential ADEs.
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