In Japanese pharmacies, Drug Profile Books (DPBs), which are a type of Personal Health Record (PHR), are incorporated in order to prevent duplicate medication and drug interactions in outpatients (patients) through th...In Japanese pharmacies, Drug Profile Books (DPBs), which are a type of Personal Health Record (PHR), are incorporated in order to prevent duplicate medication and drug interactions in outpatients (patients) through the uniform management of drug administration information. In this study, we tried to clarify the effect on patient safety of brief interventions via DPBs by pharmacists. The study design was a randomized controlled trial on pharmacies as clusters. 65 pharmacies agreed to participate in the study (intervention group (IG): 33;control group (CG): 32). The primary outcomes were: rate of inquiry occurrence, rate of prescription change, and rates of duplicate medications & drug interactions. 56 pharmacies (IG: 29;CG: 27) completed the study. There was a higher tendency for prescription changes in the IG compared to the CG (IG: 0.03%;CG: 0.02%;P = 0.08). In addition, the rate of duplicate medications & drug interactions accounting for the inquiries was significantly higher in the IG than in the CG (IG: 89.2%;CG: 71.9%;P = 0.01). This implied that brief interventions by pharmacists using DPBs had an effect in raising patient safety.展开更多
Clinical decision support(CDS) systems with automated alerts integrated into electronic medical records demonstrate efficacy for detecting medication errors(ME) and adverse drug events(ADEs). Critically ill patients a...Clinical decision support(CDS) systems with automated alerts integrated into electronic medical records demonstrate efficacy for detecting medication errors(ME) and adverse drug events(ADEs). Critically ill patients are at increased risk for ME, ADEs and serious negative outcomes related to these events. Capitalizing on CDS to detect ME and prevent adverse drug related events has the potential to improve patient outcomes. The key to an effective medication safety surveillance system incorporating CDS is advancing the signals for alerts by using trajectory analyses to predict clinical events, instead of waiting for these events to occur. Additionally, incorporating cutting-edge biomarkers into alert knowledge in an effort to identify the need to adjust medication therapy portending harm will advance the current state of CDS. CDS can be taken a step further to identify drug related physiological events, which are less commonly included in surveillance systems. Predictive models for adverse events that combine patient factors with laboratory values and biomarkers are being established and these models can be the foundation for individualized CDS alerts to prevent impending ADEs.展开更多
文摘In Japanese pharmacies, Drug Profile Books (DPBs), which are a type of Personal Health Record (PHR), are incorporated in order to prevent duplicate medication and drug interactions in outpatients (patients) through the uniform management of drug administration information. In this study, we tried to clarify the effect on patient safety of brief interventions via DPBs by pharmacists. The study design was a randomized controlled trial on pharmacies as clusters. 65 pharmacies agreed to participate in the study (intervention group (IG): 33;control group (CG): 32). The primary outcomes were: rate of inquiry occurrence, rate of prescription change, and rates of duplicate medications & drug interactions. 56 pharmacies (IG: 29;CG: 27) completed the study. There was a higher tendency for prescription changes in the IG compared to the CG (IG: 0.03%;CG: 0.02%;P = 0.08). In addition, the rate of duplicate medications & drug interactions accounting for the inquiries was significantly higher in the IG than in the CG (IG: 89.2%;CG: 71.9%;P = 0.01). This implied that brief interventions by pharmacists using DPBs had an effect in raising patient safety.
基金Supported by The Agency for Healthcare Research and Quality,No.R18HS02420-01
文摘Clinical decision support(CDS) systems with automated alerts integrated into electronic medical records demonstrate efficacy for detecting medication errors(ME) and adverse drug events(ADEs). Critically ill patients are at increased risk for ME, ADEs and serious negative outcomes related to these events. Capitalizing on CDS to detect ME and prevent adverse drug related events has the potential to improve patient outcomes. The key to an effective medication safety surveillance system incorporating CDS is advancing the signals for alerts by using trajectory analyses to predict clinical events, instead of waiting for these events to occur. Additionally, incorporating cutting-edge biomarkers into alert knowledge in an effort to identify the need to adjust medication therapy portending harm will advance the current state of CDS. CDS can be taken a step further to identify drug related physiological events, which are less commonly included in surveillance systems. Predictive models for adverse events that combine patient factors with laboratory values and biomarkers are being established and these models can be the foundation for individualized CDS alerts to prevent impending ADEs.
