Background Healthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations. Objective To provide recommendations for systematic evaluation of evidence from the scientific literature, drug product labeling, and regulatory documents with respect to DDIs for clinical decision support. Methods A conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 15 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations. Results We developed expert-consensus answers to three key questions: 1) What is the best approach to evaluate DDI evidence?; 2) What evidence is required for a DDI to be applicable to an entire class of drugs?; and 3) How should a structured evaluation process be vetted and validated? Conclusion Evidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug information systems that implement these recommendations should be able to provide higher quality information about DDIs in drug compendia and clinical decision support tools.

No abstract

Protein binding can enhance or detract from a drug's performance. As a general rule, agents that are minimally protein bound penetrate tissue better than those that are highly bound, but they are excreted much faster. Among drugs that are less than 80–85 percent protein bound, differences appear to be of slight clinical importance. Agents that are highly protein bound may, however, differ markedly from those that are minimally bound in terms of tissue penetration and half-life. Drugs may bind to a wide variety of plasma proteins, including albumin. If the percentage of protein-bound drug is greater when measured in human blood than in a simple albumin solution, the clinician should suspect that the agent may be bound in vivo to one of these “minority” plasma proteins. The concentration of several plasma proteins can be altered by many factors, including stress, surgery, liver or kidney dysfunction, and pregnancy. In such circumstances, free drug concentrations are a more accurate index of clinical effect than are total concentrations. Formulary committees must grasp the clinical significance of qualitative and quantitative differences in protein binding when evaluating competing agents.

Objective. To define the role and education of the traditional pharmacist who supports the needs of the veterinarian (hereafter referred to as veterinary pharmacist) and a pharmacist who practices solely in veterinary pharmacy (here after referred to as veterinary pharmacy specialist). Methods. The Delphi technique involving 7 panels of 143 experts was employed to reach consensus on the definition of the roles and education of the veterinary pharmacist and veterinary pharmacy specialist.Results. The veterinary pharmacy specialist's role included dispensing medications, complying with regulations, advocating for quality therapeutic practices, and providing consultative services, research, and education. The perceived role of the veterinary pharmacist was viewed as being somewhat narrower. Compared to veterinary pharmacists, a more in-depth education in veterinary medicine was viewed as essential to the role development of veterinary pharmacy specialists. Conclusions. The authors hope their research will promote widespread awareness of the emerging field of veterinary pharmacy and encourage schools to offer increased access to clinically relevant professional training programs.