title: Maximizing patient outcomes of antiinfective therapy.
abstract: Drug treatment of infectious disease requires consideration of both short- and long-term therapy. Although in most settings patients receive antimicrobials for acute events, long-term management of certain infections with drugs that delay progression of the disease adds a new facet to pharmacotherapy. In the past, broad questions regarding efficacy were posed: a drug was evaluated as either effective or not effective for a particular disorder. The actual question is, in whom is a given drug at a given dosage effective? Antibiotic control, restriction, and pharmacokinetic dosing programs have been useful, but they are reactive as opposed to proactive. The expensive products of biotechnology and the availability of oral drugs with activity exceeding that of parenteral antimicrobials require a more expanded scope of clinical pharmacy practice where patients are identified for these therapies prospectively using statistical models based on disease and other readily identified factors. Predictor variables for patient outcomes such as retreatment with other antibiotics, rehospitalization, toxicity, and mortality following the use of new drugs should be identified. Maximizing these outcome measurements will involve strategies that integrate epidemiology and statistical modeling techniques with principles of pharmaceutical care.
authors: Antiinfective Pharmacology Research Unit, University of Rhode Island College of Pharmacy, Roger Williams Medical Center, Providence 02908.
authors: M N
authors: MN
authors: Dudley
mesh_terms: D000890:Anti-Infective Agents / Q000008:administration & dosage / Q000627:therapeutic use*; D004363:Drug Utilization; D006801:Humans; D010593:Pharmaceutical Services / Q000639:trends; D011446:Prospective Studies; D013997:Time Factors; D016896:Treatment Outcome
chemical_list: D000890:Anti-Infective Agents