Addressing Antibiotic Use for Acute Respiratory Tract Infections in an Academic Family Medicine Practice
Autor: | Martina Mookadam, Carolyn C. Moats, Brie N. Noble, Michael Grover, Richard Engle, Jon T. Nordrum |
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Rok vydání: | 2013 |
Předmět: |
Adult
medicine.medical_specialty Quality management Adolescent medicine.drug_class Antibiotics Psychological intervention Academic detailing Young Adult Health care Confidence Intervals Odds Ratio medicine Humans Practice Patterns Physicians' Child Intensive care medicine Respiratory Tract Infections Acute respiratory tract infection Aged Aged 80 and over Medical Audit Respiratory tract infections business.industry Health Policy Infant Middle Aged Confidence interval Anti-Bacterial Agents Child Preschool Acute Disease Emergency medicine Family Practice business |
Zdroj: | American Journal of Medical Quality. 28:485-491 |
ISSN: | 1555-824X 1062-8606 |
Popis: | The objective of this study was to educate health care providers and patients to reduce overall antibiotic prescription rates for patients with acute respiratory tract infection (ARTI). An interdisciplinary quality improvement team used the Define, Measure, Analyze, Improve, and Control quality improvement process to change patient expectations and provider antibiotic prescribing patterns. Providers received personal and group academic detailing about baseline behaviors, copies of treatment guidelines, and educational materials to use with patients. Get Smart About Antibiotics Week materials educated patients about appropriate antibiotic use. Providers collected demographic and clinical information about a case series of patients with ARTIs and their subsequent provision of antibiotics. In total, 241 patients with ARTIs were accrued. The antibiotic prescribing rate for patients aged 18 years and older was significantly reduced from 69% at baseline to 56% after interventions (95% confidence interval = 49.1%-63.4%; P.001). Providers' prescribing behaviors significantly improved after multiple quality improvement interventions. |
Databáze: | OpenAIRE |
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