Process evaluation of two large randomized controlled trials to understand factors influencing family physicians’ use of antibiotic audit and feedback reports

Background Unnecessary antibiotic prescriptions in primary care are common and contribute to antimicrobial resistance in the population. Audit and feedback (A&F) on antibiotic prescribing to primary care can improve the appropriateness of antibiotic prescribing, but the optimal approach is uncer...

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Veröffentlicht in:	Implementation science : IS Jg. 19; H. 1; S. 65 - 15
Hauptverfasser:	Shuldiner, Jennifer, Lacroix, Meagan, Saragosa, Marianne, Reis, Catherine, Schwartz, Kevin L., Gushue, Sharon, Leung, Valerie, Grimshaw, Jeremy, Silverman, Michael, Thavorn, Kednapa, Leis, Jerome A., Kidd, Michael, Daneman, Nick, Tradous, Mina, Langford, Bradley, Morris, Andrew M., Lam, Jonathan, Garber, Gary, Brehaut, Jamie, Taljaard, Monica, Greiver, Michelle, Ivers, Noah Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 16.09.2024 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Anti-Bacterial Agents - administration & dosage Anti-Bacterial Agents - therapeutic use Antibiotics Audit and feedback Audits Clinical trials Data collection Dosage and administration Drug resistance in microorganisms Drugs Ethical aspects Evaluation Family medicine Family physicians Feedback Female Health Administration Health Informatics Health Policy Health Promotion and Disease Prevention Health Services Research Humans Inappropriate Prescribing - prevention & control Inappropriate Prescribing - statistics & numerical data Intervention Interviews Male Medical Audit Medical personnel Medicine Medicine & Public Health Ontario Patients Pharmaceutical research Physician and patient Physicians Physicians, Family Practice Practice Patterns, Physicians' - statistics & numerical data Prescribing Primary care Primary Health Care Process evaluation Public Health Qualitative Research Research ethics Ontario Canada Ontario Canada Antibiotics Audit and feedback Process evaluation
ISSN:	1748-5908, 1748-5908
Online-Zugang:	Volltext
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