Personalized prescription feedback to reduce antibiotic overuse in primary care: Rationale and design of a nationwide pragmatic randomized trial

BMC Infectious Diseases

Volumn 16, Issue 1, 2016, Pages

  Hemkens, Lars G ^a   Saccilotto, Ramon ^a   Reyes, Selene L ^a   Glinz, Dominik ^a   Zumbrunn, Thomas ^b   Grolimund, Oliver ^c   Gloy, Viktoria ^a   Raatz, Heike ^a   Widmer, Andreas ^b   Zeller, Andreas ^d   Bucher, Heiner C ^a  

^a UNIVERSITY HOSPITAL BASEL   (Switzerland)

^b UNIVERSITY HOSPITAL BASEL   (Switzerland)

^c SASIS AG   (Switzerland)

^d UNIVERSITY OF BASEL   (Switzerland)

Author keywords

Antibiotics; Prescription feedback; Primary care; Routinely collected health data

Indexed keywords

ANTIBIOTIC AGENT; ANTIINFECTIVE AGENT;

ARTICLE; CONTROLLED STUDY; DRUG MISUSE; EVIDENCE BASED PRACTICE; GENERAL PRACTITIONER; HUMAN; INTERNET; MULTICENTER STUDY; MULTICENTER STUDY (TOPIC); PARALLEL DESIGN; PERSONALIZED MEDICINE; PHYSICIAN ATTITUDE; PRACTICE GUIDELINE; PRESCRIPTION; PROTOCOL COMPLIANCE; RANDOMIZED CONTROLLED TRIAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); SWISS; ADOLESCENT; ADULT; CHILD; CLINICAL PRACTICE; FEEDBACK SYSTEM; FEMALE; HEALTH CARE QUALITY; MALE; MIDDLE AGED; OUTPATIENT; PHYSICIAN; PRESCHOOL CHILD; PRESCRIPTION DRUG OVERUSE; PRIMARY HEALTH CARE; STANDARDS; STATISTICS AND NUMERICAL DATA; SWITZERLAND; YOUNG ADULT;

ADOLESCENT; ADULT; ANTI-BACTERIAL AGENTS; CHILD; CHILD, PRESCHOOL; FEEDBACK; FEMALE; HUMANS; MALE; MIDDLE AGED; OUTPATIENTS; PHYSICIANS; PRACTICE PATTERNS, PHYSICIANS'; PRAGMATIC CLINICAL TRIALS AS TOPIC; PRESCRIPTION DRUG OVERUSE; PRIMARY HEALTH CARE; QUALITY INDICATORS, HEALTH CARE; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SWITZERLAND; YOUNG ADULT;

EID: 84982095424     PISSN: None     EISSN: 14712334     Source Type: Journal    
DOI: 10.1186/s12879-016-1739-0     Document Type: Article

References (20)

1. Goossens H, Ferech M, Vander Stichele R, et al. Outpatient antibiotic use in Europe and association with resistance: a cross-national database study. Lancet. 2005;365(9459):579-87.
2. Costelloe C, Metcalfe C, Lovering A, et al. Effect of antibiotic prescribing in primary care on antimicrobial resistance in individual patients: systematic review and meta-analysis. BMJ. 2010;340:c2096.
3. Hillier S, Roberts Z, Dunstan F, et al. Prior antibiotics and risk of antibiotic-resistant community-acquired urinary tract infection: a case-control study. J Antimicrob Chemother. 2007;60(1):92-9.
4. Butler CC, Dunstan F, Heginbothom M, et al. Containing antibiotic resistance: decreased antibiotic-resistant coliform urinary tract infections with reduction in antibiotic prescribing by general practices. Br J Gen Pract. 2007;57(543):785-92.
5. Seppala H, Klaukka T, Vuopio-Varkila J, et al. The effect of changes in the consumption of macrolide antibiotics on erythromycin resistance in group A streptococci in Finland. Finnish Study Group for Antimicrobial Resistance. N Engl J Med. 1997;337(7):441-6.
6. Goossens H, Coenen S, Costers M, et al. Achievements of the Belgian Antibiotic Policy Coordination Committee (BAPCOC). Euro Surveill. 2008;13(46)1-4.
7. National Institute for Health and Clinical Excellence. Respiratory tract infections - antibiotic prescribing. Prescribing of antibiotics for self-limiting respiratory tract infections in adults and children in primary care. July 2008. https://www.nice.org.uk/guidance/cg69/evidence/full-guideline-196853293. Accessed 6 July 2016.
8. McDonagh MPK, Winthrop K, Cantor A, Holzhammer B, Buckley DI. Improving Antibiotic Prescribing for Uncomplicated Acute Respiratory Tract Infections, Comparative Effectiveness Review No. 163. (Prepared by the Pacific Northwest Evidence-based Practice Center under Contract No. 290-2012-00014-I.) AHRQ Publication No 15(16)-EHC033-EF. Rockville: Agency for Healthcare Research and Quality; 2016.
9. Ivers N, Jamtvedt G, Flottorp S, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012;6:CD000259.
10. R: A language and environment for statistical computing [program]. Vienna: R Foundation for Statistical Computing; 2015. https://www.r-project.org/. Accessed 6 July 2016.
11. SASIS AG. https://www.sasis.ch/. Accessed 6 July 2016.
12. Adriaenssens N, Coenen S, Tonkin-Crine S, et al. European Surveillance of Antimicrobial Consumption (ESAC): disease-specific quality indicators for outpatient antibiotic prescribing. BMJ Qual Saf. 2011. Epub ahead of print
13. Djulbegovic B. Uncertainty and equipoise: at interplay between epistemology, decision making and ethics. Am J Med Sci. 2011;342(4):282-9.
14. Faden RR, Beauchamp TL, Kass NE. Informed consent, comparative effectiveness, and learning health care. N Engl J Med. 2014;370(8):766-8.
15. Ali J, Andrews JE, Somkin CP, et al. Harms, benefits, and the nature of interventions in pragmatic clinical trials. Clin Trials. 2015;12(5):467-75.
16. Chan AW, Tetzlaff JM, Altman DG, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158(3):200-7.
17. Benchimol EI, Smeeth L, Guttmann A, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med. 2015;12(10):e1001885.
18. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340:c869.
19. Zwarenstein M, Treweek S, Gagnier JJ, et al. Improving the reporting of pragmatic trials: an extension of the CONSORT statement. BMJ. 2008;337:a2390.
20. McRae AD, Weijer C, Binik A, et al. When is informed consent required in cluster randomized trials in health research? Trials. 2011;12:202.