1887
Research Open Access
Like 0

Abstract

Background

In most countries, including France, data on clinical indications for outpatient antibiotic prescriptions are not available, making it impossible to assess appropriateness of antibiotic use at prescription level.

Aim

Our objectives were to: (i) propose proxy indicators (PIs) to estimate appropriateness of antibiotic use at general practitioner (GP) level based on routine reimbursement data; and (ii) assess PIs’ performance scores and their clinimetric properties using a large regional reimbursement database.

Methods

A recent systematic literature review on quality indicators was the starting point for defining a set of PIs, taking French national guidelines into account. We performed a cross-sectional study analysing National Health Insurance data (available at prescriber and patient levels) on antibiotics prescribed by GPs in 2017 for individuals living in north-eastern France. We measured performance scores of the PIs and their case-mix stability, and tested their measurability, applicability, and room for improvement (clinimetric properties).

Results

The 3,087 GPs included in this study prescribed a total of 2,077,249 antibiotic treatments. We defined 10 PIs with specific numerators, denominators and targets. Performance was low for almost all indicators ranging from 9% to 75%, with values < 30% for eight of 10 indicators. For all PIs, we found large variation between GPs and patient populations (case-mix stability). Regarding clinimetric properties, all PIs were measurable, applicable, and showed high improvement potential.

Conclusions

The set of 10 PIs showed satisfactory clinimetric properties and might be used to estimate appropriateness of antibiotic prescribing in primary care, in an automated way within antibiotic stewardship programmes.

Loading

Article metrics loading...

/content/10.2807/1560-7917.ES.2020.25.27.1900468
2020-07-09
2024-11-29
http://instance.metastore.ingenta.com/content/10.2807/1560-7917.ES.2020.25.27.1900468
Loading
Loading full text...

Full text loading...

/deliver/fulltext/eurosurveillance/25/27/eurosurv-25-27-2.html?itemId=/content/10.2807/1560-7917.ES.2020.25.27.1900468&mimeType=html&fmt=ahah

References

  1. Agence nationale de sécurité du médicament et des produits de santé (ANSM; National Agency for the Safety of Medicines and Health Products). Evolution des consommations d’antibiotiques en France entre 2000 et 2015 - Point d'Information. [Evolution of antibiotic consumption in France between 2000 and 2015 – Information point]. Saint-Denis: ANSM. [Accessed: 18 Oct 2019]. French. Available from: https://ansm.sante.fr/S-informer/Points-d-information-Points-d-information/Evolution-des-consommations-d-antibiotiques-en-France-entre-2000-et-2015-Point-d-Information
  2. World Health Organization (WHO). Global action plan on antimicrobial resistance. Geneva: WHO. [Accessed: 18 Oct 2019]. Available from: https://www.who.int/antimicrobial-resistance/global-action-plan/en/
  3. Le Maréchal M, Tebano G, Monnier AA, Adriaenssens N, Gyssens IC, Huttner B, et al. Quality indicators assessing antibiotic use in the outpatient setting: a systematic review followed by an international multidisciplinary consensus procedure. J Antimicrob Chemother. 2018; 73(suppl_6): vi40-vi49.
  4. Monnier AA, Schouten J, Le Maréchal M, Tebano G, Pulcini C, Stanic Benic M, et al. Quality indicators for responsible antibiotic use in the inpatient setting: a systematic review followed by an international multidisciplinary consensus procedure. J Antimicrob Chemother. 2018; 73(suppl_6): vi30-vi39.
  5. Versporten A, Gyssens IC, Pulcini C, Monnier AA, Schouten J, Milanic R, et al. Metrics to assess the quantity of antibiotic use in the outpatient setting: a systematic review followed by an international multidisciplinary consensus procedure. J Antimicrob Chemother. 2018; 73(suppl_6): vi59-vi66.
  6. Stanic Benic M, Milanic R, Monnier AA, Gyssens IC, Adriaenssens N, Versporten A, et al. Metrics for quantifying antibiotic use in the hospital setting: results from a systematic review and international multidisciplinary consensus procedure. J Antimicrob Chemother. 2018; 73(suppl_6): vi50-vi58.
  7. Howard P, Huttner B, Beovic B, Beraud G, Kofteridis DP, Pano Pardo J, et al. ESGAP inventory of target indicators assessing antibiotic prescriptions: a cross-sectional survey. J Antimicrob Chemother. 2017;72(10):2910-4.  https://doi.org/10.1093/jac/dkx243  PMID: 29091207 
  8. L’Institut national de la statistique et des études économiques (INSEE). National Institute of Statistics and Economic Studies. Statistiques et études. [Statistics and studies]. Marseille: INSEE. [Accessed: 18 Oct 2019]. French. Available from: https://www.insee.fr/fr/statistiques
  9. World Health Organization (WHO) Collaborating Centre for Drug Statistics Methodology. ATC/DDD Index 2020. Oslo: WHO Collaborating Centre for Drug Statistics Methodology. [Accessed 7 Jul 2020]. Available from: https://www.whocc.no/atc_ddd_index/
  10. Infectiologie.com. [Internet]. Recommandations. [Recommendations]. Infectiologie.com. [Accessed 18 Oct 2019]. French. Available from: https://www.infectiologie.com/fr/recommandations.html
  11. Antibioclic. Antibiothérapie rationnelle en soins primaires. [Rational antibiotic therapy in primary care]. Paris: Université Paris Diderot. [Accessed: 18 Oct 2019]. French. Available from: https://antibioclic.com
  12. Chidiac C on behalf of Groupe de Travail de la SPILF. Mise au point sur le bon usage des fluoroquinolones administrées par voie systémique chez l’adulte (ciprofloxacine, lévofloxacine, moxifloxacine, norfloxacine, ofloxacine, péfloxacine). [Focus on the good use of systemic fluoroquinolones administered in adults (ciprofloxacin, levofloxacin, moxifloxacin, norfloxacin, ofloxacin, pefloxacin)]. Infectiologie.com. [Accessed: 18 Oct 2019]. French. Available from: http://www.infectiologie.com/UserFiles/File/medias/Recos/2015-MAP-fluoroquinolones-SPILF.pdf
  13. Treibich C, Lescher S, Sagaon-Teyssier L, Ventelou B. The expected and unexpected benefits of dispensing the exact number of pills. PLoS One. 2017;12(9):e0184420.  https://doi.org/10.1371/journal.pone.0184420  PMID: 28926636 
  14. Coenen S, Ferech M, Haaijer-Ruskamp FM, Butler CC, Vander Stichele RH, Verheij TJ, et al. European Surveillance of Antimicrobial Consumption (ESAC): quality indicators for outpatient antibiotic use in Europe. Qual Saf Health Care. 2007;16(6):440-5.  https://doi.org/10.1136/qshc.2006.021121  PMID: 18055888 
  15. European Centre for Disease Prevention and Control (ECDC). Quality indicators for antibiotic consumption in the community. Stockholm: ECDC. [Accessed: 18 Oct 2019]. Available from: https://ecdc.europa.eu/en/antimicrobial-consumption/database/quality-indicators
  16. Nathwani D, Sneddon J, Patton A, Malcolm W. Antimicrobial stewardship in Scotland: impact of a national programme. Antimicrob Resist Infect Control. 2012;1(1):7.  https://doi.org/10.1186/2047-2994-1-7  PMID: 22958296 
  17. Haute Autorité de santé (HAS; High Authority of Health). Prise en charge de la fièvre chez l'enfant. Recommandation de bonne pratique. [Management of fever in children. Good practice recommendation]. Saint-Denis: HAS. [Accessed 18 Oct 2019]. French. Available from: https://www.has-sante.fr/portail/jcms/c_2674284/fr/prise-en-charge-de-la-fievre-chez-l-enfant
  18. Zanichelli V, Monnier AA, Gyssens IC, Adriaenssens N, Versporten A, Pulcini C, et al. Variation in antibiotic use among and within different settings: a systematic review. J Antimicrob Chemother. 2018; 73(suppl_6):vi17-vi29.
  19. OSCAR network. Données de consommation d’antibiotiques et de résistance bactérienne en ville: résultats 2016. [Data on antibiotic consumption and bacterial resistance in the community: 2016 results]. Centre d'appui pour la Prévention des Infections Associées aux Soins Bourgogne-Franche-Comté. [Accessed 18 Oct 2019]. French. Available from: https://www.cpiasbfc.fr/surveillance/oscar/oscar_rapport_ville_2016.pdf
  20. Pulcini C, Lions C, Ventelou B, Verger P. Drug-specific quality indicators assessing outpatient antibiotic use among French general practitioners. Eur J Public Health. 2013;23(2):262-4.  https://doi.org/10.1093/eurpub/cks100  PMID: 22843612 
  21. Public Health England (PHE). Fingertips initiative. London: PHE. [Accessed: 18 Oct 2019]. Available from: https://fingertips.phe.org.uk
  22. Pulcini C, Lions C, Ventelou B, Verger P. Approaching the quality of antibiotic prescriptions in primary care using reimbursement data. Eur J Clin Microbiol Infect Dis. 2013;32(3):325-32.  https://doi.org/10.1007/s10096-012-1743-2  PMID: 22983401 
  23. Pulcini C, Lions C, Ventelou B, Verger P. Indicators show differences in antibiotic use between general practitioners and paediatricians. Eur J Clin Microbiol Infect Dis. 2013;32(7):929-35.  https://doi.org/10.1007/s10096-013-1828-6  PMID: 23361400 
  24. Hemkens LG, Saccilotto R, Reyes SL, Glinz D, Zumbrunn T, Grolimund O, et al. Personalized Prescription Feedback Using Routinely Collected Data to Reduce Antibiotic Use in Primary Care: A Randomized Clinical Trial. JAMA Intern Med. 2017;177(2):176-83.  https://doi.org/10.1001/jamainternmed.2016.8040  PMID: 28027333 
  25. Ivers N, Jamtvedt G, Flottorp S, Young JM, Odgaard-Jensen J, French SD, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012;6(6):CD000259.  https://doi.org/10.1002/14651858.CD000259.pub3  PMID: 22696318 
  26. Meeker D, Linder JA, Fox CR, Friedberg MW, Persell SD, Goldstein NJ, et al. Effect of Behavioral Interventions on Inappropriate Antibiotic Prescribing Among Primary Care Practices: A Randomized Clinical Trial. JAMA. 2016;315(6):562-70.  https://doi.org/10.1001/jama.2016.0275  PMID: 26864410 
  27. L’Assurance maladie en ligne (Online health insurance). Rapports charges & produits de l'Assurance Maladie. [Health insurance report on costs & products]. Online health insurance. [Accessed: 3 Oct 2019]. French. Available from: https://www.ameli.fr/l-assurance-maladie/statistiques-et-publications/rapports-et-periodiques/rapports-charges-produits-de-l-assurance-maladie/index.php
  28. Balinskaite V, Johnson AP, Holmes A, Aylin P. The impact of a national antimicrobial stewardship programme on antibiotic prescribing in primary care: an interrupted time series analysis. Clin Infect Dis. 2019.
  29. Balinskaite V, Bou-Antoun S, Johnson AP, Holmes A, Aylin P. An assessment of potential unintended consequences following a national antimicrobial stewardship programme in England: an interrupted time series analysis. Clin Infect Dis. 2019.
  30. Johnson AP, Muller-Pebody B, Budd E, Ashiru-Oredope D, Ladenheim D, Hain D, et al. Improving feedback of surveillance data on antimicrobial consumption, resistance and stewardship in England: putting the data at your Fingertips. J Antimicrob Chemother. 2017;72(4):953-6. PMID: 27999049 
  31. World Health Organization (WHO) Collaborating Centre for Drug Statistics Methodology. Definition and general considerations. Oslo: WHO Collaborating Centre for Drug Statistics Methodology. [Accessed 7 Jul 2020]. Available from: https://www.whocc.no/ddd/definition_and_general_considera/
  32. European Centre for Disease Prevention and Control (ECDC). European Surveillance of Antimicrobial Consumption Network (ESAC-Net). Stockholm: ECDC. [Accessed: 18 Oct 2019]. Available from: https://ecdc.europa.eu/en/about-us/partnerships-and-networks/disease-and-laboratory-networks/esac-net
  33. Smieszek T, Pouwels KB, Dolk FCK, Smith DRM, Hopkins S, Sharland M, et al. Potential for reducing inappropriate antibiotic prescribing in English primary care. J Antimicrob Chemother. 2018; 73(suppl_2): ii36-ii43.
  34. Livorsi DJ, Linn CM, Alexander B, Heintz BH, Tubbs TA, Perencevich EN. The Value of Electronically Extracted Data for Auditing Outpatient Antimicrobial Prescribing. Infect Control Hosp Epidemiol. 2018;39(1):64-70.  https://doi.org/10.1017/ice.2017.250  PMID: 29283076 
  35. Smith DRM, Dolk FCK, Pouwels KB, Christie M, Robotham JV, Smieszek T. Defining the appropriateness and inappropriateness of antibiotic prescribing in primary care. J Antimicrob Chemother. 2018; 73(suppl_2): ii11-ii18.
  36. Demoré B, Le Govic D, Thilly N, Boivin JM, Pulcini C. Reliability of self-reported recent antibiotic use among the general population: a cross-sectional study. Clin Microbiol Infect. 2017;23(7):486.e7-12.  https://doi.org/10.1016/j.cmi.2017.01.006  PMID: 28110051 
  37. Campbell SM, Braspenning J, Hutchinson A, Marshall M. Research methods used in developing and applying quality indicators in primary care. Qual Saf Health Care. 2002;11(4):358-64.  https://doi.org/10.1136/qhc.11.4.358  PMID: 12468698 
  38. van den Bosch CMA, Hulscher MEJL, Natsch S, Wille J, Prins JM, Geerlings SE. Applicability of generic quality indicators for appropriate antibiotic use in daily hospital practice: a cross-sectional point-prevalence multicenter study. Clin Microbiol Infect. 2016;22(10):888.e1-9.  https://doi.org/10.1016/j.cmi.2016.07.011  PMID: 27432770 
/content/10.2807/1560-7917.ES.2020.25.27.1900468
Loading

Data & Media loading...

Supplementary data

Submit comment
Close
Comment moderation successfully completed
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error