How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France
| Autor: | Stordeur, Florence, Miliani, Katiuska, Lacavé, Ludivine, Rogues, Anne-Marie, Dumartin, Catherine, Alfandari, Serge, Astagneau, Pascal, L'Hériteau, François, Bertrand, X, Boussat, S, Crémieux, A-C, Dugravot, L, Ingels, A, Rémy, E, Schlemmer, B, Touratier, S, Bajolet, O, Bernet, C, Bervas, C, Coignard, B, Dégéfa, M, Gautier, C, Garreau, N, Giard, M, Jarno, P, Hoff, O, Lamy, M, Léon, L, Machut, A, Migueres, B, Péfau, M, Simon, L, Thiolet, J-M, Vaux, S, Verjat-Trannoy, D |
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| Přispěvatelé: | centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy], Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier de Tourcoing, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Correlation coefficient business.industry medicine.drug_class [SDV]Life Sciences [q-bio] 030106 microbiology Antibiotics Prevalence 3. Good health Correlation 03 medical and health sciences 0302 clinical medicine AcademicSubjects/MED00290 Ranking Acute care Environmental health Cohort medicine AcademicSubjects/MED00740 Original Article 030212 general & internal medicine Antibiotic use business AcademicSubjects/MED00230 |
| Zdroj: | JAC-Antimicrobial Resistance JAC-Antimicrobial Resistance, 2020, 2 (3), pp.dlaa059. ⟨10.1093/jacamr/dlaa059⟩ |
| ISSN: | 2632-1823 |
| Popis: | Background Antibiotic use (ABU) surveillance in healthcare facilities (HCFs) is essential to guide stewardship. Two methods are recommended: antibiotic consumption (ABC), expressed as the number of DDD/1000 patient-days; and prevalence of antibiotic prescription (ABP) measured through point prevalence surveys. However, no evidence is provided about whether they lead to similar conclusions. Objectives To compare ABC and ABP regarding HCF ranking and their ability to identify outliers. Methods The comparison was made using 2012 national databases from the antibiotic surveillance network and prevalence study. HCF rankings according to each method were compared with Spearman’s correlation coefficient. Analyses included the ABU from entire HCFs as well as according to type, clinical ward and by antibiotic class and specific molecule. Results A total of 1076 HCFs were included. HCF rankings were strongly correlated in the whole cohort. The correlation was stronger for HCFs with a higher number of beds or with a low or moderate proportion of acute care beds. ABU correlation between ABC or ABP was globally moderate or weak in specific wards. Furthermore, the two methods did not identify the same outliers, whichever HCF characteristics were analysed. Correlation between HCF ranking varied according to the antibiotic class. Conclusions Both methods ranked HCFs similarly overall according to ABC or ABP; however, major differences were observed in ranking of clinical wards, antibiotic classes and detection of outliers. ABC and ABP are two markers of ABU that could be used as two complementary approaches to identify targets for improvement. |
| Databáze: | OpenAIRE |
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