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Antibiotic consumption in hospitals:
hospital sector definition in France
Acute care hospitals and others…
February 2015
Surveillance ATB-RAISIN in France
• Objectives
 To describe antibiotic consumption in French HCF at
hospital and at ward level
• tool for benchmarking
• analysis of consumption data against antimicrobial resistance rates
• improvement at the hospital level and at the national level
 To monitor trends
Hospital sector in France ?
Different kind of HCF
• Hospitals, public or private,
with inpatients +/- outpatients
• Home-care hospitals (HAD)
 Part of conventional hospitals
• Dialysis centers
• Others…
Type N
CHUniversity 81
CH
% acute care beds from 0 to100% 570
MCO 669
CLCC 20
HIA 9
ESSR 738
LOC now CH 255
ESLD 46
PSY 247
Total 2 636
• LTCF are not nursing homes
 LTCF providing « little » medical care became
« nursing homes »
Data collection in the hospital
sector
• ESAC-Net
 Hospital sector as a
whole (100%): sales
data from ANSM
• ATB-Raisin
 Hospital-based
 Voluntarily
participation (1488 in
2013)
Data collection in the hospital sector
• Scope of surveillance : All HCF with inpatients
 HCF performing acute care
• Teaching or not, public or private
May include non acute care wards
• Specialised in cancer treatment
 AND HCF performing non acute care
• rehabilitation centres, long term-care HCF (not NH),
psychiatric centres
Data collection in the hospital sector
• In the participating HCF: Inpatients only
• Outpatient, day-care, dialysis excluded
• Detailed by ward/clinical activity (76% of HCF)
 Acute care = Medicine, Surgery, ICU, gyneacology, and
paediatrics
 Non acute care = rehabilitation, long-term care &
psychiatry
Data collection in the hospital sector
• Rationale for scope of surveillance
• All HCF: information on prudent antibiotic use
First step before tailored activity to ensure prudent use of AB
• Inpatients only: in accordance to denominator
Outpatients wards: not all HCF
ATB-Raisin participants
Type N n %
CHU 81 40 49
CH 570 393 69
MCO 669 423 63
CLCC 20 13 65
HIA 10 8 80
ESSR 738 342 46
LOC 255 125 49
ESLD 46 18 39
PSY 247 126 51
Total 2 636 1 488 56
ATB-Raisin participants
Type n No. PD %
CHU 40 11 513 046 14%
CH 393 35 722 232 43%
MCO 423 13 594 617 16%
CLCC 13 436 422 1%
HIA 8 465 618 1%
ESSR 342 10 154 373 12%
LOC 125 2 099 228 3%
ESLD 18 417 964 1%
PSY 126 8 305 309 10%
Total 1 488 82 708 809 100%
Data collection in the hospital sector
• Antibiotics for systemic use
 Dispensed by the pharmacy for inpatients only
NB: no dispensing for discharged patients in France
• Administrative data
 Denominator consistent with scope of surveillance
• number of patients-days (PD) for inpatients only
 “Journée d’hospitalisation” for stay > 24 h
(different from « one-day stay » < 24h)
• number of “direct” admissions (acute care only)
 Only one admission for one patient admitted for at least 24 h, even if transferred from
ICU to medicine
• Administrative definitions for “Journée d’hospitalisation” and “direct admission”
Data presentation
• Antibiotic consumption:
 global use (pooled or weighted mean)
 and distribution in no. DDD/ 1000 PD (and /100 AD for
acute care wards)
 According to HCF type
 According to ward/clinical activity
• (very) detailed tables
020040060080010001200
Teaching
hospital
N=40
Non
teaching
public
hospital<=33
N=73
Non
teaching
public
hospital>33
N=320
Non
teaching
private
hospital
N=423
Cancer
hospital
N=13
Military
hospital
N=8
Rehab
centre
N=342
Local
hospital
N=125
Long
term
care
N=18
Psychiatric
hospital
N=126
NumberofDDD/1000PD
Data presentation: ATB RAISIN, 2013
• Total antibiotic use in 1 488 HCF: 377 DDD/1000 PD
 Variations in total antibiotic use according to HCF type
Outlier
Highest value still within
P75+1,5(P75-P25)
P75
Pooled mean
Median
P25
Lowest value still within
P25-1,5(P75-P25)
020040060080010001200
>66%
N=597
]33-66%]
N=222
]0-33%]
N=148
0%
N=521
% of acute care beds
NumberofDDD/1000PD
Data presentation: ATB RAISIN, 2013
• Total antibiotic use in 1 488 HCF
 Variations in antibiotic use / % acute care beds
Outlier
Highest value still within
P75+1,5(P75-P25)
P75
Pooled mean
Median
P25
Lowest value still within
P25-1,5(P75-P25)
0100020003000
Medicine
N=560
Hematology
N=25
Infectious
diseases
N=13
Surgery
N=447
Intensive
care
N=178
Gynae-
cology
N=296
Paediatrics
N=205
Rehabi-
litation
N=758
Long
term care
N=304
Psychiatry
N=211
NumberofDDD/1000PD
Data presentation: ATB RAISIN, 2013
 Variations in total antibiotic use according to ward/clinical activity
Esac-Net hospital based survey
 Objectives
• Comparisons of patterns, quantity between hospitals from
different countries
 Relevant settings for comparisons
• acute care wards, ICUs?
• Including paediatrics?
• Inpatients only?
 Challenges: exclusion of non acute care wards, of
outpatients…
More information on antibiotic use in French hospitals
http://www.invs.sante.fr/raisin
http://www.cclin-arlin.fr/

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Antibiotic consumtion in hospitals. Catherine Dumartin (France)

  • 1. vvvv Antibiotic consumption in hospitals: hospital sector definition in France Acute care hospitals and others… February 2015
  • 2. Surveillance ATB-RAISIN in France • Objectives  To describe antibiotic consumption in French HCF at hospital and at ward level • tool for benchmarking • analysis of consumption data against antimicrobial resistance rates • improvement at the hospital level and at the national level  To monitor trends
  • 3. Hospital sector in France ? Different kind of HCF • Hospitals, public or private, with inpatients +/- outpatients • Home-care hospitals (HAD)  Part of conventional hospitals • Dialysis centers • Others… Type N CHUniversity 81 CH % acute care beds from 0 to100% 570 MCO 669 CLCC 20 HIA 9 ESSR 738 LOC now CH 255 ESLD 46 PSY 247 Total 2 636
  • 4. • LTCF are not nursing homes  LTCF providing « little » medical care became « nursing homes »
  • 5. Data collection in the hospital sector • ESAC-Net  Hospital sector as a whole (100%): sales data from ANSM • ATB-Raisin  Hospital-based  Voluntarily participation (1488 in 2013)
  • 6. Data collection in the hospital sector • Scope of surveillance : All HCF with inpatients  HCF performing acute care • Teaching or not, public or private May include non acute care wards • Specialised in cancer treatment  AND HCF performing non acute care • rehabilitation centres, long term-care HCF (not NH), psychiatric centres
  • 7. Data collection in the hospital sector • In the participating HCF: Inpatients only • Outpatient, day-care, dialysis excluded • Detailed by ward/clinical activity (76% of HCF)  Acute care = Medicine, Surgery, ICU, gyneacology, and paediatrics  Non acute care = rehabilitation, long-term care & psychiatry
  • 8. Data collection in the hospital sector • Rationale for scope of surveillance • All HCF: information on prudent antibiotic use First step before tailored activity to ensure prudent use of AB • Inpatients only: in accordance to denominator Outpatients wards: not all HCF
  • 9. ATB-Raisin participants Type N n % CHU 81 40 49 CH 570 393 69 MCO 669 423 63 CLCC 20 13 65 HIA 10 8 80 ESSR 738 342 46 LOC 255 125 49 ESLD 46 18 39 PSY 247 126 51 Total 2 636 1 488 56
  • 10. ATB-Raisin participants Type n No. PD % CHU 40 11 513 046 14% CH 393 35 722 232 43% MCO 423 13 594 617 16% CLCC 13 436 422 1% HIA 8 465 618 1% ESSR 342 10 154 373 12% LOC 125 2 099 228 3% ESLD 18 417 964 1% PSY 126 8 305 309 10% Total 1 488 82 708 809 100%
  • 11. Data collection in the hospital sector • Antibiotics for systemic use  Dispensed by the pharmacy for inpatients only NB: no dispensing for discharged patients in France • Administrative data  Denominator consistent with scope of surveillance • number of patients-days (PD) for inpatients only  “Journée d’hospitalisation” for stay > 24 h (different from « one-day stay » < 24h) • number of “direct” admissions (acute care only)  Only one admission for one patient admitted for at least 24 h, even if transferred from ICU to medicine • Administrative definitions for “Journée d’hospitalisation” and “direct admission”
  • 12. Data presentation • Antibiotic consumption:  global use (pooled or weighted mean)  and distribution in no. DDD/ 1000 PD (and /100 AD for acute care wards)  According to HCF type  According to ward/clinical activity • (very) detailed tables
  • 13. 020040060080010001200 Teaching hospital N=40 Non teaching public hospital<=33 N=73 Non teaching public hospital>33 N=320 Non teaching private hospital N=423 Cancer hospital N=13 Military hospital N=8 Rehab centre N=342 Local hospital N=125 Long term care N=18 Psychiatric hospital N=126 NumberofDDD/1000PD Data presentation: ATB RAISIN, 2013 • Total antibiotic use in 1 488 HCF: 377 DDD/1000 PD  Variations in total antibiotic use according to HCF type Outlier Highest value still within P75+1,5(P75-P25) P75 Pooled mean Median P25 Lowest value still within P25-1,5(P75-P25)
  • 14. 020040060080010001200 >66% N=597 ]33-66%] N=222 ]0-33%] N=148 0% N=521 % of acute care beds NumberofDDD/1000PD Data presentation: ATB RAISIN, 2013 • Total antibiotic use in 1 488 HCF  Variations in antibiotic use / % acute care beds Outlier Highest value still within P75+1,5(P75-P25) P75 Pooled mean Median P25 Lowest value still within P25-1,5(P75-P25)
  • 16. Esac-Net hospital based survey  Objectives • Comparisons of patterns, quantity between hospitals from different countries  Relevant settings for comparisons • acute care wards, ICUs? • Including paediatrics? • Inpatients only?  Challenges: exclusion of non acute care wards, of outpatients…
  • 17. More information on antibiotic use in French hospitals http://www.invs.sante.fr/raisin http://www.cclin-arlin.fr/