Hand hygiene: A key determinant of antimicrobial...

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Hand hygiene: A key determinant of antimicrobial resistance in European Hospitals European Centre for Disease Prevention and Control Carl Suetens, Antimicrobial Resistance and Healthcare-Associated Infections (ARHAI) Programme, ECDC EAAD 2019, Madrid, 18 Nov 2019

Transcript of Hand hygiene: A key determinant of antimicrobial...

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Hand hygiene: A key determinant of antimicrobial resistance in European Hospitals

European Centre for Disease Prevention and Control

Carl Suetens, Antimicrobial Resistance and Healthcare-Associated Infections (ARHAI) Programme, ECDC

EAAD 2019, Madrid, 18 Nov 2019

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Importance of hand hygiene

• Every year, approximately 4 million patients acquire an infection while receiving care in European acute care hospitals1

• An estimated 90 000 patients die every year from these infections2

• Hands are the main pathways of germ transmission during healthcare

• Hand hygiene is therefore the most important measure to avoid the transmission of harmful germs and prevent healthcare-associatedinfections (HAIs)

Source: European Centre for Disease Prevention and Control (ECDC) – ECDC PPS in acute care hospitals(1) Suetens C, et al. Eurosurveillance 15 November 2018. (2) Cassini A, Plachouras D, et al. PLoS Med 2016;13(10):e1002150 – 6 major types of HAI included

2

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WHO SAVE LIVES Clean your hands 5 May

3

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Who, how?

• Any health-care worker, caregiver or person involved in patient care needs to be concerned about hand hygiene

• Alcohol-based handrub (AHR) is the preferred solution for routine hand antisepsis: more effective, faster, better tolerated

• Hand washing with water and soap:• When hands are visibly dirty or soiled with body fluids

• After exposure to spore-forming pathogens, e.g. C. difficile

Source: WHO Guidelines on Hand Hygiene in Health Care, 2009. 4

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The “My 5 Moments for Hand Hygiene” approach

Source: WHO Guidelines on Hand Hygiene in Health Care, 2009. 5

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How to handrub

Source: WHO Guidelines on Hand Hygiene in Health Care, 2009. 6

To effectively reduce the

growth of germs on hands,

handrubbing must be

performed by following all of

the illustrated steps.

This takes only 20–30

seconds!

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Factors influencing adherence to hand hygiene practices

• WHO hand hygiene guidelines:• Doctors less than nurses

• Intensity of patient care (ICU), high workload and understaffing

• Lack of knowledge, lack of awareness of transmission risk

• Inaccessible hand hygiene supplies

• Insufficient time for hand hygiene

• Skin irritation, wearing of gloves

• PROHIBIT study: • High income country

• National programme training of Infection Prevention and Control nurses

Source: WHO Guidelines on Hand Hygiene in Health Care, 2009; Hansen et al. PROHIBIT study (2011-2012), CMI 2017 7

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Source: WHO Guidelines on Hand Hygiene in Health Care, 2009. 8

Based on the evidence and recommendations from the WHO Guidelines on Hand Hygiene in Health Care (2009), a number of components make up an effective multimodal strategy for hand hygiene

WHO Multimodal Hand Hygiene Improvement Strategy

ONE System change

Readily accessible alcohol-based handrub at the point of care

TWO Training / Education

Providing regular training to all healthcare workers

THREE Evaluation and feedback Monitoring hand hygiene practices, infrastructure, perceptions and

knowledge, while providing results feedback to health-care workers

FOUR Reminders in the workplace

Prompting and reminding health-care workers

FIVE Institutional safety climate

Creating an environment and the perceptions that facilitate

awareness-raising about patient safety issues

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ECDC PPS 2016-2017

• 29 countries

• 2257 hospitals

• Sample:

• 1274 hospitals

• 325 737 patients

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ECDC PPS 2016-2017 indicators of WHO core components of infection prevention and control (IPC) programmes

Adapted from ECDC point prevalence survey of healthcare-associated infections and antimicrobial use in European acute care hospitals. Protocol version 5.3. 10

WHO Core Component Description ECDC PPS hospital indicators

1Infection prevention and control (IPC) programme

An effective IPC programme in an acute care hospital must include at least: one full-time specifically trained IPC-nurse ≤ 250 beds; a dedicated physician trained infection control; microbiological support; data management support

FTE IPC nurses and doctors IPC plan and report approved by hospital CEO Number of blood cultures, stool tests for CDI Microbiology services during weekends

2 IPC guidelinesEvidence-based guidelines + education, training of relevant health care workers and monitoring of adherence with guidelines

Presence of guidelines, audit and checklist for prevention of PN, BSI, UTI, SSI and for antimicrobial stewardship (as part of multimodal strategy, in ICU and hospital-wide)

3 IPC education and trainingIPC education and training involves frontline staff, and is team- and task-oriented

Presence of training in prevention of PN, BSI, UTI, SSI and antimicrobial stewardship (as part of multimodal strategy, ICU and hospital-wide)

4 SurveillanceParticipating in prospective surveillance and offering active feedback, preferably as part of a network

Participation in ICU, SSI, CDI, AMR and AMC surveillance networks

Surveillance as part of multimodal strategy

5 Multimodal strategiesImplementing infection control programmes follow a multimodal strategy including tools such as bundles and checklists developed by multidisciplinary teams and taking into account local conditions

Presence of guideline, bundle, training, checklist, audit, surveillance, feedback for prevention of PN, BSI, UTI, SSI and for antimicrobial stewardship

6Monitoring/audit of IPC practices and feedback

Organising audits as a standardized (scored) and systematic review of practice with timely feedback

Number of hand hygiene observations Alcohol hand rub consumption Audit and feedback as part of multimodal strategy

7Workload, staffing and bed occupancy

To make sure that the ward occupancy does not exceed the capacity for which it is designed and staffed; staffing and workload of frontline health-care workers must be adapted to acuity of care; and the number of pool/agency nurses and physicians minimized

Bed occupancy at midnight FTE registered nurses, hospital-wide and ICU FTE nursing assistants, hospital-wide and ICU

8Built environment, materials and equipment for IPC at the facility level

Sufficient availability of and easy access to material and equipment and optimized ergonomics; adequate number of single rooms (preferably with private toilet facilities) and/or rooms suitable for patient cohorting for the isolation of suspected /infected patients, including those with TB and multidrug-resistant organisms, to prevent transmission to other patients, staff and visitors

Alcohol hand rub dispensers at point of care+ carriage of AHR bottles by health-care workers

Number of single rooms Number of single rooms with toilet and shower Number of airborne infection isolation rooms

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Composite index1 of antimicrobial resistance (AMR) in healthcare-associated infections from acute care hospitals, EU/EEA countries and Serbia, 2016-2017

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1Percentage of isolates resistant to first-level antimicrobial resistance markers in healthcare-associated infections, i.e.:- Staphylococcus aureus resistant to meticillin (MRSA), - Enterococcus faecium and Enterococcus faecalis resistant

to vancomycin, - Enterobacteriaceae resistant to third-generation

cephalosporins, - Pseudomonas aeruginosa and Acinetobacter baumannii

resistant to carbapenems.Adapted from: Suetens C, et al. Eurosurveillance 15 November 2018.

* Bulgaria and the Netherlands: poor national representativeness of acute care hospital sample; ** Norway: national protocol; Norway and UK-Scotland did not collect microbiological data; Denmark and Sweden did not participate.

EARS-Net 2016

PP

S a

cu

te c

are

ho

sp

ita

ls 2

01

6-2

01

7

**

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<5

5 to <20

20 to <35

35 to <50

>=50

No data

Not invited

Resistant isolates (%)

EU/EEA:31.6%

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Prevalence of antimicrobial use and change of antimicrobials, ECDC PPS 2016-2017

12

* Bulgaria, the Netherlands: poor national representativeness of acute care hospital sample; ** Norway: national protocol.

**

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<30

30 to <35

35 to <40

40 to <45

>=45

Did not participate

Not invited

Patients onantimicrobials (%)

Adapted from: Plachouras D, et al. Eurosurveillance 15 November 2018.

EU/EEA country-weighted

prevalence:30.5% (range

15.9-55.6)

0 20 40 60 80 100Percentage of antimicrobials

UK-Scotland

UK-Northern Ireland

UK-England

Spain

Slovenia

Slovakia

Serbia

Romania

Portugal

Poland

Netherlands*

Malta

Luxembourg

Lithuania

Latvia

Italy

Ireland

Iceland

Hungary

Germany

France

Finland

Estonia

Czech Republic

Cyprus

Croatia

Bulgaria*

Belgium

Austria

No change

Escalation

De-escalation

Switch IV to Oral

Adverse Effects

Other/unknown reason for change

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ATBE

BG

HR

CY

CZ

EE

FI

FR

DE

HU

IS

IE

IT

LV

LT

LU

MT

NL

PL

PT

RO

RS

SK

SI

ESUK-EN

UK-NI

020

40

60

80

Com

posi

te index o

f AM

R

(% o

f re

sist

ant

isola

tes)

0 10 20 30 40

Percentage antimicrobials changed during treatment

Countries with a higher prevalence of antibiotic use have a higher composite index of AMR, but countries with more frequent review and change of antibiotic prescriptions have a lower composite index of AMR

Source: ECDC point prevalence survey in European acute care hospitals, 2016-2017 (preliminary, unpublished results).

r = –0.65p = 0.0002

AT

BE

BG

HR

CY

CZ

EEFI

FRDE

EL

HU

IS

IE

IT

LV

LT

LU

MT

NL

PL PT

RO

RS

SK

SI

ES

UK-EN

UK-NI

UK-WA

020

40

60

80

Com

posi

te index o

f AM

R

(% o

f re

sist

ant

isola

tes)

20 30 40 50 60

Patients receiving >=1 antimicrobial (%)

r = 0.51p = 0.004

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Hand hygiene: Alcohol hand rub consumption (L/1000 patient-days)

Source: ECDC PPSs in European acute care hospitals, 2011-2012 & 2016-2017 (preliminary, unpublished results). 14

2011-2012

*poor country representativeness

2016-2017

**

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<10

10-19.9

20-29.9

30-39.9

>=40

No data

Not included

Alcohol hand rubconsumption(L/1000 patient days)

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Beds with alcohol hand rub dispensers at point of care (%)

05

10

15

20

25

Me

dia

n A

HR

con

sum

ption

(L

/100

0 p

atie

nt-

da

ys)

<50% beds with AHR >=50% beds with AHR

<25% HCW >=25% HCW <25% HCW >=25% HCW

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<10

10 to <20

20 to <50

50 to <90

>=90

No data

Not invited

Beds with AHR dispenserat point of care (%)

Source: ECDC PPS 2016-2017, unpublished results

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Countries with higher consumption of alcohol-based handrubhave a lower composite index of AMR

Source: ECDC point prevalence survey in European acute care hospitals, 2016-2017 (preliminary, unpublished results).

AT

BE

BG

CY

DEEE

ES

FI

HR

HU

IE

IS

IT

LT

LU

LV

MT

PLPT

RO

RS

SI

SK

UK-EN

UK-NI

020

40

60

80

Com

posi

te index o

f AM

R

(% o

f re

sist

ant

isola

tes)

0 20 40 60 80 100

Beds with alcohol hand rub dispenser at point of care (%)

r = –0.57p = 0.003

AT

BE

BG

CY

CZ

DEEE

EL

ES

FI

FR

HRHU

IE

IS

IT

LT

LU

LV

MT

NL

PL

PT

RO

RS

SI

SK

UK-ENUK-NI

UK-WA

020

40

60

80

Com

posi

te index o

f AM

R

(% o

f re

sist

ant

isola

tes)

0 20 40 60

Median alcohol-based handrub consumption(litres/1000 patient-days)

r –CY/EL= –0.65p < 0.001

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Countries with higher isolation capacity (single rooms) have a lower composite index of AMR

Source: ECDC PPSs in European acute care hospitals, 2016-2017 (preliminary, unpublished results). 17

*poor country representativeness

AT

BE

BG

HR

CY

EE

FI

FRDE

EL

HU

IS

IE

IT

LV

LT

LU

MT

NL

PL PT

RO

RS

SK

SI

ES

UK-EN

UK-NI

UK-WA

020

40

60

80

Com

posi

te index o

f AM

R

(% o

f re

sist

ant

isola

tes)

0 20 40 60

Beds in single rooms (%)

r = –0.65p = 0.0001

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<5

5 to <10

10 to <20

20 to <30

>=30

No data

Not invited

Single-room beds (%)

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Hospitals with more infection prevention and control nurses (FTE IPCN per 250 beds) have a lower composite index of AMR

*poor representativeness, **Norway 2017: national PPS protocol2016-2017 data are preliminary.

**

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<0.50

0.50 to <0.75

0.75 to <1.00

1.00 to <1.25

>=1.25

No data

Not invited

Infection preventionand control nurses(Median FTE/250 beds)

Source: ECDC PPSs in European acute care hospitals, 2016-2017 (preliminary, unpublished results).

0 20 40 60 80 100

Composite index of AMR (% R isolates)

>=2.00

1.50-<2.00

1.00-<1.50

0.50-<1.00

>0-<0.50

0

N o

f IP

CN

FTE p

er

250 b

eds

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Correlation blood culture use rate with composite index of antimicrobial resistance1, ECDC PPS 2016-2017

Source ECDC PPS 2016-2017 - composite index AMR: Eurosurveillance 15 November 2018.19

AT

BE

BG

CY

CZ

DE

EE

ES

FI

FR

HR

HU

IE

IS

IT

LT

LU

LV

MT

PLPT

RO

RS

SI

SK

UK-EN

UK-NI

UK-WA

020

40

60

80

Com

posi

te index o

f AM

R

(% o

f re

sist

ant

isola

tes)

0 20 40 60 80

N blood cultures/1000 patient-days

ρ=-0.40p<0.05

1Percentage of isolates resistant to first-level antimicrobial resistance markers in healthcare-associated infections, i.e.:- Staphylococcus aureus resistant to meticillin (MRSA), - Enterococcus faecium and Enterococcus faecalis resistant

to vancomycin, - Enterobacteriaceae resistant to third-generation

cephalosporins, - Pseudomonas aeruginosa and Acinetobacter baumannii

resistant to carbapenems.

Good compliance with indication for blood culturevs

Blood culture when empiric treatment fails

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Correlations composite index of AMR in acute care hospitals

20

02

04

06

08

0

Co

mp

osite

ind

ex o

f A

MR

(% o

f re

sis

tant is

ola

tes)

10 20 30 40 50 60

Patients receiving >=1 J01 antibiotic (%)

02

04

06

08

0

Co

mp

osite

ind

ex o

f A

MR

(% o

f re

sis

tant is

ola

tes)

0 10 20 30 40

Antibiotic prescriptions (J01) reviewed andchanged during treatment (%)

02

04

06

08

0

Co

mp

osite

ind

ex o

f A

MR

(% o

f re

sis

tant is

ola

tes)

0 20 40 60

Mean percentage of beds in single rooms

02

04

06

08

0

Co

mp

osite

ind

ex o

f A

MR

(% o

f re

sis

tant is

ola

tes)

0 20 40 60 80 100

Beds with alcohol hand rub dispenser at point of care (%)

Prevalence antimicrobial use Antimicrobials reviewed and changed (%)

Beds in single rooms (%) Beds with AHR dispensers (%)

FTE IPC nurses

0 20 40 60 80 100

Composite index of AMR (% R isolates)

>=2.00

1.50-<2.00

1.00-<1.50

0.50-<1.00

>0-<0.50

0

N o

f IP

CN

FTE p

er

250 b

eds

Source: ECDC point prevalence survey in European acute care hospitals, 2016-2017 (preliminary, unpublished results).

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Multivariable analysis

Multiple ordinal logistic regression for determinants of composite index of AMR at hospital level (n=658 hospitals)

21

Regression coefficient P-value

IPC nurse staffing levels (FTE / 250 beds) -0.196 <0.001

AHR consumption (L/1000 patient-days) -0.010 <0.01

Beds in single rooms (% beds) -0.016 <0.001

Prevalence of antimicrobial use (% patients) 0.028 <0.001

Change of antimicrobials (% antimicrobials) -0.006 0.028

Case-mix severity (predicted HAI prevalence) 0.106 0.008

Blood culture use rate (N per 1000 pt-days) 0.000 0.944

Source: ECDC point prevalence survey in European acute care hospitals, 2016-2017 (preliminary, unpublished results).

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ECDC PPS 2016-2017: Hand hygiene and workload (nursing staffing levels and bed occupancy)

22

0 50 100 150Alcohol-based handrub consumption

(litres/1000 patient-days)

High staffing

Medium staffing

Low staffing

Low occupancy

High occupancy

Low occupancy

High occupancy

Low occupancy

High occupancy

Source: ECDC PPS 2016-2017, unpublished results

Staffing levels of registered nurses and nursing assistants:- Low: < 80 FTE / 100 beds- Medium: 80-129 FTE / 100 beds- High: ≥ 130 FTE / 100 beds

Bed occupancy- High: ≥ 75%- Low: <75%

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Workload: staffing (registered nurses and nursing assistants) and bed occupancy

23

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<60

60 to <80

80 to <100

100 to <150

>150

No data

Not invited

Registered nurses andnursing assistants(Median FTE per 100 beds)

Nursing staffing levels Bed occupancy

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<70

70 to <75

75 to <80

80 to <85

>85

No data

Not invited

Bed occupancy fromdenominator data (%)

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ECDC PPS 2016-2017: Hand hygiene and IPC nurses

N o

f IP

CN

FT

E p

er

25

0 b

ed

s

Source: ECDC PPS 2016-2017, unpublished results; IPCN: Infection Prevention and Control Nurses 24

0 50 100 150Alcohol-based handrub consumption

(litres/1000 patient-days)

>=1.50

1.00-<1.50

0.50-<1.00

>0-<0.50

0

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Conclusions

• Hand hygiene is an independent determinant of antimicrobial resistance in healthcare-associated infections in European hospitals, in addition to:• Antimicrobial use

• Antimicrobial stewardship

• IPC nurses staffing levels

• Isolation capacity

• Alcohol-based handrub (AHR) consumption in PPS associated with:• Workload: staffing levels of registered nurses and nursing assistants and

bed occupancy

• AHR dispensers at the point of care

• IPC nurses staffing levels

Source: ECDC PPS 2016-2017; IPCN: Infection Prevention and Control Nurses 25

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Source: WHO Guidelines on Hand Hygiene in Health Care, 2009. 26

Based on the evidence and recommendations from the WHO Guidelines on Hand Hygiene in Health Care (2009), a number of components make up an effective multimodal strategy for hand hygiene

WHO Multimodal Hand Hygiene Improvement Strategy

ONE System change

Readily accessible alcohol-based handrub at the point of care

TWO Training / Education

Providing regular training to all healthcare workers

THREE Evaluation and feedback Monitoring hand hygiene practices, infrastructure, perceptions and

knowledge, while providing results feedback to health-care workers

FOUR Reminders in the workplace

Prompting and reminding health-care workers

FIVE Institutional safety climate

Creating an environment and the perceptions that facilitate

awareness-raising about patient safety issues

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Specific recommendations from ECDC PPS 2016-2017

1) increasing IPC nurse staffing levels to (ideally) one IPC nurse per 100 occupied beds,

2) installing alcohol hand rub dispensers at point of care,

3) ensuring adequate nursing staffing levels in accordance with workload to improve hand hygiene compliance,

4) increasing the percentage of single rooms to improve isolation capacity,

5) increasing post-prescription review of antimicrobial treatment, deescalating when possible

6) ensuring dedicated time for antimicrobial stewardship consultancy

7) urgent need to harmonise and support microbiological diagnostic testing of HAIs in EU/EEA hospitals,

8) PPS methods: validation, training, numeric rather than `yes/no/unknown’ indicators, promote automated HAI surveillance

27

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28Source: Plachouras D, et al. Eurosurveillance 15 November 2018.

Proportion of broad-spectrum antibiotics in acute care hospitals, EU/EEA countries & Serbia, 2016–2017

Percentage of antibiotics (%)

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Proportion of antimicrobials used for medical prophylaxis

ECDC PPS 2016-2017 29

**

*

*

Liechtenstein

Luxembourg

Malta

Non-visible countries

<5

5 to <10

10 to <15

15 to <20

>=20

No data

Not invited

Medical prophylaxis(% of antimicrobials)

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Thank you!AcknowledgementsAustria: Elisabeth Presterl, Sneschana Neschkova, Magda Diab-Elschahawi, Luigi Segagni-Lusignani, Thomas Wrba, Cornelia GablerBelgium: Katrien Latour, Eline VandaelBulgaria: Elina Dobreva, Nadezhda Vladimirova, Ivan N. Ivanov, Martyn Nedyalkov, Rumyana Hristova, Alexander Hristov, Violeta VoynovaCroatia: Ana Budimir, Zrinka Bošnjak,Ivana Mareković, Vera KatalinicCyprus: Avgi Hadjiloukas, Linos Hadjihannas, Anna DemetriouCzechia: Vlastimil Jindrák, Dana Hedlová, Václav Vaniš, Martin Gašpárek, Lucie Bareková, Dana Němcová, Milostav Šťastník, Jan HorníkEstonia: Pille Märtin, Piret Mitt, Vivika Adamson, Mait Altmets, Mailis HansenFinland: Outi Lyytikäinen, Emmi Sarvukivi, Saija Toura, Dinah Arifulla, Teemu MöttönenFrance: Anne Berger-Carbonne, Côme Daniau, Yann Le Strat, Valérie Pontiès, Hervé Blanchard, Claude Bernet, Emmanuelle Caillat-Vallet, Martine Aupée, Sophie Glorion, Laurence Buoconore, Odile Bajolet, Serge Alfandari, Muriel Péfau, Loïc Simon, Julien ClaverGermany: Petra Gastmeier, Sonja Hansen, Brar Piening, Michael Behnke, Seven AghdassiGreece: A.Gikas, F.Kontopidou, E.Kritsotakis, E.Astrinaki, A.Messaritaki, M. Roumbelaki, E.Bolikas, M.Gika, S.Giannoulidou, M.Papadaki, A.Papadimitriou, A.Karaiskou, S.AsimakopoulosHungary: Emese Szilágyi, Andrea Kurcz, Ágnes Hajdu, Katalin Szeberényi, István Veress, Andrásné SzőnyiIceland: Olafur Gudlaugsson, Asdis Elfarsdottir, Asa Steinunn AtladottirIreland: Karen Burns, Helen Murphy, Stephen MurchanItaly: Carla Maria Zotti, Francesca Quattrocolo, Angelo D’Ambrosio, Maria Luisa MoroLatvia: Elina Dimina, Aija Vilde, Uga Dumpis, Mārīte KūlaLithuania: Juste Petrene, Virginija Kanapeckiene, Rolanda ValintelieneLuxembourg: Martine Debacker, Eliane Gelhausen, Aurélie Fischer, Valérie Etienne, Myriam Menster, Vic ArendtMalta: Michael A Borg, Elizabeth A Scicluna, Peter ZarbNetherlands: Emma Smid, Tjallie van der Kooi, Jan Wille, Kati Halonen, Sylvia Vriend, Wilma Dedecker-Veenhof, Anouk Meijs, Mayke Koek, Titia Hopmans Norway: Nina Kristine Sorknes, Torunn Alberg, Thale Cathrine Berg, Hege Line Løwer Poland: Aleksander Deptuła, Ewa Trejnowska, Waleria HryniewiczPortugal: Isabel Neves, Pedro Pacheco, Margarida Valente, Paulo FernandesRomania: Roxana Ioana Serban, Andreea-Sorina Niculcea, Ionel Iosif, Geza Molnar, Rodica Radu, Mariana Dumbrava, Gratiana ChicinSerbia: Ljiljana Markovic-Denic, Vesna Šuljagic, Gorana Dragovac, Biljana Mijovic, Zorana Djordjevic, Ivana Janicijevic, Ivana Cirkovic, Gordana Krtinic, Violeta Rakic, Dragana PlavsaSlovak Republic: Mária Štefkovičová, Slavka Litvová, Mária Kopilec Grabášová, Martina Jamrichová, Jana NámešnáSlovenia: Irena Klavs, Mojca Serdt, Aleš Korošec, Maja Šubelj, Tatjana Lejko Zupanc, Blaž PečavarSpain: Angel Asensio, Mirea Cantero, Lina M Parra, Pilar GallegoUK-England: Susan Hopkins, Rachel Freeman, Katherine Henderson, Diane Ashiru-Oredope, Karen ShawUK-Northern Ireland: Muhammad Sartaj, Mark McConaghy, Gerard McIlvenny, Tony Crockford, Caroline McGeary, Bronagh Clarke, Colin Clarke, Naomi Baldwin, Isobel King, Roisin Gillan,Colin Lavelle, Cairine Gormley, Clare RobertsonUK-Scotland: Jacqui Reilly, Shona Cairns, Cheryl Gibbons UK-Wales: Wendy Harrison, David Florentin

+ ≥ 2257 participating hospitals !