WHONET- user perspective

WHONET- USER
PERSPECTIVE
๑๖ มิถุนายน ๒๕๕๗ สถาบันวิจยั วิทยาศาสตร์สาธารณสุข กรมวิทยาศาสตร์การแพทย์
Clinical Infectious Diseases 2007; 44:867–73
Clinical Infectious Diseases 2007; 44:867–
73
Data presented are from a large teaching hospital and
were analyzed with WHONET software, version 5.3,
a software program for the management of
microbiology laboratory data that is available free
of charge from the World Health Organization [4]
WHONET
Manual entry – one minute per organism
 Customization of the software -Configure the
fields the way we want it
 E.g I want each of my 5 ICU’s to have separate
data – MICU, NICU, PICU, CCU, NSICU
 New fields can be added- eg different
specialties like nephrology, plastic surgery etc

What is BacLink?
Many laboratories in the world already have computer systems for managing
microbiological data. Examples include:
1.
Simple desktop softwares such as Microsoft Excel, Access, or EpiInfo
2.
Laboratory test instruments, such as Vitek, MicroScan, and SensiTitre
3.
Commercial or in-house laboratory information systems.
The purpose of the BacLink software is to facilitate the conversion of data
from your computer system into WHONET. You could do this interactively on
a weekly, monthly, or ad hoc basis. BacLink is available free-of-charge from
the World Health Organization as part of the WHONET package.
By using BacLink, you can thus avoid the manual entry of results into
WHONET. A related benefit in the context of multi-center collaborations is
the standardization of data from a number of incompatible data sources
into one common structure that can be analyzed with WHONET.
WHONET



Use of Baclink has reduced our entry time
We now analyse every month
Apart from RIS data, we take out separate data for
ICUs; blood culture contamination by CONS etc
WHONET


The most important part of WHONET is the
configuration.
Once done properly, then the analysis becomes
very easy and simplified
Analysis




Do it whichever way we want
Organism wise
Ward wise
Antibiotic wise
Presentation


Tables with raw data
Charts
WHONET



We had problems with Vibrio entry – the system
would hang when we entered this organism
Wrote to John Stelling and he immediately rectified
the problem
Mr Stelling is easily accessible by email and replies
to all queries
Acinetobacter calcoaceticus-baumannii complex
(28 hospital, 2000-2011)
30
25
14.6
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
5
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
.
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
.
3.7
1.7
4.7
5.3
7
10
Other
Blood
Urine
Pus
Respiratory tract
11
11
15
4
0
20
21
20
25
28
IPD
OPD
ICU
% prevelence
0
Central
North
North-East
East
South
Bangkok
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
60
2…
70
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
201
0
201
1
201
2
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
201
0
201
1
201
2
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
201
0
201
1
201
2
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2012
2011
2010
2009
2008
2007
2006
2005
70
2…
80
2…
80
2004
2003
2002
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
90
2…
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
201
0
201
1
201
2
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
201
0
201
1
201
2
200
2
200
3
200
4
200
5
200
6
200
7
200
8
200
9
201
0
201
1
201
2
90
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
2…
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2…
2…
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2…
2…
% ReSistance
Resistant rate of S. pneumoniae by region 2002-2010
NARST-28 hospitals
(by disk diffusion)
100
60
Penicillin
50
40
30
20
10
0
100
70
Erythromycin
60
50
40
30
20
10
0
100
90
80
50
Clindamycin
40
30
20
10
การทดสอบความไวของเชือ้ K. pneumoniae
North
North-East
Central
East
ต่ อยา (2012)
South
100
90
80
70
60
50
40
30
20
10
0
AMC
CTX
ETP
IMP
MEM
100
90
80
70
60
50
40
30
20
10
0
2.5
Co-trimoxazole
Clindamycin
27.1
28.725.9
Erythromycin
36.4
Ciprofloxacin
P. aeruginosa
Cefoxitin
Co-trimoxazole
Ciprofloxacin
Meropenem
26.6
Ceftazidime
A.
calcoaceticusbaumannii
complex
Piperacillin/Tazoba…
Levofloxacin
Amikacin
61.2
Meropenem
%R
Piperacillin/Tazoba…
K. pneumoniae
Ampicillin/Sulbactam
44.1
Co-trimoxazole
Gentamicin
44.3
Ciprofloxacin
0.8
Imipenem
E. coli
Ceftazidime
Co-trimoxazole
35.4
Gentamicin
Ciprofloxacin
Imipenem
Ceftazidime
เปอร์เซ็นต์การดื้อยาของเชื้อที่พบมากที่สุด 5 ลาดับแรก
ใน 12 เขตบริการสุขภาพ ต.ค.2556-มี.ค. 2557
S. aureus
94.7
79.878.9
74.5
72.1
65.5
57.3
47.4
29.2 30.8 31.2
26.9
14.4
4.8
Top ten organisms isolated from blood by 28 hospitals
% of all patients
Acinetobacter sp.
Pseudomonas
aeruginosa
Staphylococcus, coagulase neg.
Burkholderia
Streptococcus
viridans, alphahem.
8
Streptococcus
pneumoniae
Salmonella sp.
7
6
5.3
E. coli
4.82
5
4.56
4.1
4
Staphylococcus aureus
3
K. pneumoniae
2
5.6 5.6 5.485.5
4.89
4.29
3.84
3.5
3.37
3.03
3.2
3.18 3.1
2.7 2.8 2.7
2.67
2.22
2.24
1.6
2.22
0.94
1
1.9
3.34 3.36
2.7
2
2.97
2.65
2.2
1.6 1.71.74
1.57
1.3 1.2
1.54
0.9
0.63
0
(10574)
(12033)
(13229)
(16513)
(14859)
0.93
(22120)
(19330)
(19800)
(21554)
(30379)
(27951)
(19049)
(20476)
(24571)
0.66
Thank you