73
A n a i s d o I HM T
barriers and after all the collaborative process, HAITooL
turns to be unquestionably an important step forward
to reduce antibiotic misuse and to control and prevent
antibiotic-resistant HAI.
Acknowledgement
Authors thanks to all healthcare workers that partici-
pate in HAITooL project and contribute to the informa-
tion system design and implementation, as well as the
technical support team, Qlik and AdminSaúde. We ac-
knowledge the co-authoring of Alexandra Simões, João
Gregório, Isabel Couto, Pedro Póvoa and Miguel Vi-
veiros in this project.
This work was supported by project “HAITooL - ATool-
kit to Prevent,Manage and Control Healthcare-Associat-
ed Infections in Portugal” EEA Grants, 000182DT3; and
by FCT for funds to GHTM – UID/Multi/04413/2013.
The authors declare no conflict of interest.
References
1.
WHO, 2015. Global action plan on antimicrobial resistance.,World Health
Organization.
2.
R. Laxminarayan
et al.
, 2013. Antibiotic resistance—the need for global
solutions.
Lancet Infect.Dis.
(2013)
13
, 1057–1098.
3.
S. E. Cosgrove, 2006. The Relationship between Antimicrobial Resistance
and Patient Outcomes: Mortality, Length of Hospital Stay, and Health Care Costs.
Clin. Infect.Dis.
(2006)
42
, S82–S89.
4.
A. Huttner
et al.
, 2013. Antimicrobial resistance: a global view from the
2013World Healthcare-Associated Infections Forum.
Antimicrob. Resist. Infect. Con-
trol
(2013)
2
, 31.
5.
M. A. Borg, 2014. Cultural determinants of infection control behaviour:
understanding drivers and implementing effective change.
J.Hosp.Infect.
(2014)
86
,
161–168.
6.
M. A. Borg, L. Camilleri, and B.Waisfisz, 2012. Understanding the epide-
miology of MRSA in Europe: do we need to think outside the box?
J. Hosp. Infect.
(2012)
81
, 251–256.
7.
W. Zingg, A. Holmes, M. Dettenkofer, T. Goetting, F. Secci, L. Clack, B.
Allegranzi, A.-P. Magiorakos, and D. Pittet, 2015. Hospital organisation, manage-
ment, and structure for prevention of health-care-associated infection: a systematic
review and expert consensus.
Lancet Infect.Dis.
(2015)
15
, 212–224.
8.
A. S. Simões, M. R. Maia, J. Gregório, and L. V. Lapão, 2017.
Antimicrob.
Resist.Infect.Control
,
6(Suppl 3):P310
, BioMed Central, Geneva, Switzerland.
9.
M. Gil, P. Pinto, A. S. Simões, P. Póvoa, M. M. da Silva, and L. V. Lapão,
2016. Co-Design of a Computer-Assisted Medical Decision Support System to
Manage Antibiotic Prescription in an ICUWard.
Stud.HealthTechnol.Inform.
(2016),
499–503.
10. K. Peffers, T. Tuunanen, M. A. Rothenberger, and S. Chatterjee, 2007. A
Design Science Research Methodology for Information Systems Research.
J.Manag.
Inf.Syst.
(2007)
24
, 45–77.
11. A. S. Simões, D. A. Alves, J. Gregório, I. Couto, S. Dias, P. Póvoa,
M.Vi-
veiros, L. Gonçalves, and L.V. Lapão, 2018. Fighting antibiotic resistance in Por-
tuguese Hospitals: understanding antibiotic prescription behaviors to better design
antibiotic stewardship programs.
J.Glob.Antimicrob.Resist.
(2018).
12. H. Österle
et al.
, 2011. Memorandum on design-oriented information sys-
tems research.
Eur.J.Inf.Syst.
(2011)
20
, 7–10.
13. A. S. Simões, I. Couto, C.Toscano, E. Gonçalves, P. Póvoa, M.Viveiros, and
L.V. Lapão, 2016. Prevention and Control of Antimicrobial Resistant Healthcare-
Associated Infections:The Microbiology Laboratory Rocks!
Front.Microbiol.
(2016)
7
.
14. G. N. Forrest,T. C.Van Schooneveld, R. Kullar, L.T. Schulz, P. Duong, and
M. Postelnick, 2014. Use of Electronic Health Records and Clinical Decision Sup-
port Systems forAntimicrobial Stewardship.
Clin.Infect.Dis.
(2014)
59
, S122–S133.
15. S. L. Jaensch, M. T. Baysari, R. O. Day, and J. I.Westbrook, 2013. Junior
doctors’ prescribing work after-hours and the impact of computerized decision
support.
Int.J.Med.Inf.
(2013) 82, 980–986.