Abstract:
BACKGROUND:The prevalence of healthcare associated infection (HAI) is generally higher in countries with limited resources than developed countries. To address the high prevalence of HAI, Turkish Ministry of Health introduced a national infection control program in 2005. METHODS:Device associated (DA)-HAIs routinely surveyed included ventilator associated events, urinary catheter associated urinary tract infection and central line associated blood stream infection. Rates in DA-HAI were examined from 2008 to 2017 by type of hospitals, bed capacity, and geographic location of hospitals. RESULTS:All DA-HAIs declined significantly from 2008 to 2017 nationally for ventilator associated events from 16.69 to 4.86 per 1,000 device days (IRR = 0.29, P < .0001), catheter associated urinary tract infection from 4.98 to 1.59 per 1,000 catheter days (IRR = 0.31, P < .0001) and central line associated blood stream infection from 5.65 to 2.82 per 1,000 catheter days (IRR = 0.47, P < .0001). The rates for DA-HAIs declined significantly in hospitals with ≥200 beds and <200 bed capacity and in all 4 type of hospitals. By 2017 all DA-HAI had significantly improved across all regions. CONCLUSIONS:The introduction of a new national surveillance system supported by a national infection control program has significantly reduced 3 major DA-HAIs that are associated with risk of treatment failure and death. The next critical step in sustaining this crucial improvement will require timely feedback to hospitals using technology and continued buy-in from clinicians for their commitment to safety associated with DA-HAIs using aspirational DA-HAI rates.
journal_name
Am J Infect Controljournal_title
American journal of infection controlauthors
Gozel MG,Hekimoglu CH,Gozel EY,Batir E,McLaws ML,Mese EAdoi
10.1016/j.ajic.2020.12.013subject
Has Abstractpub_date
2020-12-25 00:00:00eissn
0196-6553issn
1527-3296pii
S0196-6553(20)31067-1pub_type
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journal_title:American journal of infection control
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journal_title:American journal of infection control
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