Burden of healthcare-associated infections at six tertiary-care hospitals in Saudi Arabia: A point prevalence survey

2019 ◽  
Vol 40 (3) ◽  
pp. 355-357 ◽  
Author(s):  
Majid M. Alshamrani ◽  
Aiman El-Saed ◽  
Asim Alsaedi ◽  
Ayman El Gammal ◽  
Wafa Al Nasser ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Tertiary Care ◽  
Bloodstream Infections ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Prevalence Survey ◽  
Point Prevalence Survey ◽  
Tract Infections ◽  
Healthcare Associated ◽  
Tertiary Care Hospitals

AbstractA point prevalence survey was conducted on May 11, 2017, among inpatients at 6 hospitals in Saudi Arabia. The overall point prevalence was 6.8% (114 of 1,666). The most common types of infections were pneumonia (27.2%), urinary tract infections (20.2%), and bloodstream infections (10.5%). Approximately 19.2% of healthcare-associated infections were device associated.

scholarly journals A Six-Year Point Prevalence Survey of Healthcare-Associated Infections in an Italian Teaching Acute Care Hospital

2020 ◽  
Vol 17 (21) ◽  
pp. 7724
Author(s):  
Andrea Gentili ◽  
Marcello Di Pumpo ◽  
Daniele Ignazio La Milia ◽  
Doriana Vallone ◽  
Gino Vangi ◽  
...  
Keyword(s):  
Acute Care Hospital ◽  
Bloodstream Infections ◽  
Surgical Site Infections ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Care Hospital ◽  
Prevalence Survey ◽  
Point Prevalence Survey ◽  
Tract Infections ◽  
Healthcare Associated

Healthcare-associated infections (HAI) represent one of the most common cause of infection and an important burden of disease. The aim of this study was to analyze the results of a six-year HAI point prevalence survey carried out yearly in a teaching acute care hospital from 2013 to 2018, following the European Center for Disease Prevention and Control (ECDC) guidelines. Surgical site infections, urinary tract infections, bloodstream infections, pneumonia, meningitis, and Clostridium difficile infections were considered as risk factors. A total of 328 patients with HAI were detected during the 6-year survey, with an average point prevalence of 5.24% (95% CI: 4.70–5.83%). Respiratory tract infections were the most common, followed by surgical site infections, urinary tract infections, primary bloodstream infections, Clostridium difficile infections, and central nervous system infections. A regression model showed length of stay at the moment of HAI detection, urinary catheter, central venous catheter, and antibiotic therapy to be the most important predictors of HAI prevalence, yielding a significant adjusted coefficient of determination (adjusted R2) of 0.2780. This will provide future infection control programs with specific HAI to focus on in order to introduce a proper prophylaxis and to limit exposure whenever possible.

Estimating incidence and attributable length of stay of healthcare-associated infections—Modeling the Swiss point-prevalence survey

2021 ◽  
pp. 1-10
Author(s):  
Sam Doerken ◽  
Aliki Metsini ◽  
Sabina Buyet ◽  
Aline Wolfensberger ◽  
Walter Zingg ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Surgical Site Infections ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Prevalence Survey ◽  
Point Prevalence Survey ◽  
Incidence Proportion ◽  
Tract Infections ◽  
Healthcare Associated

Abstract Objectives: In 2017, a point-prevalence survey was conducted with 12,931 patients in 96 hospitals across Switzerland as part of the national strategy to prevent healthcare-associated infections (HAIs). We present novel statistical methods to assess incidence proportions of HAI and attributable length-of-stay (LOS) in point-prevalence surveys. Methods: Follow-up data were collected for a subsample of patients and were used to impute follow-up data for all remaining patients. We used weights to correct length bias in logistic regression and multistate analyses. Methods were also tested in simulation studies. Results: The estimated incidence proportion of HAIs during hospital stay and not present at admission was 2.3% (95% confidence intervals [CI], 2.1–2.6), the most common type being lower respiratory tract infections (0.8%; 95% CI, 0.6–1.0). Incidence proportion was highest in patients with a rapidly fatal McCabe score (7.8%; 95% CI, 5.7–10.4). The attributable LOS for all HAI was 6.4 days (95% CI, 5.6–7.3) and highest for surgical site infections (7.1 days, 95% CI, 5.2–9.0). It was longest in the age group of 18–44 years (9.0 days; 95% CI, 5.4–12.6). Risk-factor analysis revealed that McCabe score had no effect on the discharge hazard after infection (hazard ratio [HR], 1.21; 95% CI, 0.89–1.63). Instead, it only influenced the infection hazard (HR, 1.84; 95% CI, 1.39–2.43) and the discharge hazard prior to infection (HR, 0.73; 95% CI, 0.66–0.82). Conclusions: In point-prevalence surveys with limited follow-up data, imputation and weighting can be used to estimate incidence proportions and attributable LOS that would otherwise require complete follow-up data.

Point prevalence of healthcare-associated infections and antibiotic use in a tertiary care teaching hospital in Nepal: A cross-sectional study

2021 ◽  
pp. 175717742110358
Author(s):  
Sailesh Kumar Shrestha ◽  
Swarup Shrestha ◽  
Sisham Ingnam
Keyword(s):  
Prevention And Control ◽  
Tertiary Care ◽  
Antibiotic Use ◽  
Point Prevalence ◽  
University Hospital ◽  
Infection Prevention And Control ◽  
Healthcare Associated Infections ◽  
Prevalence Survey ◽  
Healthcare Associated ◽  
And Control

Information on the burden of healthcare-associated infections (HAIs) and patterns of antibiotic use are prerequisites for infection prevention and control (IPC) and antibiotics stewardship programmes. However, a few studies have been reported from resource-limited settings and many of them have not used standard definitions to diagnose HAI precluding benchmarking with regional or international data. This study aims to estimate the prevalence of HAIs and antibiotic use in our centre. We conducted a point prevalence survey in a 350-bed university hospital in Kathmandu, Nepal in April 2019. We reviewed all patients aged ⩾ 18 years admitted to the hospital for at least two calendar days and evaluated for the three common HAIs—pneumonia, urinary tract infection and surgical site infection. We used the clinical criteria by the European Center for Disease Prevention and Control to diagnose the HAIs. We also collected information on the antibiotics used. Of 160 eligible patients, 18 (11.25%) had HAIs and 114 (87.5%) were on antibiotics, with more than half of them (61/114 patients, 53.5%) receiving two or more antibiotics. This highlights the need for effective implementation of IPC as well as antibiotics stewardship programmes in our centre.

scholarly journals A six-years point prevalence survey of healthcare-associated infections in an Italian hospital

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Gentili ◽  
D I La Milia ◽  
D Vallone ◽  
M Di Pumpo ◽  
G Vangi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Length Of Stay ◽  
Acute Care Hospital ◽  
Point Prevalence ◽  
Healthcare Associated Infections ◽  
Care Hospital ◽  
Prevalence Survey ◽  
Point Prevalence Survey ◽  
The Moment ◽  
Healthcare Associated

Abstract Healthcare-Associated Infections (HAIs) are among the most serious public health problems in Europe representing the most frequent adverse event during care delivery. Despite their limitations, point prevalence surveys of HAIs are often preferred to prospective surveillance, since they provide a feasible estimate when resources are limited. The aim of this study was to analyze the results of a six-years point prevalence survey of HAIs in a teaching acute care hospital in Italy and to investigate the main risk factors of HAIs in the acute-care hospital. A point prevalence survey to detect HAIs was carried out in Gemelli Hospital during the last 6 years, from 2013 to 2018. Inpatients of any age in Gemelli Hospital were eligible for inclusion. Patients in outpatient areas were excluded. HAIs were identified according to diagnosis guideline from ECDC in 2011. Statistically significant differences were tested through t-test and Chi-square test. Multi-variate analysis was performed to evaluate the impact of regressor factors for predict HAI’s prevalence. The statistical significance level was set at p < 0.05. The point prevalence ranged from 3,16% in 2017 to 6,64% in 2013. Pneumonia and surgical site infections (SSI) were the most frequent HAIs during the 6 years, with a rate of 27,31% and 26,20% respectively of all HAIs. The multiple logistic regression showed that length of stay at the moment of detection, urinary catheter, CVC and antibiotic therapy are useful to meaningfully predict HAI prevalence, with a regression coefficient (adjusted R2) of 0.2780. Thanks to proper hospital policies, the point prevalence of HAIs does not seem to increase through the years, even though it is still too early to draw any conclusions. Pneumonia and SSI represented each one more than a quarter of all the HAIs, as reported also in literature. There is a strong association between length of stay at the moment of detection and HAIs but it is hard to understand which one is the cause of the other. Key messages Point prevalence from 2013 to 2018 seems to be stable. An accurate incidence survey is needed in order to identify the main risk factors of HAI and to realize more specific hospital programmes. Length of stay at the moment of detection is useful to meaningfully predict HAIs prevalence although the cause-and-effect relationship is still not clear.

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