scholarly journals O Impacto da Monitorização Eletrónica nas Infeções Associadas aos Cuidados de Saúde: O Papel da Plataforma HViTAL

2016 ◽  
Vol 29 (11) ◽  
pp. 734
Author(s):  
Rita Fontes De Oliveira ◽  
Lídia Castro ◽  
José Pedro Almeida ◽  
Carlos Alves ◽  
António Ferreira

Introduction: In Portugal, 9.8% of patients admitted were inflicted with healthcare associated infections, corresponding to a prevalence of 11.7%. The Hospital de São João has developed a business intelligence platform able to supervise (the patients), monitor (the clinical condition) and notify (the healthcare personnel): HViTAL. This study aims to assess the impact of electronic monitoring on healthcare associated infections since the year of HViTAL implementation.Material and Methods: We evaluated data since January 2008 (moment from which computerized records exist) until December 2011, comparing them with subsequent data, those corresponding to January 2012 (implementation date of HViTAL) until 19 October 2015.Results: There was an upward trend of infection parameters in the 2008 - 2011 period. Since January 2012 and October 2015, all parameters of the infection indicator showed a negative linear trend.Discussion: The results are very suggestive that the HVITAL may have had an impact on improving parameters associated tohealthcare associated infections. Basic measures of infection control were highlighted since 2005, with an increasing number of health professional awareness campaigns, a fact which, although not analyzed in this report, may also have contributed to the observed improvement. Our study did not include other variables such as investment in human capital.Conclusion: There was a clear improvement in all areas characterizing the healthcare associated infections, with obvious positive impact with the introduction of HViTAL.

2019 ◽  
Vol 40 (7) ◽  
pp. 741-747 ◽  
Author(s):  
John M. Boyce ◽  
Jennifer A. Laughman ◽  
Michael H. Ader ◽  
Pamela T. Wagner ◽  
Albert E. Parker ◽  
...  

AbstractObjective:Determine the impact of an automated hand hygiene monitoring system (AHHMS) plus complementary strategies on hand hygiene performance rates and healthcare-associated infections (HAIs).Design:Retrospective, nonrandomized, observational, quasi-experimental study.Setting:Single, 93-bed nonprofit hospital.Methods:Hand hygiene compliance rates were estimated using direct observations. An AHHMS, installed on 4 nursing units in a sequential manner, determined hand hygiene performance rates, expressed as the number of hand hygiene events performed upon entering and exiting patient rooms divided by the number of room entries and exits. Additional strategies implemented to improve hand hygiene included goal setting, hospital leadership support, feeding AHHMS data back to healthcare personnel, and use of Toyota Kata performance improvement methods. HAIs were defined using National Healthcare Safety Network criteria.Results:Hand hygiene compliance rates generated by direct observation were substantially higher than performance rates generated by the AHHMS. Installation of the AHHMS without supplementary activities did not yield sustained improvement in hand hygiene performance rates. Implementing several supplementary strategies resulted in a statistically significant 85% increase in hand hygiene performance rates (P < .0001). The incidence density of non–Clostridioies difficile HAIs decreased by 56% (P = .0841), while C. difficile infections increased by 60% (P = .0533) driven by 2 of the 4 study units.Conclusion:Implementation of an AHHMS, when combined with several supplementary strategies as part of a multimodal program, resulted in significantly improved hand hygiene performance rates. Reductions in non–C. difficile HAIs occurred but were not statistically significant.


Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1667
Author(s):  
Giuseppe Cesarelli ◽  
Rita Petrelli ◽  
Carlo Ricciardi ◽  
Giovanni D’Addio ◽  
Orjela Monce ◽  
...  

The reduction of healthcare-associated infections (HAIs) is one of the most important issues in the healthcare context for every type of hospital. In three operational units of the Scientific Clinical Institutes Maugeri SpA SB, a rehabilitation hospital in Cassano delle Murge (Italy), some corrective measures were introduced in 2017 to reduce the occurrence of HAIs. Lean Six Sigma was used together with the Define, Measure, Analyze, Improve, Control (DMAIC) roadmap to analyze both the impact of such measures on HAIs and the length of hospital stay (LOS) in the Rehabilitative Cardiology, Rehabilitative Neurology, Functional Recovery and Rehabilitation units in the Medical Center for Intensive Rehabilitation. The data of 2415 patients were analyzed, considering the phases both before and after the introduction of the measures. The hospital experienced a LOS reduction in both patients with and without HAIs; in particular, Cardiology had the greatest reduction for patients with infections (−7 days). The overall decrease in HAIs in the hospital was 3.44%, going from 169 to 121 cases of infections. The noteworthy decrease in LOS implies an increase in admissions and in the turnover indicator of the hospital, which has a positive impact on the hospital management as well as on costs.


2020 ◽  
Vol 41 (S1) ◽  
pp. s38-s39
Author(s):  
Jerome Leis ◽  
Jeff Powis ◽  
Allison McGeer ◽  
Daniel Ricciuto ◽  
Tanya Agnihotri ◽  
...  

Background: The current approach to measuring hand hygiene (HH) relies on human auditors who capture <1% of HH opportunities and rapidly become recognized by staff, resulting in inflation in performance. Our goal was to assess the impact of group electronic monitoring coupled with unit-led quality improvement on HH performance and prevention of healthcare-associated transmission and infection. Methods: A stepped-wedge cluster randomized quality improvement study was undertaken across 5 acute-care hospitals in Ontario, Canada. Overall, 746 inpatient beds were electronically monitored across 26 inpatient medical and surgical units. Daily HH performance as measured by group electronic monitoring was reported to inpatient units who discussed results to guide unit-led improvement strategies. The primary outcome was monthly HH adherence (%) between baseline and intervention. Secondary outcomes included transmission of antibiotic resistant organisms such as methicillin resistant Staphylococcus aureus (MRSA) and other healthcare-associated infections. Results: After adjusting for the correlation within inpatient units, there was a significant overall improvement in HH adherence associated with the intervention (IRR, 1.73; 95% CI, 1.47–1.99; P < .0001). Monthly HH adherence relative to the intervention increased from 29% (1,395,450 of 4,544,144) to 37% (598,035 of 1,536,643) within 1 month, followed by consecutive incremental increases up to 53% (804,108 of 1,515,537) by 10 months (P < .0001). We identified a trend toward reduced healthcare-associated transmission of MRSA (0.74; 95% CI, 0.53–1.04; P = .08). Conclusions: The introduction of a system for group electronic monitoring led to rapid, significant, and sustained improvements in HH performance within a 2-year period.Funding: NoneDisclosures: None


2021 ◽  
Vol 9 (11) ◽  
pp. 2332
Author(s):  
Nitin Chandra Teja Dadi ◽  
Barbora Radochová ◽  
Jarmila Vargová ◽  
Helena Bujdáková

Healthcare-associated infections (HAIs) are caused by nosocomial pathogens. HAIs have an immense impact not only on developing countries but also on highly developed parts of world. They are predominantly device-associated infections that are caused by the planktonic form of microorganisms as well as those organized in biofilms. This review elucidates the impact of HAIs, focusing on device-associated infections such as central line-associated bloodstream infection including catheter infection, catheter-associated urinary tract infection, ventilator-associated pneumonia, and surgical site infections. The most relevant microorganisms are mentioned in terms of their frequency of infection on medical devices. Standard care bundles, conventional therapy, and novel approaches against device-associated infections are briefly mentioned as well. This review concisely summarizes relevant and up-to-date information on HAIs and HAI-associated microorganisms and also provides a description of several useful approaches for tackling HAIs.


2020 ◽  
pp. 117-122
Author(s):  
Katie-Rose Cawthorne Cawthorne ◽  
Jason Dean ◽  
Richard PD Cooke

Background: Though high hand hygiene (HH) levels significantly reduce the risk of healthcare-associated infections (HCAIs), the current cost of HCAIs and the impact of optimal HH practices on HCAIs are poorly defined. The last NHS England financial assessment was in 2009. Methods: The number of HCAIs per bed per year for NHS England were calculated and average costs were attributed using data from three sources; National Audit Office report, a commercially available calculator, and a financial analysis by a specialist paediatric hospital in England. Improved HH compliance for NHS England was based on a sustained rise in compliance rates from 50 to 80% combined with an HCAI reduction of at least 20%. The cost savings based on such improvements were then calculated. Results: In 2020, it is estimated that the number of HCAIs per bed per year ranges from 3.0 to 9.3, with a midpoint of 5.1. The direct costs of HCAI to NHS England were found to lie between £1.6 and £5 billion. Based on a 20% reduction in HCAI rates, this could lead to cost savings of between £322 million and £1 billion per year. Conclusion: Current direct costs of HCAIs consume approximately 1.3% to 4.1% of NHS England’s annual budget. Improving HH compliance among healthcare workers can lead to significant cost savings. There appears to be a strong financial argument for investment into innovative HH compliance technologies that have been historically perceived as too expensive.


2019 ◽  
Vol 40 (11) ◽  
pp. 1262-1268 ◽  
Author(s):  
Kelly A. Cawcutt ◽  
Jasmine R. Marcelin ◽  
Julie K. Silver

AbstractSocial media, prevention of healthcare-associated infections (HAIs) and antimicrobial stewardship (ASP) each impact every area of medicine. Independently, each have power to change medicine, however, synergistically, the impact could be transformative. Given the profound clinical, financial, and public health impact of infection prevention and antimicrobial stewardship combined with the incomplete uptake of best practices, multimodal strategies employing social media are critical to increase the speed and reach of research. This review discusses the strategic utilization of online communication platforms to increase the dissemination of critical publications.


2020 ◽  
Vol 2020 ◽  
pp. 1-7 ◽  
Author(s):  
Moti Tolera ◽  
Dadi Marami ◽  
Degu Abate ◽  
Merga Dheresa

Background. Healthcare-associated infection is a major public health problem, in terms of mortality, morbidity, and costs. Majorities of the cause of these infections were preventable. Understanding the potential risk factors is important to reduce the impact of these avoidable infections. The study was aimed to identify factors associated with healthcare-associated infections among patients admitted at Hiwot Fana Specialized University Hospital, Harar, Eastern Ethiopia. Methods. A cross-sectional study was carried out among 433 patients over a period of five months at Hiwot Fana Specialized University Hospital. Sociodemographic and clinical data were obtained from a patient admitted for 48 hours and above in the four wards (surgical, medical, obstetrics/gynecology, and pediatrics) using a structured questionnaire. A multivariate logistic regression model was applied to identify predictors of healthcare-associated infections. A p value <0.05 was considered statistically significant. Results. Fifty-four (13.7%) patients had a history of a previous admission. The median length of hospital stay was 6.1 days. Forty-six (11.7%) participants reported comorbid conditions. Ninety-six (24.4%) participants underwent surgical procedures. The overall prevalence of healthcare-associated infection was 29 (7.4%, 95% CI: 5.2–10.6). Cigarette smoking (AOR: 5.18, 95% CI: 2.15–20.47), staying in the hospital for more than 4 days (AOR: 4.29, 95% CI: 2.31–6.15), and undergoing invasive procedures (AOR: 3.58, 95% CI: 1.11–7.52) increase the odds of acquiring healthcare-associated infections. Conclusion. The cumulative prevalence of healthcare-associated infections in this study was comparable with similar studies conducted in developing countries. Cigarette smoking, staying in the hospital for more than 4 days, and undergoing invasive procedures increase the odds of healthcare-associated infections. These factors should be considered in the infection prevention and control program of the hospital.


2020 ◽  
Vol 76 (1) ◽  
pp. 226-232
Author(s):  
Jonathan Roux ◽  
Narimane Nekkab ◽  
Mélanie Colomb-Cotinat ◽  
Pascal Astagneau ◽  
Pascal Crépey

Abstract Background Carbapenemase-producing Enterobacteriaceae (CPE) cause resistant healthcare-associated infections that jeopardize healthcare systems and patient safety worldwide. The number of CPE episodes has been increasing in France since 2009, but the dynamics are still poorly understood. Objectives To use time-series modelling to describe the dynamics of CPE episodes from August 2010 to December 2016 and to forecast the evolution of CPE episodes for the 2017–20 period. Methods We used time series to analyse CPE episodes from August 2010 to November 2016 reported to the French national surveillance system. The impact of seasonality was quantified using seasonal-to-irregular ratios. Seven time-series models and three ensemble stacking models (average, convex and linear stacking) were assessed and compared with forecast CPE episodes during 2017–20. Results During 2010–16, 3559 CPE episodes were observed in France. Compared with the average yearly trend, we observed a 30% increase in the number of CPE episodes in the autumn. We noticed a 1 month lagged seasonality of non-imported episodes compared with imported episodes. Average stacking gave the best forecasts and predicted an increase during 2017–20 with a peak up to 345 CPE episodes (95% prediction interval = 124–1158, 80% prediction interval = 171–742) in September 2020. Conclusions The observed seasonality of CPE episodes sheds light on potential factors associated with the increased frequency of episodes, which need further investigation. Our model predicts that the number of CPE episodes will continue to rise in the coming years in France, mainly due to local dissemination, associated with bacterial carriage by patients in the community, which is becoming an immediate challenge with regard to outbreak control.


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