Evaluation of an Algorithm for Electronic Surveillance of Hospital-Acquired Infections Yielding Serial Weekly Point Prevalence Scores

Streefkerk, Roel H. R. A.; Borsboom, Gerard; Hoeven, Conrad P. van der; Vos, Margreet C.; Verkooijen, Roel P.; Verbrugh, Henri A.

doi:10.1086/676869

Cited by 10 publications

(16 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The method offered the possibility of performing acceptably good surveillance in areas where resources do not allow for traditional manual surveillance [76]. This hospital-wide approach generally results in lower sensitivities [4,13,63]. However, Tseng et al showed their hospital-wide EASS system performed very well in a 2,200-bed teaching hospital, with regard to sensitivity (0.98), specificity (0.99), positive predictive value (0.96), and negative predictive value (1) compared with their reference standard, which, remarkably, was a continuous manual, hospital-wide surveillance for BSI, including CLABSI, operating since 1981 [67].…”

Section: Bloodstream Infections (Including Central Line Associated)mentioning

confidence: 99%

Electronically assisted surveillance systems of healthcare-associated infections: a systematic review

et al. 2020

View full text Add to dashboard Cite

Background: Surveillance of healthcare-associated infections (HAI) is the basis of each infection control programme and, in case of acute care hospitals, should ideally include all hospital wards, medical specialties as well as all types of HAI. Traditional surveillance is labour intensive and electronically assisted surveillance systems (EASS) hold the promise to increase efficiency. Objectives: To give insight in the performance characteristics of different approaches to EASS and the quality of the studies designed to evaluate them. Methods: In this systematic review, online databases were searched and studies that compared an EASS with a traditional surveillance method were included. Two different indicators were extracted from each study, one regarding the quality of design (including reporting efficiency) and one based on the performance (e.g. specificity and sensitivity) of the EASS presented. Results: A total of 78 studies were included. The majority of EASS (n = 72) consisted of an algorithm-based selection step followed by confirmatory assessment. The algorithms used different sets of variables. Only a minority (n = 7) of EASS were hospital-wide and designed to detect all types of HAI. Sensitivity of EASS was generally high (> 0.8), but specificity varied (0.37-1). Less than 20% (n = 14) of the studies presented data on the efficiency gains achieved. Conclusions: Electronically assisted surveillance of HAI has yet to reach a mature stage and to be used routinely in healthcare settings. We recommend that future studies on the development and implementation of EASS of HAI focus on thorough validation, reproducibility, standardised datasets and detailed information on efficiency.

show abstract

Section: Bloodstream Infections (Including Central Line Associated)mentioning

confidence: 99%

Electronically assisted surveillance systems of healthcare-associated infections: a systematic review

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In total, 55 risk factors were identified across the three types of surgical procedures from literature [15], [18][19][20][21][22][23][24][25][26][27][28]. Of the risk factors identified, ASA class, body mass index (BMI), Preoperative length of stay and diabetes were identified as general risk factors.…”

Section: Resultsmentioning

confidence: 99%

“…Weekly (alter two-weekly) prevalence surveys were performed during January 2013 until June 2014 using a semi-automated algorithm [21,22]. In short, an algorithm was used to calculate a nosocomial infection index (NII) which was then verified by infection control practitioners (ICP) in case of a positive outcome to determine whenever HAI was present or not.…”

Section: Methodsmentioning

confidence: 99%

“…Patient related risk factors for SSI, such as obesity, diabetes, surgery duration and the American Society of Anaesthesiologists (ASA) score are risk factors for digestive system, thoracic and orthopaedic surgical procedures [15], [18][19][20][21][22][23][24][25][26][27][28]. Some risk factors are only relevant to certain types of surgical procedures, but the marginal contribution of these surgery specific risk factors to explain the occurrence of SSI has yet to be reported.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Risk factor identification and contribution to surgery-specific surgical site infection

Niekerk

Vos

Stein

et al. 2019

Preprint

View full text Add to dashboard Cite

Background: To identify common risk factors for the future occurrence of SSI across digestive system surgical procedures, thoracic surgery and orthopaedic procedures and quantify what the marginal contribution of explaining the future occurrence of SSI is of risk factors specific to each group of surgeries. Methods: Retrospective data from serial point-prevalence studies, performed at the Erasmus MC University Medical Center, Rotterdam, The Netherlands were used, together with medical data, from 3.250 surgical procedures, during the period January 2013 to 29 June 2014. Common risk factors across three groups of surgical procedures were identified by scanning literature and univariate analysis. A multivariate forward-step logistic regression model was used to identify the marginal contribution of the risk factor specific to each group of surgical procedure using the increase in the Gini coefficient. Results: For digestive system surgical procedures, antibiotic use, temperature, smoking status, age, CRP, thrombocyte, during of surgery and surgical urgency are risk factors for SSI, where the last four were specific to the digestive system group of surgical procedures and increased the Gini coefficient by 9.5% (0.63 to 0.69). Preoperative length of stay, antibiotic use and Leukocyte are risk factors for orthopaedic surgical procedures. Temperature, age and the use of antibiotics were significant for thoracic surgical procedures. Conclusion: ASA class, body mass index (BMI), Preoperative length of stay, diabetes, antibiotic use, age, Leukocyte, temperature and smoking status as general risk factors common to digestive, orthopaedic and thoracic surgical procedures using existing literature and univariate logistic regression. Risk factors for SSI, specific to a surgical procedure group can increase the ability to explain the future occurrence of SSI by 9.5%. The models developed in this study can aid healthcare workers to improve preoperative counselling and help identify potentially modifiable risk factors.

show abstract

“…21-23 However, current surveillance methods lack a systematic approach to detect changes or patterns in events that require acute interventions. Nor is surveillance currently used to predict antimicrobial resistance problems and upcoming outbreaks of diseases due to the lack of advanced analytics.…”

Section: Discussionmentioning

confidence: 99%

Technology to Support Integrated Antimicrobial Stewardship Programs: A User Centered and Stakeholder Driven Development Approach

Jong

Gemert-Pijnen

Wentzel

et al. 2017

Infectious Disease Reports

View full text Add to dashboard Cite

The rise of antimicrobial resistance (AMR) is a severe global health problem. Tackling this problem requires the prudent prescribing of antimicrobials. This is promoted through Antimicrobial Stewardship Programs (ASPs). In this position paper we describe i) how a socio-technical multidisciplinary approach (based on the CeHRes Roadmap) can be applied in the development and implementation of Antimicrobial Stewardship technologies and ii) how this approach can be of value to support Antimicrobial Stewardship in practice. The CeHRes Roadmap entails five different phases to explore and test how an eHealth technology can be tailored to the target group and successfully implemented in practice: i) contextual inquiry, ii) value specification, iii) design, iv) operationalization, v) evaluation. In this position paper we describe the lessons learned from research and practice to guide future developments of technology based ASP interventions. Since AMR is a huge wicked problem on a global level, it requires innovative methods and models to empower general public and professionals to be proactive rather than reactive in a digitalized world. We highlight how to combat the dangerous rise of antimicrobial resistance in the future.

show abstract

Evaluation of an Algorithm for Electronic Surveillance of Hospital-Acquired Infections Yielding Serial Weekly Point Prevalence Scores

Cited by 10 publications

References 8 publications

Electronically assisted surveillance systems of healthcare-associated infections: a systematic review

Electronically assisted surveillance systems of healthcare-associated infections: a systematic review

Risk factor identification and contribution to surgery-specific surgical site infection

Technology to Support Integrated Antimicrobial Stewardship Programs: A User Centered and Stakeholder Driven Development Approach

Contact Info

Product

Resources

About