Disinfection of central venous access device needleless connectors: A human factors analysis.

OBJECTIVE: Evidence-based central-line-associated bloodstream infection (CLABSI) prevention guidelines recommend the use of an antiseptic scrub to disinfect needleless connectors before device access. Guideline noncompliance may render disinfection ineffective. The goal of this study was to observe needleless-connector disinfection practices and to identify perceived facilitators and barriers to best practices of needleless-connector access. METHODS: A human factors mixed-methods study involving nursing focus groups of perceived barriers and facilitators and clinical observations of compliance with instructions and protocols for use of 3.15% chlorhexidine gluconate/70% isopropyl alcohol (CHG/IPA) and 70% isopropyl alcohol (IPA) antisepsis products for central venous access device (CVAD) needleless-connector disinfection was conducted in intensive care units (ICUs) at 2 academic medical centers. RESULTS: Access to the antiseptic product and lesser workload were identified as best-practice facilitators. Barriers were the time required per needleless-connector access and knowledge deficits. Of the 48 observed access events, 77% resulted in needleless-connector disinfection. The observed mean needleless-connector scrubbing times when using IPA were substantially below the recommended time. Drying time after product use was negligible. CONCLUSIONS: Lack of access to the disinfection product, emergency situations, and high workload were barriers to needleless-connector disinfection. Observed scrubbing and drying times were shorter than recommended, especially for IPA wipes. These needleless-connector disinfection deficits may increase the risk of CLABSI. Ongoing education and periodic competency evaluation of needleless-connector disinfection, improvement of supply management, and staffing workload are required to imbed and sustain best practices. Further study involving a larger sample size in diverse patient populations is warranted.

Infection preventionists in public health, consultant and academic roles: Results from the 2020 APIC MegaSurvey.

BACKGROUND: Infection preventionists (IPs) work and practice in a variety of roles across many practice settings. While the health care-based IP role has been well studied, less is known about IPs who work in public health, consultant, and academic roles. METHODS: Data were collected as a subset of the Association for Professionals in Infection Prevention and Control and Epidemiology 2020 MegaSurvey. Descriptive and bivariate analyses were performed to compare the responses of 147 IPs working in public health, consulting, or academic roles. RESULTS: Respondents identified their primary IP role as public health (40%), consulting (39%), or academic (21%). Most were White and non-Hispanic females working in long-term care, acute care, and outpatient settings. Most had over 11 years of experience in health care before IP, with nursing being the most common. More consultants were certified in infection control (74%). While half of the respondents in public health reported being certified in infection control, and a third had 6 or more years of experience in infection prevention and control, they reported the lowest annual salary and satisfaction with total compensation. DISCUSSION: These findings highlight the characteristics and contributions of infection prevention and control in nontraditional roles and settings. Certification and fair compensation are crucial factors for professional development and job satisfaction. CONCLUSIONS: These insights can guide future education, recruitment, and retention strategies for IPs in public health, consulting, and academic roles.

Health care...associated infections studies project: An American Journal of Infection Control and National Health Care Safety Network data quality collaboration case study..÷Laboratory-identified event reporting validation.

This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) health care...associated infection surveillance definitions. This specific case study focuses on the application of the common surveillance concepts included in Laboratory-Identified Event Reporting (Chapter 12 of the NHSN Patient Safety Manual..÷Multidrug-Resistant Organism & Clostridioides difficile Infection Module) used with validation efforts. The intent of the case study series is to foster standardized application of the NHSN surveillance definitions and encourage accurate event determination among infection preventionists.

Health care-associated infections studies project: An American Journal of Infection Control and National Healthcare Safety Network Data Quality Collaboration Case Study - Chapter 9 Surgical site infection event (SSI) case study.

This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) healthcare-associated infection (HAI) surveillance definitions. This specific case study focuses on the application of common surveillance concepts included in the Patient Safety Component, Chapter 9 - Surgical Site Infection Event (SSI). The intent of the case study series is to foster standardized application of the NHSN HAI surveillance definitions and encourage accurate HAI event determination among Infection Preventionists (IPs).

Health care-associated infections studies project: An American journal of infection control and national healthcare safety network data quality collaboration case study - Chapter 2 Identifying Healthcare-associated Infections (HAI) for NHSN Surveillance case study vignettes.

This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) healthcare-associated infection (HAI) surveillance definitions. This specific case study focuses on the application of three of the surveillance concepts included in the Patient Safety Component, Chapter 2 - Identifying Healthcare-associated Infections (HAI) for NHSN Surveillance. The intent of the case study series is to foster standardized application of the NHSN HAI surveillance definitions and encourage accurate HAI event determination among Infection Preventionists (IPs).

How infection present at time of surgery (PATOS) data impacts your surgical site infection (SSI) standardized infection ratios (SIR), with focus on the complex 30-day SSI SIR model.

This case study is part of a series centered on the Centers for Disease Control and Prevention's National Healthcare Safety Network's (NHSN) health care-associated infection (HAI) surveillance definitions. This is the first analytic case study published in AJIC since the CDC/ NHSN updated its HAI risk adjustment models and rebaselined the standardized infection ratios (SIRs) in 2015. This case describes a scenario that Infection Preventionists (IPs) have encountered during their analysis of surgical site infection (SSI) surveillance data. The case study is intended to illustrate how specific models can impact the SIR results by highlighting differences in the criteria for NHSN's older and newer risk models: the original versions and the updated models introduced in 2015. Understanding these differences provides insight into how SSI SIR calculations differ between the older and newer NHSN baseline models. NHSN plans to produce another set of HAI risk adjustment models in the future, using newer HAI incidence and risk factor data. While the timetable for these changes remains to be determined, the statistical methods used to produce future models and SIR calculations will continue the precedents that NHSN has established. An online survey link is provided where participants may confidentially answer questions related to the case study and receive immediate feedback in the form of correct answers, explanations, rationales, and summary of teaching points. Details of the case study, answers, and explanations have been reviewed and approved by NHSN staff. We hope that participants take advantage of this educational offering and thereby gain a greater understanding of the NHSN's HAI data analysis. There are 2 baselines available for SSI standardized infection ration (SIRs) in the National Healthcare Safety Network (NHSN); one based on the 2006-2008 national aggregate data and another based on the 2015 data. Each of the 2 baselines has a different set of inclusion criteria for the SSI data, which impact the calculation of the SIR. In this case study, we focused on the impact of the inclusion of PATOS in the calculation of the 2006-2008 baseline SSI SIR and the exclusion of PATOS from the calculation of the 2015 baseline SSI SIR. In the 2006-2008 baseline SSI SIRs, PATOS events and the procedures to which they are linked are included in the calculation of the SSI SIR whereas in the 2015 baseline SSI SIRs, PATOS events and the procedures to which they are linked are excluded from the calculation of the SSI SIR. Meaning, if we control for all other inclusion criteria other than PATOS data for both baselines, we will notice differences in the number of observed events as well as the number of predicted infections for the 2 baselines. For details of the 2015 baseline and risk adjustment calculation, please review the NHSN Guide to the SIR referenced below. For details of the 2006-2008 baseline4 and risk adjustment, please see the SHEA paper "Improving Risk-Adjusted Measures of Surgical Site Infection for the National Healthcare Safety Network" by author Yi Mu.

Healthcare-associated infections studies project: An American Journal of Infection Control and National Healthcare Safety Network data quality collaboration.

This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) healthcare-associated infection (HAI) surveillance definitions. This specific case study focuses on the application of the Pneumonia (PNEU), Ventilator-associated event (VAE), and Bloodstream infections (BSI) surveillance definitions to a patient with COVID-19. The intent of the case study series is to foster standardized application of the NHSN HAI surveillance definitions among Infection Preventionists (IPs) and encourage accurate determination of HAI events.

Health Care-associated infections studies project: An American Journal of Infection Control and National Healthcare Safety Network data quality collaboration case study.

This National Healthcare Safety Network (NHSN) surveillance case study is part of a case-study series in the American Journal of Infection Control (AJIC). These cases reflect some of the complex patient scenarios Infection preventionists have encountered in their daily surveillance of health care-associated infections using NHSN definitions. Objectives have been previously published.

Health care-associated infections studies project: an American Journal of Infection Control and National Healthcare Safety Network data quality collaboration.

This case study is part of a series centered on the Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN) health care-associated infection (HAI) surveillance definitions. The intent of the case study series is to foster standardized application of the NHSN HAI surveillance definitions among infection preventionists and to promote accurate determination of HAI events. These cases reflect some of the complex patient scenarios that infection preventionists have encountered in their daily surveillance of HAIs using NHSN definitions. Objectives have been previously published.1.

Health care-associated infections studies project: An American Journal of Infection Control and National Healthcare Safety Network data quality collaboration case study: Bloodstream infection-patient injection into vascular access 2018.

This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) health care-associated infection surveillance definitions. These cases reflect some of the complex patient scenarios infection preventionists have encountered in their daily surveillance of health care-associated infections using NHSN definitions and protocols. Teaching points for this case study are.

Healthcare-associated infections studies project: An American Journal of Infection Control and National Healthcare Safety Network data quality collaboration: Location mapping.

This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) health care-associated infection (HAI) surveillance definitions. This specific case study focuses on appropriately mapping locations within an NHSN-enrolled facility. The intent of the case study series is to foster standardized application of the NHSN HAI surveillance definitions among IPs and encourage accurate determination of HAI events. An online survey link is provided where participants may confidentially answer questions related to the case study and receive immediate feedback in the form of correct answers and explanations and rationales. Details of the case study, answers, and explanations have been reviewed and approved by NHSN staff. We hope that participants take advantage of this educational offering and thereby gain a greater understanding of NHSN HAI surveillance definitions.

Health care-associated infections studies project: An American Journal of Infection Control and National Healthcare Safety Network data quality collaboration.

This case study is part of a series centered on the Centers for Disease Control and Prevention/National Healthcare Safety Network (NHSN) health care-associated infection (HAI) surveillance definitions. This specific case study focuses on the definitions and protocols used to make HAI infection determinations, such as the infection window period and secondary bloodstream infection attribution period. The case reflects the real-life and complex patient scenarios that infection preventionists (IPs) face when identifying and reporting HAIs to NHSN. The intent of the case study series is to foster standardized application of the NHSN HAI surveillance definitions among IPs and encourage accurate determination of HAI events. An online survey link is provided where participants may confidentially answer questions related to the case study and receive immediate feedback in the form of correct answers and explanations and rationales. Details of the case study, answers, and explanations have been reviewed and approved by NHSN staff. We hope that participants take advantage of this educational offering and thereby gain a greater understanding of NHSN HAI surveillance definitions.

Assessment of the accuracy and consistency in the application of standardized surveillance definitions: A summary of the American Journal of Infection Control and National Healthcare Safety Network case studies, 2010-2016.

BACKGROUND: The Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN) surveillance definitions are the most widely used criteria for health care-associated infection (HAI) surveillance. NHSN participants agree to conduct surveillance in accordance with the NHSN protocol and criteria. To assess the application of these standardized surveillance specifications and offer infection preventionists (IPs) opportunities for ongoing education, a series of case studies, with questions related to NHSN definitions and criteria were published. METHODS: Beginning in 2010, case studies with multiple-choice questions based on standard surveillance criteria and protocols were written and published in the American Journal of Infection Control with a link to an online survey. Participants anonymously submitted their responses before receiving the correct answers. RESULTS: The 22 case studies had 7,950 respondents who provided 27,790 responses to 75 questions during the first 6 years. Correct responses were selected 62.5% of the time (17,376 out of 27,290), but ranged widely (16%-87%). In a subset analysis, 93% of participants self-identified as IPs (3,387 out of 3,640), 4.5% were public health professionals (163 out of 3,640), and 2.5% were physicians (90 out of 3,640). IPs responded correctly (62%) more often than physicians (55%) (P = .006). CONCLUSIONS: Among a cohort of voluntary participants, accurate application of surveillance criteria to case studies was suboptimal, highlighting the need for continuing education, competency development, and auditing.

Health care-associated infections studies project: An American Journal of Infection Control and National Healthcare Safety Network data quality collaboration.

This case study is part of a series centered on the Centers for Disease Control and Prevention's National Healthcare Safety Network's (NHSN) health care-associated infection (HAI) surveillance definitions. The intent of the case study series is to foster standardized application of the NHSN's HAI surveillance definitions among infection preventionists and accurate determination of HAI events. This specific case study focuses on the definitions found within the surgical site infection (SSI) protocol. It aims to reflect the real life and complex patient scenario surrounding a bloodstream infection that is secondary to an SSI and the application of the Present at the Time of Surgery event detail. An online survey link is provided where participants may confidentially answer questions related to the case study and receive immediate feedback in the form of correct answers and explanations and rationales. Details of the case study, answers, and explanations have been reviewed and approved by NHSN staff. We hope that participants take advantage of this educational offering and thereby gain a greater understanding of the NHSN's HAI surveillance definitions.

Slow adoption of automated infection prevention surveillance: are human factors contributing?

Although automated surveillance technology has been evolving for decades, adoption of these technologies is in a nascent state. The current trajectory of public reporting, continued emergence of multidrug-resistant organisms, and mandated antimicrobial stewardship initiatives will result in an increased surveillance workload for ICPs. The use of traditional surveillance methods will be inefficient in meeting the demands for more data and are potentially flawed by subjective interpretation. An examination is offered of the slow adoption of automated surveillance technology from a system perspective with the inherent ambiguities that may operate within the ICP work structure. Formal qualitative research is needed to assess the human factors associated with lack of acceptance of automated surveillance systems. Identification of these factors will allow the National Healthcare Safety Network and professional organizations to offer educational programs and mentoring to the ICP community that target knowledge deficits and the embedded culture that embraces the status quo. With the current focus on fully electronic surveillance systems that perform surveillance in its entirety without case review, effective use of the data will be dependent on ICP skills and their understanding of the strengths and limitations of output from algorithmic detection models.