Use of Retired Infection Preventionists to Supplement Infection Prevention Department Staffing

2021 ◽  
Vol 49 (6) ◽  
pp. S9-S10
Author(s):  
Holly Taylor
2014 ◽  
Vol 35 (7) ◽  
pp. 891-893 ◽  
Author(s):  
Max Masnick ◽  
Daniel J. Morgan ◽  
Marc-Oliver Wright ◽  
Michael Y. Lin ◽  
Lisa Pineles ◽  
...  

We surveyed hospital epidemiologists and infection preventionists on their usage of and satisfaction with infection prevention–specific software supplementing their institution’s electronic medical record. Respondents with supplemental software were more satisfied with their software’s infection prevention and antimicrobial stewardship capabilities than those without. Infection preventionists were more satisfied than hospital epidemiologists.Infect Control Hosp Epidemiol 2014;35(7):891–893


2020 ◽  
Vol 41 (9) ◽  
pp. 1016-1021
Author(s):  
Meghan A. Baker ◽  
Deborah S. Yokoe ◽  
John Stelling ◽  
Ken Kleinman ◽  
Rebecca E. Kaganov ◽  
...  

AbstractObjective:To assess the utility of an automated, statistically-based outbreak detection system to identify clusters of hospital-acquired microorganisms.Design:Multicenter retrospective cohort study.Setting:The study included 43 hospitals using a common infection prevention surveillance system.Methods:A space–time permutation scan statistic was applied to hospital microbiology, admission, discharge, and transfer data to identify clustering of microorganisms within hospital locations and services. Infection preventionists were asked to rate the importance of each cluster. A convenience sample of 10 hospitals also provided information about clusters previously identified through their usual surveillance methods.Results:We identified 230 clusters in 43 hospitals involving Gram-positive and -negative bacteria and fungi. Half of the clusters progressed after initial detection, suggesting that early detection could trigger interventions to curtail further spread. Infection preventionists reported that they would have wanted to be alerted about 81% of these clusters. Factors associated with clusters judged to be moderately or highly concerning included high statistical significance, large size, and clusters involving Clostridioides difficile or multidrug-resistant organisms. Based on comparison data provided by the convenience sample of hospitals, only 9 (18%) of 51 clusters detected by usual surveillance met statistical significance, and of the 70 clusters not previously detected, 58 (83%) involved organisms not routinely targeted by the hospitals’ surveillance programs. All infection prevention programs felt that an automated outbreak detection tool would improve their ability to detect outbreaks and streamline their work.Conclusions:Automated, statistically-based outbreak detection can increase the consistency, scope, and comprehensiveness of detecting hospital-associated transmission.


Author(s):  
Pediatric Infectious Diseases S... PIDS

In the fields of healthcare epidemiology and infection prevention, evidence to guide pediatric practice has been lacking for quite some time. However, in the past few decades, more and more pediatric clinicians, researchers, epidemiologists, and infection preventionists have been contributing to this important field. This textbook discusses topics that pediatric providers must tackle in many settings: in ambulatory clinics, emergency departments, community hospitals, and freestanding university children’s hospitals. Each chapter opens with a clinical scenario (perhaps you have dealt with a few of these scenarios in real life), and follows with questions that are frequently raised when a solution is sought.


2020 ◽  
Vol 41 (S1) ◽  
pp. s280-s280
Author(s):  
Lauren Le Goff ◽  
Sarah Smathers ◽  
Lauren Satchell ◽  
Lori Handy ◽  
Julia Sammons

Background: Mandatory reporting of all healthcare-associated infections (HAIs) leads to substantial surveillance volume for infection prevention and control (IPC) programs. Prior to 2019, 6 infection preventionists were performing system-wide surveillance for all infection types using NHSN definitions at a large quaternary-care center in Pennsylvania. Limited surveillance validation was performed. With the continued expansion of the health system, increased demands for IPC expertise, and a growing team, the need for streamlined surveillance, and a validation program were identified. Methods: A surveillance training program for novice team members was developed and implemented. Infection prevention associates (IPAs), whose primary role was data management, began training. The new program included NHSN training videos, direct observation of surveillance with infection preventionists and practice case studies. Following training, IPAs performed surveillance for experienced infection preventionists covering high-risk inpatient units. To ensure high reliability, surveillance validation was initiated. Each month, ~10% of investigated infections were randomly pulled from the electronic surveillance system and divided among experienced infection preventionists. These validators performed unbiased reviews of the charts based on limited data, including patient demographics and culture results. Validation documentation included noting whether an infection was reportable to NHSN and a rationale. Data on whether or not each patient had a complex medical history and time spent validating each case were collected. Compliance of validator documentation aligning with original documentation was tracked. Discrepancies were discussed as a team and were adjudicated as needed. IPAs tracked hours spent on surveillance to capture effort transitioned from infection preventionists. Results: Between March and July 2019, an average of 223 (range, 178–261) potential infections were reviewed per month. From March through June 2019, 61 infections were selected for validation, with 98% compliance with original documentation. One minor discrepancy was attributed to interpretation of documentation in the medical record. Medical complexity accounted for 78% of reviews and validation time spent averaged 12 minutes per infection (range, 3–28 minutes). Self-reported effort directed from infection preventionists to 2 IPAs for surveillance was ~20 hours per week. An additional IPA was hired to perform surveillance in addition to other job responsibilities. Conclusions: Centralized surveillance programs can promote high reliability and cost-efficient IPC staffing for large healthcare systems, especially those with mandatory reporting requirements or medically complex patient populations. Improving surveillance skills among associate staff can increase experienced infection preventionist bandwidth for project management, staff supervision, and other leadership responsibilities. Lastly, validation programs are crucial to ensuring quality assurance of data reporting to both internal and external stakeholders.Funding: NoneDisclosures: None


2020 ◽  
Vol 41 (S1) ◽  
pp. s100-s100
Author(s):  
Carolee Estelle ◽  
Julie Trivedi ◽  
Patricia Jackson ◽  
Doramarie Arocha ◽  
Wendy Chung ◽  
...  

Background: In the setting of global warming, natural disasters are increasing in pace and scope. Although natural disasters themselves do not cause outbreaks, the breakdowns in sanitary infrastructure and the displacement of populations, often to crowded shelters, have caused outbreaks. On August 26, 2017, category 4 hurricane Harvey made landfall near Corpus Christi, Texas, causing catastrophic flooding and displacing >30,000 residents from the Southern Gulf Coast region. Dallas accepted >3,800 evacuees at the Kay Bailey Hutchison Convention Center mega-shelter for 23 days, where a medical clinic was erected in the convention center parking garage. The medical clinic uniquely included a dedicated infection prevention team composed of local volunteer infection preventionists, healthcare epidemiologists, infectious diseases providers, and health department personnel. Methods: Evacuees were housed at the Dallas mega-shelter from August 29 through September 20. The infection prevention team maintained a presence of 3–4 members during clinical operations in shifts. The team conducted an initial needs assessment upon opening of the shelter medical clinic, facilitated acquisition of adequate numbers of hand sanitizer stations, sinks with running water, portable hand-washing stations, portable toilets and showers, and cleaning products. The infection prevention team coordinated and oversaw environmental cleaning services (EVS) carried out by local hospital EVS staff. Protocols for cleaning, disinfection, communicable disease testing, isolation, and treatment were created. In addition, education and training materials for the implementation of these protocols were distributed to volunteer staff. The infection preventionists created and provided oversight of the designated isolation units for respiratory, gastrointestinal and dermatologic infections of outbreak potential. Infection prevention rounding tools were developed and executed daily in the clinic, at the on-site daycare center, dining area, and the general shelter dormitory. Vaccination for influenza was formalized under a protocol and administered at the clinic and via mobile vaccination teams in the chronic illness section of the dormitory. Results: In tota3,829 residents were housed at the mega-shelter for 23 days. Moreover, 1,560 patients were seen in 2,654 clinic visits at the shelter medical clinic. In total, 48 (19%) clinic visits were for respiratory symptoms, 228 (9%) were for dermatologic problems, and 215 (8%) were for gastrointestinal symptoms. Also, 32 patients were referred to the isolation unit within the clinic. Overall, 98 influenza vaccines were administered. There was 1 confirmed case of influenza and 1 confirmed case of norovirus. Conclusions: No known transmission of communicable diseases occurred in this long-term, natural disaster–related mega-shelter, likely attributed to having a comprehensive infection prevention team of on-site volunteers available throughout the shelter operation. This model should be considered in future large-scale shelter settings to prevent disease transmission.Disclosures: NoneFunding: None


2013 ◽  
Vol 34 (11) ◽  
pp. 1229-1230 ◽  
Author(s):  
Sarah S. Lewis ◽  
Rebekah W. Moehring ◽  
Luke F. Chen ◽  
Daniel J. Sexton ◽  
Deverick J. Anderson

Hospital-acquired infections (HAIs) occur commonly, cause significant harm to patients, and result in excess healthcare expenditures. The urinary tract is frequently cited as the most common site of HAI, but these estimates were extrapolated from National Nosocomial Infection Surveillance (NNIS) data from the 1990s. Updated information regarding the relative burden of specific types of HAIs would help governmental agencies and other stakeholders within the field of infection prevention to prioritize areas for research and innovation. The objective of our study was to assess the relative proportion of HAIs attributed to each of the following 5 types of infection in a network of community hospitals: catheter-associated urinary tract infection (CAUTI), surgical site infection (SSI), ventilator-associated pneumonia (VAP), central line–associated bloodstream infection (CLABSI), and Clostridium difficile infection (CDI).We performed a retrospective cohort study using prospectively collected HAI surveillance data from hospitals participating in the Duke Infection Control Outreach Network (DICON). DICON hospital epidemiologists and liaison infection preventionists work directly with local hospital infection preventionists to provide surveillance data validation, benchmarking, and infection prevention consultation services to participating hospitals.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S591-S591
Author(s):  
Mayar Al Mohajer ◽  
Takei Pipkins ◽  
Robert Atmar ◽  
Maria Rodriguez- Barradas ◽  
Edward Young ◽  
...  

Abstract Background Infection prevention and antibiotic stewardship are critical to the safe and effective delivery of patient care. The primary objective of this fellowship rotation is to train infectious diseases fellows to develop key competencies in the fields of infection prevention and antibiotic stewardship. Methods We implemented an infection prevention and antibiotic stewardship rotation for the first-year infectious disease fellows starting July 2017. This new one-month rotation included several lectures by infectious diseases physicians, infection preventionists and pharmacists. Fellows rounded with infection preventionists (isolation, device, environmental, and endoscopy rounds) and participated in infection control subcommittees (CLABSI, CAUTI, Clostridioides difficile colitis and surgical site infections). Fellows were required to present infection control data and develop a proposal for a quality improvement project using the Define, Measure, Analyze, Improve and Control (DMAIC) method. Knowledge was evaluated through a 25 item questionnaire administered before (pre) and after (post) rotation. Topics included definitions, surveillance, isolation, preventive methods, outbreak investigation, policies, antibiotic stewardship, healthcare economics, and leadership. Results Sixteen fellows have participated in the rotation (2017-2019); all completed the pre- and post- evaluations (same questionnaire). Fellows answered a mean of 11.1/25 questions correctly pre-course (SD 2.3). Scores improved significantly to a mean of 21.2/25 correct answers at the end of the course (SD 2.6, P< 0.001). All fellows presented quality improvement proposals at the end of the rotation, with a mean score of 85.7% (SD 4.6). The fellows were highly satisfied with the course with mean evaluation score 6.2/7 (88.5%). Conclusion The one month duration infection control and antibiotic stewardship rotation that provides basic training in the field at the beginning of the fellowship led to significant improvement in the fellows’ knowledge, and was very well received. An additional track has been implemented during the second year to prepare interested fellows for careers in infection control and/or antibiotic stewardship. Disclosures All Authors: No reported disclosures


2015 ◽  
Vol 23 (3) ◽  
pp. 379-392 ◽  
Author(s):  
Heather M. Gilmartin ◽  
Monika Pogorzelska-Maziarz ◽  
Sarah Thompson ◽  
Karen H. Sousa

Background: Health care-associated infections (HAIs) are leading causes of morbidity and mortality. Prevention of HAIs requires multifaceted approaches that consider the work environment in which interventions are implemented. Purpose: This study assessed the construct validity of the Relational Coordination Survey (RCS) as a measure of the work environment in infection prevention departments. Methods: Data were obtained from 614 infection preventionists (IPs). Factor analysis and structural equation modeling tested the hypothesized model. Results: Cronbach’s alpha for the 28-item RCS was .91. Factor analyses confirmed a four-factor solution that explained 58.17% of the variance. The fit indices for the model indicated an adequate fit, χ2(346) = 699.38, p < .00; comparative fit index = .94; root mean square error of approximation = .06. Conclusions: The RCS may be a useful tool for measuring aspects of the work environment for IPs.


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