National survey of infectious disease fellowship program directors: A call for subspecialized training in infection prevention and control and healthcare epidemiology.

OBJECTIVE: The importance of infection prevention and control and healthcare epidemiology (IPC/HE) in healthcare facilities was highlighted during the COVID-19 pandemic. Infectious disease (ID) clinicians often hold leadership positions in IPC/HE teams; however, there is no standard for training or certification of ID physicians specializing in IPC/HE. We evaluated the current state of IPC/HE training in ID fellowship programs. DESIGN: A national survey of ID fellowship program directors was conducted to assess current IPC/HE training components in programs and plans for expanded offerings. SETTING AND PARTICIPANTS: All ID fellowship program directors in the United States and Puerto Rico. METHODS: Surveys were distributed using Research Electronic Data Capture (REDCap) to program directors in March 2023, with 2 reminder emails; the survey closed after 4 weeks. RESULTS: Of 166 program directors, 54 (32.5%) responded to the survey. Among respondent programs, 49 (90.7%) of 54 programs reported didactic training in IPC/HE averaging 4.4 hours over the course of the fellowship. Also, 18 (33.3%) of 54 reported a dedicated IPC/HE training track. Furthermore, 23 programs (42.6%) reported barriers to expanding training. There was support (n = 47, 87.0%) for formal IPC/HE certification from a professional society within the standard fellowship. CONCLUSIONS: Despite the COVID-19 pandemic highlighting the need for ID medical doctors with IPC/HE expertise, formal training in ID fellowship remains limited. Most program directors support formalization of IPC/HE training by a professional organization. Creation of standardized advanced curriculums for ID fellowship training in IPC/HE could be considered by the Society of Healthcare Epidemiology of America (SHEA) to grow, retain, and enhance the IPC/HE physician workforce.

Development and deployment of tools for rapid response notification of Monkeypox exposure, exposure risk assessment and stratification, and symptom monitoring.

OBJECTIVES: Public health authorities recommend symptom monitoring of healthcare personnel (HCP) after defined exposures to monkeypox. We report on the rapid development and implementation of mobile responsive survey solutions for notification of possible exposure, exposure risk assessment and stratification, and symptom monitoring. SETTING: An academic health center in Boston, Massachusetts, after admission of first diagnosed case of monkeypox in the United States during the current global outbreak. PARTICIPANTS: Research Electronic Data Capture (REDCap) design and programmers, infection control, occupational health, and emergency preparedness specialists, and HCP with possible exposure to monkeypox. INTERVENTIONS: Design and deployment of REDCap tools to identify HCP with possible exposure to monkeypox, to perform exposure risk assessment and stratification for postexposure prophylaxis (PEP), and to conduct symptom monitoring during the exposure window. Project enhancements included dashboards for HCP tracking and short message service (SMS text) reminders for symptom monitoring. RESULTS: Tools to support the contact tracing and exposure investigation were deployed within 24 hours of identification of a patient with suspected monkeypox, with the full suite in production within 4 days of confirmation of the monkeypox diagnosis. Clinical follow-up of HCP was integrated into the design, and real-time versioning allowed for improvements in HCP symptom monitoring compliance and enhanced tracking. CONCLUSIONS: During the current monkeypox outbreak, timely and comprehensive evaluation of potential HCP exposures is necessary but presents logistical challenges. Rapid development of monkeypox-specific solutions using REDCap facilitated flexibility in design and approach, and integration of targeted clinical support enhanced functionality.

Penicillin Allergy Assessment in Pregnancy: Safety and Impact on Antibiotic Use.

BACKGROUND: Penicillin and other beta-lactam antibiotics are recommended for group B Streptococcus and cesarean section prophylaxis, but approximately 10% of pregnant patients report a penicillin allergy. OBJECTIVE: To assess the safety and impact of penicillin allergy evaluation in pregnant patients. METHODS: In this retrospective study of obstetrician-ordered Allergy/Immunology (AI) electronic consultations (e-consults) from September 20, 2017 through December 31, 2019, we reviewed the electronic health record for e-consult recommendation; patient demographic, obstetric, and allergy histories; and peripartum antibiotic utilization with indication. For patients whose electronic consultation recommended an in-person AI evaluation, testing outcomes were determined, and multivariable logistic regression models were used to compare antibiotic use between patients who did and did not receive an in-person AI evaluation. RESULTS: Of 389 obstetrician-ordered e-consults, 363 (93%) recommended an in-person AI evaluation; of these, 222 (61%) patients received an in-person AI evaluation. Of 220 (99%) patients skin tested, 209 (95%) had their penicillin allergy label safely removed. Compared with patients who did not receive an in-person AI evaluation despite it being recommended (n = 141), patients with in-person AI evaluation (n = 222) had reduced peripartum vancomycin (adjusted odds ratio [aOR], 0.07; 95% CI, 0.01-0.33), clindamycin (aOR, 0.17; 95% CI, 0.08-0.34), and gentamicin (aOR, 0.39; 95% CI, 0.19-0.78) use and increased penicillin (aOR, 18.0; 95% CI, 6.30-51.2) use. The fully AI evaluated patients had increased first-line antibiotic prophylaxis for group B Streptococcus (aOR, 26.9; 95% CI, 6.32-114) and cesarean section (aOR, 1.94; 95% CI, 1.06-3.52). CONCLUSIONS: In a sample of 220 pregnant patients with penicillin allergy histories and in-person AI evaluation, penicillin allergy testing was safe and associated with significantly reduced broad-spectrum antibiotic use and increased first-line beta-lactam antibiotic use.

Development and Assessment of Objective Surveillance Definitions for Nonventilator Hospital-Acquired Pneumonia.

Importance: Hospital-acquired pneumonia is the most common health care-associated infection in the United States. Most cases occur in nonventilated patients, but many hospitals track hospital-acquired pneumonia only in ventilated patients because of the complexity and subjectivity of conducting surveillance for large numbers of nonventilated patients. Objective: To propose and assess potentially objective, efficient, and reproducible surveillance definitions for nonventilator hospital-acquired pneumonia (NV-HAP) using routine clinical data stored in electronic health record systems. Design, Setting, and Participants: This cohort study was conducted in 2 tertiary referral and 2 community hospitals in Massachusetts between May 31, 2015, and July 1, 2018. All nonventilated patients aged 18 years or older who were admitted to these hospitals were included (N = 310 651). Exposures: Ten candidate definitions for NV-HAP based on clinically meaningful combinations of 6 potential surveillance criteria were proposed: worsening oxygenation, temperature higher than 38 °C (fever), abnormal white blood cell count of less than 4000/µL or more than 12 000/µL, performance of chest imaging, submission of respiratory specimen for culture, and 3 or more days of new antibiotics. Main Outcomes and Measures: Incidence rates, lengths of stay, hospital mortality rates, and odds ratios (ORs) for time to discharge and mortality compared with those of matched controls were calculated for each candidate definition. The ORs were adjusted for demographics, clinical service, comorbidities, and severity of illness. Results: The study analyzed 310 651 patients with 489 519 admissions, including 205 054 patients with 311 484 admissions of 3 or more days. Among the patients with 311 484 admissions, the mean (SD) patient age was 58.3 (19.3) years and 176 936 (56.8%) were of women. Incidence rates for candidate definitions per 100 admissions ranged from 3.4 events for worsening oxygenation alone to 0.9 event for worsening oxygenation and at least 3 days of new antibiotics to 0.6 event for worsening oxygenation, at least 3 days of new antibiotics, fever, abnormal white blood cell count, and performance of chest imaging. Crude mortality rates ranged from 16.1% (n = 2643) for patients with worsening oxygen alone to 27.7% (n = 868) for patients with worsening oxygenation, at least 3 days of antibiotics, fever or abnormal white blood cell count, and chest imaging. Patients who met NV-HAP candidate definitions remained in the hospital for twice as long as their matched controls (adjusted ORs ranged from 1.8 [95% CI, 1.7-1.8] to 2.1 [95% CI, 2.0-2.1]) and were 4 to 6 times as likely to die in the hospital (adjusted ORs ranged from 3.8 [95% CI, 3.5-4.0] to 6.5 [95% CI, 5.2-8.2]). Agreement between candidate definitions and clinical diagnoses was fair (κ = 0.33). Conclusions and Relevance: These findings suggest that objective surveillance for NV-HAP using electronically computable definitions that incorporate common clinical criteria is feasible and generates incidence, mortality, and adjusted ORs for hospital mortality similar to estimates from manual surveillance. These definitions have the potential to facilitate widespread, automated surveillance for NV-HAP and thus inform the development and evaluation of prevention programs.

A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers.

OBJECTIVE An estimated 293,300 healthcare-associated cases of Clostridium difficile infection (CDI) occur annually in the United States. To date, research has focused on developing risk prediction models for CDI that work well across institutions. However, this one-size-fits-all approach ignores important hospital-specific factors. We focus on a generalizable method for building facility-specific models. We demonstrate the applicability of the approach using electronic health records (EHR) from the University of Michigan Hospitals (UM) and the Massachusetts General Hospital (MGH). METHODS We utilized EHR data from 191,014 adult admissions to UM and 65,718 adult admissions to MGH. We extracted patient demographics, admission details, patient history, and daily hospitalization details, resulting in 4,836 features from patients at UM and 1,837 from patients at MGH. We used L2 regularized logistic regression to learn the models, and we measured the discriminative performance of the models on held-out data from each hospital. RESULTS Using the UM and MGH test data, the models achieved area under the receiver operating characteristic curve (AUROC) values of 0.82 (95% confidence interval [CI], 0.80-0.84) and 0.75 ( 95% CI, 0.73-0.78), respectively. Some predictive factors were shared between the 2 models, but many of the top predictive factors differed between facilities. CONCLUSION A data-driven approach to building models for estimating daily patient risk for CDI was used to build institution-specific models at 2 large hospitals with different patient populations and EHR systems. In contrast to traditional approaches that focus on developing models that apply across hospitals, our generalizable approach yields risk-stratification models tailored to an institution. These hospital-specific models allow for earlier and more accurate identification of high-risk patients and better targeting of infection prevention strategies. Infect Control Hosp Epidemiol 2018;39:425-433.

Impact of rapid screening for discontinuation of methicillin-resistant Staphylococcus aureus contact precautions.

BACKGROUND: A history of methicillin-resistant Staphylococcus aureus (MRSA) is a determinant of inpatient bed assignment. METHODS: We assessed outcomes associated with rapid testing and discontinuation of MRSA contact precautions (CP) in a prospective cohort study of polymerase chain reaction (PCR)-based screening in the Emergency Department (ED) of Massachusetts General Hospital. Eligible patients had a history of MRSA and were assessed and enrolled if documented off antibiotics with activity against MRSA and screened for nasal colonization (subject visit). PCR-negative subjects had CP discontinued; the primary outcome was CP discontinuation. We identified semiprivate rooms in which a bed was vacant owing to the CP status of the study subject, calculated the hours of vacancy, and compared idle bed-hours by PCR results. Program costs were compared with predicted revenue. RESULTS: There were 2864 eligible patients, and 648 (22.6%) subject visits were enrolled. Of these, 65.1% (422/648) were PCR-negative and had CP discontinued. PCR-negative subjects had fewer idle bed-hours compared with PCR-positive subjects (28.6 ± 25.2 vs 75.3 ± 70.5; P < .001). The expected revenues from occupied idle beds and averted CP costs ranged from $214,160 to $268,340, and exceeded the program costs. CONCLUSION: A program of targeted PCR-based screening for clearance of MRSA colonization resulted in expected revenues and decreased CP costs that outweighed programmatic costs.

Resource burden associated with contact precautions for methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus: the patient access managers' perspective.

We surveyed patient access managers on the impact of contact precautions (CP) for methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococcus (VRE) on time to bed assignment, and we investigated the factors influencing infection control policies allowing for discontinuation of CP. The majority of respondents reported an increase in time to bed assignment for patients with a history of MRSA and/or VRE infection or colonization.