In Situ Simulation for Adoption of New Technology to Improve Sepsis Care in Rural Emergency Departments.

OBJECTIVES: The aims of the study were to evaluate whether in situ (on-site) simulation training is associated with increased telemedicine use for patients presenting to rural emergency departments (EDs) with severe sepsis and septic shock and to evaluate the association between simulation training and telehealth with acute sepsis bundle (SEP-1) compliance and mortality. METHODS: This was a quasi-experimental study of patients presenting to 2 rural EDs with severe sepsis and/or septic shock before and after rollout of in situ simulation training that included education on sepsis management and the use of telehealth. Unadjusted and adjusted analyses were conducted to describe the association of simulation training with sepsis process of care markers and with mortality. RESULTS: The study included 1753 patients, from 2 rural EDs, 629 presented before training and 1124 presented after training. There were no differences in patient characteristics between the 2 groups. Compliance with several SEP-1 bundle components improved after training: antibiotics within 3 hours, intravenous fluid administration, repeat lactic acid assessment, and vasopressor administration. The use of telemedicine increased from 2% to 5% after training. Use of telemedicine was associated with increases in repeat lactic acid assessment and reassessment for septic shock. We did not demonstrate an improvement in mortality across either of the 2 group comparisons. CONCLUSIONS: We demonstrate an association between simulation and improved care delivery. Implementing an in situ simulation curriculum in rural EDs was associated with a small increase in the use of telemedicine and improvements in sepsis process of care markers but did not demonstrate improvement in mortality. The small increase in telemedicine limited conclusions on its impact.

A novel in situ simulation framework for introduction of a new technology: the 3-Act-3-Debrief model.

BACKGROUND: New technologies for clinical staff are typically introduced via an "in-service" that focuses on knowledge and technical skill. Successful adoption of new healthcare technologies is influenced by multiple other factors as described by the Consolidated Framework in Implementation Research (CFIR). A simulation-based introduction to new technologies provides opportunity to intentionally address specific factors that influence adoption. METHODS: The new technology proposed for adoption was a telehealth cart that provided direct video communication with electronic intensive care unit (eICU) staff for a rural Emergency Department (ED). A novel 3-Act-3-Debrief in situ simulation structure was created to target predictive constructs from the CFIR and connect debriefing to specific workflows. The structure and content of the simulation in relation to the framework is described. Participants completed surveys pre-simulation/post-simulation to measure change in their readiness to adopt the new technology. RESULTS: The scenario was designed and pilot tested before implementation at two rural EDs. There were 60 interprofessional participants across the 2 sites, with 58 pre-simulation and 59 post-simulation surveys completed. The post-simulation mean ratings for each readiness measure (feasibility, quality, resource availability, role clarity, staff receptiveness, and tech usability) increased significantly as a result of the simulation experience. CONCLUSIONS: A novel 3-stage simulation-debriefing structure positively targets factors influencing the adoption of new healthcare technologies.

A Simple Low-Cost Method to Integrate Telehealth Interprofessional Team Members During In Situ Simulation.

INTRODUCTION: With the growth of telehealth, simulation personnel will be called upon to support training that integrates these new technologies and processes. We sought to integrate remote telehealth electronic intensive care unit (eICU) personnel into in situ simulations with rural emergency department (ED) care teams. We describe how we overcame technical challenges of creating shared awareness of the patient's condition and the care team's progress among those executing the simulation, the care team, and the eICU. METHODS: The objective of the simulations was to introduce telehealth technology and new processes of engaging the eICU via telehealth during sepsis care in 2 rural EDs. Scenario development included experts in sepsis, telehealth, and emergency medicine. We describe the operational systems challenges, alternatives considered, and solutions used. Participants completed surveys on self-confidence presimulation/postsimulation in using telehealth and in managing patients with sepsis (1-10 Likert scale, with 10 "completely confident"). Pre-post responses were compared by two-tailed paired t test. RESULTS: We successfully engaged the staff of two EDs: 42 nurses, 9 physicians or advanced practice providers, and 9 technicians (N = 60). We used a shared in situ simulation clinical actions observational checklist, created within an off-the-shelf survey software program, completed during the simulations by an on-site observer, and shared with the eICU team via teleconferencing software, to message and cue eICU nurse engagement. The eICU nurse also participated in debriefing via the telehealth video system with successful simulation engagement. These solutions avoided interfering with real ED or eICU operations. The postsimulation mean ± SD ratings of confidence using telehealth increased from 5.3 ± 2.9 to 8.9 ± 1.1 (Δ3.5, P < 0.05) and in managing patients with sepsis increased from 7.1 ± 2.5 to 8.9 ± 1.1 (Δ1.8, P < 0.05). CONCLUSIONS: We created shared awareness between remote eICU personnel and in situ simulations in rural EDs via a low-cost method using survey software combined with teleconferencing methods.

Allergies, antibiotics use, and multiple sclerosis.

BACKGROUND: The associations between allergies, antibiotics use, and multiple sclerosis (MS) remain controversial and their mediating or moderating effects have not yet been examined. We aimed to assess the direct and indirect influences of allergies and antibiotics use on MS development, and their interactions. METHODS: A 1:3 matched case-control study was performed using the National Ambulatory Medical Care Survey database from 2006 to 2013 in the USA. Multiple sclerosis was identified based on the ICD-9 code (340.0) in any position. Cases were matched to their controls based on survey year, age, gender, race, payer type, region, and tobacco use. Allergy diseases and antibiotics prescriptions were extracted by ICD-9 code and drug classification code, respectively. Both generalized structural equation model and MacArthur approach were used to examine their intrinsic relationships. RESULTS: The weighted prevalence of MS was 133.7 per 100,000 visits. A total of 829 MS patients and 2441 controls were matched. Both respiratory tract allergies (OR = 0.29, 95% CI: 0.18, 0.49) and other allergies (OR = 0.38, 95% CI: 0.19, 0.77) were associated with a reduction of the risk of MS. Patients with respiratory tract allergies were more likely to use penicillin (OR = 8.73, 95% CI: 4.12, 18.53) and other antibiotics (OR = 3.77, 95% CI: 2.72, 5.21), and those with other allergies had a higher likelihood of penicillin use (OR = 4.15, 95% CI: 1.27, 13.54); however, the link between antibiotics use and MS was not confirmed although penicillin use might mediate the relationship between allergies and MS. CONCLUSIONS: The findings supported allergy as a protective factor for MS development. We also suggest antibiotics use might not be a suitable indicator of bacterial infection to investigate the cause of MS.