Use of simulation to assess incoming interns’ recognition of opportunities to choose wisely
BACKGROUND
Despite increasing healthcare costs, training on cost-consciousness is lacking in graduate medical education (GME). Medical centers must consider how best to incorporate value-based training into their GME curricula.
OBJECTIVE
To incorporate low-value principles into an existing GME simulation exercise and assess incoming interns’ recognition of low-value care.
METHODS
Choosing Wisely™ lists were reviewed to identify 4 low-value hazards to be embedded into a simulated hospital room in addition to the 8 patient safety hazards used previously. Interns were given 10 minutes to independently review a mock chart and list all hazards they identified in the simulation. Interns completed a short survey on their prior training in medical school and a follow-up survey one month into internship. T tests used to compare identification of low-value vs safety hazards and to associate performance with prior training.
RESULTS
The mean percentage of hazards correctly identified was 50.4% (standard deviation [SD] 11.8%). Interns identified significantly fewer low-value hazards (mean 19.2%, SD 18.6%) than safety hazards (mean 66.0%, SD 16.0%; P < .001). For example, while 96% of interns identified the hand hygiene hazard, only 6% identified the unnecessary blood transfusion and none identified the unnecessary stress ulcer prophylaxis. Interns who self-reported as confident in their ability to identify hazards were not any more likely to correctly identify hazards than those who were not confident.
CONCLUSIONS
The “Room of Horrors” simulation revealed poor awareness of low-value care among interns. The simulation highlights a promising model for the prioritization and inclusion of value-based experiential training in GME. Journal of Hospital Medicine 2017;12:493-497. © 2017 Society of Hospital Medicine
© 2017 Society of Hospital Medicine
Program Description
A simulation of an inpatient hospital room, known as the “Room of Horrors,” was constructed in collaboration with the University of Chicago Simulation Center and adapted from a previous version of the exercise.11 The simulation consisted of a mock door chart highlighting the patient had been admitted for diarrhea (Clostridium difficile positive) following a recent hospitalization for pneumonia. A clinical scenario was constructed by using a patient mannequin and an accompanying door chart that listed information on the patient’s hospital course, allergies, and medications. In addition to the 8 patient safety hazards utilized in the prior version, our team selected 4 low-value hazards to be included in the simulation.
The 8 safety hazards have been detailed in a prior study and were previously selected from Medicare’s Hospital-Acquired Conditions (HAC) Reduction Program and Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators.11-13 Each of the hazards was represented either physically in the simulation room and/or was indicated on the patient’s chart. For example, the latex allergy hazard was represented by latex gloves at the bedside despite an allergy indicated on the patient’s chart and wristband. A complete list of the 8 safety hazards and their representations in the simulation is shown in Table 1.
The Choosing Wisely™ lists were reviewed to identify low-value hazards for addition to the simulation.14 Our team selected 3 low-value hazards from the Society of Hospital Medicine (SHM) list,15 including (1) arbitrary blood transfusion despite the patient’s stable hemoglobin level of 8.0 g/dL and absence of cardiac symptoms,16 (2) addition of a proton pump inhibitor (PPI) for stress ulcer prophylaxis in a patient without high risk for gastrointestinal (GI) complications who was not on a PPI prior to admission, and (3) placement of a urinary catheter without medical indication. We had originally selected continuous telemetry monitoring as a fourth hazard from the SHM list, but were unable to operationalize, as it was difficult to simulate continuous telemetry on a mannequin. Because many inpatients are older than 65 years, we reviewed the American Geriatrics Society list17 and selected our fourth low-value hazard: (4) unnecessary use of physical restraints to manage behavioral symptoms in a hospitalized patient with delirium. Several of these hazards were also quality and safety priorities at our institution, including the overuse of urinary catheters, physical restraints, and blood transfusions. All 4 low-value hazards were referenced in the patient’s door chart, and 3 were also physically represented in the room via presence of a hanging unit of blood, Foley catheter, and upper-arm restraints (Table 1). See Appendix for a photograph of the simulation setup.
Each intern was allowed 10 minutes inside the simulation room. During this time, they were instructed to read the 1-page door chart, inspect the simulation room, and write down as many potential low-value and safety hazards as they could identify on a free-response form (see Appendix). Upon exiting the room, they were allotted 5 additional minutes to complete their free-response answers and provide written feedback on the simulation. The simulation was conducted in 3 simulated hospital rooms over the course of 2 days, and the correct answers were provided via e-mail after all interns had completed the exercise.
To assess prior training and safety knowledge, interns were asked to complete a 3-question preassessment on a ScanTronTM (Tustin, CA) form. The preassessment asked interns whether they had received training on hospital safety during medical school (yes, no, or unsure), if they were satisfied with the hospital safety training they received during medical school (strongly disagree to strongly agree on a Likert scale), and if they were confident in their ability to identify potential hazards in a hospital setting (strongly disagree to strongly agree). Interns were also given the opportunity to provide feedback on the simulation experience on the ScanTronTM (Tustin, CA) form.
One month after participating in the simulation, interns were asked to complete an online follow-up survey on MedHubTM (Ann Arbor, MI), which included 2 Likert-scale questions (strongly disagree to strongly agree) assessing the simulation’s impact on their experience mitigating hospital hazards during the first month of internship.
Data Analysis
Interns’ free-response answers were manually coded, and descriptive statistics were used to summarize the mean percent correct for each hazard. A paired t test was used to compare intern identification of low-value vs safety hazards. T tests were used to compare hazard identification for interns entering highly procedural-intensive specialties (ie, surgical specialties, emergency medicine, anesthesia, obstetrics/gynecology) and those entering less procedural-intensive specialties (ie, internal medicine, pediatrics, psychiatry), as well as among those graduating from “Top 30” medical schools (based on US News & World Report Medical School Rankings18) and our own institution. One-way analysis of variance (ANOVA) calculations were used to test for differences in hazard identification based on interns’ prior hospital safety training, with interns who rated their satisfaction with prior training or confidence in identifying hazards as a “4” or a “5” considered “satisfied” and “confident,” respectively. Responses to the MedHubTM (Ann Arbor, MI) survey were dichotomized with “strongly agree” and “agree” considered positive responses. Statistical significance was defined at P < .05. All data analysis was conducted using Stata 14TM software (College Station, TX).