Do Lower Costs for Applicants Come at the Expense of Program Perception? A Cross-Sectional Survey Study of Virtual Residency Interviews.

Background: Travel costs and application fees make in-person residency interviews expensive, compounding existing financial burdens on medical students. We hypothesized virtual interviews (VI) would be associated with decreased costs for applicants compared to in-person interviews (IPI) but at the expense of gathering information with which to assess the program. Objective: To survey senior medical students and postgraduate year (PGY)-1 residents regarding their financial burden and program perception during virtual versus in-person interviews. Methods: The authors conducted a single center, multispecialty study comparing costs of IPI vs VI from 2020-2021. Fourth-year medical students and PGY-1 residents completed one-time surveys regarding interview costs and program perception. The authors compared responses between IPI and VI groups. Potential debt accrual was calculated for 3- and 7-year residencies. Results: Two hundred fifty-two (of 884, 29%) surveys were completed comprising 75 of 169 (44%) IPI and 177 of 715 (25%) VI respondents. The VI group had significantly lower interview costs compared to the IPI group (median $1,000 [$469-$2,050 IQR] $784-$1,216 99% CI vs $3,200 [$1,700-$5,500 IQR] $2,404-$3,996 99% CI, P<.001). The VI group scored lower for feeling the interview process was an accurate representation of the residency program (3.3 [0.5] vs 4.1 [0.7], P<.001). Assuming interview costs were completely loan-funded, the IPI group will have accumulated potential total loan amounts $2,334 higher than the VI group at 2% interest and $2,620 at 6% interest. These differences were magnified for a 7-year residency. Conclusions: Virtual interviews save applicants thousands of dollars at the expense of their perception of the residency program.

Comparing Trainee and Staff Perceptions of Patient Safety Culture.

PURPOSE: The Accreditation Council for Graduate Medical Education implemented the Clinical Learning Environment Review (CLER) program to evaluate and improve the learning environment in teaching hospitals. Hospitals receive a report after a CLER visit with observations about patient safety, among other domains, the accuracy of which is unknown. Thus, the authors set out to identify complementary measures of trainees' patient safety experience. METHOD: In 2014, they administered the Hospital Survey on Patient Safety Culture to residents and fellows and general staff at 10 hospitals in an integrated health system. The survey measured perceptions of patient safety in 12 domains and incorporated two outcome measures (number of medical errors reported and overall patient safety). Domain scores were calculated and compared between trainees and staff. RESULTS: Of 1,426 trainees, 926 responded (65% response rate). Of 18,815 staff, 12,015 responded (64% response rate). Trainees and staff scored five domains similarly-communication openness, facility management support for patient safety, organizational learning/continuous improvement, teamwork across units, and handoffs/transitions of care. Trainees scored four domains higher than staff-nonpunitive response to error, staffing, supervisor/manager expectations and actions promoting patient safety, and teamwork within units. Trainees scored three domains lower than staff-feedback and communication about error, frequency of event reporting, and overall perceptions of patient safety. CONCLUSIONS: Generally, trainees had comparable to more favorable perceptions of patient safety culture compared with staff. They did identify opportunities for improvement though. Hospitals can use perceptions of patient safety culture to complement CLER visit reports to improve patient safety.

Evaluating the Clinical Learning Environment: Resident and Fellow Perceptions of Patient Safety Culture.

BACKGROUND: The Accreditation Council for Graduate Medical Education has begun to evaluate teaching institutions' learning environments with Clinical Learning Environment Review visits, including trainee involvement in institutions' patient safety and quality improvement efforts. OBJECTIVE: We sought to address the dearth of metrics that assess trainee patient safety perceptions of the clinical environment. METHODS: Using the Hospital Survey on Patient Safety Culture (HSOPSC), we measured resident and fellow perceptions of patient safety culture in 50 graduate medical education programs at 10 hospitals within an integrated health system. As institution-specific physician scores were not available, resident and fellow scores on the HSOPSC were compared with national data from 29 162 practicing providers at 543 hospitals. RESULTS: Of the 1337 residents and fellows surveyed, 955 (71.4%) responded. Compared with national practicing providers, trainees had lower perceptions of patient safety culture in 6 of 12 domains, including teamwork within units, organizational learning, management support for patient safety, overall perceptions of patient safety, feedback and communication about error, and communication openness. Higher perceptions were observed for manager/supervisor actions promoting patient safety and for staffing. Perceptions equaled national norms in 4 domains. Perceptions of patient safety culture did not improve with advancing postgraduate year. CONCLUSIONS: Trainees in a large integrated health system have variable perceptions of patient safety culture, as compared with national norms for some practicing providers. Administration of the HSOPSC was feasible and acceptable to trainees, and may be used to track perceptions over time.

Emergency physicians' risk attitudes in acute decompensated heart failure patients.

OBJECTIVES: Despite the existence of various clinical prediction rules, no data exist defining what frequency of death or serious nonfatal outcomes comprises a realistic "low-risk" group for clinicians. This exploratory study sought to identify emergency physicians' (EPs) definition of low-risk acute decompensated heart failure (ADHF) emergency department (ED) patients. METHODS: Surveys were mailed to full-time physicians (n = 88) in a multihospital EP group in southwestern Pennsylvania between December 2004 and February 2005. Participation was voluntary, and each EP was asked to define low risk (low risk of all-cause 30-day death and low risk of either hospital death or other serious medical complications) and choose a risk threshold at which they might consider outpatient management for those with ADHF. A range of choices was offered (<0.5, <1, <2, <3, <4, and <5%), and demographic data were collected. RESULTS: The response rate was 80%. Physicians defined low risk both for all-cause 30-day death and for hospital death or other serious complications, at <1% (38.8 and 40.3%, respectively). The decision threshold to consider outpatient therapy was <0.5% risk both for all-cause 30-day death (44.6%) and for hospital death or serious medical complications (44.4%). CONCLUSIONS: Emergency physicians in this exploratory study define low-risk ADHF patients as having less than a 1% risk of 30-day death or inpatient death or complications. They state a desire to have and use an ADHF clinical prediction rule that can identify low-risk ADHF patients who have less than a 0.5% risk of 30-day death or inpatient death or complications.

Reasons why emergency department providers do not rely on the pneumonia severity index to determine the initial site of treatment for patients with pneumonia.

BACKGROUND: Many emergency department (ED) providers do not follow guideline recommendations for the use of the pneumonia severity index (PSI) to determine the initial site of treatment for patients with community-acquired pneumonia (CAP). We identified the reasons why ED providers hospitalize low-risk patients or manage higher-risk patients as outpatients. METHODS: As a part of a trial to implement a PSI-based guideline for the initial site of treatment of patients with CAP, we analyzed data for patients managed at 12 EDs allocated to a high-intensity guideline implementation strategy study arm. The guideline recommended outpatient care for low-risk patients (nonhypoxemic patients with a PSI risk classification of I, II, or III) and hospitalization for higher-risk patients (hypoxemic patients or patients with a PSI risk classification of IV or V). We asked providers who made guideline-discordant decisions on site of treatment to detail the reasons for nonadherence to guideline recommendations. RESULTS: There were 1,306 patients with CAP (689 low-risk patients and 617 higher-risk patients). Among these patients, physicians admitted 258 (37.4%) of 689 low-risk patients and treated 20 (3.2%) of 617 higher-risk patients as outpatients. The most commonly reported reasons for admitting low-risk patients were the presence of a comorbid illness (178 [71.5%] of 249 patients); a laboratory value, vital sign, or symptom that precluded ED discharge (73 patients [29.3%]); or a recommendation from a primary care or a consulting physician (48 patients [19.3%]). Higher-risk patients were most often treated as outpatients because of a recommendation by a primary care or consulting physician (6 [40.0%] of 15 patients). CONCLUSION: ED providers hospitalize many low-risk patients with CAP, most frequently for a comorbid illness. Although higher-risk patients are infrequently treated as outpatients, this decision is often based on the request of an involved physician.

Comparison of four clinical prediction rules for estimating risk in heart failure.

STUDY OBJECTIVE: We examine the performance of 4 clinical prediction rules prognostic of short-term fatal and hospital-based nonfatal outcomes in heart failure patients. METHODS: We used a retrospective cohort of 33,533 adult patients admitted to Pennsylvania hospitals in 1999 with a diagnosis of heart failure. We stratified patients into risk categories defined by each clinical prediction rule. We assessed prognostic accuracy according to sensitivity and specificity and compared discriminatory power according to area under the receiver operating characteristic (ROC) curves. The outcomes were inpatient death, 30-day mortality, and death or serious medical complications before hospital discharge. RESULTS: The 4 rules each created risk groups of various proportions and frequencies of outcomes. The proportion of patients assigned to the lowest risk group ranged from 13.3% to 73.0%. The rates of inpatient death or complications in the lowest risk group ranged from 6.7% to 9.2%, and 30-day death rates varied from 1.7% to 6.0%. Patients categorized at the highest risk of death or complication demonstrated similar variability. The area under the ROC curve for inpatient death and complications differed only slightly among rules (0.58 to 0.62). The area under the ROC curve for fatal outcomes tended to be higher and differed among rules (0.59 to 0.74) CONCLUSION: Current acute heart failure prediction rules offer varying ability to predict short-term death or serious outcomes. Although each creates a risk gradient, differences in risk-group proportions and outcome frequencies should drive rule selection or use in clinical practice.

A case of conversion disorder presenting as a severe acute stroke.

Conversion disorders often present with dramatic physical presentations suggestive of severe organic disease. We present the case of a young woman who presented to the Emergency Department with a dense left hemiparesis suggestive of a severe acute stroke. Emergent referral to a regional stroke center facilitated rapid medical evaluation, exclusion of organic disease, and confirmation of conversion disorder as the etiology for the symptoms. This report highlights the dramatic clinical presentations that may result from conversion disorders as well as the benefits of rapid medical evaluation by specialty stroke centers.

Illy: clinical and public health implications of a street drug.

We conducted a prospective, observational study of patients presenting to an emergency department with suspected use of a street drug known as "illy" to identify the active ingredient in "illy" and describe the clinical presentation and outcomes associated with its use. Vital signs, mental status, restraint use, and urine toxicology (UT) results were recorded. Patients were interviewed about drug use patterns and co-ingestants. Fifty-nine patients (89.9% males) with a mean age of 22 years (SD +/- 4.37) were enrolled over a 34-month period. UT was obtained in 61% of patients; of these 91.7% tested positive for phencyclidine (PCP). Seventy-eight percent of patients were discharged, (15.3%) required psychiatric evaluation; 3 were admitted, one died in the ED. Patients reported concurrent drug use (54%) and at-risk drinking (50%). PCP is likely the active component of "illy". Most patients require observation and supportive care only, however major complications including death may occur.

A prediction rule to identify low-risk patients with heart failure.

OBJECTIVES: To derive a prediction rule using data available in the emergency department (ED) to identify a group of patients hospitalized for the treatment of heart failure who are at low risk of death and serious complications. METHODS: The authors analyzed data for all 33,533 patients with a primary hospital discharge diagnosis of heart failure in 1999 who were admitted from EDs in Pennsylvania. Candidate predictors were demographic and medical history variables and the most abnormal examination or diagnostic test values measured in the ED (vital signs only) or on the first day of hospitalization. The authors constructed classification trees to identify a subgroup of patients with an observed rate of death or serious medical complications before discharge < 2%; the tree that identified the subgroup with the lowest rate of this outcome and an inpatient mortality rate < 1% was chosen. RESULTS: Within the entire cohort, 4.5% of patients died and 6.8% survived to hospital discharge after experiencing a serious medical complication. The prediction rule used 21 prognostic factors to classify 17.2% of patients as low risk; 19 (0.3%) died and 59 (1.0%) survived to hospital discharge after experiencing a serious medical complication. CONCLUSIONS: This clinical prediction rule identified a group of patients hospitalized from the ED for the treatment of heart failure who were at low risk of adverse inpatient outcomes. Model performance needs to be examined in a cohort of patients with an ED diagnosis of heart failure and treated as outpatients or hospitalized.

Nonoccupational postexposure HIV prevention: emergency physicians' current practices, attitudes, and beliefs.

STUDY OBJECTIVE: We surveyed emergency physicians to determine current practices, knowledge, attitudes, and beliefs regarding nonoccupational postexposure prevention practices. METHODS: Two thousand randomly selected practicing emergency physicians from the American College of Emergency Physicians' national database and all graduating emergency medicine residents in 2000 were surveyed. Knowledge, role responsibility, self-efficacy, and attitudes and beliefs were measured and composite scores developed. Differences in responses between supporters and nonsupporters were compared for each category. RESULTS: Eight hundred eighty-nine responded, representing 60% (67/113) of emergency medicine residencies, 32% (347/1095) of emergency medicine residents, and 27% (542/2000) of emergency physicians. Responders recommend nonoccupational postexposure prevention for sexual assault (35%), unintentional needle stick (25%), and, rarely (<15%), for unsafe sexual practices and injection drug use. Knowledge of Centers for Disease Control and Prevention recommendations or the time when treatment may be most beneficial is poor (15.5% and 13.7%, respectively). Most agree their role includes providing nonoccupational postexposure prevention drugs and referring patients for counseling (76.5% and 75.6%, respectively). Confidence in assessing need for nonoccupational postexposure prevention varied with exposure type (sexual assault [61.6%], unintentional needle stick [54.8%], unsafe sexual practices [40.4%], and injection drug use [49.7%]). Supporters of nonoccupational postexposure prevention (64.1%) are more likely to have nonoccupational postexposure prevention available (69.3% versus 42.9%; 95% confidence interval [CI] 19.7 to 33.1), written protocols (42.5% versus 33.0%; 95% CI 2.8 to 16.2), and higher mean composite scores than nonsupporters in all categories: knowledge, self-efficacy, role responsibility, and attitudes. CONCLUSION: Most emergency physicians surveyed agree that offering nonoccupational postexposure prevention is feasible and within their role responsibility. Establishing nonoccupational postexposure prevention protocols and providing educational programs are important first steps in changing practice.