Emergency Medicine Clinician Experiences Addressing Uncertainty in First-Trimester Bleeding.

The purpose of this work is to understand Emergency Department (ED) clinicians' experiences in communicating uncertainty about first-trimester bleeding (FTB) and their need for training on this topic. This cross-sectional study surveyed a national sample of attending physicians and advanced practice providers (APPs). The survey included quantitative and qualitative questions about communicating with patients presenting with FTB. These questions assessed clinicians' frequency encountering challenges, comfort, training, prior experience, and interest in training on the topic. Of 402 respondents, 54% reported that they encountered challenges at least sometimes when discussing FTB with patients where the pregnancy outcome is uncertain. While the majority (84%) were at least somewhat prepared for these conversations from their training, which commonly addressed the diagnostic approach to this scenario, 39% strongly or moderately agreed that they could benefit from training on the topic. Because the majority of ED clinicians identified at least sometimes encountering challenges communicating with pregnant patients about FTB, our study indicates a need exists for more training in this skill.

"Unfortunately, I don't have an answer for you": How resident physicians communicate diagnostic uncertainty to patients during emergency department discharge.

OBJECTIVE: To describe how emergency medicine resident physicians discuss diagnostic uncertainty during a simulated ED discharge discussion. METHODS: A secondary content analysis of simulated clinical encounter audiotapes completed by emergency medicine residents across two sites. RESULTS: When discussing lack of diagnosis, residents explained the evaluation revealed no cause for symptoms, noted concerning diagnoses that were excluded, and acknowledged both symptoms and patients' feelings. Residents used explicit and implicit language to discuss diagnostic uncertainty with similar frequency. Almost half of the residents discussed the ED role as focused on emergent illness to give patients context for their uncertain diagnoses. However, 28% of residents in this study did not discuss diagnostic uncertainty in any form. All residents provided reassurance. CONCLUSION: Residents use a range of approaches to discuss diagnostic uncertainty with patients at the time of a simulated ED discharge, with some residents omitting discussion of uncertainty entirely. PRACTICE IMPLICATIONS: These findings represent the current state of communication, which needs improvement. These findings do not immediately transfer to clinical practice recommendations, but rather support a need for both further study and development of formal communication training on this topic.

There's an app for that: Teaching residents to communicate diagnostic uncertainty through a mobile gaming application.

BACKGROUND: Clear communication is integral to good clinical care; however, communication training is cost and time intensive. Mobile applications (apps) may provide a useful adjunct to traditional simulation skills training. OBJECTIVE: To evaluate (1) use of an app for teaching communication skills about diagnostic uncertainty, (2) feedback on app use, and (3) the association between use and skill mastery. PATIENT INVOLVEMENT: The app under study is designed to improve doctor-patient communication. METHODS: The study was a planned sub-analysis of a randomized controlled waitlist trial with emergency medicine resident physicians randomized to receive immediate or delayed access to an educational curriculum focused on diagnostic uncertainty. The curriculum included a web-based interactive module and the app. Metrics describing participants' use of the app, feedback on use, and association of use and achieving mastery in communicating diagnostic uncertainty are reported. Differences between groups utilizing the app were analyzed using Chi-squared test; logistic regression assessed the association between app use and achieving mastery of the communication skill. RESULTS: Among 109 participants completing the trial, only 34 (31.2%) used the app. Most participants engaged with the app on one occasion for a median of 50 min (IQR 31, 87). Senior residents were more likely to use the app than junior residents (41.3% vs 23.8%, p=0.05). Overall reviews were positive; 76% reported the app helped them learn. There was no significant association between app use and achieving mastery of the communication skill in the trial [OR 2.1, 95% CI (0.91-4.84)]. DISCUSSION: Despite positive reviews of app use, overall use was low and there was no association with achieving mastery. PRACTICAL VALUE: Offering an app as an auxiliary training opportunity may be beneficial to some residents, but shouldn't be planned for use as a primary didactic modality unless there is evidence for effectiveness and use is mandated. AVAILABILITY OF DATA AND MATERIALS: The datasets generated and/or analyzed during the current study are not publicly available since some data may be identifiable but are available from the corresponding author on reasonable request.

Simulation-based mastery learning compared to standard education for discussing diagnostic uncertainty with patients in the emergency department: a randomized controlled trial.

BACKGROUND: Diagnostic uncertainty occurs frequently in emergency medical care, with more than one-third of patients leaving the emergency department (ED) without a clear diagnosis. Despite this frequency, ED providers are not adequately trained on how to discuss diagnostic uncertainty with these patients, who often leave the ED confused and concerned. To address this training need, we developed the Uncertainty Communication Education Module (UCEM) to teach physicians how to discuss diagnostic uncertainty. The purpose of the study is to evaluate the effectiveness of the UCEM in improving physician communications. METHODS: The trial is a multicenter, two-arm randomized controlled trial designed to teach communication skills using simulation-based mastery learning (SBML). Resident emergency physicians from two training programs will be randomly assigned to immediate or delayed receipt of the two-part UCEM intervention after completing a baseline standardized patient encounter. The two UCEM components are: 1) a web-based interactive module, and 2) a smart-phone-based game. Both formats teach and reinforce communication skills for patient cases involving diagnostic uncertainty. Following baseline testing, participants in the immediate intervention arm will complete a remote deliberate practice session via a video platform and subsequently return for a second study visit to assess if they have achieved mastery. Participants in the delayed intervention arm will receive access to UCEM and remote deliberate practice after the second study visit. The primary outcome of interest is the proportion of residents in the immediate intervention arm who achieve mastery at the second study visit. DISCUSSION: Patients' understanding of the care they received has implications for care quality, safety, and patient satisfaction, especially when they are discharged without a definitive diagnosis. Developing a patient-centered diagnostic uncertainty communication strategy will improve safety of acute care discharges. Although use of SBML is a resource intensive educational approach, this trial has been deliberately designed to have a low-resource, scalable intervention that would allow for widespread dissemination and uptake. TRIAL REGISTRATION: The trial was registered at clinicaltrials.gov (NCT04021771). Registration date: July 16, 2019.

Development and preliminary validation of a scale to measure patient uncertainty: The "Uncertainty Scale".

Research suggests that patient uncertainty related to experiencing symptoms may drive decisions to seek care. The only validated measure of patient uncertainty assesses uncertainty related to defined illness. In prior work, we engaged patients to describe uncertainty related to symptoms and used findings to develop the 'U-Scale' scale. In this work, we present results from preliminary scale reliability and validity testing. Psychometric testing demonstrated content validity, high internal consistency, and evidence for concurrent validity. Next steps include administration in diverse populations for continued refinement and validation, and exploration of the potential contribution of uncertainty to healthcare utilization.

Identifying Emergency Department Symptom-Based Diagnoses with the Unified Medical Language System.

INTRODUCTION: Many patients who are discharged from the emergency department (ED) with a symptom-based discharge diagnosis (SBD) have post-discharge challenges related to lack of a definitive discharge diagnosis and follow-up plan. There is no well-defined method for identifying patients with a SBD without individual chart review. We describe a method for automated identification of SBDs from ICD-10 codes using the Unified Medical Language System (UMLS) Metathesaurus. METHODS: We mapped discharge diagnosis, with use of ICD-10 codes from a one-month period of ED discharges at an urban, academic ED to UMLS concepts and semantic types. Two physician reviewers independently manually identified all discharge diagnoses consistent with SBDs. We calculated inter-rater reliability for manual review and the sensitivity and specificity for our automated process for identifying SBDs against this "gold standard." RESULTS: We identified 3642 ED discharges with 1382 unique discharge diagnoses that corresponded to 875 unique ICD-10 codes and 10 UMLS semantic types. Over one third (37.5%, n = 1367) of ED discharges were assigned codes that mapped to the "Sign or Symptom" semantic type. Inter-rater reliability for manual review of SBDs was very good (0.87). Sensitivity and specificity of our automated process for identifying encounters with SBDs were 84.7% and 96.3%, respectively. CONCLUSION: Use of our automated process to identify ICD-10 codes that classify into the UMLS "Sign or Symptom" semantic type identified the majority of patients with a SBD. While this method needs refinement to increase sensitivity of capture, it has potential to automate an otherwise highly time-consuming process. This novel use of informatics methods can facilitate future research specific to patients with SBDs.