Key High-efficiency Practices of Emergency Department Providers: A Mixed-methods Study.

OBJECTIVE: The objective of this study was to determine specific provider practices associated with high provider efficiency in community emergency departments (EDs). METHODS: A mixed-methods study design was utilized to identify key behaviors associated with efficiency. Stage 1 was a convenience sample of 16 participants (ED medical directors, nurses, advanced practice providers, and physicians) identified provider efficiency behaviors during semistructured interviews. Ninety-nine behaviors were identified and distilled by a group of three ED clinicians into 18 themes. Stage 2 was an observational study of 35 providers was performed in four (30,000- to 55,000-visit) community EDs during two 4-hour periods and recorded in minute-by-minute observation logs. In Stage 3, each behavior or practice from Stage 1 was assigned a score within each observation period. Behaviors were tested for association with provider efficiency (relative value units/hour) using linear univariate generalized estimating equations with an identity link, clustered on ED site. RESULTS: Five ED provider practices were found to be positively associated with efficiency: average patient load, using name of team member, conversations with health care team, visits to patient rooms, and running the board. Two behaviors, "inefficiency practices," demonstrated significant negative correlations: non-work-related tasks and documentation on patients no longer in the ED. CONCLUSIONS: Average patient load, running the board, conversations with team member, and using names of team members are associated with enhanced provider productivity. Identification of behaviors associated with efficiency can be utilized by medical directors, clinicians, and trainees to improve personal efficiency or counsel team members.

Telemedicine Provides Noninferior Research Informed Consent for Remote Study Enrollment: A Randomized Controlled Trial.

OBJECTIVE: Telemedicine networks are beginning to provide an avenue for conducting emergency medicine research, but using telemedicine to recruit participants for clinical trials has not been validated. The goal of this consent study was to determine whether patient comprehension of telemedicine-enabled research informed consent is noninferior to standard face-to-face (F2F) research informed consent. METHODS: A prospective, open-label randomized controlled trial was performed in a 60,000-visit Midwestern academic emergency department (ED) to test whether telemedicine-enabled research informed consent provided noninferior comprehension compared with standard consent. This study was conducted as part of a parent clinical trial evaluating the effectiveness of 0.12% oral chlorhexidine gluconate in preventing hospital-acquired pneumonia among adult ED patients with expected hospital admission. Prior to being recruited into the study, potential participants were randomized in a 1:1 allocation ratio to consent by telemedicine versus standard F2F consent. Telemedicine connectivity was provided using a commercially available interface (REACH platform, Vidyo Inc.) to an emergency physician located in another part of the ED. Comprehension of research consent (primary outcome) was measured using the modified quality of informed consent (QuIC) instrument, a validated tool for measuring research informed consent comprehension. Parent trial accrual rate and qualitative survey data were secondary outcomes. RESULTS: A total of 131 patients were randomized (n = 64, telemedicine), and 101 QuIC surveys were completed. Comprehension of research informed consent using telemedicine was not inferior to F2F consent (QuIC scores 74.4 ± 8.1 vs. 74.4 ± 6.9 on a 100-point scale, p = 0.999). Subjective understanding of consent (p = 0.194) and parent trial study accrual rates (56% vs. 69%, p = 0.142) were similar. CONCLUSION: Telemedicine is noninferior to F2F consent for delivering research informed consent, with no detected differences in comprehension and patient-reported understanding. This consent study will inform design of future telemedicine-enabled clinical trials.