A Qualitative Study of the Work Systems and Culture Around End-of-Day Intraoperative Anesthesia Handoffs in a Tertiary Care Center.

BACKGROUND: Intraoperative handoffs have been implicated as a contributing factor in many perioperative adverse events. Despite conflicting data around their impact on perioperative outcomes, they remain a vulnerable point in the perioperative system with significant attention focused on improving them. This study aimed to understand the processes in place surrounding the point of information transfer in intraoperative handoffs. METHODS: We used semistructured interviews with anesthesia clinicians to understand the processes and systems surrounding intraoperative handoffs. Interview data were coded deductively using the Systems Engineering Initiative for Patient Safety model as a framework, with subthemes developed inductively. RESULTS: Clinicians do a significant amount of work before and after the point of information transfer to ensure a smooth handoff and safe patient care. Despite not having standardization of handoffs, most clinicians have a typical handoff organization and largely agree on content that should be included. However, there is variability based on clinician and patient characteristics, including clinician discipline and patient acuity. These handoffs are additionally impacted by the overall culture in the operating room, including the teamwork and hierarchies present among the surgical and anesthesia teams. Finally, the broader operating room logistics, including scheduling practices for surgical cases and anesthesia teams, impact the quality of intraoperative handoffs and the ability of clinicians to prepare for these handoffs. CONCLUSIONS: Handoffs involve processes beyond the point of information transfer and are embedded in the systems and culture of the operating rooms. These considerations are important when seeking to improve the quality of intraoperative handoffs.

Infectious Risk of Arterial Lines: A Narrative Review.

Arterial catheter-related bloodstream infections have been identified as a significant healthcare burden. However, the incidence of arterial catheter-related infections is commonly underestimated in clinical practice, and adherence to CDC-recommended practices is inconsistent. Several categories of interventions have been studied to prevent arterial catheter-related bloodstream infections, which include barrier precautions, cutaneous antisepsis, insertion site selection, dressings, chlorhexidine-impregnated sponges, and the duration of catheter placement with or without catheter replacement. The majority of these studies are limited by small sample sizes and single-center designs, and further randomized trials are needed to update current clinical practice guidelines to reduce the risk of arterial catheter-related infections.

December Is Coming: A Time Trend Analysis of Monthly Variation in Adult Elective Anesthesia Caseload across Florida and Texas Locations of a Large Multistate Practice.

BACKGROUND: Anesthesia staffing models rely on predictable surgical case volumes. Previous studies have found no relationship between month of the year and surgical volume. However, seasonal events and greater use of high-deductible health insurance plans may cause U.S. patients to schedule elective surgery later in the calendar year. The hypothesis was that elective anesthesia caseloads would be higher in December than in other months. METHODS: This review analyzed yearly adult case data in Florida and Texas locations of a multistate anesthesia practice from 2017 to 2019. To focus on elective caseload, the study excluded obstetric, weekend, and holiday cases. Time trend decomposition analysis was used with seasonal variation to assess differences between December and other months in daily caseload and their relationship to age and insurance subgroups. RESULTS: A total of 3,504,394 adult cases were included in the analyses. Overall, daily caseloads increased by 2.5 ± 0.1 cases per day across the 3-yr data set. After adjusting for time trends, the average daily December caseload in 2017 was 5,039 cases (95% CI, 4,900 to 5,177), a 20% increase over the January-to-November baseline (4,196 cases; 95% CI, 4,158 to 4,235; P < 0.0001). This increase was replicated in 2018: 5,567 cases in December (95% CI, 5,434 to 5,700) versus 4,589 cases at baseline (95% CI, 4,538 to 4,641), a 21.3% increase; and in 2019: 6,103 cases in December (95% CI, 5,871 to 6,334) versus 5,045 cases at baseline (95% CI, 4,984 to 5,107), a 21% increase (both P < 0.001). The proportion of commercially insured patients and those aged 18 to 64 yr was also higher in December than in other months. CONCLUSIONS: In this 3-yr retrospective analysis, it was observed that, after accounting for time trends, elective anesthesia caseloads were higher in December than in other months of the year. Proportions of commercially insured and younger patients were also higher in December. When compared to previous studies finding no increase, this pattern suggests a recent shift in elective surgical scheduling behavior.

Impact of a medical scribe on clinical efficiency and quality in an academic general internal medicine practice.

BACKGROUND: Scribes have been proposed as an intervention to decrease physician electronic health record (EHR) workload and improve clinical quality. We aimed to assess the impact of a scribe on clinical efficiency and quality in an academic internal medicine practice. METHODS: Six faculty physicians worked with one scribe at an urban academic general internal medicine clinic April through June 2017. Patient visits during the 3 months prior to intervention (baseline, n = 789), unscribed visits during the intervention (concurrent control, n = 605), and scribed visits (n = 579) were included in the study. Clinical efficiency outcomes included time to close encounter, patient time in clinic, and number of visits per clinic session. Quality outcomes included EHR note quality, rates of medication and immunization review, population of patient instructions, reconciliation of outside information, and completion of preventative health recommendations. RESULTS: Median time to close encounter (IQR) was lower for scribed visits [0.4 (4.8) days] compared to baseline and unscribed visits [1.2 (5.9) and 2.9 (5.4) days, both p < 0.001]. Scribed notes were more likely to have a clear history of present illness (HPI) [OR = 7.30 (2.35-22.7), p = 0.001] and sufficient HPI information [OR = 2.21 (1.13-4.35), p = 0.02] compared to unscribed notes. Physicians were more likely to review the medication list during scribed vs. baseline visits [OR = 1.70 (1.22-2.35), p = 0.002]. No differences were found in the number of visits per clinic session, patient time in clinic, completion of preventative health recommendations, or other outcomes. CONCLUSIONS: Working with a scribe in an academic internal medicine practice was associated with more timely documentation.