Barriers to physical distancing among healthcare workers on an academic hospital unit during the coronavirus disease 2019 (COVID-19) pandemic.

BACKGROUND: Physical distancing among healthcare workers (HCWs) is an essential strategy in preventing HCW-to-HCWs transmission of severe acute respiratory coronavirus virus 2 (SARS-CoV-2). OBJECTIVE: To understand barriers to physical distancing among HCWs on an inpatient unit and identify strategies for improvement. DESIGN: Qualitative study including observations and semistructured interviews conducted over 3 months. SETTING: A non-COVID-19 adult general medical unit in an academic tertiary-care hospital. PARTICIPANTS: HCWs based on the unit. METHODS: We performed a qualitative study in which we (1) observed HCW activities and proximity to each other on the unit during weekday shifts July-October 2020 and (2) conducted semi-structured interviews of HCWs to understand their experiences with and perspectives of physical distancing in the hospital. Qualitative data were coded based on a human-factors engineering model. RESULTS: We completed 25 hours of observations and 20 HCW interviews. High-risk interactions often occurred during handoffs of care at shift changes and patient rounds, when HCWs gathered regularly in close proximity for at least 15 minutes. Identified barriers included spacing and availability of computers, the need to communicate confidential patient information, and the desire to maintain relationships at work. CONCLUSIONS: Physical distancing can be improved in hospitals by restructuring computer workstations, work rooms, and break rooms; applying visible cognitive aids; adapting shift times; and supporting rounds and meetings with virtual conferencing. Additional strategies to promote staff adherence to physical distancing include rewarding positive behaviors, having peer leaders model physical distancing, and encouraging additional safe avenues for social connection at a safe distance.

The case for wearable proximity devices to inform physical distancing among healthcare workers.

OBJECTIVE: Despite the importance of physical distancing in reducing SARS-CoV-2 transmission, this practice is challenging in healthcare. We piloted use of wearable proximity beacons among healthcare workers (HCWs) in an inpatient unit to highlight considerations for future use of trackable technologies in healthcare settings. MATERIALS AND METHODS: We performed a feasibility pilot study in a non-COVID adult medical unit from September 28 to October 28, 2020. HCWs wore wearable proximity beacons, and interactions defined as <6 feet for ≥5 s were recorded. Validation was performed using direct observations. RESULTS: A total of 6172 close proximity interactions were recorded, and with the removal of 2033 false-positive interactions, 4139 remained. The highest proportion of interactions occurred between 7:00 Am-9:00 Am. Direct observations of HCWs substantiated these findings. DISCUSSION: This pilot study showed that wearable beacons can be used to monitor and quantify HCW interactions in inpatient settings. CONCLUSION: Technology can be used to track HCW physical distancing.

Promoting mobility and reducing length of stay in hospitalized general medicine patients: A quality-improvement project.

OBJECTIVE: To determine whether a multidisciplinary mobility promotion quality-improvement (QI) project would increase patient mobility and reduce hospital length of stay (LOS). PATIENTS AND METHODS: Implemented using a structured QI model, the project took place between March 1, 2013 and March 1, 2014 on 2 general medicine units in a large academic medical center. There were 3352 patients admitted during the QI project period. The Johns Hopkins Highest Level of Mobility (JH-HLM) scale, an 8-point ordinal scale ranging from bed rest (score = 1) to ambulating ≥250 feet (score = 8), was used to quantify mobility. Changes in JH-HLM scores were compared for the first 4 months of the project (ramp-up phase) versus 4 months after project completion (post-QI phase) using generalized estimating equations. We compared the relative change in median LOS for the project months versus 12 months prior among the QI units, using multivariable linear regression analysis adjusting for 7 demographic and clinically relevant variables. RESULTS: Comparing the ramp-up versus post-QI phases, patients reaching JH-HLM's ambulation status increased from 43% to 70% (P < 0.001), and patients with improved JH-HLM mobility scores between admission and discharge increased from 32% to 45% (P < 0.001). For all patients, the QI project was associated with an adjusted median LOS reduction of 0.40 (95% confidence interval [CI]: -0.57 to -0.21, P < 0.001) days compared to 12 months prior. A subgroup of patients expected to have a longer LOS (expected LOS >7 days), were associated with a significantly greater adjusted median reduction in LOS of 1.11 (95% CI: -1.53 to -0.65, P < 0.001) days. Increased mobility was not associated with an increase in injurious falls compared to 12 months prior on the QI units (P = 0.73). CONCLUSIONS AND RELEVANCE: Active prevention of a decline in physical function that commonly occurs during hospitalization may be achieved with a structured QI approach. In an adult medicine population, our QI project was associated with improved mobility, and this may have contributed to a reduction in LOS, particularly for more complex patients with longer expected hospital stay. Journal of Hospital Medicine 2016. © 2016 Society of Hospital Medicine.