Implementation of a non-emergent medical transportation programme at an integrated health system.

OBJECTIVES: To implement a unified non-emergency medical transportation (NEMT) service across a large integrated healthcare delivery network. METHODS: We assessed needs among key organisational stakeholders, then reviewed proposals. We selected a single NEMT vendor best aligned with organisational priorities and implemented this solution system-wide. RESULTS: Our vendor's hybrid approach combined rideshares with contracted vehicles able to serve patients with equipment and other needs. After 6195 rides in the first year, we observed shorter wait times and lower costs compared with our prior state. DISCUSSION: Essential lessons included (1) understanding user and patient needs, (2) obtaining complete, accurate and comprehensive baseline data and (3) adapting existing workflows-rather than designing de novo-whenever possible. CONCLUSIONS: Our implementation of a single-vendor NEMT solution validates the need for NEMT at large healthcare organisations, geographical challenges to establishing NEMT organisation-wide, and the importance of baseline data and stakeholder engagement.

Initiation of an inter-hospital extracorporeal membrane oxygenation transfer programme for critically ill patients with coronavirus disease 2019: bringing extracorporeal membrane oxygenation support to peripheral hospitals.

OBJECTIVES: Extracorporeal membrane oxygenation (ECMO) is a resource-intensive, highly specialized and expensive therapy that is often reserved for high-volume centres. In recent years, we established an inter-hospital ECMO transfer programme that enables ECMO implants in peripheral hospitals. During the pandemic, the programme was expanded to include ECMO support in selected critically ill patients with coronavirus disease 2019 (COVID-19). METHODS: This retrospective single-centre study reports the technical details and challenges encountered during our initial experience with ECMO implants in peripheral hospitals for patients with COVID-19. RESULTS: During March and April 2020, our team at the University Hospital of Zurich performed 3 out-of-centre ECMO implants at different peripheral hospitals. The implants were performed without any complications. The patients were transported by ambulance or helicopter. Good preparation and selection of the required supplies are the keys to success. The implant should be performed by a well-trained, seasoned ECMO team, because options are limited in most peripheral hospitals. CONCLUSIONS: Out-of-centre ECMO implants in well-selected patients with COVID-19 is feasible and safe if a well-established organization is available and if the implantation is done by an experienced and regularly trained team.

A Critical Care Transport Program's Innovative Approach to Safety During the Coronavirus Disease 2019 Pandemic.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic has resulted in the frequent transfer of critically ill patients, yet there is little information available to assist critical care transport programs in protecting their clinicians from disease exposure in this unique environment. The Lifeline Critical Care Transport Program has implemented several novel interventions to reduce the risk of staff exposure. METHODS: Several safety interventions were implemented at the beginning of the COVID-19 pandemic. These initiatives included the deployment of a transport safety officer, a receiving clean team for select interfacility transports, and modifications in personal protective equipment. RESULTS: From February 29, 2020, to August 29, 2020, there were 1,041 transports of persons under investigation, 660 (63.4%) of whom were ultimately found to be COVID-19 positive. Approximately one third were ground transports, 11 (1.1%) were by air, and the remainder were intrahospital transports. There were 0 documented staff exposures or illnesses during the study period. CONCLUSION: The adaptation of these safety measures resulted in 0 staff exposures or illnesses while maintaining a high-volume, high-acuity critical care transport program. These interventions are the first of their kind to be implemented during the COVID-19 pandemic and offer a framework for other organizations and future disease outbreaks.

Association Between Exposure to Hurricane Irma and Mortality and Hospitalization in Florida Nursing Home Residents.

Importance: Nursing home residents are at heightened risk for morbidity and mortality following an exposure to a disaster such as a hurricane or the COVID19 pandemic. Previous research has shown that nursing home resident mortality related to disasters is frequently underreported. There is a need to better understand the consequences of disasters on nursing home residents and to differentiate vulnerability based on patient characteristics. Objective: To evaluate mortality and morbidity associated with exposure to Hurricane Irma, a Category 4 storm that made landfall on September 10, 2017, in Cudjoe Key, Florida, among short-stay (<90-day residence) and long-stay (≥90-day residence) residents of nursing homes. Design, Setting, and Participants: Cohort study of Florida nursing home residents comparing residents exposed to Hurricane Irma in September 2017 to a control group of residents residing at the same nursing homes over the same time period in calendar year 2015. Data were analyzed from August 28, 2019, to July 22, 2020. Exposure: Residents who experienced Hurricane Irma were considered exposed; those who did not were considered unexposed. Main Outcome and Measures: Outcome variables included 30-day and 90-day mortality and first hospitalizations after the storm in both the short term and the long term. Results: A total of 61 564 residents who were present in 640 Florida nursing home facilities on September 7, 2017, were identified. A comparison cohort of 61 813 residents was evaluated in 2015. Both cohorts were mostly female (2015, 68%; 2017, 67%), mostly White (2015, 79%; 2017, 78%), and approximately 40% of the residents in each group were over the age of 85 years. Compared with the control group in 2015, an additional 262 more nursing home deaths were identified at 30 days and 433 more deaths at 90 days. The odds of a first hospitalization for those exposed (vs nonexposed) were 1.09 (95% CI, 1.05-1.13) within the first 30 days after the storm and 1.05 (95% CI, 1.02-1.08) at 90 days; the odds of mortality were 1.12 (95% CI, 1.05-1.18) at 30 days and 1.07 (95% CI, 1.03-1.11) at 90 days. Among long-stay residents, the odds of mortality for those exposed to Hurricane Irma were 1.18 (95% CI, 1.08-1.29) times those unexposed and the odds of hospitalization were 1.11 (95% CI, 1.04-1.18) times those unexposed in the post 30-day period. Conclusions and Relevance: The findings of this study suggest that nursing home residents are at considerable risk to the consequences of disasters. These risks may be underreported by state and federal agencies. Long-stay residents, those who have resided in a nursing home for 90 days or more, may be most vulnerable to the consequences of hurricane disasters.

Large-Scale Air Medical Operations in the Age of Coronavirus Disease 2019: Early Leadership Lessons From the Front Lines of British Columbia.

In late 2019, a novel coronavirus was identified as the cause of a cluster of atypical pneumonia cases in Wuhan, China. It subsequently spread throughout China and around the world, quickly becoming a public health emergency. In March 2020, the World Health Organization declared coronavirus disease 2019 a pandemic. This article explores the preparation and early experiences of a large Canadian critical care transport program during the coronavirus disease 2019 pandemic focused on 6 broad strategic objectives centered around staff welfare, regular and transparent communication, networking, evidenced-based approach to personal protective equipment, agile mission planning, and an expedited approach to clinical practice and policy updates and future state modeling.

Quarantine Vehicle Scheduling for Transferring High-Risk Individuals in Epidemic Areas.

In a large-scale epidemic outbreak, there can be many high-risk individuals to be transferred for medical isolation in epidemic areas. Typically, the individuals are scattered across different locations, and available quarantine vehicles are limited. Therefore, it is challenging to efficiently schedule the vehicles to transfer the individuals to isolated regions to control the spread of the epidemic. In this paper, we formulate such a quarantine vehicle scheduling problem for high-risk individual transfer, which is more difficult than most well-known vehicle routing problems. To efficiently solve this problem, we propose a hybrid algorithm based on the water wave optimization (WWO) metaheuristic and neighborhood search. The metaheuristic uses a small population to rapidly explore the solution space, and the neighborhood search uses a gradual strategy to improve the solution accuracy. Computational results demonstrate that the proposed algorithm significantly outperforms several existing algorithms and obtains high-quality solutions on real-world problem instances for high-risk individual transfer in Hangzhou, China, during the peak period of the novel coronavirus pneumonia (COVID-19).