| Literature DB >> 34373827 |
Christopher L Berry1, Monica C Corsetti2, Francis Mencl2.
Abstract
Study objectives Helicopter emergency medical services (HEMS) providers have had to adjust to transporting patients with a novel, highly infectious pathogen. This study describes how HEMS organizations in the USA approached the coronavirus disease 2019 (COVID-19) pandemic in its first wave. Methods A survey was distributed via REDCap™ to HEMS organizations in May of 2020 using a national database. Data were collected regarding agency demographics and COVID-19 practices, including education, risk assessment, protective measures, equipment use, and decontamination practices. These were analyzed for qualitative observations and program attributes for COVID transport. Results A total of 68/287 (24%) organizations responded and completed the survey. Eighty-five percent (85%) of responding programs reported that they chose to transport known or suspected COVID-19 patients by air medical transport. Of responding programs, 93% provided education to their providers regarding COVID-19 and 100% conducted a COVID-19 risk analysis for patient transports. Of agencies transporting known or suspected COVID-19 patients, 77% required the use of N95 filtering facepiece respirators (N95) or powered air-purifying respirators (PAPR) for crewmembers during known or suspected COVID-19 patient transfers and 95% provided N95 respirators for pilots during transport. Five percent of responding programs utilized portable negative pressure isolation units. For COVID-19 transporting and non-transporting agencies, when transporting non-COVID-19 known or suspected patients, personal protective equipment (PPE) practice varied but tended to be more relaxed. Some services separated pilots from providers even during downtime (29%). Among services transporting known or suspected COVID-19 patients, the most common decontamination practice was manual wipe-down of all surfaces for a downtime of less than two hours. Conclusion The majority of survey respondents report that their programs chose to transport patients with known or suspected COVID-19 by air medical transport. However, there was high variability in practices regarding the transport of known or suspected COVID-19 as well as that of non-COVID-19 known or suspected patients by air during the initial outbreak of the pandemic. The HEMS industry may benefit from further research and standardization of airborne highly infectious disease transport practices in preparation for the next respiratory virus pandemic.Entities:
Keywords: covid-19; critical care transport; helicopter ems; infection control; infection prevention and control; personal protective equipment (ppe)
Year: 2021 PMID: 34373827 PMCID: PMC8346337 DOI: 10.7759/cureus.16961
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1State Map of Responding Programs (By Primary State Served)
https://www.freeusandworldmaps.com/html/USAandCanada/USPrintableNoText.html
Service Demographics
| Number of Transport Bases | (% of Total) | COVID Transporting (% Transporting) | Non-COVID Transporting (% Non-Transporting) |
| 1 Base | 24 (35%) | 18 (31%) | 6 (60%) |
| 2-3 Bases | 21 (31%) | 18 (31%) | 3 (30%) |
| 4-5 Bases | 12 (18%) | 11 (19%) | 1 (10%) |
| 6-10 Bases | 8 (12%) | 8 (14%) | 0 |
| >10 Bases | 3 (4.4%) | 3 (5.2%) | 0 |
| Total Yearly Transport Flights | |||
| <500 | 21(32%) | 15 (26%) | 6 (60%) |
| 501-750 | 6 (9%) | 5 (8.6%) | 1 (10%) |
| 751-1000 | 6 (9%) | 6 (10%) | 0 |
| 1001-1250 | 7 (11%) | 5 (8.6%) | 2 (20%) |
| 1251-1500 | 7 (11%) | 6 (10%) | 1 (10%) |
| >1500 | 19 (29%) | 19 (33%) | 0 |
| Service Type | |||
| Private | 11 (16%) | 11 (19%) | 0 |
| Police-Based | 3 (4.4%) | 0 | 3 (30%) |
| Hospital-Based | 46 (68%) | 40 (69%) | 6 (60%) |
| Other | 8 (12%) | 7 (12%) | 1 (10%) |
| Crew Configurations | |||
| Nurse/Medic | 50 (73.5%) | 44 (76%) | 6 (60%) |
| Nurse/Resp Therapist | 3 (4.4%) | 3 (5.2%) | 0 |
| Nurse/Physician | 1 (1.5%) | 1 (1.7%) | 0 |
| Nurse/Nurse | 8 (12%) | 8 (14%) | 0 |
| APP/Medic | 1 (1.5%) | 1 (1.7%) | 0 |
| Medic/Medic | 4 (6%) | 1 (1.7%) | 3 (30%) |
| Medic/EMT-B | 1 (1.5%) | 0 | 1 (10%) |
| Fixed-Wing Aircraft Utilization | |||
| Yes | 29 (43%) | 26 (45%) | 3 (30%) |
| No | 39 (57%) | 32 (55%) | 7 (70%) |
| Dedicated Critical Care Ground Unit Availability | |||
| Yes | 51 (75%) | 44 (76%) | 7 (70%) |
| No | 17 (25%) | 14 (24%) | 3 (30%) |
| Instrument Flight Rules (IFR) Capability | |||
| Yes | 47 (69%) | 43 (74%) | 4 (40%) |
| No | 21 (31%) | 15 (26%) | 6 (60%) |
| Night Vision Goggles (NVGs)/Low Light Operations Capabilities? | |||
| Yes | 64 (94%) | 55 (95%) | 9 (90%) |
| No | 4 (5.9%) | 3 (5.2%) | 1 (10%) |
| Extracorporeal Membrane Oxygenation (ECMO) Capabilities | |||
| Yes | 41 (60%) | 37 (64%) | 4 (40%) |
| No | 27 (40%) | 21 (36%) | 6 (60%) |
COVID-19 Medical Crew Education and Risk Analysis
| All Responses (% of Total) | Transporting (% of Transporting) | Non-Transporting (% of Non-Transporting) | |
| Services Provided Training to HEMS Crews About the Clinical Presentation of COVID-19 Patients and Common Radiographic/Laboratory Values Suspicious of COVID-19 | |||
| Yes | 63 (93%) | 54 (93%) | 9 (90%) |
| No | 4 (5.9%) | 4 (6.9%) | 0 |
| Time at which services screen for COVID-19 during patient transfers | |||
| By air medical dispatchers prior to dispatch | 58 (85%) | 52 (90%) | 6 (60%) |
| By HEMS crew prior to dispatch | 14 (21%) | 13 (22%) | 1 (10%) |
| By HEMS crew after dispatch | 12 (18%) | 9 (16%) | 3 (30%) |
| By Medical Director prior to dispatch | 10 (15%) | 10 (17%) | 0 |
| By accepting physician prior to dispatch | 17 (25%) | 13 (22%) | 4 (40%) |
| By HEMS crew on arrival to transferring facility | 41 (60%) | 36 (62%) | 5 (50%) |
| Not screening for COVID-19 patients | 0 | 0 | 0 |
| Other | 7 (10%) | 6 (10.3%) | 1 (10%) |
| Data Used by Crews to Make Risk Assessment Patients’ COVID-19 Status | |||
| Transferring physician's report | 55 (81%) | 50 (86%) | 5 (50%) |
| Radiographs including chest X-ray, CT scan | 32 (47%) | 31 (53%) | 1 (10%) |
| COVID-19 testing results | 55 (81%) | 50 (86%) | 5 (50%) |
| Laboratory values | 18 (26%) | 18 (31%) | 0 |
| Patient Clinical History/Presentation | 58 (85%) | 50 (86%) | 8 (80%) |
| Not making a COVID-19 risk assessment | 3 (4.4%) | 2 (3.4%) | 1 (10%) |
| Other | 5 (7.4%) | 5 (8.6%) | 0 |
Number of Services Requiring Each PPE Type Among COVID-Transporting and Non-Transporting Services
| PPE Required for Patient Care Personnel | For Suspected/Positive COVID-19 Flights (% of Transporting Services) | For Flights With No Suspicion for COVID-19 but on a Transporting Service (% of Transporting Services) | For Non-Transporting Services (% of Non-Transporting Services) |
| Respiratory PPE | |||
| Surgical mask | 2 (3.4%) | 35 (60%) | 5 (50%) |
| N95 mask at all times | 44 (76%) | 15 (26%) | 3 (30%) |
| N95 mask for aerosolized procedures only | 6 (10%) | 4 (6.9%) | 6 (60%) |
| Purified air-powered respirator (PAPR) at all times | 1 (1.7%) | 0 | 0 |
| PAPR for aerosolized procedures only, surgical mask otherwise | 0 | 0 | 1 (10%) |
| Other | 5 (8.6%) | 4 (6.9%) | 1 (10%) |
| Contact PPE | |||
| Gloves | 57 (98%) | 55 (95%) | 9 (90%) |
| Face shields/goggles | 58 (100%) | 32 (55%) | 6 (60%) |
| Surgical gown | 47 (81%) | 8 (14%) | 7 (70%) |
| Disposable protective coveralls (bunny suit) | 17 (29%) | 3 (5.2%) | 0 |
| Other | 5 (8.6%) | 4 (6.9%) | 2 (2%) |
Level of Respiratory PPE Provided to Pilots by Services
| Number of Transporting Services Utilizing Intervention in COVID-19 cases (% of Transporting Services) | Number of Non-Transporting Services Utilizing Intervention in (% of Non-Transporting Services) | |
| None | 1 (1.7%) | 0 |
| Surgical Mask | 24 (41%) | 5 (50%) |
| N95 Mask | 55 (95%) | 9 (90%) |
| Other | 3 (5.1%) | 1 (10%) |
COVID-19 Pilot Isolation Protocols
| All Responses (% of Total) | Transporting (% of Transporting) | Non-Transporting (% of Non-Transporting) | |
| Separation of Pilots from Patient Care Crew When Not on Mission | |||
| Yes | 18 (26%) | 15 (26%) | 3 (30%) |
| No | 50 (74%) | 43 (74%) | 7 (70%) |
| Activities in Which Pilots’ Participation is Limited | |||
| Loading Patient Into Airframe | 50 (74%) | 45 (78%) | 5 (50%) |
| Interacting With Patient or Patient Family | 48 (71%) | 43 (74%) | 5 (50%) |
| Entering Referring Facility | 46 (68%) | 40 (69%) | 6 (60%) |
| None of the Above | 12 (18%) | 9 (16%) | 3 (30%) |
Patient Packaging Practices and Considerations for Services Transporting COVID-19/PUIs
BIPAP: Bilevel Positive Airway Pressure; CPAP: Continuous Positive Airway Pressure; PUI: Patient Under Investigation
| Number of Services Planning to Utilize Intervention | |
| Transporting Non-Intubated COVID-19 Positive/Suspected Patients | 53 (91%) |
| Interventions Utilized in Transport | |
| High-Flow Nasal Cannula | 17 (29%) |
| Non-Invasive Ventilation (Incl. BIPAP or CPAP) | 16 (28%) |
| Nasal Cannula | 45 (78%) |
| Non-Rebreather | 44 (76%) |
| Using Portable Negative Pressure Isolation Units (IE an "adult isolette") | 3 (5.2%) |
| Proned Positioning | 15 (26%) |
| ECMO | 6 (10%) |
Decontamination Methods for Airframes Post-COVID-19/PUI Transport
UV: Ultraviolet; PUI: Patient Under Investigation
| Method | Number of Programs Using (% of Transporting) | Number of Programs Using (% of Non-Transporting) |
| Manual Surface Wipes | 55 (95%) | 9 (90%) |
| Sprayed Germicidal Disinfectant | 39 (67%) | 5 (50%) |
| UV Light Germicidal Irradiation | 7 (12%) | 0 |
| Chlorine Dioxide Gas (IE Aeroclave System) | 1 (1.7%) | 1 (10%) |
| Hydrogen Peroxide Vapor | 4 (6.9%) | 0 |
| Other | 7 (12%) | 2 (20%) |
Average Downtime Post-Transport
| Downtime | Number of Transporting Services Post COVID-19 Transport (% of Transporting) | Number of Non-Transporting Services (% of Non-Transporting) |
| <1 hr | 28 (48%) | 7 (70%) |
| 1 to 2 hrs | 25 (43%) | 2 (20%) |
| 2 to 3 hrs | 3 (5.1%) | 0 |
| > 3 hrs | 1 (1.7%) | 1 (10%) |
| N/A | 1 (1.7%) | 7 (70%) |
Factors Leading to Program Decision Not To Transport COVID-19 Patients by HEMS
HEMS: Helicopter Emergency Medical Services
| Number of Services Listing This as a Factor | |
| Inability to protect flight crew (IE Pilot) | 7 (70%) |
| Inability to protect patient care crew | 3 (30%) |
| Lack of PPE supply | 2 (20%) |
| Increased airframe downtime/unavailability due to decontamination process | 5 (50%) |
| Other | 4 (40%) |