Exploring the needs and uses for drones in medical emergencies in England and Scotland: a survey of emergency healthcare workers

preprint OA: closed CC-BY-ND-4.0
📄 Open PDF Full text JSON View at publisher

Abstract

Background The application of drones in healthcare is a new concept being introduced in various countries to fly medical supplies. Public perceptions have been investigated but the perceptions of healthcare professionals on the frontline have not been explored. This study examined the perceptions of emergency care providers in England and Scotland to determine how they believe drones could be used when providing emergency care. Methods Frontline healthcare professionals were surveyed regarding their perceptions of drones in emergency medical scenarios. A survey with 27 questions built on SNAP 11 was published on social media for participant recruitment. Results Thematic analysis yielded insights into what healthcare professionals believe should be flown in an emergency notably: blood, defibrillators, and medication. Drones are perceived to be beneficial for life-threatening scenarios (high-risk, time-critical, trauma, search, and rescue applications) and routine medical care such as delivery of medical supplies and minor interventions. 100% of participants believed that providing medical care could benefit from a drone flying to a remote area or directly to a patient. 76% believed that having a drone fly key medical equipment faster could change the outcome of a patient. Scepticism regarding regulations and logistics involved, as well as concern for drone-based medical care, were identified by participants. Conclusion Drone use in healthcare remains an immature field and this study confirms that this domain warrants further research. It is key to remember that the perspectives of those impacted by the integration of drones will have to be explored to guide the application.
Full text 47,850 characters · extracted from oa-pdf · 11 sections · click to expand

Abstract

Background: The application of drones in healthcare is a new concept being introduced in various countries to fly medical supplies. Public perceptions have been investigated but the perceptions of healthcare professionals on the frontline have not been explored. This study examined the perceptions of emergency care providers in England and Scotland to determine how they believe drones could be used when providing emergency care.

Methods

Frontline healthcare professionals were surveyed regarding their perceptions of drones in emergency medical scenarios. A survey with 27 questions built on SNAP 11 was published on social media for participant recruitment.

Results

Thematic analysis yielded insights into what healthcare professionals believe should be flown in an emergency notably: blood, defibrillators, and medication. Drones are perceived to be beneficial for life -threatening scenarios (high -risk, time -critical, trauma, search , and rescue applications) and routine medical care such as delivery of medical supplies and minor interventions. 100% of participants believed that providing medical care could benefit from a drone flying to a remote area or directly to a patient. 76% believed that having a drone fly key medical equipment faster could change the outcome of a patient. Scepticism regarding regulations and logistics involved, as well as concern for drone -based medical care, were identified by participants.

Conclusion

Drone use in healthcare remains an immature field and this study confirms that this domain warrants further research. It is key to remember that the perspectives of those impacted by the integration of drones will have to be explored to guide the application.

Keywords

drones, emergency, medical care

Acknowledgements

We would like to thank the participants of the survey and contacts that helped with recruitment. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. 2

Introduction

A drone, or unmanned aerial vehicle (UAV), is an aircraft without a pilot, guided remotely(1). The first known UAV use was in 1849, as a violent act by Austria against Venice(2). Drones are commonly used in warfare, with the USA deploying them in Afghanistan, and Ukraine using them against Russia(3,4). Other applications for drones include surveillance, photography, mapping, locating survivors and delivering supplies(5). Drones are attractive because they can bypass the constraints and limitations of road transportation with various payloads, speeds and heights(5). The novel application of drones in healthcare has thus far included flying medical supplies such as vaccines, blood , prescription medicines, specimens and insulin in Africa, Europe, and USA(5,6). Covid-19 accelerated the usage of drones in the healthcare field , adapting UAVs to the challenges experienced in lockdowns and maximised delivering testing samples, personal protective equipment, and vaccines(7,2). While d rones remain in their infancy stages within healthcare, UAVs are becom ing increasingly appealing for emergency care settings. Drones have successfully flown defibrillators to emergencies requiring immediate medical care(2). In 2022, a man was saved in Sweden because a defibrillator was delivered by drone before the ambulance arrived(8). Investigations into flying organs by drone to decrease transplantation waiting times have found successful deliveries of kidney and lungs (9). Lungs were delivered in 2021 in Toronto for transplantation(10). . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 3 One study was conducted in the United Kingdom (UK) investigating flying a medical supply for an emergency case scenario(11). The study in Wales flew a defibrillator by drone in a successful simulation in 2021(1 1). This prompted further research into drone development in healthcare in the UK (11). Public perception of drones is key to integrating drones into healthcare(1 2). Only one study considered healthcare professionals’ acceptance of drones : examining what surgeons thought about drones being used in the American organ transplantation context(13). The current study targeted the requirement for further research on drones in healthcare. If drones are to be introduced to the UK healthcare system, it is essential to assess perceived needs. Public perceptions have been studied and trials have begun for operating drones; investigating perceptions of what a drone can carry have not. This study explored how drones could benefit medical emergencies in the UK through surveying emergency healthcare providers to determine their needs and how they could be assisted by drones in emergency situations. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 4

Methods

The research question for the study was “how can drones be used in emergency care settings in the United Kingdom?”. This study explored potential uses and needs for drones in the UK when caring for a patient in an emergency medical setting by: • Administering a survey to investigate the perceptions of emergency healthcare professionals working on the frontline. • Identifying a list of items that emergency care providers believe would be beneficial to have flown in a medical emergency. • Analysing the data collected to create recommendations for future drone development in healthcare. • Informing future research for providing healthcare in the UK. The survey was built on S NAP 11(14). It consisted of 60 questions, including multiple choice questions, open -ended questions and six medical scenarios where participants were invited to comment on what they would like a drone to carry to provide care to the patient. The survey was distributed on social media platforms as they are a free recruitment tool and a proven recruitment method(1 5). The research team posted on Twitter, LinkedIn , and Facebook, for convenience sampling recruitment . Key contacts in the industry shared the link on their platforms. Email was used to contact eligible charities and organisations that provide frontline medical care. This survey was distributed throughout the UK, seeking representation from each constituent country. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 5 Eligible participants (filtered via eligibility questions in the survey) were UK healthcare providers over the age of 18. Consent was obtained electronically at the beginning of the questionnair e, following an information landing page. Participants remained anonymous with the only personal information being their profession, organisation, and country. Ethical approval was received by the School Ethics Review Board (SERB) of the University of Aberdeen for the Faculty Medicine, Medical Sciences and Nutrition, reference 2367. It took six days until the recruitment of the first participant, despite analytics demonstrating high engagement with the posts and clicks on the survey link. Feedback was received that the survey was too long, and an amendment was submitted to SERB to remove 33 questions. The decision as to which questions to keep or remove w as based on the three responses received. Among the 33 questions, three scenarios were removed. Approval was received and the revised shorter su rvey was launched. The quantitative data was analysed using descriptive statistics in percentages. The qualitative data was analysed through Braun & Clarke’s thematic analysis methodology(1 6). The six steps were applied to identify, extract and present the relevant themes provided by the participants in the open- ended questions and the medical scenarios(16). . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 6

Results

Table 1: Survey Overview Numbers SNAP 11 does not provide analytics, so this was monitored regularly by noting the number of viewers on the link when logging into SNAP 11 . As only th e viewers on the link at the time of checking were noted, it is possible there were more than 207 viewers. There was a total of 17 participants, with an additional nine who began the survey but were not eligible based on their response to the first question (asking whether they are an emergency healthcare worker). While Wales and Northern Ireland were included in the recruiting strategy, no participants were yielded. This research comprises only of England and Scotland. Clicks on link 207 Respondents 17 England 11 Scotland 6 Wales 0 Northern Ireland 0 . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 7 Table 2: The medical professions of the participants involved in the study Profession Number of participants Medic 6 General Practitioner 2 Paramedic 2 Volunteer 1 Other: Doctor 3 Other: Care Assistant 1 Other: Medical Student 1 Other: Biomedical Scientist 1 Total 17 The participants were given a list of professions to select from and if they did not find their profession, they could tick the box “other” and complete the box with their profession. There was a mix of geographical locations from the respondents of urban, rural, or replying “other” to include a mixture of urban and rural based on where they were sent to provide care. When asked whether a drone could facilitate providing emergency care if it could fly to a laboratory, 65% replied “yes” and 35% replied “no”. When asked whether a drone could enable emergency care by flying to a remote location or to an endangered patient, 100% replied “yes”. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 8 When asked in an open -ended question whether they believed having key medical equipment brought to them faster during an emergency medical case could change the outcome of a patient, 76% replied yes. Within the other responses, a “yes” was written accompanied by something else to provide some form of scepticism or concern such as: “Yes, but I think this would be too heavy for a drone”. “Yes - but dispatch would need to be super-efficient. Drones might fly fast, but if it takes 30 minutes for a technician to load, programme and launch the drone then you've missed the boat”. “Possibly, as long as it did not cause the air ambulance to crash, killing all inside”. “Reduced time to first shock in defib use”. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 9 Table 3: Participant concerns & scepticism related to using drones in healthcare Participants were asked a series of questions regarding concerns or scepticism they may have towards the usage of drones and were invited to elaborate. Table 3 captures what was shared regarding potential obstacles or fears associated with using drones. Many of the issues raised involve establishing drones in the healthcare system such as airspace concerns and related expenses. Airspace Logistics Drone Traits Patient Care Saturated airspace Who operates the drones and licensing Speed Patient safety Cost of using drones Range Funding for the drones Pollution Major threat for air ambulances and the employees who fly them Time-constraint to deploy the drones Weather concerns Noise Expenses related to using drones Battery-life Accurate dispatch for pre-hospital care (already a current challenge) “Cultural and professional barriers” Risk to other aircrafts Requiring clear and specific instructions to avoid misuse Payload Operational challenges Robustness Liability Drone failures Collisions . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 10 Figure 1: What participants would like a drone to fly in a medical emergency The participants were asked to select as many options as they wished from a list. Defibrillators and medication were the most popular responses with trauma-specific equipment and first aid kits coming in third. “Other” included blood products, vaccines, intubation kit, warming/shelter equipment, and small investigations such as an electrocardiogram. 13 12 9 9 7 6 5 5 5 5 4 3 Medical Items Defibrillator Medications First Aid Kit Trauma-Specific Equipment Blood Samples Time-Sensitive Samples Medical Equipment to Care for Newborn Organs Samples Other Urine/Stool Samples Sepsis 6 Bundle Medical Items to be Flown by Drone Participants . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 11 Figure 2: Flowchart for Pre-Hospital Emergency Medical Cases Life-threatening High-risk case Labour Medication Uterine stimulant Pain Relief Overdose Activated Charcoal Time-critical Cardiac Cardiac Arrest Defibrillator Respiratory Anaphylaxis Medication (Epinephrine) Infection Sepsis Antibiotics Trauma Catastrophic Haemorrhage or Hypovolemia Blood Head Injury Airway Kit Entrapment Trauma Equipment & Blood Search & Rescue Location Rural Remote Mountain Rescue Natural Disaster Thermal Imaging . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 12 Figure 2 shows the themes extracted from the survey and addresses the medical emergency nature that drone-based care might provide. The umbrella term “life-threatening” is divided into four case categories: high -risk, time-critical, t rauma, and search and rescue. Within each category, participants provide a medical condition paired with the appropriate medical equipment to be flown. A trauma patient entrapped with severe blood loss can have the drone fly trauma specialised equipment and blood products to the team to keep the patient alive until transport to a hospital. While a patient experiencing an overdose has a window of time to reach the hospital, a drone could fly active charcoal faster. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 13 Figure 3: Flowchart for Application of Drones in Pre-Hospital Standard Care Routine Care Laboratory Samples Routine Emergency Small Interventions ECG Blood Pressure First Aid Kit Snake Bite Treatment Delivery of Supplies Vaccines Resupplying Stock Warming Blanket for a medical case . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 14 Figure 3 presents the second theme identified: “routine care”. This was extracted from participant responses providing examples of use-cases when they believed a drone could be beneficial, falling under “standard medical care”. A drone to fly to and from a laboratory to analyse samples whether as part of a routine rural GP delivery , or an emergency would be valuable. Small interventions, specifically for rural areas that do not have access to specialised equipment at all times, could be flown by drone to aid these healthcare providers. The delivery of supplies includes vaccines to a rural practice, resupplying medical equipment that has been used in an emergency or providing additional support like a warming blanket. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 15 Figure 4: Flowchart of Scenario 1: Involving a trauma injury with severe blood loss 70% of participants responded their desired primary medical supply being flown would be blood or blood products. Additional medical supplies were identified such as a tourniquet, dressings, and a tranexamic acid (TXA) autoinjector. Three participants wrote they could not provide an answer, due to the scenario being beyond their scope of practice. Trauma Injury Blood Blood Products Blood Type Cross-Match Platelets O-Negative Blood Medical Equipment Tourniquet Dressings & Gauze TXA Autoinjector First Aid Kit . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 16 Figure 5: Flowchart of Scenario 2: Involving a patient requiring CPR A defibrillator was the primary medical supply identified in Figure 5 . Other medical equipment reported to accompany the usage of the defibrillator were an airway kit, medication, and a LUCAS*. * A LUCAS is automized medical equipment that conducts chest compressions for CPR. CPR Defibrillator LUCAS Medication Adrenaline Amiodarone Airway Kit Ventilation bag Airway tools . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 17 Figure 6: Scenario 3: Mother experiencing labour difficulties In the scenario of labour difficulties, participants were divided, with 53% providing an example of a medical supply the drone could fly . 47% thought that they could not envision using a drone in this scenario, that the mother would need a hospital immediately, or that their rural location could not provide appropriate care, ultimately rendering medical care by drone insufficient. A participant wrote: “frankly I'd rather have a helicopter take the mother and baby elsewhere asap (sic: as soon as possible)”. The 53% offering ideas of medical equipment, rang ed from life-saving supplies like blood or a resus kit to care supplies such as pain relief and a blanket for either the mother or new-born. Labour Scenario Mother Assist labour Medication Uterine stimulant Pain relief Life-saving equipment Defibrillator Blood products Surgical kit Laboratory samples Newborn Life-support Neonatal Resus Kit Routine care supplies Blanket Hat . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 18

Discussion

The themes identified, life-threatening and routine care, both harness the capabilities a drone can offer such as flying rapidly to a medical emergency and reaching rural locations requiring medical supplies. The main themes correspond with the three main medical supplies identif ied: blood, defibrillator, and medication. Blood coincides with trauma cases such as hypovolemia or catastrophic haemorrhage. Flying essential medication to provide care to a patient experiencing a life-threatening emergency can vary based on the setting . Anaphylaxis was an example provided by participants where adrenaline could be flown to care for this patient. The participants reported other medical supplies, but these were in response to specific questions or prompts such as snake bites. For a traumatic injury, the consensus was that a drone could deliver blood pr oducts. Participants did note that based on their specific profession they may have blood with them but could be resupplied by a larger hospital via drone. Blood is not listed in Figure 1 but was written explicitly under “other” for participants and is evidently something that would be valuable to have flown. Regarding the CPR scenario, participants primarily reported a defibrillator and a LUCAS; this was specified to rural or remote cases for some participants. Participants did note that they usually have a defibrillator on them so this could be for bystander to receive a defibrillator if one wasn’t available. Given that drones can broaden the possibilities for providing medical care, the role of the bystander would need to be evaluated and taken into consideration. For other questions asking what drones could carry, a participant wrote: “AED (defibrillator) for bystander performing . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 19 CPR”. This i s supported by the literature where bystanders using defibrillators can improve survival rate(17). The mother in labour scenario is the only one that does not describe the medical care the patient requires, only describing “labour difficulties” to invite creative thinking, interpretation and address the unplanned nature of childbirth. Responses showed a divide between participants. Some who did provide an answer for a medical supply expressed discomfort with drone -based care. Using drones for childbirth care is unprecedented, however, a novel pilot project in Botswana is addressing the maternal mortality associated with childbirth by delivering blood or medication to four villages to provide life-saving care to pregnant women(18). A participant submitted a compelling response: “I think your focus is about what it can carry - perhaps think more broadly about what it can do e.g., 'eyes' to search for casualty, thermal imaging at night, etc.”. It is possible that researchers are limiting themselves by focusing solely on what a drone can carry. Integrating drone-based medical care into the British healthcare syste m would involve logistics on multiple levels. This would include licensing for flying drones, responsibility for dispatching drones, establishing relevant contexts, what the drone is containing and the direction of flight for the drone (i.e., to or from a patient). The drone -based care team would be extensive based on the dispatch and receival of drones, not solely the team present with the patient . Additionally, current healthcare providers cannot spend time while caring for a patient to load and fly the drone, anything they do must be very rapid. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 20 A participant responded: “Although ED is so busy now if a responsive service with drones could beat the ED queue?”. This is a fascinating idea to consider and contemplate the changes to be made if drones were fully integrated, broadening the implication of drone-based care. Findings that blood is a valuable medical item to fly within done -based care supports current literature. Rwanda integrated blood delivery with drones in 2016 to improve blood delivery and care (19). 43% of drone deliveries, from 2017 to 2019 in Rwanda were emergency blood deliveries and had quicker dispatch es than ground transportation (19). A study in Montreal simulated the delivery of blood products from a blood bank to a hospital, comparing drones with ground transportation, finding that drones were faster and offered significant time benefits, which would be beneficial during a mass casualty incident(20). Additionally, Japan flew blood in drones in a transoceanic flight to reach remote islands to provide blood transfusions(21). The factor predicting survival for out -of-hospital cardiac arrest is the response time (22). Boutilier et al modelled that drones could fly and deliver a defibrillator faster than the 911 response median time in Toronto (23). A Swedish pilot-study investigated flying a drone for real-life cardiac emergencies and established that defibrillators were successfully dispatched and received in 92% of cases(24). Regarding the integration of drones, a study in North Carolina found that a theoretical drone network to deploy 500 drones to cardiac arrest cases would double expected survival rates due to rapid response while being co st-effective(25). These studies correspond with the current study participants reporting a need to fly defibrillators. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 21 Adrenaline and antivenom for snake bites have been tested for drone flight and found that the integrity was not changed(26,27). Antibiotics have been considered a good candidate for flight to treat sepsis(27). Further research should be conducted for flying medications by drone and other medical supplies like the LUCAS have not been investigated. Table 3 presents valid, self-explanatory concerns noting logistical aspects that would need to be organised prior to integrating drones into healthcare and developing appropriate regulations. Cost is written as “the potential being outweighed by the expenses” by a participant. There was negativity surrounding the usage for drones where “ambition is ahead of capability” . Collisions were reported as a concern, with an air ambulance professional writing: “drone s are one of the biggest risks to my life in the air”. While drone crashes are rare, regulations must be developed to address the event of a drone crash (2 9). In comparison, there was enthusiasm expressed as: “No, think they could be revolutionary”. Ghana and Rwanda have harnessed medical drones to reduce their carbon footprint( 30). Drones emit low carbon emissions because they run on batteries instead of fuel, making them friendlier for the environment rendering the “pollution” concern in Table 3 inapplicable(30). Natural disasters were reported without further elaboration. Drones have been used in post- natural disaster settings to provide humanitarian aid by delivering supplies to remote areas or searching for survivors(31). While social media for research recruitment has its strengths, it requires a network to be useful. The student researcher is an international student and does not have an extensive network in the UK, meaning the recruitment was limited to supervisors and few key contacts in the industry. . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 22 It was not possible to verify the eligibility of participants. The ambiguity of this survey is evident through nine respondents beginning the survey while being ineligible. Selection bias is a concern through convenience sampling as it was anticipated that participants who have knowledge of drones or an interest/dislike towards drones would be participating . Future studies should include a larger sample size. The study faced time constraints and as such, only SERB was contacted, rather than also going through NHS e thics. Time constraints were addressed by keeping the survey open for as long as possible. The survey struggled with a low response rate despite high engagement. It was anticipated there may be a greater sample collected from Scotland due to the University of Aberdeen and large representation from England due to population size. Research fatigue was a major deterrent for completing the survey as two contacts deni ed our request to help distribute the survey due to research fatigue experience d by healthcare professionals(32). This was further confirmed by a charity responding saying they can only participate in a limited number of studies per year and had already maximised that number. A notable strength of this study is the exploratory nature to investigate the perceptions of frontline healthcare workers who would be impacted by drone integration. The insights offered warrant further research . This survey provides valuable insights to guide future research and drone governance. While it is possible to continue investigating what drones can fly and how to make the science behind flying medical equipment viable, it will remain just as essential to consider the perspectives of those who would be involved in integrating drones into healthcare. It would be valuable to investigate perceptions of groups individually like . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 23 paramedics, nurses, or laboratory workers and then distinguish the relevant medical cases for those groups. Regardless of drones being notorious for politics, warfare, and terrorism , the healthcare sector could utilize the abilities that drones have to offer to better the efficiency of their services(33). . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 24

References

1.Collins Dictionary [Internet]. Definition of a Drone. [cited 2022 May 3]. Available at: https://www.collinsdictionary.com/dictionary/english/drone 2. Johnson AM, Cunningham CJ, Arnold E, Rosamond WD, Zègre-Hemsey J. Imapct of Using Drones in Emergency Medicine: What Does the Future Hold? Open Access Emergency Medicine [Internet]. 2021 Nov [cited 2022 May 10]; 13: 487-498. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605877/ doi: 10.2147/OAEM.S247020 3. Preble BC. A case for drones. Technology and Engineering Teacher [Internet]. 2015 Apr [cited 2022 May 6]; 74(7): 24-29. Available from: https://ucd.idm.oclc.org/login?url=https://www.proquest.com/scholarly-journals/case- drones/docview/1677224159/se-2?accountid=14507 4. Borger, J. The drone operators who halted Russian convoy headed for Kyiv. The Guardian [Internet]. 2022 Mar 28 [cited 2022 May 2]. Available from: https://www.theguardian.com/world/2022/mar/28/the-drone-operators-who-halted-the-russian- armoured-vehicles-heading-for-kyiv 5. Scott JE, Scott CH. Drone Delivery Models for Medical Emergencies. In: Wickramasinghe N, Bodendorf F, editors. Delivering Superior Health and Wellness Management with IoT and Analytics. Springer Nature Switzerland; 2019 p.69-85 [cited 2022 May 13]. Springer, Cham [Internet]. Available from: https://rdcu.be/cST5V . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 25 6. Oakley A, Waters T, Zhu W, Royall PG, Cherett T, Courtney P, Majoe D, Jelev N. Quantifying the Effects of Vibration on Medicines in Transit Caused by Fixed-Wing and Multi- Copter Drones. Drones [Internet]. 2021 Mar [cited 2022 May 18]; 5(22). Available from: https://www.mdpi.com/2504-446X/5/1/22 doi: https://doi.org/10.3390/drones5010022 7. Restás Á. Drone Applications Fighting COVID-19 Pandemic— Towards Good Practices. Drones [Internet]. 2022 Jan [cited 2022 May 7]; 6(15). Available from: https://www.mdpi.com/2504-446X/6/1/15 doi: https://doi.org/10.3390/drones6010015 8. Drone helps save cardiac arrest patient in Sweden. BBC News [Internet]. 2022 Jan 6 [cited 2022 May 3]. Available from: https://www.bbc.co.uk/news/technology-59885656 9. Scalea JR, Pucciarella T, Talaie T, Restaino S, Drachenberg CB, Alexander C, Qaoud T, Barth RN, Wereley N, Scassero M. Successful Implementation of Unmanned Aircraft Use for Delivery of a Human Organ for Transplantation. Annals of Surgery [Internet]. 2021 Sept [cited 2022 May 17]; 274(3): 282-288. Available from: https://pubmed.ncbi.nlm.nih.gov/31663974/ doi: 10.1097/SLA.0000000000003630 10. Drone delivers lungs for transplant to Toronto hospital in world 1st, health network says. CBC News [Internet]. 2021 Oct 21 [cited 2022 May 3]. Available at: https://www.cbc.ca/news/canada/toronto/first-lung-transplant-drone-1.6208057 11. Rees N, Howitt J, Breyley N, Geoghegan P, Powel C. A simulation study of drone delivery of Automated External Defibrillator (AED) in Out of Hospital Cardiac Arrest (OHCA) in the UK. PLoS One [Internet]. 2021 Nov [cited 2022 May 8]; 16(11). Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0259555 doi: https://doi.org/10.1371/journal.pone.0259555 . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 26 12. Truog S, Maxim L, Matemba C, Blauvelt C, Ngwira H, Makaya A, Moreira S, Lawrence E, Ailstock G, Weitz A, West M, Defawe O. Insights Before Flights: How Community Perceptions Can Make or Break Medical Drone Deliveries. Drones [Internet]. 2020 Aug [cited 2022 May 12]; 4(3). Available from: https://www.mdpi.com/2504-446X/4/3/51 doi: 10.3390/drones4030051 13. Talaie T, Niederhaus S, Villalongas E, Scalae J. Innovating organ delivery to improve access to care: surgeon perspectives on the current system and future use of unmanned aircrafts. BMJ Innovations [Internet]. 2020 Dec [cited 2022 May 14]; 7: 157-163. Available from: https://innovations.bmj.com/content/7/1/157.info doi: 10.1136bmj innov-2020-000439 14. University of Aberdeen [Internet]. Snap Surveys. [cited 2022 Aug 6]. Available at: https://www.abdn.ac.uk/it/service-portfolio/sc-comm-web-survey.php 15. Gelinas L, Pierce R, Winkler S, Cohen IG, Lynch HF, Bierer BE. Using Social Media as a Research Recruitment Tool: Ethical Issues and Recommendations. American Journal of Bioethics [Internet]. 2017 Mar [cited 2022 Jul 31]; 17(3): 3-14. Available from: https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5324729&blobtype=pdf doi: 10.1080/15265161.2016.1276644 16. Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology [Internet]. 2008 Jul [cited 2022 May 24]; 3(2): 77-101. Available from: https://www.tandfonline.com/doi/abs/10.1191/1478088706qp063oa doi: 10.1191/1478088706qp063oa . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 27 17. Zègre-Hemsey JK, Bogle B, Cunningham CJ, Snyder K, Rosamond W. Delivery of Automated External Defibrillators (AED) by Drones: Implications for Emergency Cardiac Care. Current Cardiovascular Risk Reports [Internet]. 2018 Sept [cited 2022 Jul 25]; 12(25). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6233720/ doi: 10.1007/s12170-018-0589- 2 18. Drones deliver blood to prevent maternal death in Botswana. United Nations News [Internet] 2021 May 30 [cited 2022 Jul 27]. Available from: https://news.un.org/en/story/2021/05/1092512 19. Nisingizwe MP, Ndishimye P, Swaibu K, Nshimiyimana L, Karame P, Dushimiyimana V, Musabyimana JP, Musanabaganwa C, Nsanzimana S, Law MR. Effect of unmanned aerial vehicle (drone) delivery on blood product delivery time and wastage in Rwanda: a retrospective, cross-sectional study and time series analysis. The Lancet [Internet]. 2022 Apr [cited 2022 Jul 30]; 10: 564-569. Available from: https://www.thelancet.com/pdfs/journals/langlo/PIIS2214- 109X(22)00048-1.pdf doi: 10.1016/S2214-109X(22)00048-1 20. Homier V, Brouard D, Nolan M, Roy M-A, Pelletier P, McDonald M, de Champlain F, Khalil E, Grou-Boileau F, Fleet R. Drone versus ground delivery of simulated blood products to an urban trauma center: The Montreal Medi-Drone pilot study. Journal of Trauma and Acute Care Surgery [Internet]. 2020 Oct [cited 2022 Jul 31]; 90(3): 515-521. Available from: https://oce.ovid.com/26a0dec2-bddc-45e1-9250- 9fb5309404b2blob:https://oce.ovid.com/26a0dec2-bddc-45e1-9250-9fb5309404b2 doi: 10.1097/TA.0000000000002961 . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 28 21. Yakushiji K, Yakushiji F, Yokochi T, Murata M, Nakahara M, Hiroi N, Fujita H. Quality Control of Red Blood Cell Solutions for Transfusion Transported via Drone Flight to a Remote Island. Drones [Internet]. 2021 Sept [cited 2022 Jul 31]; 5(96). Available from: https://mdpi- res.com/d_attachment/drones/drones-05-00096/article_deploy/drones-05-00096- v2.pdf?version=1631777934 doi: https://doi.org/10.3390/drones5030096 22. O’Keefe C, Nicholl J, Turner J, Goodacre, S. Role of ambulance response times in the survival of patients with out-of-hospital cardiac arrest. Emergency Medicine Journal [Internet]. 2011 Jul [cited 2022 Jul 29]; 28(8): 703-706. Available from: https://emj.bmj.com/content/28/8/703 doi: http://dx.doi.org/10.1136/emj.2009.086363 23. Boutilier JJ, Brooks SC, Janmohamed A, Byers A, Buick JE, Zhan C, Schoellig AP, Cheskes S, Morrison LJ, Chan TCY. Optimizing a drone network to deliver automated external defibrillators. Circulation [Internet]. 2017 Mar [cited 2022 Jul 26]; 135(25): 2454-2465. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516537/ doi: 10.1161/CIRCULATIONAHA.116.026318 24. Schierbeck S, Hollenberg J, Nord A, Svensson L, Nordberg P, Ringh M, Forsberg S, Lundgren P, Axelsson C, Claesson A. Automated external defibrillators delivered by drones to patients with suspected out-of-hospital cardiac arrest. European Heart Journal [Internet]. 2022 Apr [cited 2022 July 26]; 34(15): 1478-1487. Available from: https://academic.oup.com/eurheartj/article/43/15/1478/6358076 doi: https://doi.org/10.1093/eurheartj/ehab498 . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 29 25. Bogle B, Rosamond WD, Snyder KT, Zègre-Hemsey JK. The Case for Drone-assisted Emergency Response to Cardiac Arrest. North Carolina Medical Journal [Internet]. 2019 Nov [cited 2022 Jul 31]; 80(4): 204-212. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884740/ doi: 10.18043/ncm.80.4.204 26. Beck S, Bui TT, Davies A, Courtney P, Brown A, Geudens J, Royall PG. An Evaluation of the Drone Delivery of Adrenaline Auto-Injectors for Anaphylaxis: Pharmacists’ Perceptions, Acceptance, and Concerns. Drones [Internet]. 2020 Oct [cited 2022 Jul 29]; 4(66). Available from: https://www.updwg.org/wp- content/uploads/2021/01/An-Evaluation-of-the-Drone-Delivery-of-Adrenaline.pdf doi: 10.3390/drones4040066 27. Meier P, Bergelund, J. Field-Testing the First Cargo Drone Deliveries in the Amazon Rainforest. We Robotics [Internet]. 2017 Feb [cited 2022 Aug 2]. Available from: https://blog.werobotics.org/wp-content/uploads/2017/02/WeRobotics-Amazon-Rainforest- Cargo-Drones-Report.pdf 28. Hii MSY, Courtnet P, Royall, PG. An Evaluation of the Delivery of Medicines Using Drones. Drones [Internet]. 2019 June [cited 2022 Aug 2]; 3(3). Available from: https://www.mdpi.com/2504-446X/3/3/52/htm doi: https://doi.org/10.3390/drones3030052 29. Civil Aviation Authority. Drone Safety Risk: An assessment [Internet]. West Sussex (UK): Civil Aviation Authority; 2018 [cited 2022 Mar 26]; p.23. Available from: https://publicapps.caa.co.uk/docs/33/CAP1627_Jan2018.pdf . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint 30 30. Damoah, IS, Ayakwah A. Tingbani I. Artificial intelligence (AI)- enhanced medical drones in the healthcare supply chain (HSC) for sustainability development: A case study. Journal of Cleaner Production [Internet]. 2021 Dec [cited 2022 Jul 28]; 328. Available from: https://www.sciencedirect.com/science/article/pii/S0959652621037768?casa_token=wieuXwfmn aQAAAAA:E9WDVZEAlEQoXQR-nBBcrfTYnwAXLrM7ARod86q9jmkXSg9- KJrAPjhgShF4L2TyPqX24D4 doi: https://doi.org/10.1016/j.jclepro.2021.129598 31. Rejeb A, Rejeb K, Simske S, Treiblmaier H. Humanitarian Drones: A Review and Research Agenda. Internet of Things [Internet]. 2021 Dec [cited 2022 Aug 2]; 16. Available from: https://www.sciencedirect.com/science/article/pii/S2542660521000780 doi: https://doi.org/10.1016/j.iot.2021.100434 32. Patel SS, Webster RK, Greenberg N, Weston D, Brooks SK. Research fatigue in COVID-19 pandemic and post-disaster research: causes, consequences and recommendations. Disaster Prevention and Management [Internet]. 2020 Nov [cited 2022 Aug 6]; 29(4). Available from: https://www.emerald.com/insight/content/doi/10.1108/DPM-05-2020-0164/full/html doi: 10.1108/DPM-05-2020-0164 33. Ludvigsen JAL. The portrayal of drones in terrorist propaganda: a discourse analysis of Al Qaeda in the Arabian Peninsula’s Inspire. Dynamics of Asymmetric Conflict [Internet]. 2018 Jan [cited 2022 Aug 2]; 11(1): 26-49. Available from: https://www.tandfonline.com/doi/full/10.1080/17467586.2018.1428764 doi: https://doi.org/10.1080/17467586.2018.1428764 . CC-BY-ND 4.0 International licenseIt is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review) The copyright holder for this preprint this version posted October 20, 2022. ; https://doi.org/10.1101/2022.10.18.22280902doi: medRxiv preprint

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-pdf

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-05-28T02:00:01.590549+00:00
License: CC-BY-ND-4.0