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CompletedNCT04990843E-DroneUpdated Jan 11, 2024

E-Drone: Transforming the Energy Demand of Supply Chains Through Integrated UAV-to-land Logistics for 2030

An observational study in Health Knowledge, Attitudes, Practice, sponsored by Bournemouth University. Completed at 4 sites in United Kingdom. Open to participants aged 18 Years to 99 Years. Per ClinicalTrials.gov, last updated 2024-01-11.

Sponsored by Bournemouth University · Observational

Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
24
Ages
18 Years to 99 Years
Sex
All
01

Study summary

Vans are the fastest-growing category of licensed road vehicle in the UK with growing carbon dioxide (CO2) emissions. The proposed research into how Unmanned Aerial Vehicles (UAVs) and land logistics systems can be combined and managed will provide fundamental new understanding into the impacts of regulation and operating criteria on energy efficiency and costs. Medical logistics could be the first domain to utilise UAVs on a commercial scale, with preliminary analysis on pathology logistics within Southampton indicating that UAVs would significantly reduce CO2 emissions. With the National Health Service (NHS) spending an estimated £2.5 billion annually on pathology logistics and with patient numbers rising, there is a need to re-think how logistics costs could be reduced whilst improving bleed-to-diagnosis times for patients and energy demand.

The research vision is to examine the energy reduction potential of logistics solutions involving UAVs operating alongside sustainable last-mile delivery solutions (cargo cycles and walking porters via micro-consolidation points).

This involves understanding UAV operations in airspace shared with manned aircraft. The project focuses on a case study and trials based around NHS pathology sample transportation in the Solent and Dorset region. The key research objectives are to:

  1. Investigate the collective transport and energy impacts of current 'business-as-usual' NHS pathology logistics across the Solent region;
  2. Develop new simulation tools to quantify the energy consumption of UAVs and land logistics systems resulting from new types of traffic regulation for shared airspace and the operating requirements of UAVs;
  3. Evaluate the impact on air space and energy use of a large scale take-up of UAVs for medical logistics across the Solent region;
  4. Understand stakeholder concerns about UAVs;
  5. Understand the regulatory and governance needs associated with UAV interventions that will lead to energy benefits in logistics.
02

Conditions studied

  • Health Knowledge, Attitudes, Practice

Keywords

  • Un-crewed aerial vehicles
  • Integrated logistics
  • Healthcare
  • Energy demand
  • Social practices
  • Governance
03

In context

Lead sponsor

Bournemouth University is the lead sponsor of 52 studies on the registry; 10 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 99 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

  • Task 1.1 - health staff/managers dealing with dispatch or receipt of patient diagnostics, bloods or pharmacy products at hospitals and GP surgeries, and transport staff..
  • Task 1.2 qualitative - key stakeholder groups involved in the project including, NHS staff, will be via the project teams' commercial partners, and the general public.
  • Task 1.2 quantitative - a representative sample of the UK population.
  • Task 1.3 - logistics staff and health staff/managers dealing with dispatch or receipt of patient diagnostics, bloods or pharmacy products at hospitals and GP surgeries.
  • Task 5.1 - key stakeholder groups involved in the project logistics providers, and a wider sample of the 144 organisations that responded to the Government consultation on the Future of Drones (January 2019).
  • Tasks 5.2 - Two sub-samples from task 5.1.
  • Task 6.2 - key stakeholders and members of the general public.

Inclusion criteria

  • Work Package 1

    • Task 1.1: key informants in appropriate job roles, with attention purposefully paid to gender and age balance of participants.
    • Task 1.2: Interviews - a purposeful recruitment strategy will seek participants with a range of socio-demographic characteristics. Questionnaire - Prolific (or a similar commercial company) will distribute the questionnaire (n\~1000) to achieve a representative sample of the UK population.
    • Task 1.3: key informants in appropriate job roles, with attention purposefully paid to gender and age balance of participants.
  • Work Package 5

    • Stakeholders with an interest in UAV use with a purposeful selection of participants with a range of socio-demographic characteristics.
  • Work Package 6 • Anyone interacting with the serious game in dissemination events.

Exclusion criteria

Exclusion Criteria:

  • There are no specific exclusion criteria, though clearly some tasks require key informants with specific knowledge.
05

Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
24 participants (actual)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Questionnaire to a representative panel of the public

    To explore representations of UAVs

    Time frame: 1 - 33 months

  2. Questionnaire to a representative panel of the public

    To understand public concerns

    Time frame: 1 - 33 months

  3. Questionnaire to a representative panel of the public

    To determine how UAVs empower or constrain pathways to adoption

    Time frame: 1 - 33 months

07

Study locations

4 sites
  • Dorset County Hospital NHS Foundation Trust
    Dorchester, Dorset DT1 2JY, United Kingdom
  • University Hospitals Dorset NHS Foundation Trust
    Poole, Dorset BH15 2JB, United Kingdom
  • Portsmouth Hospitals University National Health Service Trust
    Portsmouth, Hampshire PO6 3LY, United Kingdom
  • University Hospital Southampton NHS Foundation Trust
    Southampton, Hampshire SO16 6YD, United Kingdom
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jan 11, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT04990843
Lead sponsor
Bournemouth University
Collaborators
University of Southampton, University College, London, University of Leeds
Responsible party
Sponsor
First posted
Aug 5, 2021
Start date
Jan 1, 2021
Primary completion
Dec 31, 2023
Completion
Dec 31, 2023
Last update
Jan 11, 2024

Study contacts

Janet Dickinson, Professor
principal investigator · Professor in Tourism

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jan 2024. You cannot join it, but the record below documents what was studied.

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