Evidence map›Paper›PMID 40547476›Full record

ArticleFrontiers in public health2025

Study on medical professionals' acceptance of and factors influencing drone delivery for medical supplies.

Zhao Zhang, Chun-Yan Xiao, Ya Wang, Wan-Cui Song, Jia-Yi Sun, Zhi-Guo Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhao Zhang *School of Logistics, Chengdu University of Information Technology, Chengdu, China.
Chun-Yan Xiao *School of Logistics, Chengdu University of Information Technology, Chengdu, China.
Ya Wang *Xichang People's Hospital, Xichang, China.
Wan-Cui SongMianyang Teacher's college, Mianyang, China.
Jia-Yi SunSchool of Emergency Science, Xihua University, Chengdu, China.
Zhi-Guo ZhangSchool of Logistics, Chengdu University of Information Technology, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Drone delivery technology provides innovative alternatives for the transportation of medical supplies. Due to their quick reaction, effectiveness, and adaptability, drones can drastically reduce the time it takes to deliver medications, vaccines, and emergency supplies as compared to standard logistics models. However, the real marketing of drone delivery technology has been hampered by medical professionals' concerns about its stability, safety, and dependability. Medical professionals are the primary users of medical delivery drones, hence, their opinions are crucial for the spread of the technology. To encourage the optimization and real-world use of this technology, it is crucial to methodically investigate the elements influencing medical staff's approval of drone delivery. Methods: Using a sample of medical personnel from the emergency department of a large hospital in Chengdu City (N=289), this study conducted regression analyses using a binary logistic model for each of the four categories of medical supplies to identify key factors that can influence medical personnel's willingness to use drones. We then continued to explore the hierarchical structure and dynamic dependency relationships among the deeper factors of these causes using a Fuzzy-ISM model. Results: The study concluded that, in the initial stage, priority should be given to creating a favorable development environment for the project rather than pursuing substantive construction; in the trial operation period, the focus of construction should be on strengthening infrastructure and improving professional staffing; in the scale-up stage, the focus of attention should be on cost reduction, improving distribution efficiency, improving project safety, and optimizing the way of managing and operating the project. Discussion: These improvements will be more conducive to increasing the willingness of medical workers to use drones to distribute medical materials and more conducive also to the early realization of regular distribution of medical materials by drones.

Indexed as

AircraftAttitude of Health PersonnelEquipment and SuppliesHealth PersonnelAdultChinaEmergency Service, HospitalFemaleHumansMaleMiddle AgedSurveys and Questionnairesbinary logisticdrone deliveryfuzzy-ISMhealthcare workersmanagement construction pathwaymedical supplies

Identifiers

PMID40547476
PMCPMC12180135

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.