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. 2023 Nov 17:11:1199234.
doi: 10.3389/fpubh.2023.1199234. eCollection 2023.

Acceptance of medical drone technology and its determinant factors among public and healthcare personnel in a Malaysian urban environment: knowledge, attitude, and perception

Muhammad Za'im Sahul Hameed  1 , Rosdiadee Nordin  2 , Aniza Ismail  1 , Muhammad Aidiel Zulkifley  2 , Aina Suraya Helmy Sham  2 , Raja Zahratul Azma Raja Sabudin  3 , Mohamed Afiq Hidayat Zailani  3 , Ismail Mohd Saiboon  4 , Zaleha Abdullah Mahdy  5
Affiliations

Acceptance of medical drone technology and its determinant factors among public and healthcare personnel in a Malaysian urban environment: knowledge, attitude, and perception

Muhammad Za'im Sahul Hameed et al. Front Public Health. .

Abstract

Introduction: Unmanned aerial vehicles (UAVs) are used for commercial, medical, public safety, and scientific research purposes in various countries.

Methods: This study aimed to explore the acceptance of medical delivery drones among medical practitioners as well as the public community in Malaysia using a knowledge, attitude, and perception (KAP) model and statistical analysis to decrease uncertainty. Bivariate and multivariate analyses of the results were performed in SPSS.

Results: A total of 639 respondents took part in the survey, of which 557 complete responses were finally analyzed. The results showed that the overall acceptance rate for medical delivery drones was positive. The acceptance rate was significantly correlated with knowledge, attitude, and perception scores but not with sociodemographic factors.

Discussion: Raising awareness and educating the medical as well as public communities regarding the potential role and benefits of drones are therefore important in garnering support for drone usage for medical purposes.

Keywords: KAP model; drone acceptance; medical delivery drone; medical practitioners; public community.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Relationship between acceptance and knowledge scores.
Figure 2
Figure 2
Perception versus acceptance in community members and medical practitioners’ groups.
Figure 3
Figure 3
Relationship of percentage of mean attitude against acceptance scores.
See this image and copyright information in PMC

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