Public Acceptance, Trust, and Self-Efficacy Related to Drone-Assisted Emergency Medical Response in Louisiana

OBJECTIVES: Drones can deliver automated external defibrillators and other emergency supplies to bystanders before an ambulance arrives, but their public-health value depends on whether the public accepts, trusts, and feels able to use them. This study examined public acceptance of drone-assisted emergency medical response in Louisiana, including trust in drone systems and self-efficacy for using drone-delivered medical supplies, and identified demographic, experiential, and attitudinal predictors of acceptance, trust, and self-efficacy among Louisiana adults. METHODS: Cross-sectional, observational online survey of 586 Louisiana adults recruited through the Dynata panel and administered via the Research Electronic Data Capture platform. Participants reviewed a standardized educational sequence describing a drone-assisted emergency response scenario before completing validated composite measures of acceptance, trust, and self-efficacy (Cronbach's alpha = .89-.91). Descriptive statistics, independent-samples t tests, paired-samples t tests, one-way analyses of variance, Pearson correlations, hierarchical multiple regression, and thematic analysis of open-ended responses were conducted. RESULTS: = .57), and trust was the strongest predictor of self-efficacy, indicating that modifiable attitudinal factors, rather than fixed demographic characteristics, drive adoption. Telecommunicator guidance increased self-efficacy versus independent action for both family members and strangers (Cohen's d = 0.41-0.44, p < .001), with no difference by recipient type. Younger and Black or African American respondents reported lower acceptance and self-efficacy. Concerns centered on reliability, navigation accuracy, and user competency; confidence was associated with demonstrated reliability, normalization, telecommunicator support, and training. CONCLUSIONS: Public acceptance is driven primarily by trust and self-efficacy, modifiable factors amenable to targeted implementation. Programs emphasizing operational reliability, telecommunicator integration, public education, and clear user guidance may accelerate adoption. These findings suggest that equity-focused outreach by emergency medical services agencies and public health partners, particularly toward younger adults and Black or African American respondents, who reported lower acceptance and self-efficacy, may help narrow demographic gaps in the public's readiness to use drone-assisted emergency response.

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Publication Details

Journal
Prehospital Emergency Care
Published
2026-08-26
DOI
https://doi.org/10.1080/10903127.2026.2724534
Primary Topic
UAV Applications and Optimization
Type
article
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article

Public Acceptance, Trust, and Self-Efficacy Related to Drone-Assisted Emergency Medical Response in Louisiana

Benjamin Swig
Prehospital Emergency Care
UAV Applications and Optimization
article

Public Acceptance, Trust, and Self-Efficacy Related to Drone-Assisted Emergency Medical Response in Louisiana

Benjamin Swig
article en

Abstract

OBJECTIVES: Drones can deliver automated external defibrillators and other emergency supplies to bystanders before an ambulance arrives, but their public-health value depends on whether the public accepts, trusts, and feels able to use them. This study examined public acceptance of drone-assisted emergency medical response in Louisiana, including trust in drone systems and self-efficacy for using drone-delivered medical supplies, and identified demographic, experiential, and attitudinal predictors of acceptance, trust, and self-efficacy among Louisiana adults. METHODS: Cross-sectional, observational online survey of 586 Louisiana adults recruited through the Dynata panel and administered via the Research Electronic Data Capture platform. Participants reviewed a standardized educational sequence describing a drone-assisted emergency response scenario before completing validated composite measures of acceptance, trust, and self-efficacy (Cronbach's alpha = .89-.91). Descriptive statistics, independent-samples t tests, paired-samples t tests, one-way analyses of variance, Pearson correlations, hierarchical multiple regression, and thematic analysis of open-ended responses were conducted. RESULTS: = .57), and trust was the strongest predictor of self-efficacy, indicating that modifiable attitudinal factors, rather than fixed demographic characteristics, drive adoption. Telecommunicator guidance increased self-efficacy versus independent action for both family members and strangers (Cohen's d = 0.41-0.44, p < .001), with no difference by recipient type. Younger and Black or African American respondents reported lower acceptance and self-efficacy. Concerns centered on reliability, navigation accuracy, and user competency; confidence was associated with demonstrated reliability, normalization, telecommunicator support, and training. CONCLUSIONS: Public acceptance is driven primarily by trust and self-efficacy, modifiable factors amenable to targeted implementation. Programs emphasizing operational reliability, telecommunicator integration, public education, and clear user guidance may accelerate adoption. These findings suggest that equity-focused outreach by emergency medical services agencies and public health partners, particularly toward younger adults and Black or African American respondents, who reported lower acceptance and self-efficacy, may help narrow demographic gaps in the public's readiness to use drone-assisted emergency response.

Prehospital Emergency Care
Tulane University (US)
Openalex Percentile: Top 30%
UAV Applications and Optimization
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