Public Acceptance, Trust, and Self-Efficacy Related to Drone-Assisted Emergency Medical Response in Louisiana (2026)

This dataset was collected to examine public perceptions of drone-assisted emergency medical response among Louisiana adults, with a focus on identifying modifiable predictors of acceptance that can inform implementation strategies for prehospital drone delivery programs.

Cross-sectional, self-report online survey data collected via REDCap through the Dynata commercial research panel. The dataset contains de-identified individual-level responses from 586 Louisiana adults. Variables include validated composite Likert-scale measures of acceptance, trust, and self-efficacy; demographic and background characteristics; paired within-person self-efficacy ratings under different telecommunicator guidance conditions; and free-text qualitative responses to two open-ended questions. Data were collected in 2026 and cleaned in IBM SPSS prior to analysis.

Population: Adults aged 18 or older residing in Louisiana (valid Louisiana zip code required), English-speaking, recruited through the Dynata online research panel
N: 586 (final analytic sample after removal of 255 incomplete, duplicate, ineligible, or low-quality entries from an initial dataset of 841)
Variables: Three primary composite outcomes (acceptance, trust, self-efficacy; 4, 4, and 7 items respectively, scored 1–5); 10 demographic and background predictors; chronic condition and medication/device familiarity items; paired self-efficacy ratings (telecommunicator-guided vs. independent; family/friend vs. stranger recipient); two open-ended qualitative response fields
Geographic scope: Louisiana, United States
Temporal scope: 2026 (single cross-sectional timepoint)
IRB: Tulane University Social-Behavioral IRB, Ref. 2025-936, exempt determination