Evidence map›Paper›PMID 41052127›Full record

ArticlePloS one2025

Drone-based medication delivery for rural, flood-prone coastal communities.

Yin-Hsuen Chen, Amro M El-Adle, Kevin J O'Brien, Taylor Wentworth, Heather G Richter

Abstract read
In one paragraph

Article in PloS one, 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. Review
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

5 authors.

Yin-Hsuen ChenCenter for Geospatial Science, Education, and Analytics, Division of Digital Transformation & Technology, Old Dominion University.ORCID https://orcid.org/0000-0003-4809-5718
Amro M El-AdleDepartment of Information Technology and Decision Sciences, Strome College of Business, Old Dominion University.ORCID https://orcid.org/0000-0002-8492-5267
Kevin J O'BrienVirginia Modeling Analysis & Simulation Center, Office of Enterprise Research and Innovation, Old Dominion University.
Taylor WentworthDepartment of Mathematics and Statistics, Old Dominion University.
Heather G RichterJoint School of Public Health, Mason and Joan Brock Virginia Health Sciences at Old Dominion University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to healthcare remains a critical challenge for rural populations, particularly in flood-prone coastal communities where transportation barriers limit access to essential medical services. This study evaluates the effectiveness of drone-based medication delivery in improving healthcare accessibility for vulnerable populations on Virginia's Eastern Shore. Compared to traditional personal vehicle travel, drone delivery reduced trip times from up to 50 minutes to under 10 minutes for more than 80% of the population, including elderly patients. Using publicly available datasets, we developed two transportation vulnerability indices that incorporate age, travel time, and flood risk to prioritize patients for drone-based pharmaceutical delivery. These indices were examined using Getis-Ord Gi* spatial analysis, which identified statistically significant clusters of high-need patients, particularly around the northernmost drone station. The results reveal that elderly residents in remote, low-lying areas are especially vulnerable to missed prescriptions due to both transportation barriers and flooding. Our approach demonstrates how drone delivery can reduce healthcare access disparities while offering a scalable and resilient framework for other medically underserved regions, especially under time or resource constraints.

Indexed as

Health Services AccessibilityPharmaceutical ServicesRural Health ServicesTransportationUnmanned Aerial DevicesAdultAgedFloodsHumansMiddle AgedRural PopulationSpatial AnalysisTime FactorsVirginiaYoung Adult

Identifiers

PMID41052127
PMCPMC12500137

What OpenQuestion holds

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LicenceCC BY
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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.