Evidence map›Paper›PMID 40018596›Full record

ArticleBMJ public health2024

Drone-based medical delivery in the extreme conditions of Himalayan region: a feasibility study.

Sumit Aggarwal, Kuldeep Nigam, Vikram Singh, Tanuja Mishra, Ashok Kumar Pandey, Rajni Kant, Manoj Murhekar

Abstract read
In one paragraph

Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

7 authors.

Sumit AggarwalIndian Council of Medical Research, New Delhi, India.ORCID 0000-0002-0652-1611
Kuldeep NigamIndian Council of Medical Research, New Delhi, India.ORCID 0000-0003-3113-8857
Vikram SinghIndian Council of Medical Research, New Delhi, India.
Tanuja MishraICMR, Regional Medical Research Center, Lahaul and Spiti, Himachal Pradesh, India.
Ashok Kumar PandeyICMR - Regional Medical Research Centre, Gorakhpur, Uttar Pradesh, India.ORCID 0009-0008-8863-3430
Rajni KantICMR - Regional Medical Research Centre, Gorakhpur, Uttar Pradesh, India.ORCID 0000-0001-8127-8140
Manoj MurhekarICMR - National Institute of Epidemiology, Chennai, Tamil Nadu, India.ORCID 0000-0002-1720-7628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Unmanned aerial vehicles, or drones, have emerged as versatile tools across various sectors, including defence, agriculture, surveillance, mining, infrastructure, emergency response, transportation, geospatial mapping and notably medical supply delivery to challenging terrains. This study aims to investigate the feasibility of using drones for delivering essential medical supplies in Keylong, Himachal Pradesh, situated amidst the Middle Himalayan Range, where heavy snowfall during peak winter restricts access to remote regions, posing logistical hurdles for healthcare provision. Methods: This cross-sectional used a mixed-method approach alongside assessing the drone-based medical delivery. Insights from healthcare workers were documented on sociodemographic characteristics, local healthcare facilities and challenges encountered during drone operations. Results: A total of 15 sorties were conducted, efficiently transporting 1000 units of medicines and 20 clinical samples. Throughout the drone operation, various technological and health-related challenges were encountered due to the high altitude and the cold weather conditions. Additionally, it has been observed that drones could play a pivotal role in supplementing traditional medical supplies. Particularly, the transportation of the medical supplies in emergency situations and delivery of diagnostic samples from peripheral villages. Conclusion: The study observed that drones present a viable solution for enhancing healthcare accessibility in hard-to-reach regions, particularly for expeditiously delivering diagnostic samples and essential medications during emergencies. The findings underscore the potential of drones to complement existing healthcare systems, providing an efficient means to address logistical challenges in remote areas.

Indexed as

EmergenciesPublic HealthTranslational Science, Biomedical

Identifiers

PMID40018596
PMCPMC11816105

What OpenQuestion holds

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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.