Evidence map›Paper›PMID 37984898›Full record

ArticleBMJ global health2023

Improving early infant diagnosis for HIV-exposed infants using unmanned aerial vehicles for blood sample transportation in Conakry, Guinea: a comparative cost-effectiveness analysis.

Maxime Inghels, Paul Mee, Oumou Hawa Diallo, Mohamed Cissé, David Nelson, Frank Tanser, Zahid Asghar, Youssouf Koita, Gabrièle Laborde-Balen, Guillaume Breton

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Maxime InghelsLincoln International Institute for Rural Health, University of Lincoln, Lincoln, UK MInghels@lincoln.ac.uk.ORCID 0000-0002-9340-2054
Paul MeeLincoln International Institute for Rural Health, University of Lincoln, Lincoln, UK.
Oumou Hawa DialloSolthis, Conakry, Guinea.
Mohamed CisséService de Dermatologie, Centre de Traitement Ambulatoire, Laboratoire de Biologie Moléculaire, CHU Donka, Conakry, Guinea.
David NelsonLincoln International Institute for Rural Health, University of Lincoln, Lincoln, UK.
Frank TanserCentre for Epidemic Response and Innovation, School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Zahid AsgharSchool of Health and Social Care, University of Lincoln, Lincoln, UK.
Youssouf KoitaProgramme National de Lutte contre le VIH SIDA et les Hépatites (PNLSH), Conakry, Guinea.
Gabrièle Laborde-BalenTransVIHMI, University of Montpellier, INSERM, Institut de Recherche pour le Développement, Montpellier, France.
Guillaume BretonSolthis, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly infant diagnosis (EID) for HIV-exposed infants is essential due to high mortality during the first months of their lives. In Conakry (Guinea), timely EID is difficult as traffic congestion prevents the rapid transport of blood samples to the central laboratory. We investigated the cost-effectiveness of transporting EID blood samples by unmanned aerial vehicles (UAV), also known as drones. METHODS AND

findingsUsing Monte Carlo simulations, we conducted a cost-effectiveness comparative analysis between EID blood samples transportation by on-demand UAV transportation versus the baseline scenario (ie, van with irregular collection schedules) and compared with a hypothetic on-demand motorcycle transportation system. Incremental cost-effectiveness ratio (ICER) per life-year gained was computed. Simulation models included parameters such as consultation timing (eg, time of arrival), motorcycle and UAV characteristics, weather and traffic conditions. Over the 5-year period programme, the UAV and motorcycle strategies were able to save a cumulative additional 834.8 life-years (585.1-1084.5) and 794.7 life-years (550.3-1039.0), respectively, compared with the baseline scenario. The ICER per life-year gained found were US$535 for the UAV strategy versus baseline scenario, US$504 for the motorcycle strategy versus baseline scenario and US$1137 per additional life-year gained for the UAV versus motorcycle strategy. Respectively, those ICERs represented 44.8%, 42.2% and 95.2% of the national gross domestic product (GDP) per capita in Guinea-that is, US$1194.

conclusionCompared with the baseline strategy, both transportation of EID blood samples by UAVs or motorcycles had a cost per additional life-year gained below half of the national GDP per capita and could be seen as cost-effective in Conakry. A UAV strategy can save more lives than a motorcycle one although the cost needed per additional life-year gained might need to consider alongside budget impact and feasibility considerations.

Indexed as

HIV InfectionsUnmanned Aerial DevicesCost-Benefit AnalysisCost-Effectiveness AnalysisGuineaHumansInfantPublic HealthHealth economicsHIVPaediatricsPublic HealthScreening

Identifiers

PMID37984898
PMCPMC10660963

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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.