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      Ethical considerations related to drone use for environment and health research: A scoping review protocol

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          Abstract

          Introduction

          The use of drones in environment and health research is a relatively new phenomenon. A principal research activity drones are used for is environmental monitoring, which can raise concerns in local communities. Existing ethical guidance for researchers is often not specific to drone technology and practices vary between research settings. Therefore, this scoping review aims to gather the evidence available on ethical considerations surrounding drone use as perceived by local communities, ethical considerations reported on by researchers implementing drone research, and published ethical guidance related to drone deployment.

          Methods and analysis

          This scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) and the Joanna Briggs Institute (JBI) guidelines. The literature search will be conducted using academic databases and grey literature sources. After pilot testing the inclusion criteria and data extraction tool, two researchers will double-screen and then chart available evidence independently. A content analysis will be carried out to identify patterns of categories or terms used to describe ethical considerations related to drone usage for environmental monitoring in the literature using the R Package RQDA. Discrepancies in any phase of the project will be solved through consensus between the two reviewers. If consensus cannot be reached, a third arbitrator will be consulted.

          Ethics and dissemination

          Ethical approval is not required; only secondary data will be used. This protocol is registered on the Open Science Framework ( osf.io/a78et). The results will be disseminated through publication in a scientific journal and will be used to inform drone field campaigns in the Wellcome Trust funded HARMONIZE project. HARMONIZE aims to develop cost-effective and reproducible digital infrastructure for stakeholders in climate change hotspots in Latin America & the Caribbean and will use drone technology to collect data on fine scale landscape changes.

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          Most cited references15

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          PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation

          Scoping reviews, a type of knowledge synthesis, follow a systematic approach to map evidence on a topic and identify main concepts, theories, sources, and knowledge gaps. Although more scoping reviews are being done, their methodological and reporting quality need improvement. This document presents the PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) checklist and explanation. The checklist was developed by a 24-member expert panel and 2 research leads following published guidance from the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) Network. The final checklist contains 20 essential reporting items and 2 optional items. The authors provide a rationale and an example of good reporting for each item. The intent of the PRISMA-ScR is to help readers (including researchers, publishers, commissioners, policymakers, health care providers, guideline developers, and patients or consumers) develop a greater understanding of relevant terminology, core concepts, and key items to report for scoping reviews.
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            Rayyan—a web and mobile app for systematic reviews

            Background Synthesis of multiple randomized controlled trials (RCTs) in a systematic review can summarize the effects of individual outcomes and provide numerical answers about the effectiveness of interventions. Filtering of searches is time consuming, and no single method fulfills the principal requirements of speed with accuracy. Automation of systematic reviews is driven by a necessity to expedite the availability of current best evidence for policy and clinical decision-making. We developed Rayyan (http://rayyan.qcri.org), a free web and mobile app, that helps expedite the initial screening of abstracts and titles using a process of semi-automation while incorporating a high level of usability. For the beta testing phase, we used two published Cochrane reviews in which included studies had been selected manually. Their searches, with 1030 records and 273 records, were uploaded to Rayyan. Different features of Rayyan were tested using these two reviews. We also conducted a survey of Rayyan’s users and collected feedback through a built-in feature. Results Pilot testing of Rayyan focused on usability, accuracy against manual methods, and the added value of the prediction feature. The “taster” review (273 records) allowed a quick overview of Rayyan for early comments on usability. The second review (1030 records) required several iterations to identify the previously identified 11 trials. The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. Post rollout user experiences and a reflexive response by the developers enabled real-time modifications and improvements. The survey respondents reported 40% average time savings when using Rayyan compared to others tools, with 34% of the respondents reporting more than 50% time savings. In addition, around 75% of the respondents mentioned that screening and labeling studies as well as collaborating on reviews to be the two most important features of Rayyan. As of November 2016, Rayyan users exceed 2000 from over 60 countries conducting hundreds of reviews totaling more than 1.6M citations. Feedback from users, obtained mostly through the app web site and a recent survey, has highlighted the ease in exploration of searches, the time saved, and simplicity in sharing and comparing include-exclude decisions. The strongest features of the app, identified and reported in user feedback, were its ability to help in screening and collaboration as well as the time savings it affords to users. Conclusions Rayyan is responsive and intuitive in use with significant potential to lighten the load of reviewers.
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              PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement.

              To develop an evidence-based guideline for Peer Review of Electronic Search Strategies (PRESS) for systematic reviews (SRs), health technology assessments, and other evidence syntheses.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: MethodologyRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: MethodologyRole: Writing – original draft
                Role: MethodologyRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Methodology
                Role: Methodology
                Role: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                31 January 2024
                2024
                : 19
                : 1
                : e0287270
                Affiliations
                [1 ] Barcelona Supercomputing Center (BSC), Barcelona, Spain
                [2 ] Liverpool School of Tropical Medicine (LSTM), Liverpool, United Kingdom
                [3 ] Programa de Pós-Graduação em Saúde Pública, Escola Nacional de Saúde Pública Sergio Arouca (ENSP), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil
                [4 ] Programa Institucional Territórios Sustentáveis e Saudáveis (PITSS), Vice-Presidência de Ambiente, Atenção e Promoção da Saúde (VPAAPS), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil
                [5 ] National Institute for Space Research (INPE), Laboratory for Investigation in Socio-Environmental Systems (LiSS), São José dos Campos, Brazil
                [6 ] Instituto de Comunicação e Informação Científica e Tecnológica em Saúde/Fiocruz (Icict/Fiocuz), Rio de Janeiro, Brazil
                [7 ] Grupo en Biologia Matematica y Computacional, Departamento de Ciencias Biologicas, Universidad de los Andes, Bogota, Colombia
                [8 ] Health Innovation Laboratory, Institute of Tropical Medicine “Alexander von Humboldt”, Universidad Peruana Cayetano Heredia, Lima, Peru
                [9 ] Programa de Computação Científica, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil
                [10 ] Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
                [11 ] Centre on Climate Change & Planetary Health and Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
                Sunway University, MALAYSIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-6926-4747
                https://orcid.org/0009-0007-3090-7331
                https://orcid.org/0000-0003-3939-7343
                Article
                PONE-D-23-15407
                10.1371/journal.pone.0287270
                10829986
                38295017
                2f2c535e-af0c-477a-b2e8-45d2ca39e0e3
                © 2024 Hoek Spaans et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 June 2023
                : 14 December 2023
                Page count
                Figures: 1, Tables: 4, Pages: 10
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100010269, Wellcome Trust;
                Award ID: 224694/Z/21/Z
                Award Recipient :
                RL is the principal investigator of the Wellcome Trust ( https://wellcome.org/) funded HARMONIZE project. The project award reference is 224694/Z/21/Z. The funders had no role in the study design.
                Categories
                Study Protocol
                Science Policy
                Research Integrity
                Research Ethics
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Biology and Life Sciences
                Bioethics
                Science Policy
                Bioethics
                Medicine and Health Sciences
                Health Care
                Environmental Health
                Medicine and Health Sciences
                Public and Occupational Health
                Environmental Health
                Research and Analysis Methods
                Research Design
                Qualitative Studies
                Science Policy
                Research Integrity
                Publication Ethics
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews
                Research and Analysis Methods
                Research Assessment
                Research Reporting Guidelines
                Custom metadata
                No datasets were generated or analysed during the current study. All relevant data from this study will be made available upon study completion.

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