Evidence map›Paper›PMID 38858153›Full record

ArticleBMJ open2024

Expert consensus on a protocol for conducting bibliometric analysis of scientific articles on global migration health (GMH).

Sweetmavourneen Pernitez-Agan, Mary Ann Cruz Bautista, Janice Lopez, Margaret Sampson, Anuj Kapilashrami, Melissa Garabiles, Charles Hui, Bontha Babu, Roomi Aziz, Lucy P Jordan and 4 more

Abstract readConsensus Statement
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Sweetmavourneen Pernitez-AganMigration Health Division, International Organization for Migration, Makati City, Philippines.ORCID 0000-0003-0494-5557
Mary Ann Cruz BautistaMigration Health Division, International Organization for Migration, Makati City, Philippines.ORCID 0000-0001-9062-9520
Janice LopezMigration Health Division, International Organization for Migration, Makati City, Philippines.
Margaret SampsonChildren's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
Anuj KapilashramiUniversity of Essex School of Health and Social Care, Colchester, UK.
Melissa GarabilesDepartment of Psychology, De La Salle University, Manila, Philippines.
Charles HuiUniversity of Ottawa, Ottawa, Ontario, Canada.
Bontha BabuHealth Systems and Implementation Research Division, Indian Council of Medical Research, New Delhi, India.
Roomi AzizUniversity of Essex, Colchester, UK.
Lucy P JordanDepartment of Social Work and Social Administration, The University of Hong Kong Faculty of Social Sciences, Hong Kong.
Teddy Rowell U MondresInternational Health Program, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
May Antonnette LebananMigration Health Division, International Organization for Migration, Makati City, Philippines.
Kolitha WickramageUN Migration Agency, International Organization for Migration, Global Data Institute, Berlin, Germany kwickramage@iom.int.
Manila Consensus Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigration and health are key priorities in global health and essential for protecting and promoting the health of migrants. To better understand the existing evidence on migration health, it is critical to map the research publication activity and evidence on the health of migrants and mobile populations. This paper presents a search strategy protocol for a bibliometric analysis of scientific articles on global migration health (GMH), leveraging the expertise of a global network of researchers and academics. The protocol aims to facilitate the mapping of research and evidence on the health of international migrants and their families, including studies on human mobility across international borders.

methodsA systematic search strategy using Scopus will be developed to map scientific articles on GMH. The search strategy will build upon a previous bibliometric study and will have two main search components: (1) 'international migrant population', covering specific movements across international borders, and (2) 'health'. The final search strategy will be implemented to determine the final set of articles to be screened for the bibliometric analysis. Title and abstract screening will exclude irrelevant articles and classify the relevant articles according to predefined themes and subthemes. A combination of the following approaches will be used in screening: applying full automation (ie, DistillerSR's machine learning tool) and/or semiautomation (ie, EndNote, MS Excel) tools, and manual screening. The relevant articles will be analysed using MS Excel, Biblioshiny and VOSviewer, which creates a visual mapping of the research publication activity around GMH. This protocol is developed in collaboration with academic researchers and policymakers from the Global South, and a network of migration health and research experts, with guidance from a bibliometrics expert. ETHICS AND DISSEMINATION: The protocol will use publicly available data and will not directly involve human participants; an ethics review will not be required. The findings from the bibliometric analysis (and other research that can potentially arise from the protocol) will be disseminated through academic publications, conferences and collaboration with relevant stakeholders to inform policies and interventions aimed at improving the health of international migrants and their families.

Indexed as

BibliometricsGlobal HealthTransients and MigrantsConsensusHumansResearch DesignHealth policyInternational health servicesPUBLIC HEALTH

Identifiers

PMID38858153
PMCPMC11168169

What OpenQuestion holds

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LicenceCC BY-NC
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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.