ArticleJournal of global health2022
Blockchain technology in migrant and refugee health: A scoping review.
Article in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Digital solutions for migrant and refugee health: a framework for analysis and action.The Lancet regional health. Europe · 2025Review
- AI in humanitarian healthcare: a game changer for crisis response.Frontiers in artificial intelligence · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The increase of forcibly displaced people worldwide is a challenge for health systems and their ability to provide access and equity in Health as a universal right. In the case of migrants and refugees, their journey exacerbates this challenge, as they go through diverse countries, camps, and humanitarian teams. Hence, the collection and analysis of health data are essential in providing quality care. The scientific community has been studying health digital technologies to answer health data consolidation, transparency, and global surveillance efficiency issues. Observing some empirical experiments with Blockchain in migrants and refugee health, we assessed the state-of-the-art by conducting a literature review. Methods: Blockchain applications are still emerging, which means that peer-reviewed literature may still be scarce in life science databases. Therefore, to gather the most appropriate available evidence, we used a diverse and balanced set of databases that compile articles and journals from different fields. We used a multi-step scoping review to refine search keywords and analyse the literature. We included studies between 2008 and 2021 that reported value, utility, or use cases of Blockchain in support of migrant and refugee health. Results: We identified a total of 69 articles, with 22 retained for full-text analysis and 8 of those being relevant. We employed Rayyan application to manage and evaluate the references by two researchers working independently. We identified two main uses of Blockchain technology to support migrant and refugee health: mitigate the lack of personal identification and make health records available. Blockchain also promotes data reliability in humanitarian aid, academic certificates, legal contracts, and financial transactions. Conclusions: The availability of reliable information about individuals facilitates universal health coverage, improves cooperation between diaspora-related countries, and supports global health efficiency in line with the third goal of the Sustainable Development Goals 2030 agenda. Given its characteristics of decentralization, resilience, transparency, and auditability, Blockchain remains a promising avenue for future research in migrant and refugee health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.