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Record W3166115332 · doi:10.1101/2021.06.09.21258458

Participatory research in health intervention studies involving migrants: a systematic review

2021· review· en· W3166115332 on OpenAlexaff
Kieran Rustage, Alison F Crawshaw, Saliha Majeed‐Hajaj, Anna Deal, Laura B Nellums, Yusuf Ciftci, Sebastian Fuller, Lucy Goldsmith, Jon S. Friedland, Sally Hargreaves

Bibliographic record

VenuemedRxiv · 2021
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsParticipatory action researchCitizen journalismStakeholderProxy (statistics)Psychological interventionData extractionResearch designSystematic reviewPolitical sciencePsychologyMEDLINEPublic relationsSociologyMedicineSocial scienceNursingComputer science

Abstract

fetched live from OpenAlex

Abstract Objective To analyse the use of participatory approaches in research of health interventions for migrants, and how utilised approaches embody core participatory principles of democracy and power-distribution. Design A systematic review of original articles. Electronic searchers were carried out in the databases MEDLINE, Embase, Global Health and PsychINFO (from inception – Nov 2020). Eligibility criteria for study selection The analysis included original peer-reviewed research which reported on attempts to develop and implement a health intervention for migrants using participatory approaches. We defined migrants as foreign-born individuals; studies using definitions demonstrably outside of this were excluded. Only articles reporting the full research cycle (inception, design, implementation, analysis, evaluation, dissemination) were included. Data extraction Information related to who was involved in research (migrants or other non-academic stakeholders), the research stage at which they were involved (inception, design, implementation, analysis, evaluation, dissemination), and how this involvement aligned with the core principles of participatory research – categorising studies as exhibiting active, pseudo, or indirect participation of migrants. Results 1793 publication were screened of which 28 were included in our analysis. We found substantial variation in the application of participatory research approaches: across 168 individual research stages analysed across the 28 studies, we recorded 46 instances of active participation of migrants; 30 instances of proxy participation; and 24 instances of indirect participation. Whilst all studies involved at least one non-academic stakeholder group in at least one stage of the research, just two studies exhibited evidence of active participation of migrants across all research stages. Conclusions These data highlight important shortfalls in the inclusion of migrant groups in developing health interventions that affect their lives and suggest a more rigorous and standardised approach to defining and delivering participatory research is urgently needed to improve the quality of participatory research. Registration This review followed PRISMA guidelines and is registered on the Open Science Framework (osf.io/2bnz5) Strengths and Limitations This systematic review represents a robust and novel assessment of the applications of participatory approaches and principles to health intervention research with migrants. This review casts a critical lens over the application and outcomes of participatory approaches, conceptually focusing on the relationship between the methods used and the populations involved, and how this all relates to participatory principles. This review is limited by the varied and interchangeable use of participatory research terms within this field. The categorisations and terms we introduce may therefore be defined differently by others. This review is limited by the lack of clear and consistent reporting of participatory methods utilised; guidelines must be prepared and consistently adopted to improve transparency in all participatory research. This does not analyse or consider associations between participatory methods, and health or research outcomes; future research to understand any such associations is needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.159
metaresearch head score (Gemma)0.268
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.159
Threshold uncertainty score0.839

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1590.268
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0120.010
Bibliometrics0.0170.018
Science and technology studies0.0030.005
Scholarly communication0.0070.009
Open science0.0030.006
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.592
GPT teacher head0.599
Teacher spread0.007 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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