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Record W4417296777 · doi:10.1093/pch/pxaf116.043

43 Methods for engaging vulnerable and marginalized children through community based participatory research: A scoping review

2025· article· en· W4417296777 on OpenAlexaff
H. Wagman, Victor Do, Nahid Iseyas, Zuhal Mohmand, Megan Watson

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsQueen's UniversityUniversity of AlbertaUniversity of TorontoSickKids FoundationStollery Children's HospitalHospital for Sick Children
Fundersnot available
KeywordsParticipatory action researchCommunity-based participatory researchThematic analysisInclusion (mineral)Focus groupGrey literatureCitizen journalismEthnic group

Abstract

fetched live from OpenAlex

Abstract Background Community-based participatory research (CBPR) involves meaningful partnerships between researchers and community members. Effective CBPR practices create trust and enhance culture-centeredness of research. There are wide variations in how researchers have characterized CBPR and there is a literature gap in best practices for effectively engaging marginalized children in participatory research. It is critical that CBPR is not merely another method that primarily engages the privileged. Objectives To examine studies where researchers have used CBPR to engage vulnerable and marginalized paediatric populations, with the aim of understanding the specific methodologies utilized and determine best practices for CBPR with these populations. Design/Methods We conducted a scoping review using methods described by Arksey and O'Malley, and used PRISMA extension guidelines for scoping reviews in our process and reportings. We conducted a literature search, including grey literature, with the support of a librarian. Two team members reviewed each article during the title and abstract and full text screenings with conflicts resolved through group consensus discussions. We included English-language articles involving marginalized paediatric populations that thoroughly described their methods and focused on health. We collected information on study demographics, methodologies, and outcomes and used descriptive analysis and statistics, as well as thematic synthesis to explore patterns. Results The initial literature search identified 6240 studies, from which 44 articles met inclusion criteria for a full-text review. The articles primarily identified racial and ethnic minorities as vulnerable and marginalized populations to focus on. Few articles strategically considered an intersectional approach to defining the population of interest or in identifying the optimal method for engagement. The majority of studies were conducted in the United States and had been published in the last 20 years. The most commonly used methods of engagement included community partnerships, focus groups, interviews, advisory boards, and electronic participatory methods with little consistency in how these methods were employed and defined. There was a lack of evaluation data on the effectiveness of CBPR methods employed. Significant challenges and barriers to CBPR with marginalized populations were identified including difficulty building trusting relationships and financial and time limitations. Conclusion Our scoping review found gaps and lack of standardization in CBPR methods engaging marginalized paediatric populations. This can inform future research efforts and help to establish an evidenced-based framework for effective engagement for empowering and actively involving marginalized paediatric communities in CBPR.

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)0.115
metaresearch head score (Gemma)0.233
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.885
Threshold uncertainty score0.606

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1150.233
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0050.007
Bibliometrics0.0390.030
Science and technology studies0.0060.006
Scholarly communication0.0140.014
Open science0.0050.011
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0070.002

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 head0.801
GPT teacher head0.733
Teacher spread0.068 · 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.

Study designSystematic review
DomainMethods
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

Citations0
Published2025
Admission routes1
Has abstractyes

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