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Record W4408393119 · doi:10.22605/rrh8894

Factors that promote success in a maternal-child program serving Indigenous families: a community-based participatory research project in Northern Saskatchewan, Canada

2025· article· en· W4408393119 on OpenAlexafffundabout
Charlene Thompson, Angela Bowen, Rebecca L. Clark

Bibliographic record

VenueRural and Remote Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsNorthern Teacher Education ProgramUniversity of Saskatchewan
FundersCanadian Institutes of Health ResearchCollege of Nursing, University of Saskatchewan
KeywordsIndigenousParticipatory action researchCommunity-based participatory researchCitizen journalismEconomic growthPolitical scienceMedicine

Abstract

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INTRODUCTION: Despite investment in maternal-child health programs, there has been little impact on the health outcomes of Indigenous mothers and their children, creating a need to understand how programs can be successfully implemented. Community input is essential for successful programs; however, there is little research exploring the perspectives of frontline workers providing these programs. To gain a better understanding of how to support maternal-child health program success a research partnership was formed with the KidsFirst North program in Northern Saskatchewan, Canada. Using a community-based participatory research approach, this study was codeveloped to (1) explore families', frontline workers', and administrators' perceptions of factors that contribute to the success and barriers of a program for Indigenous families; and (2) describe the current role of frontline workers within health program planning, implementation, and evaluation. METHODS: From September 2019 to January 2020, data were collected through in-person meetings, focus groups, and semi-structured interviews with KidsFirst North families (n=9), frontline workers (n=18), and administrators (n=7) from 11 sites in Northern Saskatchewan. Data were analyzed using the Collective Consensual Data Analytic Procedure. RESULTS: The identified factors of program success included the importance of staff, where staff demonstrated certain positive characteristics and created a welcoming atmosphere for families; community events that were open to the entire community; and the integration of Indigenous culture in the program. Program barriers included jurisdictional policy that negatively impacted frontline workers, a lack of father inclusion in program activities, and community challenges such as a lack of access to other services within the community. All frontline workers had a role in program delivery, most reported involvement in program development and planning, and approximately half were included in program evaluation. CONCLUSION: Factors of success and barriers from the KidsFirst North project have illustrated elements to build on and areas to address in public health program planning, implementation, and evaluation of maternal-child health programs that serve Indigenous families. KidsFirst North has demonstrated ways a contemporary maternal-child health program can utilize frontline workers outside of program delivery to influence all aspects of health program planning, implementation, and evaluation. Contributing to the evidence base of maternal-child health programs for Indigenous families may help foster the success of public health programs; inform the role of frontline workers in health program planning, implementation, and evaluation; and positively impact the health of Indigenous children and families.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.085
GPT teacher head0.397
Teacher spread0.312 · 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 teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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 routes3
Has abstractyes

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