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Record W4402460764 · doi:10.1016/j.lana.2024.100886

Impact of being taken into out-of-home care: a longitudinal cohort study of First Nations and other child welfare agencies in Manitoba, Canada

2024· article· en· W4402460764 on OpenAlexafffundabout
Marni Brownell, Nathan Nickel, Kayla Frank, Lisa Flaten, Scott E. Sinclair, Stephanie Sinclair, Nora Murdock, Jennifer Enns, Jamie Pfau, Anita Durksen, Colette Scatliff, Heather J. Prior, Randy Walld, Lorna Turnbull, Karine Levasseur, Teresa Mayer, Jennifer Chartrand, Chris Nash, Elizabeth Decaire, Hygiea Casiano, Marlyn Bennett, Hera J M Casidsid, Mikayla Hunter, Hannah Owczar, Emily Brownell, Thérèse A. Stukel

Bibliographic record

VenueThe Lancet Regional Health - Americas · 2024
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsInstitute for Clinical Evaluative SciencesUniversity of TorontoFirst Nations Health and Social Secretariat of ManitobaAssembly of First NationsGovernment of ManitobaUniversity of ManitobaManitoba Health
FundersSocial Sciences and Humanities Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsWelfareLongitudinal studyCohortEconomic growthCohort studyPolitical scienceGerontologyMedicineSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

Background: Across Canada, Child Protection Services (CPS) disrupt Indigenous families by apprehending their children at alarmingly high rates. The harms borne by children in out-of-home care (OoHC) have been extensively documented. We examined the impact of OoHC on Manitoba children's health and legal system outcomes to provide rigorous evidence on how discretionary decision-making by CPS agencies can affect these outcomes. Methods: In partnership with First Nations researchers, we used linked administrative data to identify Manitoba children (born 2007-2018) served by First Nations and other Manitoba CPS agencies. We compared those taken into OoHC (n = 19,324) with those never in care but with an open CPS file due to child protection concerns (n = 27,290). We used instrumental variable analysis (CPS agency rates of OoHC as the instrument) to obtain odds ratios (aOR) and 95% confidence intervals adjusted for child, maternal, and family factors. Findings: Mean age (yrs ± standard deviation) at first CPS contact for children taken into OoHC was 2.8 ± 3.7 (First Nations) and 3.0 ± 3.8 (other), and for children never in care was 4.5 ± 4.5 (First Nations) and 5.1 ± 4.7 (other). Among children served by a First Nations agency, males made up 50.6% (n = 5496) in OoHC and 51.0% (n = 6579) never in care. Among children served by other agencies, males made up 51.0% (n = 4324) in OoHC and 51.0% (n = 7428) never in care. Odds of teen pregnancy (First Nations aOR 3.69, 1.40-9.77; other aOR 5.10, 1.83-14.25), teen birth (First Nations aOR 3.23, 1.10-9.49; other aOR 5.06, 1.70-15.03), and sexually transmitted infections (other aOR 7.21, 3.63-14.32) were higher for children in care than children never in care, as were odds of being accused (other aOR 2.71, 1.27-5.75), a victim (other aOR 1.68, 1.10-2.56), charged with a crime (other aOR 2.68, 1.21-5.96), or incarcerated (First Nations aOR 3.64, 1.95-6.80; other aOR 1.19, 1.19-8.04). Interpretation: Being in OoHC worsened children's health and legal system outcomes. The importance of reducing the number of children taken into care was emphasized in briefings to provincial and First Nations governments. The government response will be monitored. Funding: Social Sciences and Humanities Research Council (no. 890-2018-0029).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.070
GPT teacher head0.368
Teacher spread0.299 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2024
Admission routes3
Has abstractyes

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