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Record W4412632658 · doi:10.1016/j.chiabu.2025.107600

Effectiveness of Nurse-Family Partnership on child outcomes by patterns of program intensity: Secondary evidence from a randomized controlled trial (British Columbia Healthy Connections Project)

2025· review· en· W4412632658 on OpenAlexafffundabout
Nicole Catherine, Yufei Zheng, Hui Xie, Michael Boyle, Susan M. Jack, Harriet L. MacMillan, Charlotte Waddell

Bibliographic record

VenueChild Abuse & Neglect · 2025
Typereview
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsMcMaster University Medical CentreMcMaster UniversityResearch CanadaArthritis Research Centre of CanadaSimon Fraser University
FundersMinistry of Health, British ColumbiaCanada Research Chairs
KeywordsRandomized controlled trialGeneral partnershipPoison controlSuicide preventionNursingMedicineEvidence-based practicePsychologyProgram evaluationFamily medicineAlternative medicineMedical emergencyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Nurse-Family Partnership's (NFP's) effectiveness at improving child outcomes is likely influenced by patterns of program provision and engagement, or 'intensity'. OBJECTIVE: To investigate program effectiveness by patterns of intensity. PARTICIPANTS AND SETTING: We analyzed secondary data from the Canadian NFP randomized controlled trial (RCT) involving 739 maternal participants and their 737 children in British Columbia. METHODS: Participants were randomly allocated 1:1 to NFP and existing services (n = 368) or existing services (n = 371). We collected data on child injuries, language, cognition and problem behavior (mental health) at age two years (by November 2019). We estimated principal causal effects (PCE) using propensity score (PS) methods. RESULTS: We identified three NFP intensity patterns: Low (median [Mdn] 14 visits), Partial (Mdn 52) and Sustained (Mdn 83). For NFP participants, we found statistically-significant differences in group mean scores (mean M [SD]): for Sustained on observed language (NFP 94.55 [16.71] versus PS-matched controls 89.97 [16.76]; PCE = 5.8, 95 % CI 0.57, 11.03, p = 0.030) and problem behavior (NFP 51.33 [9.04] versus PS-matched controls 56.43 [9.38]; PCE = -5.10, 95 % CI -8.27, -1.93, p = 0.002); and for Partial on maternal-reported language (NFP 313.43 [200.36]) versus PS-matched controls (255.99 [183.56]; PCE = 65.05, 95 % CI 24.09, 106.00, p = 0.013). CONCLUSIONS: Delivering NFP as intended, with sustained intensity, led to greater benefits regarding child language and problem behavior (mental health) but not cognition or injuries by age two years. These complementary analyses provide crucial information, beyond standard RCT analyses, on NFP's effectiveness in this Canadian cohort. Our results highlight the importance of ensuring full NFP intensity to maximize program benefits for children.

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)0.011
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.880
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.332
Teacher spread0.307 · 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 designObservational
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

Citations1
Published2025
Admission routes3
Has abstractyes

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