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Record W2120006972 · doi:10.1136/ebn.8.3.75

Home visits by paraprofessionals improved maternal mental health and mother-child interaction 2 years after visits ended

2005· letter· en· W2120006972 on OpenAlexaff
Betsy Thomas

Bibliographic record

VenueEvidence-Based Nursing · 2005
Typeletter
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsMedicineIMGPediatricsBlindingReferralFamily medicineRandomized controlled trialInternal medicine

Abstract

fetched live from OpenAlex

Olds DL, Robinson J, Pettitt L, et al . Effects of home visits by paraprofessionals and by nurses: age 4 follow-up results of a randomized trial. Pediatrics 2004;114:1560–8.[OpenUrl][1][Abstract/FREE Full Text][2] Q Two years after completion of a home visiting intervention, do the improvements in maternal and child health expected from paraprofessional (lay visitors/peer support or community workers) home visits emerge? Do the benefits attributed to home visits from professional nurses endure? ### ![Graphic][3] Design: randomised controlled trial. ### ![Graphic][4] Allocation: concealed. ### ![Graphic][5] Blinding: blinded (data collectors). ### ![Graphic][6] Follow up period: 2 years of intervention followed up by a 2 year observational period. ### ![Graphic][7] Setting: Denver, Colorado, USA. ### ![Graphic][8] Participants: 735 pregnant women (mean age 20 y) who had no previous live births and either qualified for Medicaid or had no health insurance. ### ![Graphic][9] Intervention: Prenatal and postpartum paraprofessional home visits (PHV) (n = 245), nurse home visits (NHV) (n = 235), or a control condition (n = 255) until the child was 2 years of age. All participants received developmental screening and referral services … [1]: {openurl}?query=rft.jtitle%253DPediatrics%26rft.stitle%253DPediatrics%26rft.aulast%253DOlds%26rft.auinit1%253DD.%2BL.%26rft.volume%253D114%26rft.issue%253D6%26rft.spage%253D1560%26rft.epage%253D1568%26rft.atitle%253DEffects%2Bof%2BHome%2BVisits%2Bby%2BParaprofessionals%2Band%2Bby%2BNurses%253A%2BAge%2B4%2BFollow-Up%2BResults%2Bof%2Ba%2BRandomized%2BTrial%26rft_id%253Dinfo%253Adoi%252F10.1542%252Fpeds.2004-0961%26rft_id%253Dinfo%253Apmid%252F15574615%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=pediatrics&resid=114/6/1560&atom=%2Febnurs%2F8%2F3%2F75.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif [5]: /embed/inline-graphic-3.gif [6]: /embed/inline-graphic-4.gif [7]: /embed/inline-graphic-5.gif [8]: /embed/inline-graphic-6.gif [9]: /embed/inline-graphic-7.gif

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)0.001
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.021
GPT teacher head0.334
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 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
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

Citations6
Published2005
Admission routes1
Has abstractyes

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