Nurse home visits did not differ from standard care for prevention of recurrent child abuse
Bibliographic record
Abstract
MacMillan HL, Thomas BH, Jamieson E, et al . Effectiveness of home visitation by public-health nurses in prevention of the recurrence of child physical abuse and neglect: a randomised controlled trial. Lancet 2005;365:1786–93.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q In families referred to child protection agencies (CPAs), does a programme of home visiting by public health nurses (PHNs) plus standard care prevent recurrence of child physical abuse or neglect more than standard care alone? ### ![Graphic][5] Design: randomised controlled trial. ### ![Graphic][6] Allocation: concealed. ### ![Graphic][7] Blinding: blinded (data collectors and outcome assessors). ### ![Graphic][8] Follow up period: 2 years of intervention followed up by 1 year of observation. ### ![Graphic][9] Setting: 2 CPAs in Hamilton, Ontario, Canada. ### ![Graphic][10] Participants: 163 English speaking families (mean age of respondent 29 y, 95% women; mean age of index child 5 y) who had been referred to the CPA for an episode of child physical abuse or neglect that occurred in the past 3 months, and the index child was <13 years of age and still living with … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DMacMillan%26rft.auinit1%253DH.%2BL.%26rft.volume%253D365%26rft.issue%253D9473%26rft.spage%253D1786%26rft.epage%253D1793%26rft.atitle%253DEffectiveness%2Bof%2Bhome%2Bvisitation%2Bby%2Bpublic-health%2Bnurses%2Bin%2Bprevention%2Bof%2Bthe%2Brecurrence%2Bof%2Bchild%2Bphysical%2Babuse%2Band%2Bneglect%253A%2Ba%2Brandomised%2Bcontrolled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252805%252966388-X%26rft_id%253Dinfo%253Apmid%252F15910951%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/external-ref?access_num=10.1016/S0140-6736(05)66388-X&link_type=DOI [3]: /lookup/external-ref?access_num=15910951&link_type=MED&atom=%2Febnurs%2F9%2F1%2F13.atom [4]: /lookup/external-ref?access_num=000229291600023&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".