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Record W2143290412

Comprehensive treatment program for pregnant substance users in a family medicine clinic.

2011· article· en· W2143290412 on OpenAlexaffabout
Alice Ordean, Meldon Kahan

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsSt Joseph's Health Centre
Fundersnot available
KeywordsMedicineAttendancePrenatal carePregnancyFamily medicinePsychosocialSubstance abuseAddictionAddiction medicinePsychiatryEnvironmental healthPopulation
DOInot available

Abstract

fetched live from OpenAlex

PROBLEM BEING ADDRESSED: Substance use during pregnancy is a substantial public health problem and a risk factor for poor neonatal outcomes. Prenatal care is often provided in high-risk pregnancy units, separate from addiction treatment. OBJECTIVE OF PROGRAM: To provide comprehensive prenatal care and addiction treatment in a family medicine setting. DESCRIPTION OF PROGRAM: The Toronto Centre for Substance Use in Pregnancy (T-CUP) is a family medicine-based program in a large urban city in Ontario. The T-CUP program comprises an interdisciplinary team using a one-stop access model to provide comprehensive services for pregnant women with a history of alcohol or drug abuse, including prenatal and postnatal medical care, addiction counseling, and assistance with complex psychosocial needs. EVALUATION: A retrospective chart review was performed, including charts for 121 women who received care at T-CUP from August 2000 to January 2006. Women demonstrated a high compliance rate with prenatal care attendance. Most women reported reduction in a variety of drug use categories. Significant differences were found especially among women who presented earlier in their pregnancies (P < .05). As a result, neonatal outcomes were satisfactory and approximately 75% of newborns were discharged home in the care of their mothers. CONCLUSION: Pregnant substance-using women have positive maternal and infant health outcomes when they receive comprehensive care in a family medicine setting.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.811

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.121
GPT teacher head0.316
Teacher spread0.195 · 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

Citations43
Published2011
Admission routes2
Has abstractyes

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