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Record W190869163

Use of complementary and alternative medications among patients in an obstetrics and gynecology clinic.

2012· article· en· W190869163 on OpenAlexaff
Judith A. Smith, Martina L. Badell, Anuradha Kunther, J. Lynn Palmer, John L. Dalrymple, Susan M. Ramin

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsMedicinePrivate practiceMedical prescriptionFamily medicineObstetrics and gynaecologyLogistic regressionAlternative medicinePopulationHealth careOutpatient clinicNursingInternal medicinePregnancy
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the current use of complementary and alternative medication (CAM) products among women in obstetrics and gynecology outpatient clinics. STUDY DESIGN: This study was performed at a major academic center among patients seen at either a faculty-led private clinical practice site (n = 250) or a resident-led clinical practice site (n = 250). Patients were requested to bring a written list and the medication bottles (prescriptions, over-the-counter medications and CAM products) to the clinic, where a survey was then administered. RESULTS: Overall, 18.6% of participants were using CAM products. Significantly more patients reported using CAM products in the faculty private practice as compared to the resident clinic practice (28.4% vs. 8.8%, respectively, p value < 0.05). Only 29.0% of CAM products users had spoken to a healthcare provider regarding CAM products. Multivariate logistic regression model determined that older age (p < 0.0001) and Caucasian ethnicity (p = 0.0245) were associated with higher rates of CAM products use. CONCLUSION: In this study CAM products use was not as prevalent as anticipated for this patient population, however it continues to be underreported to providers. Healthcare professionals should continue to increase their knowledge about CAM products, take a proactive role to improve documentation, and develop an open communication with patients regarding appropriate use of CAM products.

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)0.001
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 score0.086
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.133
GPT teacher head0.345
Teacher spread0.212 · 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

Citations6
Published2012
Admission routes1
Has abstractyes

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