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Record W2229811951 · doi:10.1136/jfprhc-2014-101161

Do women seeking termination of pregnancy need pre-abortion counselling?

2015· article· en· W2229811951 on OpenAlexaboutno aff
Charlotte Baron, Sharon Cameron, Anne Johnstone

Bibliographic record

VenueJournal of Family Planning and Reproductive Health Care · 2015
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAbortionFamily medicineQuarter (Canadian coin)Family planningReproductive healthNursingPsychiatryPregnancyPopulationResearch methodology

Abstract

fetched live from OpenAlex

BACKGROUND: Pre-termination counselling is currently voluntary in the UK; however, there has been political debate regarding the introduction of mandatory pre-termination counselling as well as who should be providing the abortion counselling services. OBJECTIVE: To quantify the proportion of women who use pre-termination counselling services and to evaluate their experience. METHOD: An anonymous self-administered questionnaire of women requesting an abortion at Chalmers Sexual Health Centre and the Royal Infirmary of Edinburgh NHS Lothian from 6 October to 2 December 2014. RESULTS: Only 18 (9%) of the 201 women surveyed reported using pre-termination counselling. The majority of women did not feel counselling was necessary because they were already certain of their decision. Nearly a quarter (22%) of women claimed to not know counselling was available. Women who did use counselling were satisfied with the services they received. The majority of counselling services were provided by the National Health Service and only one woman used a 'pro-life' charity. Women stated that they would prefer face-to-face counselling rather than telephone or Internet-based counselling. CONCLUSIONS: Most women do not seem to want or need pre-termination counselling therefore policies aimed at mandatory counselling, would be contrary to women's wishes. Counselling should be targeted at women with risk factors for psychological complications post-termination.

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)0.002
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 score0.554
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.046
GPT teacher head0.360
Teacher spread0.314 · 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

Citations16
Published2015
Admission routes1
Has abstractyes

Explore more

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