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Record W3037706999 · doi:10.1136/bmjsrh-2019-200339

Accessing emergency contraception pills from pharmacies: the experience of young women in London

2020· article· en· W3037706999 on OpenAlexaff
Gillian Turnbull, Rachel Scott, Sue Mann, Kaye Wellings

Bibliographic record

VenueBMJ Sexual & Reproductive Health · 2020
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of British Columbia
FundersNational Institute for Health Research Health Protection Research Unit
KeywordsPharmacyEmergency contraceptionPillMedicineFamily medicineService (business)Family planningScope (computer science)Medical prescriptionNursingPopulationBusinessResearch methodologyMarketingEnvironmental health

Abstract

fetched live from OpenAlex

INTRODUCTION: Over-the-counter provision of emergency contraception pills (ECP) has increased since deregulation of progestogen-only formulations and is now the most common public health service provided by UK pharmacists. Important questions relate to women's perceptions of their experience of receiving ECPs from pharmacists. METHODS: Qualitative study: in-depth interviews with young women reporting ECP use, recruited from clinic (10); pharmacy (6) and community settings (5) in London. RESULTS: Key advantages of pharmacy provision were ease and speed of access and convenience. Disadvantages included a less personal service, inadequate attention to information needs and to prevention of recurrence of ECP need, and unsupportive attitudes of pharmacy staff. Suggested service improvements included increasing privacy, providing more contraceptive advice, adopting a more empathetic approach and signposting follow-up services. CONCLUSION: Pharmacies are important in the choice of settings from which ECPs can be obtained and many aspects of pharmacy provision are appreciated by young women. There is scope to further enhance pharmacists' role.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.077
GPT teacher head0.412
Teacher spread0.335 · 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 designQualitative
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

Citations14
Published2020
Admission routes1
Has abstractyes

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