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Record W2080854268 · doi:10.1136/sti.76.5.393

How much interest is the internet to patients?

2000· article· en· W2080854268 on OpenAlexaboutno aff
Jonathan Ross

Bibliographic record

VenueSexually Transmitted Infections · 2000
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThe InternetFamily medicineConfidentialityQuarter (Canadian coin)Internet accessReproductive healthGenitourinary medicinePopulationInternal medicineWorld Wide Web

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess the accessibility of the internet, the level of interest from patients attending genitourinary (GU) medicine clinics, and explore potential concerns about confidentiality. METHODS: Questionnaire based survey of patients attending five GU medicine clinics in England. RESULTS: 41% of GU medicine clinic patients in 1999 had access to the internet (range 31%-52%) with access more common in younger age groups, and less common in women and black Caribbean patients. One in 10 patients (with internet access) had used the internet to find out more about the problem with which they had come to the clinic. 60% of patients replied that information on sexual health on the internet was of interest to them and a high proportion of patients said they would use the internet to access information about GU clinics (64%), book an appointment (64%) or get test results (63%). Almost a quarter of patients who made additional suggestions wanted an interactive website. CONCLUSIONS: A high proportion of patients attending GU clinics have access to the internet with potential uses for health education and service delivery.

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)0.023
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.041
GPT teacher head0.376
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 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

Citations28
Published2000
Admission routes1
Has abstractyes

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