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Record W4403216120 · doi:10.1080/13691058.2024.2410834

University students’ access and use of sexual and reproductive health services in Australia

2024· article· en· W4403216120 on OpenAlexfundno aff
Arabella Mundie, Amy B. Mullens, Erich C. Fein, Sara F. E. Bell, Joseph Debattista, Armin Ariana, Kirstie Daken, Kathryn Wenham, Charles F. Gilks, Pamela Doherty, Jo Durham, Zhihong Gu, Judith A. Dean

Bibliographic record

VenueCulture Health & Sexuality · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsnot available
FundersInstitute of Infection and ImmunityGriffith UniversityUniversity of New South Wales
KeywordsReproductive healthHuman sexualityPsychologyPopulationMedicineGender studiesSociologyDemography

Abstract

fetched live from OpenAlex

University attendance can lead to changes in sexual behaviour that place people at increased risk of negative sexual and reproductive health (SRH) experiences; however, relatively few studies have explored access to and use of SRH services by university students in Australia. A convenience sample of students (N = 4291) from five universities completed an online survey to examine barriers and facilitators to accessing SRH services. Descriptive statistics were used to analyse variations by gender, sexuality, and enrolment status. Content analyses were conducted on responses to two open-ended questions. Over half (59%, 2934) had never spoken to a health professional about SRH issues. Of the 41% (1357) who had, female, non-binary/gender diverse, and Australian-born students were significantly more likely to have done so than students identifying as male, heterosexual, or as an international student. Frequently reported barriers to use of SRH services were ‘feeling embarrassed’, ‘being judged’ and ‘not knowing where to go’. LGBTQIA+ students along with international and overseas-born domestic students faced specific access barriers. Recommendations targeting student-identified barriers to access are offered, calling for universities to support student wellbeing by providing supportive, non-judgemental, and inclusive SRH promotion and health services that cater to needs of diverse student cohorts.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.223
GPT teacher head0.520
Teacher spread0.297 · 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.

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

Citations7
Published2024
Admission routes1
Has abstractyes

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