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Record W3001192198 · doi:10.1371/journal.pone.0228142

Young women’s reproductive health conversations: Roles of maternal figures and clinical practices

2020· article· en· W3001192198 on OpenAlexaff
Nicole K. Richards, Elizabeth Crockett, Christopher P. Morley, Brooke A. Levandowski

Bibliographic record

VenuePLoS ONE · 2020
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Waterloo
FundersSchool of Medicine and Dentistry, University of RochesterSociety of Family PlanningUniversity of Rochester
KeywordsReproductive healthConfidentialityThematic analysisFocus groupAutonomyHealth careConversationEmpowermentMedicineYoung adultNursingPsychologyFamily medicineGerontologyQualitative researchPopulationEnvironmental healthSociologyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the role of clinical providers and mothers on young women's ability to have confidential, candid reproductive health conversations with their providers. METHODS: We conducted 14 focus groups with 48 women aged 15-28 years (n = 9), and 32 reproductive healthcare workers (n = 5). Focus groups were audio recorded and transcribed. Data were analyzed using inductive coding and thematic analyses. We examined findings through the lens of paternalism, a theory that illustrates adults' role in children's autonomy and wellbeing. RESULTS: Mothers have a substantial impact on young women's health values, knowledge, and empowerment. Young women reported bringing information from their mothers into patient-provider health discussions. Clinical best practices included intermingled components of office policies, state laws, and clinical guidelines, which supported health workers' actions to have confidential conversations. There were variations in how health workers engaged young women in a confidential conversation within the exam room. CONCLUSIONS: Both young women and health workers benefit from situations in which health workers firmly ask the parent to leave the exam room for a private conversation with the patient. Young women reported this improves their comfort in asking the questions they need to make the best decision for themselves. Clinic leadership needs to ensure that confidentiality surrounding young women's reproductive health is uniform throughout their practice and integrated into patient flow.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.066
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
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 head0.158
GPT teacher head0.377
Teacher spread0.219 · 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

Citations13
Published2020
Admission routes1
Has abstractyes

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