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Record W4387379531 · doi:10.1210/jendso/bvad114.1528

THU212 Exploring The Experiences Of Adult Patients With Turner Syndrome At A Multidisciplinary Clinic

2023· article· en· W4387379531 on OpenAlexaffabout
Sooyoun Shin, Laurel Liang, Clara Korenvain, Lisa McCarthy, Iliana C. Lega

Bibliographic record

VenueJournal of the Endocrine Society · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Canadian institutionsWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsMultidisciplinary approachFeelingFertilityContext (archaeology)Thematic analysisMedicineMenopauseQualitative researchFamily medicinePsychologyDevelopmental psychologySocial psychologyPopulation

Abstract

fetched live from OpenAlex

Abstract Disclosure: S. Shin: Grant Recipient; Self; Canadian Menopause Society Pfizer Research Award. L. Liang: None. C. Korenvain: None. L. McCarthy: None. I.C. Lega: None. Context: Turner syndrome (TS), a genetic condition affecting 1 in 2500 live female births, is associated with short stature, infertility, and premature menopause. Patients with TS are often followed by multidisciplinary clinics as children, but such care is often lacking in adulthood. A multidisciplinary clinic in Canada fills this gap, providing dual visits with an endocrinologist and gynecologist. There is a paucity of research exploring the experiences of adults with TS with respect to menopause and fertility, and the perceived impact of a multidisciplinary team. Objective: To explore the experiences of adults with TS regarding 1) reproductive health and menopause, and 2) interacting with a multidisciplinary team for the management of TS. Methods: Qualitative semi-structured interviews were conducted with 21 adult TS patients who attend a multidisciplinary TS clinic. Interviews were transcribed verbatim and coded by two independent researchers. A codebook was developed using an iterative process with input from the entire research team. Themes were generated using thematic analysis. Results: Twenty-one participants aged 20 to 65 were interviewed and five themes emerged from the data. 1) Participants’ differing feelings toward fertility status. Experience with fertility differed widely and was affected by the timing of diagnosis, how the diagnosis was communicated, and feelings toward having children. 2) Resiliency. Participants sought ways to adapt to living with TS, striving towards resilience by leaning on support from family and others with TS. 3) Involvement in one’s own care. Many participants were actively engaged in their care and sought support in learning more about their condition. 4) Desire for comprehensive health care. Many participants felt the multidisciplinary TS clinic was knowledgeable, convenient, and effective in managing their comorbidities. 5) Barriers to accessing health care. Participants identified challenges in accessing health care providers with TS expertise, in navigating the financial burden involved in comprehensive TS care, and in accessing inclusive care. Conclusion: Infertility appeared to have a variable impact on participants, ranging from those who felt it was an important aspect in developing their self-identity to those who felt it had little impact. Our research highlights the importance of using a tailored approach to providing fertility care. Participants desired to be actively involved in their own healthcare and for further access to educational resources. The participants greatly appreciated the care provided in the multidisciplinary care model and called for further capacity building in TS expertise among all healthcare providers. To improve the care of our TS patients, our findings support the demand/need for additional TS-specific clinics across the world. Presentation: Thursday, June 15, 2023

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)0.005
metaresearch head score (Gemma)0.007
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 score0.008
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.004
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.264
Teacher spread0.247 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

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