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Record W7047786301

Inclusion of Adoption as a Pregnancy Management Option in Prenatal Genetic Counseling Practice

2024· article· en· W7047786301 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons-TMC (Texas Medical Center) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsGenetic counselingInclusion (mineral)CurriculumPsychosocialPregnancyPreparedness
DOInot available

Abstract

fetched live from OpenAlex

Prenatal genetic counselors are essential to providing education, psychosocial support, and guidance on pregnancy options to patients who receive a fetal diagnosis of an anomaly or genetic condition. Therefore, genetic counselors should be well-educated on comprehensive pregnancy management options consisting of parenting, abortion, and adoption. The landscape of adoption education in genetic counseling practice was last characterized in 2010 by Perry and Henry, revealing substantial variability in both the inclusion of adoption-specific education in genetic counseling program (GCP) curricula and the discussion of pregnancy options with patients in prenatal practice. As a result, the authors published a call to action promoting the expansion of adoption-specific education in GCP curriculum and CEU opportunities. With over a decade having passed since this call to action, the current study sought to provide an update on adoption education content in GCP curricula, assess the current state of prenatal genetic counselors’ comfort levels and perceived preparedness counseling on the option of adoption, and identify factors influencing discussion of adoption as a pregnancy management option in the case of a non-life-limiting prenatal anomaly or genetic diagnosis. This study surveyed a representative sample of genetic counselors with prenatal genetic counseling experience in the US and Canada, where data from 148 participants was analyzed using descriptive statistics and statistical tests including Mann-Whitney U tests, Kruskal-Wallis tests with post-hoc Dunn’s tests, Fisher’s exact tests, and multivariable ordinal logistic models as appropriate in Stata (17.0, StataCorp LLC, College Station, TX) to determine statistical significance (p<0.05). One third of participants reported inclusion of adoption-specific education in their GCP curriculum as either mandatory or optional. Genetic counselors reported both lower comfort levels and lower frequencies counseling on adoption as a pregnancy management option compared to the options of parenting and abortion. Higher comfort levels counseling on adoption were significantly associated with certain curricular components, identification of certain adoption resources, post-grad CEU completion, more time spent in a prenatal role, and higher frequency counseling on adoption. The current study highlights a continued lack of adoption-specific educational opportunities and persistent discomfort with counseling on adoption as a pregnancy management option. Therefore, we provide updated guidance on adoption education and identification of resources for genetic counselors, genetic counseling programs, and national organizations to promote comprehensive, unbiased options counseling for pregnant individuals following prenatal detection of a non-life-limiting anomaly or genetic diagnosis.

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)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.272
Teacher spread0.263 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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