MétaCan
Menu
Back to cohort
Record W2139352325 · doi:10.1002/pd.2343

Ambivalence toward undergoing invasive prenatal testing: an exploration of its origins

2009· article· en· W2139352325 on OpenAlexaff
Julie C. Sapp, Sara Chandros Hull, Shelby Duffer, Sarah Zornetzer, Erica J. Sutton, Theresa M. Marteau, Barbara B. Biesecker

Bibliographic record

VenuePrenatal Diagnosis · 2009
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsUniversity of Toronto
FundersNHLBI Division of Intramural ResearchNational Institutes of Health
KeywordsAmbivalenceAmniocentesisFeelingPsychologyMedicineGenetic counselingDevelopmental psychologyPregnancyClinical psychologySocial psychologyPrenatal diagnosisFetus

Abstract

fetched live from OpenAlex

OBJECTIVE: This study explores ambivalence toward undergoing amniocentesis among pregnant women with overall positive attitudes. Its novelty lies in the characterization of the type and origins of the ambivalence. METHOD: Thirty-six women between 35 and 44 years of age were recruited from a US prenatal testing center to participate in structured telephone interviews. RESULTS: Thirty women chose to undergo testing. Attitudes toward undergoing amniocentesis were generally positive, although all participants simultaneously described feeling ambivalent. The women desired the information that amniocentesis could provide yet did not want to place their fetus at risk. Participants cited religious, moral, ethical and intellectual values important in shaping their attitudes toward undergoing amniocentesis. Important referents such as partners, other pregnant women, family members and physicians influenced their decisions. CONCLUSION: Tensions were evident among the intellectual, moral and spiritual values that contribute to ambivalence toward undergoing amniocentesis. Illuminating and discussing such tensions during the genetic counseling sessions prior to testing may resolve some of this ambivalence and thereby increase the quality of decisions women make.

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)0.000
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.104
GPT teacher head0.318
Teacher spread0.214 · 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 designBench or experimental
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

Citations37
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuePrenatal DiagnosisSame topicPrenatal Screening and DiagnosticsFrench-language works237,207