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Record W2982538464 · doi:10.1159/000503729

Family History Taking in Pediatric Practice: A Qualitative Interview Study

2019· article· en· W2982538464 on OpenAlexafffund
Laure Tessier, Beth K. Potter, Pranesh Chakraborty, June Carroll, Brenda J. Wilson

Bibliographic record

VenuePublic Health Genomics · 2019
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsMemorial University of NewfoundlandSinai Health SystemNewborn Screening OntarioUniversity of TorontoUniversity of OttawaOttawa HospitalChildren's Hospital of Eastern Ontario
FundersCanadian Institutes of Health Research
KeywordsPsychosocialThematic analysisMedicinePsychologyQualitative researchFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Family history (FH) is a risk factor for many conditions in pediatric practice. There is no standard of care regarding FH taking, and only a few published studies about current practice. OBJECTIVES: To explore in depth pediatricians' perceptions, attitudes, beliefs, and practices regarding FH taking. METHODS: The Theoretical Domains Framework (TDF) was used to develop a comprehensive interview scheme. Semi-structured interviews were conducted with community pediatricians. Interviews were audio-recorded, transcribed, and analyzed using a thematic approach and the constant comparison method. RESULTS: Eleven pediatricians were interviewed. FH was found to be a firmly embedded, complex, and important aspect of pediatric practice. Participants described FH as part of regular holistic care. FH and social history were linked and often appeared to be part of the same concept to participants. FH was used for a range of purposes. In addition to risk assessment, FH information helped clarify diagnosis and select medication, tailor overall patient management based on family circumstance, and provide psychosocial support for parents. Participants expressed confidence in their FH skills and reported tailoring their approach with experience. Most were not concerned about formal evidence for FH and would not change their practice except for "good reason." CONCLUSIONS: The use of the TDF helped ensure a comprehensive approach to FH taking in pediatric practice. The findings suggest that FH taking in this setting is a complex activity, embedded in routine care. Efforts to make FH taking more systematic may founder if they fail to take into account pediatricians' attitudes, perspectives, and practices.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.166
GPT teacher head0.424
Teacher spread0.257 · 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 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

Citations4
Published2019
Admission routes2
Has abstractyes

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