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Record W3204634555 · doi:10.1136/bmjopen-2021-049058

How is family health history discussed in routine primary healthcare? A qualitative study of archived family doctor consultations

2021· article· en· W3204634555 on OpenAlexaff
Sara Filoche, Maria Stubbe, Rebecca Grainger, Bridget Robson, Karyn Paringatai, Phil Wilcox, Regina Jefferies, Anthony Dowell

Bibliographic record

VenueBMJ Open · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsWomen's Health Research Institute
FundersUniversity of Otago
KeywordsFamily historyFamily medicineGenogramHealth careQualitative researchMedicineMedical historySociocultural evolutionInclusion (mineral)PsychologyNursingSocial psychologySociology

Abstract

fetched live from OpenAlex

Objectives Family health history underpins genetic medicine. Our study aimed to explore language and patterns of communication relating to family health history observed in interactions between general practitioners (GPs) and their patients within routine primary care consultations. Design Secondary analysis of patient and GP routine consultation data (n=252). Participants Consultations that included ‘family health history’ were eligible for inclusion (n=58). Primary outcomes A qualitative inductive analysis of the interactions from consultation transcripts. Results 46/58 conversations about family health history were initiated by the GP. Most discussions around family history lasted for between approximately 1 to 2 min. Patients were invited to share family health history through one of two ways: non-specific enquiry (eg, by asking the patient about ‘anything that runs in the family’); or specific enquiry where they were asked if they had a ‘strong family history’in relation to a particular condition, for example, breast cancer. Patients often responded to either approach with a simple no, but fuller negative responses also occurred regularly and typically included an account of some kind (eg, explaining family relationships/dynamics which impeded or prevented the accessibility of information). Conclusions Family health history is regarded as a genetic test and is embedded in the sociocultural norms of the patient from whom information is being sought. Our findings highlight that it is more complex than asking simply if ‘anything’ runs in the family. As the collection of family health history is expected to be more routine, it will be important to also consider it from sociocultural perspectives in order to help mitigate any inequities in how family history is collected, and therefore used (or not) in a person’s healthcare. Orientating an enquiry away from ‘anything’ and asking more specific details about particular conditions may help facilitate the dialogue.

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)0.015
metaresearch head score (Gemma)0.038
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 score0.021
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.038
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0110.010
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0030.003
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 head0.116
GPT teacher head0.432
Teacher spread0.316 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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