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Record W4224309528 · doi:10.1136/bmjopen-2021-050890

Integration of sex and gender in a continuing professional development course on diabetes and depression: a mixed methods feasibility study

2022· article· en· W4224309528 on OpenAlexafffundabout
Alèxe Deom Tardif, Amédé Gogovor, Sabrina Guay-Bélanger, Nicole Parent, André Gaudreau, Danièle Remy-Lamarche, Luc Vigneault, Gérard Ngueta, André Bilodeau, France Légaré

Bibliographic record

VenueBMJ Open · 2022
Typearticle
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsMcGill UniversityCanadian Association of PhysicistsFrancophone University AssociationCentre intégré universitaire de santé et de services sociaux de la Capitale-NationaleUniversité LavalHôpital Saint-François d'AssiseCentres Intégré Universitaires de Santé et de Services Sociaux
FundersInstitute of Gender and HealthCanadian Institutes of Health Research
KeywordsMedicineDepression (economics)Diabetes mellitusLife course approachEpidemiologyCourse (navigation)Family medicinePsychiatryGerontologyMedical educationInternal medicineDevelopmental psychologyEndocrinology

Abstract

fetched live from OpenAlex

OBJECTIVES: Assess the feasibility and impact of a continuous professional development (CPD) course on type 2 diabetes and depression on health professionals' intention to include sex and gender considerations in patient care. DESIGN AND SETTING: In collaboration with CPD organisations and patient-partners, we conducted a mixed-methods feasibility controlled trial with postintervention measures in three Canadian provinces. PARTICIPANTS: Of 178 eligible health professionals, 127 completed questionnaires and 67 participated in semistructured group discussions. INTERVENTION AND COMPARATOR: An interactive 1 hour CPD course, codesigned with patient-partners, on diabetes and depression that included sex and gender considerations (innovation) was compared with a similar course that did not include them (comparator). OUTCOMES: Feasibility of recruitment and retention of CPD organisations and patient-partners throughout the study; adherence to planned activities; health professionals' intention to include sex and gender considerations in patient care as measured by the CPD-Reaction questionnaire; and barriers and facilitators using the Theoretical Domains Framework. RESULTS: All recruited CPD organisations and patient-partners remained engaged throughout the study. All planned CPD courses occurred. Overall, 71% of eligible health professionals participated (63% under 44 years old; 79.5% women; 67.7% practising in French; 66.9% practising in Quebec; 78.8% in urban practice). After training, mean intention scores for the innovation (n=49) and control groups (n=78) were 5.65±0.19 and 5.19±0.15, respectively. Mean difference was -0.47 (CI -0.95 to 0.01; p=0.06). Adjusted for age, gender and practice settings, mean difference was -0.57 (CI -1.09 to -0.05; p=0.03). We identified eight theoretical domains related to barriers and six related to facilitators for providing sex-adapted and gender-adapted diabetes and depression care. CONCLUSIONS: CPD training on diabetes and depression that includes sex and gender considerations is feasible and, compared with CPD training that does not, may prompt health professionals to modify their care. Addressing identified barriers and facilitators could increase intention. TRIAL REGISTRATION NUMBER: NCT03928132 with ClinicalTrials.gov; Post-results.

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)0.018
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.258
GPT teacher head0.538
Teacher spread0.280 · 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

Citations6
Published2022
Admission routes3
Has abstractyes

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