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Record W2419536128 · doi:10.1186/s12875-016-0459-2

How do general practitioners contribute to preventing long-term work disability of their patients suffering from depressive disorders? A qualitative study

2016· article· en· W2419536128 on OpenAlexafffundabout
Chantal Sylvain, Marie‐José Durand, Pascale Maillette, Lise Lamothe

Bibliographic record

VenueBMC Family Practice · 2016
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversité du Québec à MontréalUniversité de MontréalUniversité de Sherbrooke
FundersFondation J. Armand Bombardier
KeywordsThematic analysisMedicineContext (archaeology)Mental healthPsychological interventionNursingAbsenteeismCertificationQualitative researchSick leaveWork (physics)Applied psychologyPsychiatryPsychologySocial psychologyPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Depression is a major cause of work absenteeism that general practitioners (GPs) face directly since they are responsible for sickness certification and for supervising the return to work (RTW). These activities give GPs a key role in preventing long-term work disability, yet their practices in this regard remain poorly documented. The objectives of this study were therefore to describe GPs' practices with people experiencing work disability due to depressive disorders and explore how GPs' work context may impact on their practices. METHODS: We conducted semi-structured individual interviews with 13 GPs and six mental healthcare professionals in two sub-regions of Quebec. The sub-regions differed in terms of availability of specialized resources offering public mental health services. Data were anonymized and transcribed verbatim. Thematic analysis was performed to identify patterns in the GPs' practices and highlight impacting factors in their work context. RESULTS: Our results identified a set of practices common to all the GPs and other practices that differentiated them. Two profiles were defined on the basis of the various practices documented. The first is characterized by the integration of the RTW goal into the treatment goal right from sickness certification and by interventions that include the workplace, albeit indirectly. The second is characterized by a lack of early RTW-oriented action and by interventions that include little workplace involvement. Regardless of the practice profile, actions intended to improve collaboration with key stakeholders remain the exception. However, two characteristics of the work context appear to have an impact: the availability of a dedicated mental health nurse and the regular provision of clinical information by psychotherapists. These conditions are rarely present but tend to make a significant difference for the GPs. CONCLUSIONS: Our results highlight the significant role of GPs in the prevention of long-term work disability and their need for support through the organization of mental health services at the primary care level.

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.416
Teacher spread0.364 · 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 designObservational
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

Citations27
Published2016
Admission routes3
Has abstractyes

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