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Record W4393043279 · doi:10.7202/1109835ar

Les interventions de courte durée offertes par les centres locaux de services communautaires (CLSC) aux personnes traversant un épisode de troubles anxieux ou dépressifs : une étude longitudinale au Québec

2023· article· fr· W4393043279 on OpenAlexaffvenueabout
Janie Houle, Corentin Montiel, François Lauzier‐Jobin, Stéphanie Radziszewski, Catherine Hudon, Pasquale Roberge, Simon Coulombe, Annie Beaudin, Hélène Provencher, Martin D. Provencher

Bibliographic record

VenueSanté mentale au Québec · 2023
Typearticle
Languagefr
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversité LavalUniversité de SherbrookeUniversité du Québec à Montréal
Fundersnot available
KeywordsAnxietyPsychological interventionMental healthContext (archaeology)MoodPsychosocialQuality of life (healthcare)Intervention (counseling)Clinical psychologyPsychologyLongitudinal studyMedicinePsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Context In Quebec, adult mental health (AMH) first-line teams are mandated to provide psychosocial services to people living with mental health difficulties, including anxiety and mood disorders. Following the establishment of new clinical guidelines in 2017, the duration of interventions was not to exceed 15 sessions, with some exceptions. Objectives The overall aim of the longitudinal component of the Shared Knowledge study was to evaluate the care experience of individuals with an anxiety or depressive disorder receiving a short-term intervention (<15 sessions) by first-line AMH teams, and the evolution of recovery over time. Specifically, the objectives were to: 1) determine the appreciation of short-term interventions by service users; and 2) assess the evolution over time of the symptomatology, functioning and quality of life and recovery of individuals receiving short-term interventions. Method A mixed method longitudinal design was used. Telephone interviews were conducted with participants, in which the following variables were quantitatively and qualitatively assessed: appreciation of services received, quality of relationship with the provider (INSPIRE), depressive symptoms (PHQ-9), anxiety symptoms (GAD-7), global functioning (WHODAS), quality of life (ReQOL), and personal recovery (ERTAD). Linear mixed model analyses were performed to examine changes over time on quantitative measures. Content analysis was performed on the qualitative data. Results A total of 63 individuals participated in an interview before the start of their intervention and 22 of them participated after the end of this intervention. Statistical analyses showed a significant improvement in anxiety symptoms, quality of life, and personal recovery, but no difference was observed in depressive symptoms and level of functioning. Nearly half (47.4%) of participants reported that the intervention they received had "completely" met the need that had led them to seek help, and 33.3% felt "completely" equipped or empowered in their recovery. The quality of the relationship with the caregiver, the opportunity to take part in decision-making, and the personalization of the intervention according to their needs and preferences were some of the elements that were particularly appreciated. Conclusion Short-term interventions seem to be appreciated and produce positive effects in many people suffering from anxiety or depressive disorders. However, they remain insufficient for a number of them. A personal recovery measure should be used in conjunction with symptomatology and functioning scales to monitor the progress of people using first-line mental health services.

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
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 head0.061
GPT teacher head0.378
Teacher spread0.317 · 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 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".

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Citations0
Published2023
Admission routes3
Has abstractyes

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