MétaCan
Menu
Back to cohort
Record W4213326710 · doi:10.1186/s12875-022-01634-w

Perceptions on barriers, facilitators, and recommendations related to mental health service delivery during the COVID-19 pandemic in Quebec, Canada: a qualitative descriptive study

2022· article· en· W4213326710 on OpenAlex
Jessica Spagnolo, Marie Beauséjour, Marie‐Josée Fleury, Jean-François Clément, Claire Gamache, Carine Sauvé, Lyne Couture, Richard Fleet, Shane Knight, Christine Gilbert, Helen‐Maria Vasiliadis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBMC Primary Care · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversité LavalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre Intégré de Santé et de Services Sociaux des LaurentidesCegep de Saint HyacintheCentre intégré de santé et de services sociaux de la Montérégie-CentreCentre intégré de santé et de services sociaux de Chaudière-AppalachesMcGill UniversityDouglas Mental Health University InstituteHôpital Charles-Le MoyneUniversité de Sherbrooke
Fundersnot available
KeywordsMental healthThematic analysisNursingMedicinePandemicService delivery frameworkQualitative researchModalitiesHealth carePsychologyService (business)PsychiatryBusinessCoronavirus disease 2019 (COVID-19)Political scienceMarketing

Abstract

fetched live from OpenAlex

BACKGROUND: There was an increase in self-reported mental health needs during the COVID-19 pandemic in Canada, with research showing reduced access to mental health services in comparison to pre-pandemic levels. This paper explores 1) barriers and facilitating factors associated with mental health service delivery via primary care settings during the first two pandemic waves in Quebec, Canada, and 2) recommendations to addressing these barriers. METHODS: A qualitative descriptive study design was used. Semi-structured interviews with 20 participants (health managers, family physicians, mental health clinicians) were conducted and coded using a thematic analysis approach. RESULTS: Barriers and facilitating factors were organized according to Chaudoir et al. (2013)'s framework of structural, organizational, provider- and patient-related, as well as innovation (technological modalities for service delivery) categories. Barriers included relocation of mental health staff to non-mental health related COVID-19 tasks (structural); mental health service interruption (organizational); mental health staff on preventive/medical leave (provider); the pandemic's effect on consultations (i.e., perceptions of increased demand) (patients); and challenges with the use of technological modalities (innovation). Facilitating factors included reinforcements to mental health care teams (structural); perceptions of reductions in wait times for mental health evaluations during the second wave due to diminished FP referrals in the first wave, as well as supports (i.e., management, private sector, mental health trained staff) for mental health service delivery (organizational); staff's mental health consultation practices (provider); and advantages in increasing the use of technological modalities in practice (innovation). CONCLUSIONS: To our knowledge, this is the first study to explore barriers and facilitating factors to mental health service delivery during the pandemic in Quebec, Canada. Some barriers identified were caused by the pandemic, such as the relocation of staff to non-mental health services and mental health service interruption. Offering services virtually seemed to facilitate mental health service delivery only for certain population groups. Recommendations related to building and strengthening human and technological capacity during the pandemic can inform mental health practices and policies to improve mental health service delivery in primary care settings and access to mental health services via access points.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.398
Teacher spread0.333 · 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