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Record W4210390111 · doi:10.2147/copd.s341905

Challenges and Strategies for Improving COPD Primary Care Services in Quebec: Results of the Experience of the COMPAS+ Quality Improvement Collaborative

2022· article· en· W4210390111 on OpenAlexafffundabout

Bibliographic record

VenueInternational Journal of COPD · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsMcGill University Health CentreSante MontrealCentre Hospitalier de l’Université de MontréalHôpital Charles-Le MoyneUniversité de SherbrookeInstitut National d'Excellence en Santé et en Services SociauxUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
FundersCanadian Institutes of Health Research
KeywordsPrimary careQuality managementCOPDQuality (philosophy)Health carePrimary health careFace (sociological concept)

Abstract

fetched live from OpenAlex

INTRODUCTION: Management of chronic obstructive pulmonary disease (COPD) remains a challenge in primary care and multiple barriers can limit implementation of COPD guidelines. Since 2016, a quality improvement (QI) collaborative, called COMPAS+, has been implemented across the province of Quebec (Canada) to support improvement of chronic disease management in primary care. The aim of this study was to describe the main COPD quality problems reported by participating teams and the strategies they proposed and implemented to improve COPD primary care services in Quebec. METHODS: Sixteen sites in four different regions of Quebec were engaged in the COMPAS+ intervention to improve primary care services delivered to people living with COPD. A total of 14 workshop reports, 31 QI action plans and 4 regional final reports underwent content analysis. Key COPD quality problems were first identified and, for each of them, root causes were classified according to the domains and constructs of the Consolidated Framework for Implementation Research. Proposed strategies were organized according to the intervention function types described in the Behavior Change Wheel. RESULTS: Four key COPD quality problems were identified: 1) lack of organization/coordination of COPD services, 2) lack of screening services coordination, 3) lack of interprofessional communication and collaboration and 4) lack of treatment adherence. Main root causes explaining these quality gaps were 1) lack of awareness of COPD, 2) lack of professional knowledge, 3) lack of definition of professional roles, 4) lack of resources and tools for COPD prevention, diagnosis, and follow-up, 5) lack of communication tools, 6) lack of integration of the patient-as-partner approach, and 7) lack of adaptation of patient education to their specific needs. Multiple strategies were proposed to improve healthcare professionals' education and interprofessional collaboration and communication. CONCLUSION: QI collaborative activities can support achieving understanding of QI challenges healthcare organizations face to improve COPD 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.055
GPT teacher head0.425
Teacher spread0.370 · 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.

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

Citations30
Published2022
Admission routes3
Has abstractyes

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