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Record W3213485416 · doi:10.9778/cmajo.20200278

Impacts of the Certificates of Added Competence credentialling program: a qualitative case study of enhanced-skill family medicine practice across Canada

2021· article· en· W3213485416 on OpenAlexaffvenueabout
Lawrence Grierson, Ilana Allice, Alison Baker, Alexandra Farag, Jesse Guscott, Michelle Howard, Margo Mountjoy, Henry Siu, X. Catherine Tong, Meredith Vanstone

Bibliographic record

VenueCMAJ Open · 2021
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsOperationalizationCompetence (human resources)Qualitative researchCertificationExploratory researchScope of practicePopulationFamily medicineNursingMedicineMedical educationPsychologyHealth careSociologySocial psychologyManagementPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: In 2015, the College of Family Physicians of Canada (CFPC) expanded its Certificates of Added Competence (CAC) program to include enhanced-skill certification in Care of Elderly, Family Practice Anesthesia, Palliative Care, and Sports and Exercise Medicine. We aimed to describe the impact of these 4 CACs on the provision of comprehensive care in Canada, while also identifying the factors of influence that foster these impacts. METHODS: Between September 2018 and June 2019, we conducted qualitative case studies of 6 family medicine practices across Canada, sampled to represent geographic, population and practice arrangement diversity. We developed a framework of relevant factors and their relations to CAC-mediated comprehensive care delivery. We took an exploratory approach to the first 4 case studies, guided by theoretical propositions based on a literature review, and the CFPC's 4 principles of family medicine and goals for practice. The emerging theory was confirmed and adapted through the final 2 explanatory case studies. Data were obtained through semistructured qualitative interviews with enhanced-skill and generalist physicians, specialists, trainees and administrators associated with these cases. We performed a descriptive content analysis, within and across cases. RESULTS: Interviews with 48 participants showed considerable variation in the way CACs are operationalized related to the specific domain of care, the community, relationships among practitioners, motivations of the practitioner and needs of the patient population. The presence of CAC holders in communities expands the scope of available services, reduces the need for patients to travel and encourages continuity of care; however, comprehensive care may be negatively affected when CAC holders develop enhanced-skill practices according to clinical interests rather than community needs. Factors associated with collaborative care models, practice requirements, remuneration structure, community culture and individual aspirations interact to reinforce or undermine the effectiveness of enhanced-skill practices. INTERPRETATION: Holders of CACs have a positive impact when they work in collaborative models that align with the needs of communities and that support local generalist family physicians. Health care policies should incentivize CAC activities that contribute to planned care delivery at the practice and community levels.

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)0.003
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 score0.028
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.166
GPT teacher head0.586
Teacher spread0.419 · 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

Citations12
Published2021
Admission routes3
Has abstractyes

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