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Record W4388720616 · doi:10.1370/afm.22.s1.5353

Interprofessional advanced access: results from a quality improvement intervention in primary care teams

2023· article· en· W4388720616 on OpenAlexaboutno aff
Isabelle Gaboury, François Bordeleau, Brigitte Vachon, Isabel Cristina Rodrigues, Arnaud Duhoux, Yves Couturier, Catherine Hudon, Helen‐Maria Vasiliadis, Marie-Ève Poitras, Sarah Descôteaux, Benoît Cossette, Kathy Perreault, Sabina Abou Malham, Christine Loignon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Quality managementNursingIntervention (counseling)Health careMedicineMedical educationFamily medicineBusinessService (business)

Abstract

fetched live from OpenAlex

Context: The advanced access (AA) model has shown considerable success in improving timely access for patients in primary care settings. However, despite its widespread use, few providers other than physicians and nurse practitioners have implemented the model. Among those who have integrated it into their practice, wide variations in the level of implementation of AA processes have been observed, suggesting a need to support primary care teams in continuous improvement with AA implementation. Objective: To document the processes and measure outcomes of a practice facilitation intervention aimed to improve the implementation of AA within interprofessional teams. Study design and analysis: Primary care teams at various levels of organizational AA implementation took part in a quality improvement process facilitated by an external coach who was an expert in AA processes. Data were collected through reflective surveys and electronic medical records. Setting: Eight interprofessional primary care teams in the province of Quebec, Canada. Teams mainly included physicians, nurses, social workers, and pharmacists. Population studied: All healthcare providers, administrative assistants, and managers were invited to participate. Intervention/instrument: The interprofessional primary care teams were independently coached through Plan-Do-Study-Act cycles over 12 to 40 months. Outcome measures: Five key indicators on access and continuity of care were plotted and interpreted using control charts to support the improvement process. Findings: Results are from a total of 151 individuals across the eight teams. Significant improvements were observed at the team level in time to the 3rd next available appointment (decrease of 4 days), use of walk-in clinics (decrease of 20%), availability for urgent reasons for consultation (within 48 hours; increase of 48%), and continuity of care (above 80%). No shows did not vary significantly, but were estimated to be about 2% at baseline. Conclusion: Quality improvement through external coaching can significantly improve access and continuity of care. The implementation of AA processes can be broadened to a diverse group of primary care providers.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.345
Teacher spread0.315 · 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 routes1
Has abstractyes

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