Facilitators and barriers to the implementation of the Primary Care Asthma Paediatric Pathway: a qualitative analysis
Bibliographic record
Abstract
OBJECTIVE: The aim of this qualitative study was to use a theory-based approach to understand the facilitators and barriers that impacted the implementation of the Primary Care Asthma Paediatric Pathway. DESIGN: Qualitative semistructured focus groups following a randomised cluster-controlled design. SETTING: 22 primary care practices in Alberta, Canada. PARTICIPANTS: 37 healthcare providers participated in four focus groups to discuss the barriers and facilitators of pathway implementation. INTERVENTION: An electronic medical record (EMR) based paediatric asthma pathway, online learning modules, in-person training for allied health teams in asthma education, and a clinical dashboard for patient management. MAIN OUTCOME MEASURES: Our qualitative findings are organised into three themes using the core constructs of the normalisation process theory: (1) Facilitators of implementation, (2) Barriers to implementation, and (3) Proposed mitigation strategies. RESULTS: Participants were positive about the pathway, and felt it served as a reminder of paediatric guideline-based asthma management, and an EMR-based targeted collection of tools and resources. Barriers included a low priority of paediatric asthma due to few children with asthma in their practices. The pathway was not integrated into clinic flow and there was not a specific process to ensure the pathway was used. Sites without project champions also struggled more with implementation. Despite these barriers, clinicians identified mitigation strategies to improve uptake including developing a reminder system within the EMR and creating a workflow that incorporated the pathway. CONCLUSION: (an ongoing plan for sustainability) there may have been greater uptake of the pathway. TRIAL REGISTRATION NUMBER: This study was registered at clinicaltrials.gov on 25 June 2015; the registration number is: NCT02481037, https://clinicaltrials.gov/ct2/show/NCT02481037?term=andrew+cave&cond=Asthma+in+Children&cntry=CA&city=Edmonton&draw=2&rank=1.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".