Factors influencing Implementation of point-of-care testing for acute respiratory infectious diseases in community pharmacies: A scoping review using the Consolidated Framework for Implementation research
Bibliographic record
Abstract
BACKGROUND: Emerging evidence suggests pharmacy-based point-of-care (POC) testing for acute respiratory infectious diseases is beneficial, but not widely implemented. A theory-informed review to understand the factors influencing service Implementation is lacking. OBJECTIVE: To examine the extent, range, and nature of research available on enablers and barriers to POC testing Implementation for infectious respiratory diseases in community pharmacies and identify their underpinning theoretical constructs using the Consolidated Framework for Implementation Research (CFIR). METHODS: Scoping review guided by the JBI Manual for Evidence Synthesis. A comprehensive search from inception to June 28th, 2022 was conducted using Medline, Embase, CINAHL, Cochrane Library, and ProQuest dissertations without date or language restriction. Eligible articles investigated barriers and/or facilitators to strep throat, influenza, C-reactive protein, and COVID-19 POC testing in community pharmacies. Two reviewers independently performed title & abstract screening, full-text screening, and data extraction. Content analysis was conducted according to a pre-established Framework and concepts were mapped to the CFIR. RESULTS: Forty-three studies were included. Most originated from the USA (n = 24; 56%) and investigated strep throat. The majority were testing/initial Implementation projects (n = 23; 54%) conducted in urban centers (n = 17; 40%). Thirty-six (84%) studies used quantitative methodology, while 6 (14%) were qualitative. Only four studies (9%) used theory to guide their inquiry. The 124 identified Implementation factors mapped onto 21 CFIR constructs, covering all 5 domains. The domain "Outer setting" (n = 35/43; 81%) was most prevalent as were the constructs "Patient needs and resources," (n = 21/43; 49%) "External policy & incentives," (n = 17/43; 40%) and "Relative advantage" (n = 17/43; 40%). CONCLUSION: A large volume of research explores factors influencing the Implementation of pharmacy-based respiratory infectious disease POC testing services, but few studies use qualitative or theory-informed methods. Knowledge of the wide range of facilitators and barriers identified can help pharmacy managers and researchers design strategies to support successful service Implementation.
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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 | 0.043 | 0.127 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.014 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".