MétaCan
Menu
Back to cohort
Record W4399045060 · doi:10.1136/bmjoq-2023-002686

Barriers and facilitators of implementing a multicomponent intervention to improve faecal immunochemical test (FIT) colorectal cancer screening in primary care clinics, Alberta

2024· article· en· W4399045060 on OpenAlexafffundabout
Kamala Adhikari, Sharon S. Mah, Michelle Patterson, Gary Teare, Kimberly Manalili

Bibliographic record

VenueBMJ Open Quality · 2024
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of CalgaryAlberta Health Services
FundersAlberta HealthAlberta Health Services
KeywordsImplementation researchMedicinePsychological interventionIntervention (counseling)Test (biology)NursingFamily medicineWorkflowQuality managementMedical education

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Colorectal cancer (CRC) screening is effective at reducing the incidence and mortality of CRC. To address suboptimal CRC screening rates, a faecal immunochemical test (FIT) multicomponent intervention was piloted in four urban multidisciplinary primary care clinics in Alberta from September 2021 to April 2022. The interventions included in-clinic distribution of FIT kits, along with FIT-related patient education and follow-up. This study explored barriers and facilitators to implementing the intervention in four primary clinics using the Consolidated Framework for Implementation Research (CFIR). METHODS: In-depth qualitative semistructured key informant interviews, guided by the CFIR, were conducted with 14 participants to understand barriers and facilitators of the FIT intervention implementation. Key informants were physicians, quality improvement facilitators and clinical staff. Interviews were analysed following an inductive-deductive approach. Implementation barriers and facilitators were organised and interpreted using the CFIR to facilitate the identification of strategies to mitigate barriers and leverage facilitators for implementation at the clinic level. RESULTS: Key implementation facilitators reported by participants were patient perceived needs being met; the clinics' readiness to implement FIT, including staff's motivation, skills, knowledge, and resources to implement; intervention characteristics-evidence-based, adaptable and compatible with existing workflows; regular staff communications; and use of the electronic medical record (EMR) system. Key barriers to implementation were patient's limited awareness of FIT screening for CRC and discomfort with stool sample collection; the impacts of COVID-19 (patients missed appointment, staff coordination and communication were limited due to remote work); and limited clinic capacity (knowledge and skills using EMR system, staff turnover and shortage). CONCLUSION: Findings from the study facilitate the refinement and adaption of future FIT intervention implementation. Future research will explore implementation barriers and facilitators in rural settings and from patients' perspectives to enhance the spread and scale of the intervention.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.494
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0000.001
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 head0.052
GPT teacher head0.435
Teacher spread0.383 · 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 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".

Quick stats

Citations2
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueBMJ Open QualitySame topicColorectal Cancer Screening and DetectionFrench-language works237,207