Perspectives of primary care providers and endoscopists about current practices, facilitators and barriers for preparation and follow-up of colonoscopy procedures: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Colonoscopy has become a common medical procedure due to increased use of colonoscopy for evaluation of symptoms, colorectal cancer screening and surveillance of people with higher risks of developing colorectal cancer. Timely access to colonoscopy is essential for diagnosis of colorectal cancer, as well as diagnosis and management of inflammatory bowel disease and gastrointestinal symptoms such as diarrhea. The purpose of this study was to obtain the perspectives of primary care providers and endoscopists about current practices, barriers and facilitators to following recommended practice for preparation and follow-up after colonoscopy. We also aimed to obtain recommendations for approaches to improve the process. METHODS: Six focus groups (two with gastroenterologists, two with surgeons who perform colonoscopies and two with primary care providers) were held between October 2015 and January 2016. Analysis was performed using inductive qualitative approaches. RESULTS: Variations and challenges in communication for continuity of care and understanding the distribution of responsibility were identified, as were perceived benefits and challenges of a central intake system for colonoscopies. Recommendations were made to improve processes including strengthening communication and information sharing. A comprehensive quality improvement plan would facilitate implementation of recommendations. CONCLUSIONS: Findings emphasize the need for improved patient-focused information resources for each step of the colonoscopy process and improved communication among practitioners. The findings apply to other services requiring collaboration among patients, primary care providers, and medical specialists.
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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 | 0.017 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".