Inflammatory Bowel Disease Nurses in Canada: An Examination of Canadian Gastroenterology Nurses and Their Role in Inflammatory Bowel Disease Care
Bibliographic record
Abstract
BACKGROUND/OBJECTIVE: Inflammatory bowel disease (IBD) is a chronic relapsing illness primarily including Crohn disease and ulcerative colitis. The disease course often fluctuates over time, and requires maintenance therapy and acute interventions to target disease flares. IBD management requires a multidisciplinary approach, with care from physicians, nurses, dieticians, social workers and psychologists. Because nurses play a pivotal role in managing chronic disease, the aim of the present study was to assess and determine how many nurses work primarily with IBD patients in Canada. METHODS: A 29-question survey was developed using an Internet-based survey tool (www.surveymonkey.com) to investigate nursing demographics, IBD nursing roles and nursing services provided across Canada. Distribution included the Canadian Society of Gastroenterology Nurses and Associates, the Canadian Association of Gastroenterology, Progress (AbbVie Corporation, USA) and BioAdvance (Janssen Inc, USA) coordinators (via e-mail), and online availability for 15 weeks. RESULTS: Of 275 survey respondents, 98.2% were female nurses, with 68.7% employed in full-time positions. Among them, 42.5% were between 51 and 60 years of age, and 32.4% were between 41 and 50 years of age. In addition, 53.8% were diploma-prepared registered nurses, 35.3% were Baccalaureate-prepared nurses and 4.4% were Masters-prepared nurses. Almost one-half (44% [n=121]) were employed in Ontario, followed by 19.6% (n=54) in Alberta and 9.1% (n=25) in British Columbia. All provinces were represented with the exception of Nunavut and the Northwest Territories. Forty-three per cent (n=119) of nurses identified as working in endoscopy units. Of the 90% who responded as working with IBD patients, only 30% (n=79) had a primary role in IBD care. Among these 79 nurses with a primary role in IBD care, 79.7% worked with the adult population, 10.1% with the pediatric population, and 10.1% worked with both adult and pediatric patients. Their major service was an outpatient setting (67.1%). CONCLUSIONS: Survey results showed that only a small percentage of Canadian gastroenterology nurses provide clinical IBD care. Many have multiple roles and responsibilities, and provide a variety of services. The exact depth of care and service is unclear and further study is needed.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".