What is the Perceived Role of the Dietitian Amongst People with Cystic Fibrosis? Results of an International survey
Bibliographic record
Abstract
Cystic fibrosis (CF) is a chronic condition requiring continued input from the CF dietitian as an integral part of the CF multidisciplinary team. In recent years, the longer life expectancy experienced by people with CF (PwCF) means that nutrition advice and therapy are evolving from a focus on nutrition support to prevention and management of comorbidities. Little has been reported regarding the perceived role of the CF dietitian amongst PwCF. We report the responses to 11 questions that were part of a larger international survey distributed to members of national CF charities in 2018-2019. These questions evaluated PwCFs’ perspectives on (i) the importance of the CF diet, (ii) how often PwCF obtain dietary/nutritional advice from their dietitian, (iii) the perceived reliability of information given by the dietitian, (iv) other sources of CF information and their perceived reliability, and (v) how CF nutrition/diet, as well as CF-related diabetes, ranked as research priorities. There were 295 respondents from 13 countries. Almost half of the respondents (46.8%) contacted their CF dietitian on a frequent/more regular basis, compared to medical/scientific journals/medical/scientific search engines. The CF dietitian was considered a reliable source of information, as 84% of the respondents indicated that the information provided was very/generally reliable. At a time when CF care and expectations are changing rapidly, PwCF are in need of trusted and reliable information to make positive changes in lifestyle and habits. Dietitians working with PwCF should appreciate the pivotal and valued role they perform as purveyors of robust evidence-based information to this chronic disease population.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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".