Health Care Communication Issues in Multiple Sclerosis: An Interpretive Description
Bibliographic record
Abstract
Communication between persons with chronic illness and their professional health care providers is a critical element of appropriate health care. As the field of health care communication evolves, it becomes apparent that aspects of the illness experience shared by those affected by specific diseases might be a source of particular insight into what constitutes effective or appropriate communications. This interpretive description of health care communication issues in multiple sclerosis was based on qualitative secondary analysis of a set of in-depth interviews and focus groups conducted with 12 persons with longstanding MS experience. Analysis of their accounts illustrates an intricate interplay between common features within the disease trajectory and the communications that are perceived as helpful or unhelpful to living well with this chronic illness. From the analysis of these findings, the authors draw interpretations regarding what might be considered communication competencies for those who care for patients with this disease.
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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 | 0.019 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.011 | 0.029 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| 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".