Health-related expectations of the chronically critically ill: a multi-perspective qualitative study
Bibliographic record
Abstract
BACKGROUND: Those who survive critical illness only to become chronically critically ill (CCI) experience a high symptom burden, repeat episodes of illness exacerbation, communication barriers, and poor health outcomes. Yet, it is unclear how CCI individuals and their family understand their health and the importance of prognostic information following hospitalization. The research purpose was to examine expectations about health and disease prognosis of CCI residents in long-term care from the perspectives of the CCI themselves and their family members, as well as to describe healthcare provider (HCP) interpretations of, and reactions to, these health-related expectations. METHODS: In this qualitative interpretive descriptive study, conducted in British Columbia, Canada, 38 semi-structured interviews were conducted (6 CCI residents, 11 family members, and 21 HCPs) and inductively analyzed using thematic and constant comparative techniques. RESULTS: There was divergence in CCI resident, family and HCP expectations about health and the importance of disease prognosis, which contributed to conflict. CCI residents and family viewed conflict with HCPs in relation to their day-to-day care needs, while HCPs viewed this as arising from the unrealistically high expectations of residents and family. The CCI residents and family focussed on the importance of maintaining hope, and the HCPs highlighted the complexity of end-of-life decisions in conjunction with the high expectations and hopes of family. CONCLUSIONS: The emotional and ongoing process of formulating health-related expectations points to the need for future research to inform the development and/or adapting of existing communication, psychosocial and health services interventions to ease the burden experienced by those who are CCI.
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| 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".