Nursing Support for Family Members of Critically Ill Adults
Bibliographic record
Abstract
Researchers have identified the needs of family members of critically ill adults, explored their experiences, and investigated interventions. To address a gap in the theoretical knowledge about how nurses help these individuals, the authors developed a grounded theory of nursing support from the perspective of family members. Results indicated that family members were initiated into a cycle of Work to meet perceived responsibilities to Get Through the experience. Supportive nurses engaged in the process of Lightening Our Load to mitigate the negative effects of the critical care experience on family members by Engaging With Us, Sustaining Us, and Disengaging From Us. No previous research has yet identified the Work of these family members, the steps they take to gain nurses' respect, and the significance to them of nurses' Welcoming us and Saying goodbye. This theory extends the understanding of nursing support beyond current knowledge of family needs, caring, comfort, supportive care, and social support.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.027 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".