Perceptions and Preferences of Patients with Terminal Lung Cancer and Family Caregivers about DNR
Bibliographic record
Abstract
BACKGROUND: Patients with terminal lung cancer and their families are challenged and stressed with the end of life discussions. Do Not Resuscitate (DNR) orders are a critical part of such discussions. OBJECTIVE: To understand the perceptions and preferences of patients with terminal lung cancer and their family caregivers around DNR discussions. . METHODS: Our quantitative component consisted of a pen-and-paper questionnaire that was followed by a 'think aloud' process to capture perceptions of participants in response to questionnaire items. Qualitative methods included content analysis and constant comparison techniques to identify, code, and categorize primary themes arising from 'think aloud' responses. RESULTS: In this pilot study, 10 patients with advanced stage lung cancer and nine family caregivers were enrolled from one tertiary cancer care centre. Three major themes and several sub-themes were identified reflecting participants' psychosocial environment, emotional responses to DNR discussions, and suggestions to improve DNR discussions. Most of the time, both patients and caregivers perceived a supportive environment within their family unit. Some patients were uncertain about their disease extent but most had entertained thoughts about prognosis and DNR status prior to having a discussion with their physician. A range of situations stimulated the DNR discussion. Most patients were uncertain about identifying the most appropriate health care provider (HCP) for DNR discussion. While participants found DNR discussions distressing, patients maintained hope in the face of accepting a terminal diagnosis. There were mixed feelings about the reversibility of a DNR decision and concerns about the care of the patients after being stated as DNR. Participants desired their HCP to be emotionally sensitive, knowledgeable, respectful, and straightforward. CONCLUSIONS: Most participants were open about their experiences with psychosocial supports and emotional reactions and made suggestions to HCP to improve DNR discussions. Further examination in larger longitudinal studies is required to validate the observations in the current study.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| 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".