Meaning Making as a Central Mechanism of Dignity Therapy for Older Adults With Cancer
Bibliographic record
Abstract
Abstract Nearly 500,000 older Americans die a cancer-related death each year (National Vital Statistics Report, 2018). Following a diagnosis of a serious illness like cancer, maintaining a sense of dignity is central to a patient’s wellbeing. Dignity Therapy (DT) was recently introduced as an intervention to enhance dignity for terminally ill patients (Chochinov et al., 2005). This therapy provides patients opportunities to foster a sense of dignity though making meaning of their lives (Hack et al., 2010). To date, whether meaning-making actually occurs as a central mechanism of effective DT has not been tested. The current study investigates (i) how often and in what forms meaning-making occurs during DT, and (ii) how patients’ baseline feelings of dignity relate to meaning-making during DT. Participants were 25 male and female cancer outpatients (M age = 63.08; SD = 5.72). They completed the Patient Dignity Inventory (Chochinov et al., 2008) and then participated in Dignity Therapy with a trained provider. Sessions were audio recorded, transcribed, and reliably content-analyzed for meaning-making using an established coding scheme (Park & Folkman, 1997). Content-analysis revealed that all patients made meaning of past life events at least once (range: 1-12 occurrences). Multiple forms of meaning-making emerged, with Finding Benefit and Personal Growth most common. Patients reporting more dignity-related distress prior to DT showed greater meaning-making during the DT session (r = .46, p < 0.05). This study provides foundational evidence that meaning-making is a key mechanism of Dignity Therapy, helping older adults with cancer enhance dignity at end-of-life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".