Fighting for Life: A Qualitative Analysis of the Process of Psychotherapy-Assisted Self-Help in Patients With Metastatic Cancer
Bibliographic record
Abstract
This exploratory study is an attempt to define psychological attributes related to longer survival in patients with metastatic cancers. Previous published analyses have been limited in two ways. First, they have almost always been carried out on patients not receiving therapy; we have followed people receiving a year of group therapy, on the assumption that if mental qualities are to affect cancer progression, substantial mental change would be needed to alter the established balance between the cancer cells and host regulatory mechanisms. Second, the methods typically used to characterize patients' psychology have been self-report inventories, and many decades of research with such methods have largely failed to produce a consensus on what mental qualities, if any, promote survival. By contrast, we have used qualitative methods, allowing a much more in-depth analysis of the patients, without preliminary assumptions as to what would be important. The present report describes the results of a detailed qualitative analysis of data collected from 22 participants over a year of weekly group therapy. Using grounded methods, categories were derived from the extensive verbal data (comprising patients' written homework and therapists' notes), and linked in a model of change. By applying ratings to some of these categories, and combining these ratings, we derived a quantitative estimate of patients' "involvement in self-help." Rankings on degree of involvement corresponded quite closely with the quality of patients' experience and with their survival duration. There was a great range in degree of involvement, and various subgroupings could be discerned. Nine of the participants were classed as "highly involved," meaning that they devoted regular daily time, often several hours, to such self-help strategies as relaxation, mental imaging, meditation, cognitive monitoring and journalling. All but 1 of these patients enjoyed a good quality of life and lived at least 2 years. Two of them have remained in complete remission for 7 years. At the other end of the scale, 8 patients showed little application to the work, being either unconvinced that it would help them or hampered by psychological problems such as low self-esteem. None of these was rated as having a good quality of life, and only 1 lived more than 2 years, although, as a group, their medical prognoses were no more unfavorable at the onset of therapy than for the "high involvement" group. The different subgroups and aspects of the model are illustrated by representative quotations.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".