Psychometric properties of Farsi version of Demoralization Scale-II (DS-II) in Iranian cancer patients
Bibliographic record
Abstract
OBJECTIVES: Demoralization, a prevalent form of psychological distress, significantly impacts patient care, particularly in terminally ill individuals, notably those diagnosed with cancer. This study aimed to assess psychometric properties of Farsi version of Demoralization Scale-II (DS-II) in Iranian cancer patients. METHODS: This study was descriptive-analytical cross-sectional research. The statistical population was cancer patients who sought treatment at Imam Khomeini Hospital in Tehran throughout the 2021-2022. In the initial phase of the study, a preliminary sample comprising 200 patients was carefully selected through convenience sampling. After applying these criteria, 160 patients satisfactorily completed the questionnaires, forming the final study sample. They completed series of questionnaires that included sociodemographic information, DS-II, Scale of Happiness of the Memorial University of Newfoundland, and Beck Depression Inventory (BDI-II). The evaluation included exploratory factor analysis, confirmatory factor analysis (CFA), assessments of convergent validity, and internal consistency reliability. RESULTS: < 0.05) were found between the DS-II and the Beck Depression and MUNSH Happiness scales. The internal consistency of the DS-II, as measured by Cronbach's alpha, yielded values of 0.91 for the meaning and purpose factor, 0.89 for the coping ability factor, and 0.92 for the total score. SIGNIFICANCE OF RESULTS: The Farsi version of DS-II has demonstrated reliability and validity in evaluating demoralization among cancer patients in Iran. This tool can offer valuable insights into the psychological problems of terminally ill patients. Further research opportunities may include conducting longitudinal studies to track demoralization over time and exploring the impact of demoralization on the overall well-being and care of terminally ill patients in Iranian society.
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 | 0.001 | 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".