Hope Herth Index (HHI): A Validation Study in Italian Patients with Solid and Hematological Malignancies on Active Cancer Treatment
Bibliographic record
Abstract
Aims and background Although hope is a widely used term, the experience of hope in patients with chronic or even life-threatening diseases is often disregarded due to the scarcity of carefully designed and validated assessment tools. The aim of this study was to validate the Hope Herth Index (HHI) questionnaire in the Italian population of patients with solid or hematological malignancies during active cancer treatment. Methods After the translation procedures, the psychometric properties of the Italian version of HHI were evaluated in 266 patients with non-advanced cancer cared for in four different settings. Summative scores ranged from 12–48, with a higher score denoting greater hope. Confirmative factorial analysis was performed to assess dimensionality. The test-retest reliability was assessed by means of the Lin concordance coefficient (two weeks' interval, 80 patients). Concurrent validity was assessed through the following questionnaires: Hospital Anxiety and Depression Scale (HADS), Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being (FACIT-Sp), Edmonton Symptom Assessment Scale (ESAS), and System Belief Inventory (SBI-15R). Results A total of 266 patients were enrolled. Confirmative factor analysis did not confirm the original three-factor solution, whereas a one-factor solution did perform well. Cronbach's alpha was 0.84 and the test-retest reliability was 0.64 (95% CI 0.51; 0.76). Large convergence was found with spiritual well-being as measured by the FACIT-Sp (0.69) and with anxiety-depression as measured by the HADS (inverse correlation: –0.51). Physical symptoms and religiousness were only slightly correlated, as expected. Conclusions The Italian version of HHI is a valid and reliable assessment tool – useful to initiate conversation with someone who is troubled but finds it difficult to talk – in patients with either solid or hematological malignancies on active cancer treatment during the non-advanced stages of the disease.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".