Instrument Refinement: The Patient’s Perception of Life on Hemodialysis Scale
Bibliographic record
Abstract
The objective of this study is to refine the Patient’s Perception of Hemodialysis Scale and data quality and refine the Patient’s Perception of Life on Hemodialysis Scale (PPHS). Collecting data from a convenient sample ( N = 236), data were collected and a cross-sectional design survey design was used. Item inclusion was based on the item’s theoretical underpinning, examination of data quality, findings from a multi-trait/multi-item correlation matrix, and criteria for item and scale characteristics. Data indicators were close to normal in terms of distribution. High and low statistics suggest that the entire scope of the characteristic being measured were experienced. All criteria related to this examination supported the inclusion/exclusion of remaining items and subscales. Subscales are able to measure the main concepts. Findings from this research have been analyzed, and the PPHS now includes five subscales (36 items) and is deemed a valid indicator of the hemodialysis patients’ perceptions of life. Nephrology nurses will be able to assess the patient’s illness and treatment experience, their perception of formal social supports, adjustment to life on hemodialysis, and design interventions.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".