Determination of problems experienced during the <scp>COVID</scp>‐19 pandemic by individuals receiving hemodialysis treatment
Bibliographic record
Abstract
BACKGROUND: Patients receiving hemodialysis treatment are among the risk groups during the COVID-19 pandemic. They must cope with many factors simultaneously like anxiety about being ill, social isolation, inadequate information about protective precautions, and the need to attend regular treatment. OBJECTIVES: This study was performed with the aim of determining problems experienced by individuals receiving hemodialysis treatment during the pandemic. DESIGN: This was a descriptive and cross-sectional type study. PARTICIPANTS: The research included 234 patients receiving chronic hemodialysis treatment. MEASUREMENTS: For collection of data in the research, a patient descriptive information form and COVID-19 phobia scale (CP19-S) scale were used. RESULTS: Patients receiving hemodialysis treatment were determined to have high levels of compliance with individual precautions required during the pandemic. Of patients, 87.6% were determined to experience concern about bringing infection from the dialysis unit to family members. The mean total points for CP19-S were 59.80 ± 14.49. Patients who were female, had low educational level, were not employed, had heart disease in addition to kidney failure, with hemodialysis age from 6 to 8 years, who did not want to go to the dialysis center and had not received education about the pandemic (p < 0.001) were identified to have high phobia at statistically significant levels. CONCLUSIONS: Changes occurring in normal life and to hemodialysis treatment during the pandemic cause concern and anxiety in many patients. In this process, providing patients with education about the pandemic and protective methods is very important.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".