Analyzing the Dimensions of the Quality of Life in Hepatitis B Patientsusing Confirmatory Factor Analysis
Bibliographic record
Abstract
BACKGROUND & OBJECTIVES: The scope of the quality of life assessment is not widespread in any time like today. Economists, social scientists and politicians look at this topic from the particular approach. The life quality in hepatitis B patients regarding the degree of its progress is considered a major concern in these patients. Thus, the aim of the study was analyzing the dimensions of the life quality of a group of people suffering from hepatitis B in Mazandaran province in 2012. METHODS: This study was done by descriptive, cross-sectional method on 210 (118 women and 92 men) hepatitis B patients that six month have passed from their diagnosis and formation of follow-up form in health centers, using access sampling method at six regions of Mazandaran province.The instruments of the study were the questionnaire of World Health Organization questionnaire (WHOQOL-BREF) and the chronic liver disease questionnaire (CLDQ). For analyzing the data from descriptive statistics and Kolmogrov-Smirnov test, one sample t-test, two stage Confirmatory factor analysis, Spss and Lisrel software has been used. RESULTS: Findings showed that the social relationship dimension with factor loading of 0.81 has the most amount of coefficient of effectiveness; physical health with factor loading of 0.72, mental health with factor loading of 0.63 and environmental health with factor loading of 0.55 have the least amount of coefficient of effectiveness in creating the general life quality of hepatitis B patients. In the quality of life in hepatitis patients, the emotional function with factor loading of 0.76 has the most coefficient of effectiveness, activity dimension with factor loading of 0.67, fatigue with factor loading of 0.47, abdominal syptoms with factor loading of 0.42 and worry with factor loading of 0.32 have the least coeficient of effectivness in making CLDQ domains of hepatit B patients. CONCLUSIONS: The general quality of life in patients had been below average and social relationship and emotional function must be properly investigated and managed in hepatitis B patients in order to improve life quality. WHOQOL-BREF and CLQD proved to be a useful instrument to assess general life quality in patients and can be helpful to find practical strategies to improving life quality in these patients.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".