Family Quality of Life Among Families with a Member Diagnosed with CLD – What to Expect?
Bibliographic record
Abstract
Abstract Background and objectives. Health-related quality of life (HRQoL) is a very important outcome in patients with chronic liver disease. Thus, the present study attempts to assess the family quality of life of these patients, since it is well known that families have always represented the primary environment of most people. Matherial and methods. A sample of 30 participants with a family member who had CLD were recruited to be interviewed through the Romanian adaptation of the Family Quality of Life Survey – general version 2006 (FQOLS-2006), an evaluation tool developed in Canada with the purpose of studying families’ quality of life among. Primary caregivers completed the FQOL Survey. The data was analysed to describe population characteristics and to explore the relationship between the main domains and dimensions of QoL and the patients and caregivers characteristics. Results. The findings showed highest domain scores for Support from services and Family relationships and lowest for Support from others. Dimension scores were highest for Importance and lowest for Stability. Overall FQOL approximated average (78.5±13.4). Younger patients scored lower rates of FQOL domains. Alcohol-related liver disease led to lower rates of all the domains, except from Support from others and Leisure and Recreation activities. Patients with liver cirrhosis or liver cancer negatively influence their caregiver’s success in career. Also, families of liver cirrhosis patients reported the lowest level of satisfaction among all respondents. Conclusions. The results of this study suggest that there are some significant areas of family life highly influenced by a chronic liver disease diagnosis in one of their members.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".