Is Health Related Quality Of Life of people living with chronic conditions related to patient satisfaction with care?
Bibliographic record
Abstract
UNLABELLED: More than 50% of people over the age of 30 live with at least one chronic condition that influences their Health Related Quality of Life (HRQOL). No uniform framework for conceptualization of HRQOL is currently recognized, although several important domains have been identified. Recently, satisfaction with care has been suggested as an important component to be included in the measures of HRQOL. PURPOSE: The objective of this review is to explore what is known from the literature about the relationship between satisfaction with care and HRQOL in patients living with chronic conditions. METHODS: A scoping review methodology guided this work. RESULTS: The results support the observation of a positive correlation between satisfaction with care and HRQOL; however, the directionality of the relationships could not be established. Although change in the way we organize and provide treatment might not be expected to lead to a significant change in functional performance of the individuals, we can potentially affect people's perception of disability, and improve their control and coping with the illness. CONCLUSIONS: The review highlights the importance of using appropriate and psychometrically sound measures when assessing HRQOL. Studies are needed that explore longitudinally the relationships between the care experiences and HRQOL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".