Comparison of Outpatient Satisfaction Measures Across Hospitals Built to a Thai Standard Design
Bibliographic record
Abstract
This research reports on the effect of the ‘built environment’ on levels of comfort experienced by users of a hospital outpatient department (OPD). The focus is on Thai community hospitals that are built to a standard design. It was expected that a standard design would result in similar profiles of user satisfaction. The method classified environmental features as ambient, architectural, interior design, and outdoor. Each of these macro factors were divided into their contributing sub-factors. A survey was conducted to assess OPD users’ perceptions of the environment. Responses were analysed using the Analytic Hierarchy Process. Results indicated no common pattern at the macro level. However, when contributing factors are redefined as ‘distress’ and ‘destress’ factors, a pattern of user perceptions across the hospitals is evident. Applying Herzberg’s model of job satisfaction to the observed results a clear pattern emerges. The results of this research provide practical advice, from a user perspective, for those charged with design of the physical structure of outpatient settings.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".