The Development of a Conceptual Model for Evaluating Dental Patient Satisfaction
Bibliographic record
Abstract
The purpose of this study was to identify levels and predictors of patient satisfaction and develop a conceptual model for dental patient satisfaction in military treatment facilities. Respondents completed 658,443 surveys during 17 fiscal quarters, beginning with the fourth quarter of 2000. The final data set contained 309,261 surveys, with no missing data. Principal component factor analysis was used for data reduction and hierarchical multiple linear regression to assess the predictive effects of the dependent variables on the two independent variables: (1) overall satisfaction with today's visit and (2) overall satisfaction with the clinic. On a 7-point, bipolar adjective rating scale, patients' mean score was 6.53 regarding satisfaction with visit, suggesting that patients are highly satisfied. Patients' beliefs about care received and environment of care were the most important satisfaction attributes. These findings are useful in educating providers about the relationship of consumer satisfaction with the interpersonal experience.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".