The Impact of Social Deprivation on Orthopaedic Outpatient Satisfaction Using the Press Ganey Outpatient Medical Practice Survey
Bibliographic record
Abstract
INTRODUCTION: In orthopaedics, multiple factors (patient age, wait time, and depression) have been associated with lower Press Ganey Outpatient Medical Practice Survey (PGOMPS) patient satisfaction scores. We hypothesized that increased social deprivation is an independent predictor of lower patient satisfaction, as measured by the PGOMPS. METHODS: We retrospectively reviewed unique new outpatient orthopaedic surgery visits between January 1, 2014, and December 31, 2016, at a single tertiary academic institution. Given the high ceiling effects, satisfaction was defined a priori as achieving a score above the 33rd percentile. Social deprivation was determined using the 2015 Area Deprivation Index (ADI). Univariate and multivariable binary logistic regressions were used to detect factors associated with patient satisfaction for both the PGOMPS Total Score and Provider Sub-Score. RESULTS: Of the 4,881 included patients, the mean age was 53.3 ± 15.9 years, 59.3% were women, and mean ADI was 30.1 ± 19.2. Univariate analysis revealed a significantly decreased odds of achieving satisfaction on the Total Score for each decile increase in ADI (odds ratio [OR] 0.94; P < 0.001). Compared with the least deprived quartile, patients of the most deprived quartile were significantly less likely to report satisfaction for both the Total Score (OR 0.56; P = 0.001) and Provider Sub-Score (OR 0.63; P = 0.011). Multivariable analysis revealed that the odds of achieving satisfaction for each decile increase in ADI were 0.96 for the Total Score (P = 0.014) and 0.95 for the Provider Sub-Score (P = 0.004), independent of age, wait time, race, subspecialty, provider type, and the clinic setting. CONCLUSIONS: Increased social deprivation was an independent predictor of orthopaedic outpatient dissatisfaction on the PGOMPS. These findings should be considered when interpreting patient satisfaction scores and lend further support in an effort to improve healthcare inequalities. LEVEL OF EVIDENCE: Level III.
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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 | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".