Abstract

ranks will receive bonuses. In this study, we present an analysis of factors that predict for PG scores. Materials/Methods: PG scores were analyzed over a time span of 7 months including 71 patients and 1409 survey questions for an academic institution with two satellite centers. Multiple variables (i.e., age, performance status, diagnosis, treatment venue, presence of pain, concurrent chemotherapy) were analyzed for correlations with scores using the Independent T Test, Pearson Chi Square, and Fisher Exact Test. Results: 26 patients (36%) filled out all questions with scores of all 5, 16 patients (22%) had all 5s but incomplete survey, 39 patients (55%) had at least one non-5 score. 4 patients had a single non-5 score while 35 patients had multiple non-5 scores. For complete surveys, the median score was 104 (range 84 to 105), the average score was 102.5. Pain, increasing age, and treatment venue were predictive for non-5 scores. Conclusions: PG scores are becoming a vital metric as department reimbursement is tied into these scores. Patients with unsatisfactory scores tended to give non-5 scores across multiple questions, patients are seldom dissatisfied in a single area. We found several modifiable (treatment venue) and non-modifiable (older age and presence of pain) factors related to poor scores. While there is some potential methods for improving PG scores there are limitations, departments that see a disproportionate number of elderly palliative cases will likely have lower scores. Author Disclosure: A.B. Patel: None. T. LaCouture: None. K. Hunter: None. A. Tartaglia: None. G.J. Kubicek: None.

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