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= .043) while Native Hawaiian and Paci " c Islanders were over 3 times more likely to be satis " ed (OR 3.6; P = .013). Additionally, Medicare patients and those who were seen at community satellite clinics compared to the main University Hospital had increased odds of achieving satisfactory care (OR 1.3; P = .005 and OR 1.3; P = .002, respectively). Conclusions: Wait time, clinic location, patient race, insurance provider, and age were all shown to signi " cantly in ! uence patient-reported satisfaction. Understanding how these variables in ! uence patient satisfaction will hopefully lead to processes that improve patient satisfaction.

Level of evidence: Level 3.

Introduction In the United States healthcare system, the importance of measuring and reporting patient satisfaction scores has increased in prominence and importance over the past several decades. Through the Patient Protection and A # ordable Care Act, Medicare is enabled to make incentive payments to hospitals based on factors such as patient satisfaction with their care. The Press Ganey Outpatient Medical Practice Survey (PGOMPS) is a commonly used patient satisfaction metric in many health care systems. PGOMPS evaluates a variety of health care delivery domains, including provider performance. Much work in the literature has demonstrated that patient satisfaction metrics are very limited and are inadequate in determining the quality of care delivered to patients. In multiple medical specialties, many factors have been shown to signi " cantly impact PGOMPS scores. For example, increased patient satisfaction has been associated with factors such as the physician spending more time with their patient, advanced patient age, accessibility and ease of making appointments, and being o # ered an intervention. Lower patient satisfaction scores are associated with longer wait times, longer hospital stays, increased time for a patient to complete their survey, physician burnout, higher reported level of pain, and patient reporting experiencing anxiety/depression. Mixed results are also seen for factors such as, sex of the patient, and provider, provider and patient race, 1 ® 2 3,4 5-7 3,8 9 5,10,11 12 12 13 14,15 14 4,7,15,16 17,18 19-22 4,16,21,23,24