Litcius/Paper detail

The impact of Maryland all-payer model on patient satisfaction of care: A one-way analysis of variance (ANOVA)

Richard Blanco-Topping

2020International Journal of Healthcare Management16 citationsDOI

Abstract

The purpose of this study was to assess if patient satisfaction, as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) significantly differ by year in the Maryland Global Payment implementation cycle. Data on inpatient ratings of hospital services was acquired from The Centers for Medicare and Medicaid Services (CMS). A non-experimental correlational design was used to examine the outcome and predictor variables during three points in time. A one-way analysis of variance (ANOVA) analyzed patient satisfaction scores of nine variables on the HCAHPS survey. The dataset included patient’s average satisfaction scores of hospitals by states. Maryland’s hospital data were extracted and manipulated with a pivot table from the HCAHPS original dataset for analysis. Communication about medicines was the only statistically significant difference observed during the study (F(2, 123) = 3.592, p = .030). The findings of this study can encourage healthcare providers and policymakers to place a high value on the creation and implementation of payment models to improve patient perception of care and, consequently, the quality of healthcare services.

Topics & Concepts

MedicaidPaymentPatient satisfactionAnalysis of varianceHealth careVariance (accounting)Quality (philosophy)Family medicineMedicineRepeated measures designPsychologyNursingStatisticsBusinessPhilosophyEpistemologyMathematicsFinanceAccountingEconomic growthEconomicsInternal medicinePatient Satisfaction in HealthcareHealthcare Policy and ManagementPrimary Care and Health Outcomes