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Articles

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

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Pages 1397-1404 | Received 18 Dec 2019, Accepted 17 Apr 2020, Published online: 07 May 2020
 

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.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Richard Blanco-Topping

Richard Blanco-Topping is the coordinator of the undergraduate Healthcare Administration Specialization program and Assistant Professor at Oakwood University.

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