Performance measurement and user-centeredness in the healthcare sector: Opening the black box adapting the framework of Donabedian

11Citations
Citations of this article
99Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The framework of Donabedian is widely applied to performance assessment at the healthcare system level. Donabedian categorised the care quality measurement around three dimensions, namely structure, process, and outcomes. The first dimension concerns the inputs; the second one, the combinations of factors and inputs; the last one, the effectiveness in terms of patients' health status. Donabedian early included in the last dimension the patient satisfaction. Nevertheless, nowadays, outcomes are generally measured through hard endpoints, such as re-admissions and mortality indicators. Recently, the Patient-Reported Outcome Measures (PROMs) have been included among the outcome measures within the Donabedian framework. How to move the concept of patient-centeredness to a macro level, including the patient point of view in care quality measurement, evaluation, and improvement? This paper integrates the Donabedian structure-process-outcome framework, by incorporating in the proper dimension the patient-indicators, namely the abovementioned PROMs and Patient-Reported Experience Measures (PREMs). While PROMs are clearly measures of outcome, PREMs can be collocated in the process dimension, since they can be useful for mapping processes and care pathways, in a lean perspective, as well as in the outcome dimension, because inherently linked to outcome, and enablers of patient-centeredness.

Cite

CITATION STYLE

APA

De Rosis, S. (2024). Performance measurement and user-centeredness in the healthcare sector: Opening the black box adapting the framework of Donabedian. International Journal of Health Planning and Management, 39(4), 1172–1182. https://doi.org/10.1002/hpm.3732

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free