European value-based healthcare benchmarking: moving from theory to practice.
| Autor: | García-Lorenzo, Borja, Gorostiza, Ania, Alayo, Itxaso, Zas, Susana Castelo, Baena, Patricia Cobos, Camiña, Inés Gallego, Narbaiza, Begoña Izaguirre, Mallabiabarrena, Gaizka, Ustarroz-Aguirre, Iker, Rigabert, Alina, Balzi, William, Maltoni, Roberta, Massa, Ilaria, López, Isabel Álvarez, Lobera, Sara Arévalo, Esteban, Mónica, Calleja, Marta Fernández, Mediavilla, Jenifer Gómez, Fernández, Manuela, Hitar, Manuel del Oro |
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| Předmět: |
RESEARCH
STATISTICAL significance HEALTH facilities HUMAN research subjects KEY performance indicators (Management) LUNG tumors HEALTH outcome assessment MEDICAL care costs REGRESSION analysis VALUE-based healthcare BENCHMARKING (Management) INFORMED consent (Medical law) QUESTIONNAIRES CLINICAL medicine DESCRIPTIVE statistics RESEARCH funding SOCIODEMOGRAPHIC factors ELECTRONIC health records CLUSTER analysis (Statistics) BREAST tumors LONGITUDINAL method DELPHI method |
| Zdroj: | European Journal of Public Health; Feb2024, Vol. 34 Issue 1, p44-51, 8p |
| Abstrakt: | Background Value-based healthcare (VBHC) is a conceptual framework to improve the value of healthcare by health, care-process and economic outcomes. Benchmarking should provide useful information to identify best practices and therefore a good instrument to improve quality across healthcare organizations. This paper aims to provide a proof-of-concept of the feasibility of an international VBHC benchmarking in breast cancer, with the ultimate aim of being used to share best practices with a data-driven approach among healthcare organizations from different health systems. Methods In the VOICE community—a European healthcare centre cluster intending to address VBHC from theory to practice—information on patient-reported, clinical-related, care-process-related and economic-related outcomes were collected. Patient archetypes were identified using clustering techniques and an indicator set following a modified Delphi was defined. Benchmarking was performed using regression models controlling for patient archetypes and socio-demographic characteristics. Results Six hundred and ninety patients from six healthcare centres were included. A set of 50 health, care-process and economic indicators was distilled for benchmarking. Statistically significant differences across sites have been found in most health outcomes, half of the care-process indicators, and all economic indicators, allowing for identifying the best and worst performers. Conclusions To the best of our knowledge, this is the first international experience providing evidence to be used with VBHC benchmarking intention. Differences in indicators across healthcare centres should be used to identify best practices and improve healthcare quality following further research. Applied methods might help to move forward with VBHC benchmarking in other medical conditions. [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
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