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Steering by their own lights: Why regulators across Europe use different indicators to measure healthcare quality

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  • Beaussier, Anne-Laure
  • Demeritt, David
  • Griffiths, Alex
  • Rothstein, Henry

Abstract

Despite widespread faith that quality indicators are key to healthcare improvement and regulation, surprisingly little is known about what is actually measured in different countries, nor how, nor why. To address that gap, this article compares the official indicator sets--comprising some 1100 quality measures-- used by statutory hospital regulators in England, Germany, France, and the Netherlands. The findings demonstrate that those countries’ regulators strike very different balances in: the dimensions of quality they assess (e.g. between safety, effectiveness, and patient-centredness); the hospital activities they target (e.g. between clinical and non-clinical activities and management); and the ‘Donabedian’ measurement style of their indicators (between structure, process and outcome indicators). We argue that these contrasts reflect: i) how the distinctive problems facing each country’s healthcare system create different ‘demand-side’ pressures on what national indicator sets measure; and ii) how the configuration of national healthcare systems and governance traditions create ‘supply-side’ constraints on the kinds of data that regulators can use for indicator construction. Our analysis suggests fundamental differences in the meaning of quality and its measurement across countries that are likely to impede international efforts to benchmark quality and identify best practice.

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  • Beaussier, Anne-Laure & Demeritt, David & Griffiths, Alex & Rothstein, Henry, 2020. "Steering by their own lights: Why regulators across Europe use different indicators to measure healthcare quality," Health Policy, Elsevier, vol. 124(5), pages 501-510.
  • Handle: RePEc:eee:hepoli:v:124:y:2020:i:5:p:501-510
    DOI: 10.1016/j.healthpol.2020.02.012
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    2. Vidoli, F.; & Fusco, E.; & Pignataro, G.; & Guccio, C.;, 2023. "Multi-directional Robust Benefit of the Doubt model: a comprehensive measure for the quality of health care in OECD countries," Health, Econometrics and Data Group (HEDG) Working Papers 23/14, HEDG, c/o Department of Economics, University of York.
    3. Vidoli, F. & Fusco, E. & Pignataro, G. & Guccio, C., 2024. "Multi-directional Robust Benefit of the Doubt model: An application to the measurement of the quality of acute care services in OECD countries," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    4. Pereira, Miguel Alves & Marques, Rui Cunha, 2022. "Is sunshine regulation the new prescription to brighten up public hospitals in Portugal?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Jamieson Gilmore, Kendall & Corazza, Ilaria & Coletta, Lucrezia & Allin, Sara, 2023. "The uses of Patient Reported Experience Measures in health systems: A systematic narrative review," Health Policy, Elsevier, vol. 128(C), pages 1-10.
    6. Tetiana Vasylieva & Beata Gavurova & Tetiana Dotsenko & Svitlana Bilan & Marcin Strzelec & Samer Khouri, 2023. "The Behavioral and Social Dimension of the Public Health System of European Countries: Descriptive, Canonical, and Factor Analysis," IJERPH, MDPI, vol. 20(5), pages 1-35, March.
    7. Klein, Silvia & Rauh, Johannes & Pauletzki, Jürgen & Klakow-Franck, Regina & Zander-Jentsch, Britta, 2023. "Introduction of quality indicators in German hospital capacity planning – Do results show an improvement in quality?," Health Policy, Elsevier, vol. 133(C).
    8. Johannes Hengelbrock & Johannes Rauh & Jona Cederbaum & Maximilian Kähler & Michael Höhle, 2023. "Hospital profiling using Bayesian decision theory," Biometrics, The International Biometric Society, vol. 79(3), pages 2757-2769, September.
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