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Quantifying Frailty in Older People at an Italian Local Health Unit: A Proposal Based on Partially Ordered Sets

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  • Margherita Silan

    (University of Padua)

  • Giulio Caperna

    (University of Padua)

  • Giovanna Boccuzzo

    (University of Padua)

Abstract

Population aging, which is common in developed countries, highlights issues related to the health and social assistance of frail individuals. The Italian Chronic Disease Program launched by the Ministry of Health proposes the implementation of tools that stratify the population based on health and care needs and enhances the integration of existing administrative health data flows. This work has its roots in the need to identify frail individuals conveyed by an Italian Local Health Unit (LHU) of the Veneto region and organize an efficient service of care and prevention. We propose an indicator of frailty, computed using the poset approach, comprising only eight variables available in administrative health data at the LHU level. The proposed indicator associates a value of frailty between 0 and 1 to every individual of the population aged 65 years and older, thereby allowing stratification of the population by the risk level. By validating and analyzing the frailty indicator, we show that this approach provides an effective stratification of older people.

Suggested Citation

  • Margherita Silan & Giulio Caperna & Giovanna Boccuzzo, 2019. "Quantifying Frailty in Older People at an Italian Local Health Unit: A Proposal Based on Partially Ordered Sets," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 757-782, December.
  • Handle: RePEc:spr:soinre:v:146:y:2019:i:3:d:10.1007_s11205-019-02142-8
    DOI: 10.1007/s11205-019-02142-8
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    References listed on IDEAS

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    1. Tennstedt, Sharon L. & McKinlay, John B., 1994. "Frailty and its consequences: Introduction," Social Science & Medicine, Elsevier, vol. 38(7), pages 863-865, April.
    2. Marco Fattore, 2016. "Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 835-858, September.
    3. Giulio Caperna & Giovanna Boccuzzo, 2018. "Use of Poset Theory with Big Datasets: A New Proposal Applied to the Analysis of Life Satisfaction in Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1071-1088, April.
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