IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v160y2022i2d10.1007_s11205-020-02512-7.html
   My bibliography  Save this article

Construction of a Frailty Indicator with Partially Ordered Sets: A Multiple-Outcome Proposal Based on Administrative Healthcare Data

Author

Listed:
  • Margherita Silan

    (Department of Statistical Science)

  • Giada Signorin

    (Department of Statistical Science)

  • Elisa Ferracin

    (Regional Health Service ASL TO3)

  • Elisabetta Listorti

    (Regional Health Service ASL TO3
    Bocconi University)

  • Teresa Spadea

    (Regional Health Service ASL TO3)

  • Giuseppe Costa

    (Regional Health Service ASL TO3)

  • Giovanna Boccuzzo

    (Department of Statistical Science)

Abstract

Given the progressive aging of Italian and European populations, the number of cases with chronic diseases is steeply increasing. This calls for new strategies for health resource management and the implementation of prevention policies. Among chronic patients, frail subjects have special and wider care requirements, along with an increased risk of adverse health outcomes. Thus, their identification is an important step for the Italian National Program for Chronic Diseases. This study aims at constructing an indicator that measures the frailty level of individuals in the population aged over 65 y using administrative healthcare data-flows of the Piedmont region. Following the multidimensional nature of frailty, we adopted a multiple-outcome approach in our proposal. This was done by considering the capacity to predict six unfavorable outcomes: death, urgent unplanned hospitalization, access to the emergency room with red code, avoidable hospitalization, hip fracture, and disability. We identified a parsimonious set of seven explanatory variables that can simultaneously predict the six outcomes we considered. We then assembled them into a unique frailty indicator through the use of a partially ordered set (poset) theory. Our indicator performed well with respect to all the outcomes and was able to describe several individual characteristics that are not directly considered in the computation of the indicator. Thanks to its parsimony and to the use of administrative healthcare data, our indicator allows all the stakeholders involved in the healthcare process, such as Italian Local Health Units, general practitioners, and regional managers, to use it to target frail individuals with better comprehensive healthcare actions.

Suggested Citation

  • Margherita Silan & Giada Signorin & Elisa Ferracin & Elisabetta Listorti & Teresa Spadea & Giuseppe Costa & Giovanna Boccuzzo, 2022. "Construction of a Frailty Indicator with Partially Ordered Sets: A Multiple-Outcome Proposal Based on Administrative Healthcare Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 989-1017, April.
    • Handle: RePEc:spr:soinre:v:160:y:2022:i:2:d:10.1007_s11205-020-02512-7
    DOI: 10.1007/s11205-020-02512-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-020-02512-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11205-020-02512-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sergi Trias-Llimós & Magali Barbieri & Viviana Egidi & Luisa Frova & Francesco Grippo & France Meslé & Marilena Pappagallo & Aline Désesquelles, 2023. "Frailty at death: An examination of multiple causes of death in four low mortality countries in 2017," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(2), pages 13-30.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Flavio Comim, 2021. "A Poset-Generalizability Method for Human Development Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 1179-1198, December.
    3. Comim, Flavio & Hirai, Tadashi, 2022. "Sustainability and Human Development Indicators: A Poset Analysis," Ecological Economics, Elsevier, vol. 198(C).
    4. Leonardo Salvatore Alaimo & Alberto Arcagni & Marco Fattore & Filomena Maggino, 2021. "Synthesis of Multi-indicator System Over Time: A Poset-based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 77-99, August.
    5. Alaimo, Leonardo Salvatore & Ivaldi, Enrico & Landi, Stefano & Maggino, Filomena, 2022. "Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    6. Marco Fattore & Alberto Arcagni, 2018. "A Reduced Posetic Approach to the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1053-1070, April.
    7. Anh Thu Quang Pham & Pundarik Mukhopadhaya, 2022. "Multidimensionl Poverty and The Role of Social Capital in Poverty Alleviation Among Ethnic Groups in Rural Vietnam: A Multilevel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 281-317, January.
    8. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.
    9. Arcagni, Alberto & Cavalli, Laura & Fattore, Marco, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," FEEM Working Papers 309036, Fondazione Eni Enrico Mattei (FEEM).
    10. Paola Annoni & Nicholas Charron, 2019. "Measurement Assessment in Cross-Country Comparative Analysis: Rasch Modelling on a Measure of Institutional Quality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 31-60, January.
    11. Vito Peragine & Maria G. Pittau & Ernesto Savaglio & Stefano Vannucci, 2021. "On multidimensional poverty rankings of binary attributes," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(2), pages 248-274, April.
    12. Marco Fattore & Filomena Maggino, 2018. "Some Considerations on Well-Being Evaluation Procedures, Taking the Cue from “Exploring Multidimensional Well-Being in Switzerland: Comparing Three Synthesizing Approaches”," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 83-91, May.
    13. Shaye Palagi & Amy Javernick-Will, 2020. "Pathways to Livable Relocation Settlements Following Disaster," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    14. Borsi, Mihály Tamás & Valerio Mendoza, Octasiano Miguel & Comim, Flavio, 2022. "Measuring the provincial supply of higher education institutions in China," China Economic Review, Elsevier, vol. 71(C).
    15. Alberto Arcagni & Elisa Barbiano di Belgiojoso & Marco Fattore & Stefania M. L. Rimoldi, 2019. "Multidimensional Analysis of Deprivation and Fragility Patterns of Migrants in Lombardy, Using Partially Ordered Sets and Self-Organizing Maps," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 551-579, January.
    16. Di Zhou & Kuangyuan Cai & Shaojun Zhong, 2021. "A Statistical Measurement of Poverty Reduction Effectiveness: Using China as an Example," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 39-64, January.
    17. Norat Roig-Tierno & Alberto Arcagni, 2021. "Sustainable Development: Actual Trends on Synthetic Indicators, Non-aggregative and Configurational Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 1-7, August.
    18. Héctor Pifarré i Arolas & Christian Dudel, 2019. "An Ordinal Measure of Population Health," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 1219-1243, June.
    19. Tugce Beycan & B. P. Vani & Rainer Bruggemann & Christian Suter, 2019. "Ranking Karnataka Districts by the Multidimensional Poverty Index (MPI) and by Applying Simple Elements of Partial Order Theory," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 173-200, May.
    20. Paola Conigliaro, 2022. "Subjective Well-Being in Italian Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 751-781, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:160:y:2022:i:2:d:10.1007_s11205-020-02512-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.