IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v98y2025ics0038012125000084.html
   My bibliography  Save this article

The PLS-PM approach to analyze the quality of health services over time

Author

Listed:
  • Crocetta, Corrado
  • Antonucci, Laura
  • Cataldo, Rosanna
  • Grassia, Maria Gabriella
  • Marino, Marina
  • Mazza, Rocco

Abstract

The study of the quality of services provided in the health sector plays a fundamental role in applied statistical studies. The work focuses on using Structural Equation Modeling Path Modeling as a valuable way to analyze longitudinal data relating to the level of the satisfaction expressed with respect to a selection of public and private operators. The aim of the study is to develop an experimental model to measure the level of satisfaction with the services provided by an external organization over time. In the work, the data used result from a survey on the services offered by Sanita’ Service s.r.l. at the ASL (local health organization) agencies in Foggia.

Suggested Citation

  • Crocetta, Corrado & Antonucci, Laura & Cataldo, Rosanna & Grassia, Maria Gabriella & Marino, Marina & Mazza, Rocco, 2025. "The PLS-PM approach to analyze the quality of health services over time," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
  • Handle: RePEc:eee:soceps:v:98:y:2025:i:c:s0038012125000084
    DOI: 10.1016/j.seps.2025.102159
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012125000084
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2025.102159?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Giorgio E. Montanari & Silvia Pandolfi, 2018. "Evaluation of long-term health care services through a latent Markov model with covariates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(1), pages 151-173, March.
    2. Wold, Herman, 1974. "Causal flows with latent variables : Partings of the ways in the light of NIPALS modelling," European Economic Review, Elsevier, vol. 5(1), pages 67-86, June.
    3. Rosanna Cataldo & Maria Gabriella Grassia & Natale Carlo Lauro & Marina Marino, 2017. "Developments in Higher-Order PLS-PM for the building of a system of Composite Indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 657-674, March.
    4. Elisa Villani & Luciano Greco & Nelson Phillips, 2017. "Understanding Value Creation in Public-Private Partnerships: A Comparative Case Study," Journal of Management Studies, Wiley Blackwell, vol. 54(6), pages 876-905, September.
    5. Rima Žitkienė & Ugnė Dudė, 2018. "The impact of outsourcing implementation on service companies," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(1), pages 342-355, September.
    6. Elena Pirani & Silvana Salvini, 2012. "Place of living and health inequality: a study for elderly Italians," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(2), pages 211-226, June.
    7. Elorza, María Eugenia & Moscoso, Nebel Silvana & Blanco, Anibal Manuel, 2022. "Assessing performance in health care: A mathematical programming approach for the re-design of primary health care networks," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    8. Skipworth, Heather & Delbufalo, Emanuela & Mena, Carlos, 2020. "Logistics and procurement outsourcing in the healthcare sector: A comparative analysis," European Management Journal, Elsevier, vol. 38(3), pages 518-532.
    9. Natale Carlo Lauro & Maria Gabriella Grassia & Rosanna Cataldo, 2018. "Model Based Composite Indicators: New Developments in Partial Least Squares-Path Modeling for the Building of Different Types of Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 421-455, January.
    10. Rima Žitkienė & Ugnė Dudė, 2018. "The impact of outsourcing implementation on service companies," Post-Print hal-02167060, HAL.
    11. Lina Vyas & Mark Hayllar & Yan Wu, 2018. "Bridging the Gap - Contractor and Bureaucrat Conceptions of Contract Management in Outsourcing," Public Organization Review, Springer, vol. 18(4), pages 413-439, December.
    12. Corrado Crocetta & Laura Antonucci & Rosanna Cataldo & Roberto Galasso & Maria Gabriella Grassia & Carlo Natale Lauro & Marina Marino, 2021. "Higher-Order PLS-PM Approach for Different Types of Constructs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 725-754, April.
    13. Larsen, Michael D., 2006. "Longitudinal and Panel Data: Analysis and Applications in the Social Sciences. Edward W. Frees," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 402-402, March.
    14. Boffardi, Raffaele, 2022. "How efficient is the Italian health system? Evidence on the role of political-institutional dynamics," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    Full references (including those not matched with items on IDEAS)

    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. Rosanna Cataldo & Corrado Crocetta & Maria Gabriella Grassia & Paolo Mazzocchi & Antonella Rocca & Claudio Quintano, 2024. "Sustainable Innovation: The Italian Scenario Studied Through Higher-Order Partial Least Squares-Path Modeling," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 173(1), pages 201-225, May.
    2. Cataldo, Rosanna & Cascella, Clelia & Grassia, Maria Gabriella & Lauro, Carlo Natale & Voytsekhovska, Viktoriya, 2024. "A PLS-Hierarchical Path Modeling approach to analyze and address gender equality in the EU countries," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    3. Venera Tomaselli & Mario Fordellone & Maurizio Vichi, 2021. "Building Well-Being Composite Indicator for Micro-Territorial Areas Through PLS-SEM and K-Means Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 407-429, January.
    4. Paolo Mazzocchi & Claudio Quintano & Antonella Rocca, 2024. "Efficiency analysis using SBM and PLS-SEM: insights from the Italian judicial system," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5621-5654, December.
    5. Matheus Pereira Libório & Oseias da Silva Martinuci & Sandro Laudares & Renata de Mello Lyrio & Alexei Manso Correa Machado & Patrícia Bernardes & Petr Ekel, 2020. "Measuring Intra-Urban Inequality with Structural Equation Modeling: A Theory-Grounded Indicator," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
    6. Rosanna Cataldo & Corrado Crocetta & Maria Gabriella Grassia & Natale Carlo Lauro & Marina Marino & Viktoriya Voytsekhovska, 2021. "Methodological PLS-PM Framework for SDGs System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 701-723, August.
    7. Corrado Crocetta & Laura Antonucci & Rosanna Cataldo & Roberto Galasso & Maria Gabriella Grassia & Carlo Natale Lauro & Marina Marino, 2021. "Higher-Order PLS-PM Approach for Different Types of Constructs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 725-754, April.
    8. Fredriksson, Anders & Macchione Saes, Maria Sylvia, 2025. "Quantifying political effects in the spatial allocation of public services," Socio-Economic Planning Sciences, Elsevier, vol. 99(C).
    9. Ufuk Beyaztas & Han Lin Shang, 2021. "A partial least squares approach for function-on-function interaction regression," Computational Statistics, Springer, vol. 36(2), pages 911-939, June.
    10. Ringle, Christian M. & Sarstedt, Marko & Schlittgen, Rainer & Taylor, Charles R., 2013. "PLS path modeling and evolutionary segmentation," Journal of Business Research, Elsevier, vol. 66(9), pages 1318-1324.
    11. A. Q. Adeleke & A. Y. Bahaudin & A. M. Kamaruddeen, 2018. "Organizational Internal Factors and Construction Risk Management among Nigerian Construction Companies," Global Business Review, International Management Institute, vol. 19(4), pages 921-938, August.
    12. Watson, Rosina & Wilson, Hugh N. & Macdonald, Emma K., 2020. "Business-nonprofit engagement in sustainability-oriented innovation: What works for whom and why?," Journal of Business Research, Elsevier, vol. 119(C), pages 87-98.
    13. Mattia Cefis & Maurizio Carpita, 2024. "The higher-order PLS-SEM confirmatory approach for composite indicators of football performance quality," Computational Statistics, Springer, vol. 39(1), pages 93-116, February.
    14. Castaldo, Sandro & Ciacci, Andrea & Penco, Lara & Profumo, Giorgia, 2024. "Which trust layer better counterbalances the risk impact on travel intentions in a crisis scenario?," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    15. Buso, Marco & Moretto, Michele & Zormpas, Dimitrios, 2021. "Excess returns in Public-Private Partnerships: Do governments pay too much?," Economic Modelling, Elsevier, vol. 102(C).
    16. Kristina Peštović & Nikola Milicevic & Nenad Djokic & Ines Djokic, 2021. "Audit Service Quality Perceived by Customers: Formative Modelling Measurement Approach," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    17. Roberto Fasanelli & Ida Galli & Maria Gabriella Grassia & Marina Marino & Rosanna Cataldo & Carlo Natale Lauro & Chiara Castiello & Filomena Grassia & Caterina Arcidiacono & Fortuna Procentese, 2020. "The Use of Partial Least Squares–Path Modelling to Understand the Impact of Ambivalent Sexism on Violence-Justification among Adolescents," IJERPH, MDPI, vol. 17(14), pages 1-22, July.
    18. Aliakbar Hasani & Majid Eskandarpour & Dylan Jones, 2025. "Health care network design with multiple objectives and stakeholders," Annals of Operations Research, Springer, vol. 346(2), pages 1027-1062, March.
    19. Laura Grassini & Alessandro Magrini & Enrico Conti, 2023. "Formative-reflective scheme for the assessment of tourism destination competitiveness: an analysis of Italian municipalities," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3523-3548, August.
    20. Giorgio Eduardo Montanari & Marco Doretti & Maria Francesca Marino, 2022. "Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(2), pages 457-485, June.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:soceps:v:98:y:2025:i:c:s0038012125000084. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    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.