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Developing a Care Coordination Model Using a Hybrid DEMATEL and PLS-SEM Approach

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  • Gyan Prakash
  • Shefali Srivastava

Abstract

The aim of this article is to develop and assess a model for care coordination (CC). A novel hybrid approach of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and partial least square structural equation modelling (PLS-SEM) has been used to assess the CC model. The study has been conducted in four phases: (a) literature review, (b) Delphi session, (c) development of CC model through DEMATEL and (d) validation of the model through PLS-SEM. The study involves perspectives of service providers as well as service receivers, for which data were collected from hospitals across India. The literature review and Delphi session helped in finalising the seven measures of CC. Identified measures of CC are: IT-enabled coordination, inter-professional teamwork and consistency, patient centredness, communication and information transfer, physical infrastructural facilities and requirements, delivery of quality care, and facilitating transitions and accountability. Patient-centredness was found to be the most important construct of CC. Delivery of quality care is the most influenced construct and is affected by all the other constructs. Based on the results, practitioners may develop an overarching strategy to deliver seamless care and better health outcomes. This understanding may help in designing processes which in turn would deliver health as a social good.

Suggested Citation

  • Gyan Prakash & Shefali Srivastava, 2019. "Developing a Care Coordination Model Using a Hybrid DEMATEL and PLS-SEM Approach," IIM Kozhikode Society & Management Review, , vol. 8(1), pages 34-49, January.
    • Handle: RePEc:sae:iimkoz:v:8:y:2019:i:1:p:34-49
    DOI: 10.1177/2277975218812958
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    References listed on IDEAS

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    1. Jody Hoffer Gittell & Leigh Weiss, 2004. "Coordination Networks Within and Across Organizations: A Multi‐level Framework," Journal of Management Studies, Wiley Blackwell, vol. 41(1), pages 127-153, January.
    2. Cynthia Williams & Yara Asi & Amanda Raffenaud & Matt Bagwell & Ibrahim Zeini, 2016. "The effect of information technology on hospital performance," Health Care Management Science, Springer, vol. 19(4), pages 338-346, December.
    3. Segal, Leonie & Dunt, David & Day, Susan E., 2004. "Introducing coordinated care (2): evaluation of design features and implementation processes implications for a preferred health system reform model," Health Policy, Elsevier, vol. 69(2), pages 215-228, August.
    4. repec:mpr:mprres:2698 is not listed on IDEAS
    5. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    6. Pao-Lien Wei & Jen-Hung Huang & Gwo-Hshiung Tzeng & Shwu-Ing Wu, 2010. "Causal Modeling Of Web-Advertising Effects By Improving Sem Based On Dematel Technique," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 9(05), pages 799-829.
    7. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
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    1. Nygaard, Malena A. & Ormiston, Heather E. & Renshaw, Tyler L. & Carlock, Kane & Komer, Jack, 2024. "School mental health care coordination practices: A mixed methods study," Children and Youth Services Review, Elsevier, vol. 157(C).

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