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Public health capacity in the provision of health care services

Author

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  • Vivian Valdmanis
  • Arianna DeNicola
  • Patrick Bernet

Abstract

In this paper, we assess the capacity of Florida's public health departments. We achieve this by using bootstrapped data envelopment analysis (DEA) applied to Johansen's definition of capacity utilization. Our purpose in this paper is to measure if there is, theoretically, enough excess capacity available to handle a possible surge in the demand for primary care services especially after the implementation of the Affordable Care Act that includes provisions for expanded public health services. We measure subunit service availability using a comprehensive data source available for all 67 county health departments in the provision of diagnostic care and primary health care. In this research we aim to address two related research questions. First, we structure our analysis so as to fix budgets. This is based on the assumption that State spending on social and health services could be limited, but patient needs are not. Our second research question is that, given the dearth of primary care providers in Florida if budgets are allowed to vary is there enough medical labor to provide care to clients. Using a non-parametric approach, we also apply bootstrapping to the concept of plant capacity which adds to the productivity research. To preview our findings, we report that there exists excess plant capacity for patient treatment and care, but question whether resources may be better suited for more traditional types of public health services. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Vivian Valdmanis & Arianna DeNicola & Patrick Bernet, 2015. "Public health capacity in the provision of health care services," Health Care Management Science, Springer, vol. 18(4), pages 475-482, December.
  • Handle: RePEc:kap:hcarem:v:18:y:2015:i:4:p:475-482
    DOI: 10.1007/s10729-014-9277-z
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    References listed on IDEAS

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    Cited by:

    1. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    2. Kristiaan Kerstens & Jafar Sadeghi & Ignace Van de Woestyne, 2019. "Plant Capacity and Attainability: Exploration and Remedies," Operations Research, INFORMS, vol. 67(4), pages 1135-1149, July.
    3. Cesaroni, Giovanni & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2019. "Short- and long-run plant capacity notions: Definitions and comparison," European Journal of Operational Research, Elsevier, vol. 275(1), pages 387-397.
    4. Kristiaan Kerstens & Jafar Sadeghi, 2024. "Plant capacity notions: review, new definitions, and existence results at firm and industry levels," International Journal of Production Research, Taylor & Francis Journals, vol. 62(3), pages 1017-1040, February.
    5. Dale Squires & Kathleen Segerson, 2022. "Capacity and Capacity Utilization in Production Economics," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 24, pages 1001-1037, Springer.
    6. Kerstens, Kristiaan & Shen, Zhiyang, 2021. "Using COVID-19 mortality to select among hospital plant capacity models: An exploratory empirical application to Hubei province," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    7. Fukuyama, Hirofumi & Song, Yao-yao & Ren, Xian-tong & Yang, Guo-liang, 2022. "Using a novel DEA-based model to investigate capacity utilization of Chinese firms," Omega, Elsevier, vol. 106(C).
    8. Fukuyama, Hirofumi & Liu, Hui-hui & Song, Yao-yao & Yang, Guo-liang, 2021. "Measuring the capacity utilization of the 48 largest iron and steel enterprises in China," European Journal of Operational Research, Elsevier, vol. 288(2), pages 648-665.

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