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Assessing overall, technical, and scale efficiency among home health care agencies

Author

Listed:
  • Vivian G. Valdmanis
  • Michael D. Rosko
  • Herve Leleu

    (UCL FGES - Université Catholique de Lille - Faculté de gestion, économie et sciences - ICL - Institut Catholique de Lille - UCL - Université catholique de Lille, LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Dana B. Mukamel

Abstract

While home health care agencies (HHAs) play a vital role in the production of health, little research has been performed gauging their efficiency. Employing a robust approach to data envelopment analysis (DEA) we assessed overall, technical, and scale efficiency on a nationwide sample of HHAs. After deriving the three efficiency measures, we regressed these scores on a variety of environmental factors. We found that HHAs, on average, could proportionally reduce inputs by 28 % (overall efficiency), 23 % (technical efficiency) and 6 % (scale efficiency). For-profit ownership was positively associated with improvements in overall efficiency and technical efficiency and chain ownership was positively associated with global efficiency. There were also state-by-state variations on all the efficiency measures. As home health becomes an increasingly important player in the health care system, and its share of national health expenditures increases, it has become important to understand the cost structure of the industry and the potential for efficiencies. Therefore, further research is recommended as this sector continues to grow.

Suggested Citation

  • Vivian G. Valdmanis & Michael D. Rosko & Herve Leleu & Dana B. Mukamel, 2016. "Assessing overall, technical, and scale efficiency among home health care agencies," Post-Print hal-01533533, HAL.
    • Handle: RePEc:hal:journl:hal-01533533
    DOI: 10.1007/s10729-015-9351-1
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    2. Habib Zare & Madjid Tavana & Abbas Mardani & Sepideh Masoudian & Mahyar Kamali Saraji, 2019. "A hybrid data envelopment analysis and game theory model for performance measurement in healthcare," Health Care Management Science, Springer, vol. 22(3), pages 475-488, September.
    3. Mustapha D. Ibrahim & Sahand Daneshvar & Mevhibe B. Hocaoğlu & Olasehinde-Williams G. Oluseye, 2019. "An Estimation of the Efficiency and Productivity of Healthcare Systems in Sub-Saharan Africa: Health-Centred Millennium Development Goal-Based Evidence," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 371-389, May.
    4. Onofrio Resta & Emanuela Resta & Alberto Costantiello & Angelo Leogrande, 2023. "Elderly People Treated in Integrated Home Care in Italian Regions: A Metric Approach," Working Papers hal-04367727, HAL.
    5. Marouene Chaieb & Jaber Jemai & Khaled Mellouli, 2020. "A decomposition - construction approach for solving the home health care scheduling problem," Health Care Management Science, Springer, vol. 23(2), pages 264-286, June.
    6. Genave, Anna & Blancard, Stéphane & Garabedian, Sabine, 2020. "An assessment of energy vulnerability in Small Island Developing States," Ecological Economics, Elsevier, vol. 171(C).
    7. Cappanera, Paola & Visintin, Filippo & Vannelli, Sara, 2025. "Home-based care and center-based care: From being alternatives to being synergistic. Optimization models to support flexible care delivery," Omega, Elsevier, vol. 131(C).

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