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Intertemporal analysis of organizational productivity in residential aged care networks: scenario analyses for setting policy targets

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  • Necmi Avkiran
  • Alan McCrystal

Abstract

With an increasing ageing population, there is a growing concern about how the elderly would be looked after. The primary purpose of this paper is to develop scenario analysis using simulated data where various criteria are incorporated into modeling policy targets, and apply an intertemporal productivity analysis to observe inefficiencies as reform unfolds. The study demonstrates how dynamic network data envelopment analysis (DN-DEA) can be used to evaluate the changing productivity of residential aged care (RAC) networks over time. Results indicate that it takes 9 years for 90 % of the RAC networks to have 85 % or more of the total beds in high-level care, and an optimal bed capacity is reached by the end of year 7. Number of beds and registered nurses employed are the main sources of inefficiency. The common core inefficient cohort identified with the paper’s method represents a sub-group of RAC networks more deserving of closer managerial attention because of their constantly inefficient operations over time. Copyright Springer Science+Business Media New York 2014

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  • Necmi Avkiran & Alan McCrystal, 2014. "Intertemporal analysis of organizational productivity in residential aged care networks: scenario analyses for setting policy targets," Health Care Management Science, Springer, vol. 17(2), pages 113-125, June.
  • Handle: RePEc:kap:hcarem:v:17:y:2014:i:2:p:113-125
    DOI: 10.1007/s10729-013-9259-6
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    1. Margit Sommersguter-Reichmann, 2022. "Health care quality in nonparametric efficiency studies: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 67-131, March.
    2. Necmi Kemal Avkiran, 2018. "An in-depth discussion and illustration of partial least squares structural equation modeling in health care," Health Care Management Science, Springer, vol. 21(3), pages 401-408, September.
    3. Paul Intrevado & Vedat Verter & Lucie Tremblay, 2019. "Patient-centric design of long-term care networks," Health Care Management Science, Springer, vol. 22(2), pages 376-390, June.
    4. Samira Foladi & Maghsud Solimanpur & Mustafa Jahangoshai Rezaee, 2020. "Inverse Dynamic Data Envelopment Analysis for Evaluating Faculties of University with Quasi-Fixed Inputs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 323-347, February.

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