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

Avkiran, Necmi and McCrystal, Alan (2014) Intertemporal analysis of organizational productivity in residential aged care networks: scenario analyses for setting policy targets. Health Care Management Science, 17 2: 113-125. doi:10.1007/s10729-013-9259-6


Author Avkiran, Necmi
McCrystal, Alan
Title Intertemporal analysis of organizational productivity in residential aged care networks: scenario analyses for setting policy targets
Journal name Health Care Management Science   Check publisher's open access policy
ISSN 1386-9620
1572-9389
Publication date 2014-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.1007/s10729-013-9259-6
Volume 17
Issue 2
Start page 113
End page 125
Total pages 13
Place of publication New York, United States
Publisher Springer
Language eng
Formatted 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.
Keyword Intertemporal organizational productivity
Residential aged care
Scenario analysis
Dynamic network DEA
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online ahead of print: 30 November 2013.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
UQ Business School Publications
 
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Created: Thu, 20 Feb 2014, 01:59:20 EST by Karen Morgan on behalf of UQ Business School