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

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Bibliographic Details
Title: Intertemporal analysis of organizational productivity in residential aged care networks: scenario analyses for setting policy targets
Authors: Avkiran, Necmi, McCrystal, Alan
Source: Health Care Management Science. 17:113-125
Publisher Information: Springer Science and Business Media LLC, 2013.
Publication Year: 2013
Subject Terms: 2. Zero hunger, 0211 other engineering and technologies, 2701 Medicine (miscellaneous), 02 engineering and technology, Efficiency, Organizational, Scenario analysis, Organizational Policy, Residential Facilities, United States, 3600 Health Professions, Residential aged care, Health Care Reform, Humans, Organizational Objectives, Intertemporal organizational productivity, Dynamic network DEA, Aged
Description: 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.
Document Type: Article
Language: English
ISSN: 1572-9389
1386-9620
DOI: 10.1007/s10729-013-9259-6
Access URL: https://pubmed.ncbi.nlm.nih.gov/24293078
https://www.ncbi.nlm.nih.gov/pubmed/24293078
https://europepmc.org/article/MED/24293078
https://link.springer.com/article/10.1007/s10729-013-9259-6
https://link.springer.com/content/pdf/10.1007%2Fs10729-013-9259-6.pdf
https://espace.library.uq.edu.au/view/UQ:323573
https://ideas.repec.org/a/kap/hcarem/v17y2014i2p113-125.html
Rights: Springer TDM
Accession Number: edsair.doi.dedup.....afb468031dd943e1c73e7a8e5b31d7a5
Database: OpenAIRE
Description
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.
ISSN:15729389
13869620
DOI:10.1007/s10729-013-9259-6