ArticleJournal of medical systems2006
A 12-year analysis of Malmquist total factor productivity in dialysis facilities.
Article in Journal of medical systems, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Efficiency of the healthcare system and the impact of smoking bans: a DEA analysis of the Guangdong-Hong Kong-Macau Greater Bay Area in Asia.Frontiers in public health · 2025Article
- Assessing the Efficiency and Productivity of the Hospital Clinics on the Island of Rhodes during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- The Impact of Global Budgeting on the Efficiency of Healthcare under a Single-Payer System in Taiwan.International journal of environmental research and public health · 2021Article
- The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals.Health care management science · 2019Review
- A window-DEA based efficiency evaluation of the public hospital sector in Greece during the 5-year economic crisis.PloS one · 2017Article
- Data Envelopment Analysis in the Presence of Measurement Error: Case Study from the National Database of Nursing Quality Indicators® (NDNQI®).Journal of applied statistics · 2012Article
- The impact of non-discretionary factors on DEA and SFA technical efficiency differences.Journal of medical systems · 2011Article
- Separating managerial inefficiency from influences of the operating environment: an application in dialysis.Journal of medical systems · 2010Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examined total factor productivity of dialysis facilities in Greece over a 12-year period, using nationally representative panel data. Data Envelopment Analysis (DEA) was used to compute Malmquist productivity indices, which were decomposed into technical efficiency change and technological change. The sample consisted of 73 dialysis facilities operating throughout the entire study period (1993-2004), corresponding to 97.3% and 58.9% of all facilities in the first and last study years respectively. Production variables were nursing staff and dialysis machines (inputs) and dialysis sessions (output). The DEA model was input-oriented allowing for constant returns to scale (CRS). Technical efficiency change was decomposed into scale efficiency change and variable returns to scale (VRS) "pure" technical efficiency change. Mean overall efficiency, throughout the study years, ranged from 39.6 to 63.1% with an all-time average of 56.7%, and only 2-4% of the facilities were fully efficient in each study year. Productivity indices indicated year-by-year progress or regress up to 5%, but the efficiency and technological components differed, in some cases, by as much as 30%. Although interesting subperiod effects were observed, conclusions could not be generalized for the entire study period due to alternating trends. We suggest that preliminary insight to productivity in this sector has been obtained, but particular subperiods must be isolated and further investigated.
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Registered trials
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