ArticleHealth care management science2013
Measuring the efficiencies of visiting nurse service agencies using data envelopment analysis.
Article in Health care management science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Measurement of special access to home visit nursing services among Japanese disabled elderly people: using GIS and claim data.BMC health services research · 2017Article
- The effect of information technology on hospital performance.Health care management science · 2016Article
- Decomposing Cost Efficiency in Regional Long-term Care Provision in Japan.Global journal of health science · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study develops a measure of the efficiency of visiting nurse (VN) agencies in Japan, examining the issues related to the measurement of efficiency, and identifying the characteristics that influence efficiency. We have employed a data envelopment analysis to measure the efficiency of 108 VN agencies, using the numbers of 5 types of staff as the input variables and the numbers of 3 types of visits as the output variables. The median efficiency scores of the VN agencies were found to be 0.80 and 1.00 according to the constant returns to scale (CRS) and variable returns to scale (VRS) models, respectively, and the median scale efficiency score was 0.95. This study supports using both the CRS and VRS models to measure the scale efficiency of VN service agencies. We also found that relatively efficient VN agencies filled at least 30 % of staff positions with experienced workers, and so concluded that this characteristic has a direct influence on the length of visits.
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Registered trials
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