• Int J Technol Assess Health Care · Jan 1996

    Multicenter Study

    Predicting nursing home length of stay and outcome with a resource-based classification system.

    • G Ljunggren and L Brandt.
    • Karolinska Institute.
    • Int J Technol Assess Health Care. 1996 Jan 1;12(1):72-9.

    AbstractThe anticipated demographic changes with an increasing number of elderly force us to plan and use health care resources more efficiently. In this study we have used the components of a case-mix measure for nursing homes; the Resource Utilization Groups (RUG-II), to predict length of stay (LOS) and outcome in geriatric institutions. We have shown that the RUG categories and an activities of daily living (ADL) index differ significantly in both respects, but that other variables might be of more clinical value when establishing a prospective payment system, based on LOS in geriatric institutions.

      Pubmed     Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.