Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

The Diabetes Educator

Click here to sign up for SAGE Journal Email Alerts today!

Sign In to gain access to subscriptions and/or personal tools.
Evaluation & the Health Professions
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Rodell, D. E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Rodell, D. E.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Discharge Planning for Hospitalized Older Veterans

Daniel E. Rodell

Veterans Administration Medical Center, North Little Rock, Arkansas

A random sample of 175 patients in six nursing and personal care settings at the Veterans Administration Medical Center, Little Rock, Arkansas was drawn in order to develop a model for the classification of patients for the purpose of effecting more efficient and effective hospital discharge planning. Data that might effect significant changes in the placement dispositions and outcomes of patients were gathered and subjected to stepwise discriminant function and multiple regression analyses. It was found that the patient's socioeconomic status and the extent of social worker involvement in disposition rather than the patient's medical/psychiatric condition, constituted the best predictors of place ment and success in placement. The model accurately predicted 90 percent of all dispositions and could provide a useful basis for assigning to placements a significant minority of patients who are not placed in accordance with the correlates of optimum placement and placement outcome as determined by the model.

Evaluation & the Health Professions, Vol. 2, No. 1, 71-86 (1979)
DOI: 10.1177/016327877900200107
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?