Can Nurses Tell the Future? Creation of a Model Predictive of 30-Day Readmissions : Advances in Nursing Science

Secondary Logo

Journal Logo

Advanced Search
Post-Hospital Nursing

Can Nurses Tell the Future? Creation of a Model Predictive of 30-Day Readmissions

Dugger, Adonica DNP; McBride, Susan PhD; Song, Huaxin PhD

Author Information

Texas Tech University Health Science Center School of Nursing, Lubbock.

Correspondence: Adonica Dugger, DNP, Texas Tech University Health Sciences Center School of Nursing, 602 Indiana Ave, Lubbock, TX 79415 ([email protected]).

No funding was received from any source for completion of this study.

Author contributions: Study concept and design: Drs Dugger and McBride; acquisition of data: Dr Dugger; analysis and interpretation of data: Drs Dugger, McBride, and Song; drafting of the manuscript: Drs Dugger and McBride; statistical analysis: Drs Dugger, McBride, Song.

The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article.

Advances in Nursing Science 37(4):p 315-326, October/December 2014. | DOI: 10.1097/ANS.0000000000000048

Abstract

The estimated cost for hospital readmissions in 2011 was more than $41 billion, but the costs to patients in terms of quality of life are immeasurable. The purpose of this study was to determine if there are variables available to nurses at the time of the patient's admission that could be predictive of a 30-day hospital readmission. Logistic regression was used in a stepwise approach to determine the variable combinations most predictive for 30-day readmission. Thirty-two variables were found to be significantly predictive of 30-day readmissions from the more than 1400 examined.

© 2014Wolters Kluwer Health | Lippincott Williams & Wilkins

Full Text Access for Subscribers:

Not a Subscriber?

Buy
Request Permissions

You can read the full text of this article if you:

Access through Ovid