Abstract

Evidence to support the effectiveness of therapies commonly compares the outcomes between a group of individuals who received the therapy and a group of individuals who did not. Nurses must be able to interpret the statistics used to report these comparisons to determine not only whether there is a “real” (i.e. statistically significant) difference between the outcomes of the groups, but also whether that difference is large enough and precise enough to be clinically meaningful. The statistics involved depend on whether the outcome is expressed as a categorical (e.g. yes/no) or a continuous (e.g. pounds, length of stay) measure. When confidence intervals, rather than hypothesis tests, are used to determine whether the differences are statistically significant, nurses receive additional information on which to base practice decisions.

Notes

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Authors

Jeanne T. Grace

Author Details

Jeanne T. Grace, RN, PhD

Sigma Membership

Epsilon Xi

Type

Article

Format Type

Text-based Document

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Evidence-based Practice, Statistics, Precision

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Publisher

Mahidol University, Thailand

Version

Publisher's Version

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

External Review: Previously Published Material

Acquisition

Proxy-submission

Date of Issue

2010-01-01

Full Text of Presentation

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