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Tailored Prevention of Inpatient Falls: Development and Usability Testing of the Fall TIPS Toolkit


CIN: Computers, Informatics, Nursing: February 2011 - Volume 29 - Issue - p TC21-TC28
doi: 10.1097/NCN.0b013e31821552d4
Feature Article

Patient falls and fall-related injuries are serious problems in hospitals. The Fall TIPS application aims to prevent patient falls by translating routine nursing fall risk assessment into a decision support intervention that communicates fall risk status and creates a tailored evidence-based plan of care that is accessible to the care team, patients, and family members. In our design and implementation of the Fall TIPS toolkit, we used the Spiral Software Development Life Cycle model. Three output tools available to be generated from the toolkit are bed poster, plan of care, and patient education handout. A preliminary design of the application was based on initial requirements defined by project leaders and informed by focus groups with end users. Preliminary design partially simulated the paper version of the Morse Fall Scale currently used in hospitals involved in the research study. Strengths and weaknesses of the first prototype were identified by heuristic evaluation. Usability testing was performed at sites where research study is implemented. Suggestions mentioned by end users participating in usability studies were either directly incorporated into the toolkit and output tools, were slightly modified, or will be addressed during training. The next step is implementation of the fall prevention toolkit on the pilot testing units.

Author Affiliations: Clinical Informatics Research and Development, Partners HealthCare, Boston, MA (Mrs Zuyev, Dr Dykes, Mrs Benoit, and Mr Chang); Indiana University Purdue University of Indianapolis, IN (Mrs Zuyev); and Brigham and Women's Hospital/Harvard Medical School, Boston, MA (Dr Dykes).

Reprinted from Zuyev L, Benoit AN, Chang FY, Dykes PC. Tailored prevention of inpatient falls: development and usability testing of the Fall TIPS toolkit. Comput Inform Nurs. 2011;29(2):93-100. DOI: 10.1097/NCN.0b013e3181f9dbe9.

This project was funded by the Robert Wood Johnson Foundation Interdisciplinary Nursing Quality Research Initiative and Partners HealthCare.

Corresponding author: Lyubov Zuyev, MS, Partners HealthCare, One Constitution Center, Charlestown, MA 02129 (

© 2011 Lippincott Williams & Wilkins, Inc.