Clinical Sensor-Based Fall Risk Assessment at an Orthopedic Clinic: A Case Study of the Staff’s Views on Utility and Effectiveness

Author:

Ehn Maria1,Kristoffersson Annica1ORCID

Affiliation:

1. School of Innovation, Design and Engineering, Mälardalen University, Box 883, 721 23 Västerås, Sweden

Abstract

In-hospital falls are a serious threat to patient security and fall risk assessment (FRA) is important to identify high-risk patients. Although sensor-based FRA (SFRA) can provide objective FRA, its clinical use is very limited and research to identify meaningful SFRA methods is required. This study aimed to investigate whether examples of SFRA methods might be relevant for FRA at an orthopedic clinic. Situations where SFRA might assist FRA were identified in a focus group interview with clinical staff. Thereafter, SFRA methods were identified in a literature review of SFRA methods developed for older adults. These were screened for potential relevance in the previously identified situations. Ten SFRA methods were considered potentially relevant in the identified FRA situations. The ten SFRA methods were presented to staff at the orthopedic clinic, and they provided their views on the SFRA methods by filling out a questionnaire. Clinical staff saw that several SFRA tasks could be clinically relevant and feasible, but also identified time constraints as a major barrier for clinical use of SFRA. The study indicates that SFRA methods developed for community-dwelling older adults may be relevant also for hospital inpatients and that effectiveness and efficiency are important for clinical use of SFRA.

Funder

Knowledge Foundation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference63 articles.

1. Yoshida, S. (2007). A Global Report on Falls Prevention: Epidemiology of Falls, World Health Organization.

2. Prevalence, characteristics and factors associated with falls among the elderly living at home;Downton;Aging Clin. Exp. Res.,1991

3. A risk model for the prediction of recurrent falls in community-dwelling elderly: A prospective cohort study;Stalenhoef;J. Clin. Epidemiol.,2002

4. Epidemiology of falls;Masud;Age Ageing,2001

5. Factors associated with serious injury during falls by ambulatory nursing home residents;Tinetti;J. Am. Geriatr. Soc.,1987

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