Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study
Automated Fall Detection Algorithm With Global Trigger Tool, Incident Reports, Manual Chart Review, and Patient-Reported Falls: Algorithm Development and Validation With a Retrospective Diagnostic Accuracy Study
Elisa Dolci
1
* , MScN, RN ;
Barbara Schärer
2
* , MScN, RN ;
Nicole Grossmann
3, 4
, MScN, RN ;
Sarah Naima Musy
2, 4
, PhD ;
Franziska Zúñiga
4
, PhD, RN ;
Stefanie Bachnick
4
, PhD, RN ;
Michael Simon
2, 4
, PhD, RN
1
MediZentrum Täuffelen, Täuffelen, Switzerland
2
Nursing & Midwifery Research Unit, Inselspital Bern University Hospital, Bern, Switzerland
3
Department of General Internal Medicine, Inselspital Bern University Hospital, Bern, Switzerland
4
Institute of Nursing Science, Department of Public Health, Faculty of Medicine, University of Basel, Basel, Switzerland
*these authors contributed equally
Corresponding Author:
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Michael Simon, PhD, RN
-
Institute of Nursing Science, Department of Public Health
-
Faculty of Medicine
-
University of Basel
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Bernoullistrasse 28
-
Basel, 4056
-
Switzerland
-
Phone:
1 41 612670912
-
Email: m.simon@unibas.ch