Performance of the Hendrich Fall Risk Model II in Patients Discharged from Rehabilitation Wards. A Preliminary Study of Predictive Ability

Isabella Campanini, Annalisa Bargellini, Stefano Mastrangelo, Francesco Lombardi, Stefano Tolomelli, Mirco Lusuardi and Andrea Merlo
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Isabella Campanini: LAM-Motion Analysis Laboratory, Neuromotor and Rehabilitation Department, S. Sebastiano Hospital, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42122 Correggio, Italy
Annalisa Bargellini: Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi, 287, 41125 Modena, Italy
Stefano Mastrangelo: Clinical Governance Unit, Azienda USL-IRCCS di Reggio Emilia, Via Giovanni Amendola, 2, 42122 Reggio Emilia, Italy
Francesco Lombardi: Neurorehabilitation Unit, Neuromotor and Rehabilitation Department, S. Sebastiano Hospital, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42015 Correggio, Italy
Stefano Tolomelli: Motor Rehabilitation Unit, Neuromotor and Rehabilitation Department, S. Sebastiano Hospital, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42015 Correggio, Italy
Mirco Lusuardi: Neuromotor and Rehabilitation Department, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42015 Correggio, Italy
Andrea Merlo: LAM-Motion Analysis Laboratory, Neuromotor and Rehabilitation Department, S. Sebastiano Hospital, Azienda USL-IRCCS di Reggio Emilia, Via Circondaria 29, 42122 Correggio, Italy

IJERPH, 2021, vol. 18, issue 4, 1-13

Abstract: (1) Background: Falls are a dangerous adverse event in patients discharged from rehabilitation units, with the risk of falling being higher in the first weeks after discharge. In this study, we assessed the predictive performance of the Hendrich Fall Risk Model II tool (HIIFRM) when administered before discharging patients to their home from rehabilitative units in orthopedic (OR), neurologic (NR) and pulmonary (PR) rehabilitation wards. (2) Methods: Over a 6-month period, all adult patients who returned home after discharge were assessed by HIIFRM. At six months from discharge the occurrence of falls was obtained by performing a structured survey. The HIIFRM predictive performance was determined by the area under the ROC curve (AUC), sensitivity (Se) and specificity (Sp) for the whole sample and split by ward. (3) Results: 85 of 141 discharged patients were living at home and agreed to take part in the survey. Of these, 19 subjects fell, 6 suffered fractures or head traumas and 5 were hospitalized. The AUC was 0.809 (95% CI: 0.656–0.963), Se was 0.67 (0.30–0.93) and Sp was 0.79 (0.63–0.90) for OR patients. (4) Conclusions: Our preliminary results support the use of HIIFRM as a tool to be administered to OR patients at discharge and provides data for the design of a large study of predictive ability.

Keywords: falls risk assessment; Hendrich Fall Risk Model II; rehabilitation units; discharge to home (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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