Relationship Between Unit Characteristics and Fall Incidence: A Cross-Sectional Survey Using Administrative Data in Japan

Author:

MORIWAKI Mutsuko1ORCID,TANAKA Michiko2ORCID,TOBA Mikayo3ORCID,OZASA Yuka4ORCID,OGATA Yasuko5ORCID,OBAYASHI Satoshi6ORCID

Affiliation:

1. PhD, RN, Associate Professor, Quality Management Center, Tokyo Medical and Dental University Hospital, Japan

2. PhD, RN, Lecturer, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Japan

3. PhD, MD, Associate Professor, Quality Management Center, Tokyo Medical and Dental University Hospital, Japan

4. PhD, RN, Head Nurse, Clinical Research Center, Tokyo Medical and Dental University Hospital, Japan

5. PhD, RN, Professor, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Japan

6. PhD, MD, Professor, Department of Obstetrics & Gynecology, Dokkyo Medical University, Japan.

Abstract

ABSTRACT Background Falls are the most frequent accident experienced by inpatients in hospitals. As falls affect patient outcomes, high fall risk factors should be studied to prevent falls and improve patient safety. However, the relationship between hospital unit characteristics and fall risk has never been assessed. Purpose This study was designed to identify the unit characteristics significantly related to fall risk. Methods A cross-sectional study was conducted on the medical records of patients hospitalized in a Japanese academic hospital between 2018 and 2019. This study quantified unit activities and utilized Diagnosis Procedure Combination data to examine unit characteristics related to falls based on unit day. Results Data on 16,307 patients were included in the analysis, and 355 unit days were certified as fall events. Based on patient condition and medical treatment, the results identified antineoplastic injections, radiation therapy, aseptic treatment room, and functional status of partly assisted transfers, meals, and oral care as unit characteristics associated with increased fall events. Decreased nursing time per patient at night (odds ratio [OR] = 0.75, p = .04) and higher numbers of partially assisted transfer patients were also identified as unit characteristics associated with higher fall incidence rates (OR = 5.56, p = .01). Conclusions The results of this study are expected to assist nurses to predict falls based on unit characteristics; reducing nursing time in the units was found to be a factor associated with higher fall risk. Nurse managers must understand the unit-related fall risk factors, appropriately assign nurse staffing numbers, and demonstrate nursing leadership to prevent falls in their units.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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