{"title":"Relationship Between Unit Characteristics and Fall Incidence: A Cross-Sectional Survey Using Administrative Data in Japan.","authors":"Mutsuko Moriwaki, Michiko Tanaka, Mikayo Toba, Yuka Ozasa, Yasuko Ogata, Satoshi Obayashi","doi":"10.1097/jnr.0000000000000615","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Purpose: </strong>This study was designed to identify the unit characteristics significantly related to fall risk.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":94242,"journal":{"name":"The journal of nursing research : JNR","volume":"32 3","pages":"e333"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The journal of nursing research : JNR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/jnr.0000000000000615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.