Kyeongra Yang, Anita Van Wingerden, Marta Galagoza, Karla Soldevilla, Ethan A Lim, Mary L Wagner
{"title":"使用停止老年人事故、死亡和伤害算法评估社区居住老年人跌倒风险。","authors":"Kyeongra Yang, Anita Van Wingerden, Marta Galagoza, Karla Soldevilla, Ethan A Lim, Mary L Wagner","doi":"10.1002/nop2.70299","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To identify individuals at risk of falls and the factors contributing to their risk, we screened community-dwelling older adults using the Centers for Disease Control and Prevention's Stopping Elderly Accidents, Deaths, and Injuries (STEADI) Assessments.</p><p><strong>Design: </strong>A descriptive correlational study design.</p><p><strong>Methods: </strong>Fall risk screenings with community-dwelling older adults aged 65 or older were conducted during a virtual interprofessional education event (IPE) for fall risk screening. The screening included demographic questions, perception of fall risks, medication questions and physical assessments (Timed Up and Go test, Single Leg test, 30-Second Sit to Stand) using the STEADI algorithm. Screening data were collected via Qualtrics, and descriptive data analyses were performed using SPSS.</p><p><strong>Results: </strong>In total, 114 community volunteers aged 65 or older were screened for fall risk. Using the STEADI Fall Risk questionnaire, 84 participants (73.7%) exhibited at least one clinically proven risk factor for falls, with 39 (34.2%) having four or more risk factors. The physical assessments identified 37 participants (32.5%) with functional leg weakness, 47 (41.2%) had poor mobility and 32 (28.1%) had poor balance. As a result, the modified STEADI algorithm identified 68 (59.6%) with fall risk and the most frequently discussed SMART objectives were related to physical assessment data issues (34.5%).</p><p><strong>Patient or public contribution: </strong>Our study confirmed the effectiveness of a multifaceted STEADI assessment in identifying community individuals at risk for falls who may not be detected through the normal standard of care. Educating nurses on performing comprehensive fall risk assessments and creating corresponding action plans with SMART objectives is essential to ensure thorough screening and care of their patients. A collaborative, interprofessional education programme can help train health professional students to gain valuable skills in conducting comprehensive fall risk screenings and developing objectives for future care plans based on those findings.</p>","PeriodicalId":48570,"journal":{"name":"Nursing Open","volume":"12 9","pages":"e70299"},"PeriodicalIF":2.3000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413634/pdf/","citationCount":"0","resultStr":"{\"title\":\"Assessment of Fall Risk in Community-Dwelling Older Adults Using the Stopping Elderly Accidents, Deaths, and Injuries Algorithm.\",\"authors\":\"Kyeongra Yang, Anita Van Wingerden, Marta Galagoza, Karla Soldevilla, Ethan A Lim, Mary L Wagner\",\"doi\":\"10.1002/nop2.70299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>To identify individuals at risk of falls and the factors contributing to their risk, we screened community-dwelling older adults using the Centers for Disease Control and Prevention's Stopping Elderly Accidents, Deaths, and Injuries (STEADI) Assessments.</p><p><strong>Design: </strong>A descriptive correlational study design.</p><p><strong>Methods: </strong>Fall risk screenings with community-dwelling older adults aged 65 or older were conducted during a virtual interprofessional education event (IPE) for fall risk screening. The screening included demographic questions, perception of fall risks, medication questions and physical assessments (Timed Up and Go test, Single Leg test, 30-Second Sit to Stand) using the STEADI algorithm. Screening data were collected via Qualtrics, and descriptive data analyses were performed using SPSS.</p><p><strong>Results: </strong>In total, 114 community volunteers aged 65 or older were screened for fall risk. Using the STEADI Fall Risk questionnaire, 84 participants (73.7%) exhibited at least one clinically proven risk factor for falls, with 39 (34.2%) having four or more risk factors. The physical assessments identified 37 participants (32.5%) with functional leg weakness, 47 (41.2%) had poor mobility and 32 (28.1%) had poor balance. As a result, the modified STEADI algorithm identified 68 (59.6%) with fall risk and the most frequently discussed SMART objectives were related to physical assessment data issues (34.5%).</p><p><strong>Patient or public contribution: </strong>Our study confirmed the effectiveness of a multifaceted STEADI assessment in identifying community individuals at risk for falls who may not be detected through the normal standard of care. Educating nurses on performing comprehensive fall risk assessments and creating corresponding action plans with SMART objectives is essential to ensure thorough screening and care of their patients. A collaborative, interprofessional education programme can help train health professional students to gain valuable skills in conducting comprehensive fall risk screenings and developing objectives for future care plans based on those findings.</p>\",\"PeriodicalId\":48570,\"journal\":{\"name\":\"Nursing Open\",\"volume\":\"12 9\",\"pages\":\"e70299\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413634/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nursing Open\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/nop2.70299\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Open","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/nop2.70299","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
Assessment of Fall Risk in Community-Dwelling Older Adults Using the Stopping Elderly Accidents, Deaths, and Injuries Algorithm.
Aim: To identify individuals at risk of falls and the factors contributing to their risk, we screened community-dwelling older adults using the Centers for Disease Control and Prevention's Stopping Elderly Accidents, Deaths, and Injuries (STEADI) Assessments.
Design: A descriptive correlational study design.
Methods: Fall risk screenings with community-dwelling older adults aged 65 or older were conducted during a virtual interprofessional education event (IPE) for fall risk screening. The screening included demographic questions, perception of fall risks, medication questions and physical assessments (Timed Up and Go test, Single Leg test, 30-Second Sit to Stand) using the STEADI algorithm. Screening data were collected via Qualtrics, and descriptive data analyses were performed using SPSS.
Results: In total, 114 community volunteers aged 65 or older were screened for fall risk. Using the STEADI Fall Risk questionnaire, 84 participants (73.7%) exhibited at least one clinically proven risk factor for falls, with 39 (34.2%) having four or more risk factors. The physical assessments identified 37 participants (32.5%) with functional leg weakness, 47 (41.2%) had poor mobility and 32 (28.1%) had poor balance. As a result, the modified STEADI algorithm identified 68 (59.6%) with fall risk and the most frequently discussed SMART objectives were related to physical assessment data issues (34.5%).
Patient or public contribution: Our study confirmed the effectiveness of a multifaceted STEADI assessment in identifying community individuals at risk for falls who may not be detected through the normal standard of care. Educating nurses on performing comprehensive fall risk assessments and creating corresponding action plans with SMART objectives is essential to ensure thorough screening and care of their patients. A collaborative, interprofessional education programme can help train health professional students to gain valuable skills in conducting comprehensive fall risk screenings and developing objectives for future care plans based on those findings.
期刊介绍:
Nursing Open is a peer reviewed open access journal that welcomes articles on all aspects of nursing and midwifery practice, research, education and policy. We aim to publish articles that contribute to the art and science of nursing and which have a positive impact on health either locally, nationally, regionally or globally