Poe Stephanie S, Dawson Patricia B, Cvach Maria, Burnett Margaret, Kumble Sowmya, Lewis Maureen, Thompson Carol B, Hill Elizabeth E
The Johns Hopkins Hospital, Baltimore, Maryland (Dr Poe and Mss Dawson, Burnett, Kumble, and Lewis); Johns Hopkins Health System, Baltimore, Maryland (Drs Poe and Cvach); The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland (Ms Thompson); School of Nursing, The Johns Hopkins University, Baltimore, Maryland (Dr Hill); and College of Nursing, The Pennsylvania State University, University Park (Dr Hill).
J Nurs Care Qual. 2018 Jan/Mar;33(1):10-19. doi: 10.1097/NCQ.0000000000000301.
Patient falls and fall-related injury remain a safety concern. The Johns Hopkins Fall Risk Assessment Tool (JHFRAT) was developed to facilitate early detection of risk for anticipated physiologic falls in adult inpatients. Psychometric properties in acute care settings have not yet been fully established; this study sought to fill that gap. Results indicate that the JHFRAT is reliable, with high sensitivity and negative predictive validity. Specificity and positive predictive validity were lower than expected.
患者跌倒及与跌倒相关的损伤仍是一个安全问题。约翰霍普金斯跌倒风险评估工具（JHFRAT）的开发是为了便于早期发现成年住院患者预期生理跌倒的风险。急性护理环境中的心理测量特性尚未完全确立；本研究旨在填补这一空白。结果表明，JHFRAT是可靠的，具有高敏感性和阴性预测效度。特异性和阳性预测效度低于预期。
