This resource outlines the Hendrich II Fall Risk Model TM and explains why its use in acute care is a best practice approach to identifying adults at risk for falls. TARGET POPULATION: The Hendrich II Fall Risk Model is intended to be used in the acute care setting to identify adults at risk for falls. The Model is being. To translate, validate and examine the reliability and validity of a Chinese version of the Hendrich II Fall risk Model (HFRM) in predicting falls in.
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Data collection After obtaining the consent of the author Dr. Reliability of the Chinese version of the HFRM The test-retest reliability, inter-rater reliability and internal consistency reliability were assessed. The independent sample t test was used to analyze discriminant validity of Stratify, Hendrich II Fall Risk Model and Morse Fall Scale, and the Hendricy rank correlation coefficient was adopted to analyze their correlativity.
Int J Nurs Stud. After the first evaluation, all participants were evaluated every week using the same instrument. In addition, this scale is simple which consumes less time, so nurse can use it to screen the patients on admission, implementing the preventive measures for falling timely.
Secondly, a too short test-retest interval might increase the test-retest reliability measures. Evaluation of three fall-risk assessment tools in an acute care setting. With the coming of population-aging, the aging population increases. In addition, all of they gave written informed consent.
The results shows that StratifyHendrich II Fall Risk Model and Morse Fall Scale have close correlation in the assessment of fall risk of the elderly patients, which indicates that the three scales have better consistency in the possibility of evaluating the occurrence of falling. Content validity was excellent.
The area under the curve AUC was 0. Therefore, clinically nurses should adopt them based on the features and requirements of the elderly patients. With the aging trend of the social population, fall has become an important issue, which seriously affects the health of the elderly, and its incidence in the world has a higher proportion. InNassar et al. The aim of the present study was to translate, validate and examine the reliability and validity of a Chinese version of the Hendrich II Fall risk Model HFRM in predicting patient falls.
The inter-rater reliability was high with an ICC of 0. Defining the Problem and Identifying Possible Solutions. How to try this: From October to December,a total of elderly inpatients in the affiliated hospital of Qingdao university were selected. At present, many scholars of domestic and overseas devote themselves to the exploitation of fall assessment tools, and have developed various tools to assess the risk factors of the elderly fall.
Age ranged from 60 to 92 years, for a mean of The intra-class correlation coefficient was 0. After that, the test started officially.
However, due to its fall risk factors of assessment, such as consciousness, gait, history of falling and vision, it is recommended to be selected for the assessment of the elderly population who are older and hendricn, and have unstable gait and poor vision. The data was processed using statistical analysis software SPSS Open in a separate window.
Stratify, Hendrich II Fall Risk Model and Morse Fall Scale have higher sensibility and specificity in predicting the fall risk of patients, and high correlativity, but various emphasis points. However, they suggested fal some language expressions to make the scale more concise and easier to understand.
The reliability of the Chinese version of the HFRM was determined using the internal consistency and test-rested methods.
Hendrich II Fall Risk Model |
In order to avoid mistakes caused by poor memory or cognition of the elderly people, their family members were allowed to answer questions.
In conclusion, the Chinese version of the HFRM had good reliability and mosel in assessing the fall risk of elderly inpatients. Falls have negative impacts such as delaying patient rehabilitation, suing, dissatisfaction and economic losses.
Since the HFRM is easy to use, the present study aimed to translate, validate and examine the reliability and validity of a Chinese version of the HFRM tool in predicting falls in elderly inpatients. The items were found loading into three factors, and the cumulative percentage accounted for HFRM has been adapted to different cultures in the world. The optimal cut-off score for screening at risk patients was 5 with an area under the ROC curve of 0.
Methods Subjects This was a cross-sectional study performed from August to July Two researchers evaluated the same subjects independently.