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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Generally, scales with more items will faall higher Crobach’s alpha coefficient. Preventing fall is the key to decrease osteoporotic fracture and other relevant impairments in the elderly, and to identify and evaluate the fall risk of them is an antecedent to prevent and interfere it effectively. Therefore, we wanted to introduce HFRM in China to improve the identification of patients at high risk of falling.
Hendrich II Fall : FUNDAMENTALS OF NURSING:
Scand J Caring Sci. 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. Therefore, even though the scale had a low Crobach’s alpha coefficient, it might be more welcome by the hospital medical workers because of its simplicity. The inter-rater reliability was high with an ICC of 0.
Finally, although this Chinese version of the HFRM showed good reliability and validity in assessing the fall risk of elderly inpatients, other scale translated in Chinese may also be good. Conceived and designed the experiments: Patients were eligible for the study if they were over 60 years old and had no consciousness disorders, and if they could walk by themselves or assistive devices, and if they had no severe physiological defect or organic diseases and understanding or communication disorders.
InNassar et al. 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.
With the coming of population-aging, the aging population increases. Fall can affect the health and live quality of the elderly severely, in which nearly half may result in serious injury, including brain trauma, fracture and other physical injury and anxiety, fear and other psychological damage.
MFS has been translated into a variety of languages, and is widely used in medical institutions in the United States, Canada, Sweden, Australia and other countries [ 9 ].
The area under the curve AUC was 0. 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 frail, and have unstable gait and poor vision.
Therefore, early assessment and identification of risk factors is an effective premise to prevention. Received May 5; Accepted Oct Therefore, clinically nurses should adopt them based on the features and requirements of the elderly patients. The items were found loading into three factors, and the cumulative percentage accounted for The Chinese version of the HFRM falo good reliability and validity in assessing the risk of fall in Chinese elderly inpatients.
Table 1 Table hendrch Baseline characteristics of study subjects. Falls can be caused by external factors, such as environment, clothing and nurses, and internal factors, which include the body degeneration of the elderly resulted from the age, especially the decline of balance function due to dysfunction of vision, vestibular function and proprioception, the patients may fall down with body imbalance [ 13 ].
But there are few reports about the fapl of MFS in Chinese elderly population. After the first evaluation, all participants were evaluated every week using the same instrument.
In recent years, accidental falls happening to hospitalized patients has gradually gained rism attention. Therefore, foreign experts suggest that Stratify can be regarded as a simple testing method for basic movement ability of elderly population [ 78 ]. After obtaining the consent of the author Dr.
In this study, falls occurred for32 patients during hospitalization. How to try this: Consecutive patients were selected to represent the Chinese hendrifh inpatients population.
HFRM has been adapted to different cultures in the world. Prevention of falls and consequent injuries in elderly people. Validity was determined using construct validity and convergent validity.
The intra-class correlation coefficient ICC of inter-rater reliability was 0. Two testers trained applied three rating scales, including Stratify, Hendrich II Fall Risk Model and Morse Fall Scale, to assess the risk of fall for elderly in-patients in our hospital at same time.
Relationship between occurrence of falls and fall-risk scores in an acute care setting using modl Hendrich II fall risk model. To explore the sensibility and specificity of StratifyHendrich II Fall Risk Model and Morse Fall Scale in predicting the risk of falling for the elderly in-patients, as well as the correlation among these three rating scales.
However, comparisons with other tools should be performed.
Hendrich II Fall Risk Model |
Stratify is applied for the elderly patients in this study, with a better discrimination validity between the fall patients and non-fall patients, it can assess the fall risk of patients effectively. And the correlativity among the rating scales was 0. Author information Article notes Copyright and License information Disclaimer. Written informed consent was obtained from each patient. Categorical data are expressed as frequencies.