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.
|Published (Last):||20 September 2012|
|PDF File Size:||18.20 Mb|
|ePub File Size:||19.37 Mb|
|Price:||Free* [*Free Regsitration Required]|
Prevention of falls and consequent injuries in elderly iii. Future, studies might be performed using different scales in different Chinese elderly populations. Categorical data are expressed as frequencies.
And the correlativity among the rating hsndrich was 0. Therefore, henddrich experts suggest that Stratify can be regarded as a simple testing method for basic movement ability of elderly population [ 78 ]. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
Assessing patients in a neurology practice for risk of falls an evidence-based review: Introduction Falls are described as any sudden, unexpected and unintentional occurrence resulting in a patient landing on the ground or at lower level [ 1 ].
The items were found loading into three factors, and the cumulative percentage accounted for Preventing fall is the key to decrease osteoporotic fracture and other hendrkch impairments in the elderly, and to identify and evaluate the fall risk of them is an antecedent to prevent and interfere it effectively. 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.
The evaluation for fall risk factors is essential to prevent falls. 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. Scand J Caring Sci. 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.
Hendrich II fall risk model: InNassar et al.
In this study, falls rksk for32 patients during hospitalization. The participants were recruited from seven departments in the Peking Union Medical College Hospital neurology, endocrinology, nephrology, infectious diseases, respiratory medicine, Chinese medicine and geriatric wards. Instruments for assessing the risk of falls in acute hospitalized patients: 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.
A number of studies at home and abroad [ 34 ] show that, assessing the risk factors related to falls as well as formulating and implementing the preventive measures can play a positive role in preventing falls in the elderly. Methods Subjects This was a cross-sectional study performed from August to July The items and grading standards are following: The Chinese version of the HFRM showed good reliability and validity in assessing fqll risk of fall in Chinese elderly inpatients.
Hendrich II Fall Risk Model |
InIvziku et al. The optimal cut-off score for screening at risk patients was 5 with an area under the ROC curve of 0. Conceived and designed the experiments: The predictive validity of HFRM was tested for sensitivity, specificity, positive predictive value and negative predictive value.
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 ].
This tool ui developed specifically for the risk assessment of patient falls in hospital and the scale needs only 3—5 minutes to complete [ 9 ]. Validity was determined using construct validity hrndrich convergent validity.
In conclusion, the Chinese version of the HFRM had good reliability and validity in assessing the fall risk of elderly inpatients. Therefore, clinically nurses should adopt them based on the features and requirements of the elderly patients.
Generally, scales with more items will have higher Crobach’s alpha coefficient. A total of subjects were enrolled in this study male and female.
And the patient who has two risk factors of fall mentioned above belongs to the high risk group of falling. Now there are over ten scales used for the evaluation of fall risk in the elderly, among them, about Stratify, Hendrich Henrich Fall Risk Model and Morse Fall Scale, there are more and more mature researches [ 5 ].
Researchers with a special training for using the Chinese version of the HFRM tool evaluated the risk of falling of all participants within 24 hours after hospitalization. Age ranged from 60 to 92 years, for a mean of Falls have negative impacts such as delaying patient rehabilitation, suing, dissatisfaction and economic losses.
In this study, both testers were registered rehabilitation therapists in rehabilitation medical department of our hospital.
However, comparisons with other tools should be performed. The shortest hospitalization was 4 days, and the longest was 80 days modrl of Defining the Problem and Identifying Possible Solutions.
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. The other 60 patients was recruited nendrich order to determine the inter-rater reliability.