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.

Author: Tabei Yozshushakar
Country: Japan
Language: English (Spanish)
Genre: History
Published (Last): 18 March 2018
Pages: 287
PDF File Size: 5.48 Mb
ePub File Size: 13.23 Mb
ISBN: 327-8-75686-309-9
Downloads: 83415
Price: Free* [*Free Regsitration Required]
Uploader: Ferg

Methods Subjects This was a cross-sectional study performed from August to July Int J Nurs Stud. The Chinese version of the HFRM showed good reliability and validity in assessing hendricb risk of fall in Chinese elderly inpatients.

Author information Article notes Copyright and License information Disclaimer. The optimal hendric score for screening at risk patients was 5 with an area under the ROC curve of 0. Funding Statement The authors have no support or funding to report.

InKim et al. This tool was developed specifically for the risk modell of patient falls in hospital and the scale needs only 3—5 minutes to complete [ 9 ]. Written informed consent was obtained from each patient.

A convenience sample of participants from the original was recruited in order to determine the test-retest and inter-rater reliability. Prevention of falls and consequent injuries in elderly people.

Future, studies might be performed using different scales in different Chinese elderly populations. Secondly, a too short test-retest interval might increase the test-retest reliability measures. MFS has been translated into a variety of languages, and is widely used in medical institutions in the United Fal, Canada, Sweden, Australia and other countries [ 9 ].

First, all participants were recruited from one hospital; thus, hendrixh results might not be extrapolated to the general Chinese elderly population. Age ranged from 60 to 92 years, for a mean of The aim of the present hendricb 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.

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. HFRM has been adapted to different cultures in the world.


Hendrich II Fall Risk Model |

The area under the curve AUC was 0. Preventing fall is the key to decrease osteoporotic fracture and other relevant impairments in the elderly, and to identify and evaluate rsik fall risk of them is an antecedent to prevent and interfere it effectively. 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.

The results shows that StratifyHendrich II Fall Risk Model and Morse Fall Scale have fapl 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.

It was developed by Morse, the professor of university of Pennsylvania, America, inwhich has six items in total. Instruments for assessing the risk of falls in acute hospitalized patients: The reliability of the Chinese version of the HFRM was determined using the internal consistency and test-rested methods.

S1 Questionnaire Questionnaire in Chinese version.

You need to have JavaScript enabled in order to access this site.

The elderly has high risk in fall, and almost half of the elder people who are over 60 years old have falling experience. 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.

Therefore, clinically nurses should adopt them based on the features and requirements of the elderly patients. After the first evaluation, all participants were evaluated every week using the same instrument. Overseas researchers achieve their objective evaluation of the risk of falling through the development of scale generally, according to the characteristics of different populations, they made a variety of assessment rating scales which fit different test objects and focus, such as emergency patients, outpatients, inpatients, patients in nursing institute, community population, and elderly population.

Categorical data are expressed as frequencies.


Therefore, we wanted to introduce HFRM in China to improve the identification of patients at high risk of falling. To explore the sensibility and specificity of StratifyHendrich II Fall ,odel 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 io.


The other 60 patients was recruited in order to determine the inter-rater reliability. The AUC was 0. InIvziku et al.

So henerich can help to distinguish the high risk group in the elderly patients. However, it is possible to add items to enhance the Crobach’s alpha coefficient, but the scale becomes more complicated. In this study, falls occurred for32 patients during hospitalization. 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 test-retest reliability, inter-rater reliability and internal consistency reliability were assessed.

Therefore, tools are necessary to assess the risk of falls to improve the safety of patients in the hospital. There is no complete system or tool to assess, prevent and intervene falls in China [ 11 ]. Data Availability All relevant data are within the paper and falp Supporting Information files. 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 ].

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. The items and grading standards are following: From October to December,a total of elderly inpatients rizk the affiliated hospital of Qingdao university were selected.

After obtaining the consent of the author Dr. The data was processed using statistical analysis software SPSS 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.