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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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. InIvziku et al. Predictive validity of the Hendrich fall risk model II in an acute geriatric unit. The other 60 patients was recruited in order to determine the inter-rater reliability.
This was a cross-sectional study performed from August to July In conclusion, the Chinese version of the HFRM had good reliability and validity in assessing the fall risk of elderly inpatients. The independent sample t test was used to analyze discriminant validity of Stratify, Hendrich II Fall Risk Model and Morse Fall Scale, and the Spearman rank correlation coefficient was adopted to analyze their correlativity.
In order to assuring their consistency of the understanding and implementing about the items of scales and the test methods, and avoiding errors between various testers occurred in test, these two testers received unified training, 30 min before testing patients, which was to introduce the application aim and meaning of the rating scales, test methods and requirement of filling, and to discuss and analyze the divergence of rating scales application, finally, reach an agreement.
Generally, scales with more items will have higher Crobach’s alpha coefficient. Falls occurred for32 participants during hospitalization.
Funding Statement The authors have no support or funding to report. Therefore, foreign experts suggest that Stratify can be regarded as a simple testing method for basic movement ability of elderly population [ 78 ].
Conceived and designed the experiments: According to the history of fall in recent one year, these patients were divided into fall group and nonfall group, patients a group. Hendrich Fall Risk Model was first used to assess the balance function of the elderly patients with stroke [ 1112 ]. Receiver operating characteristic ROC curves were created to determine the sensitivity and specificity.
To explore the sensibility and specificity of StratifyHendrich II Fall Risk Ij 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. Even though many scholars tried to develop various fall risk assessment tools for different people, none of them with a recognized reliability and validity and better predictive ability is suitable for all types of people [ 6 ].
Patients were eligible for the study if they were over 60 years old and had no mocel 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.
Hendrich II Fall Risk Model |
Sixty cases were evaluated again by the same researcher 3 days after the bendrich evaluation. The intra-class correlation coefficient ICC of inter-rater reliability was 0.
And the patient who has two risk factors of fall mentioned above belongs to the high risk group of falling. Therefore, we wanted to introduce HFRM in China to improve the identification of patients hendrch high risk of falling.
First, all participants were recruited from one hospital; thus, afll results might not be extrapolated to the general Chinese elderly population. The elderly has high risk in fall, and almost half of the elder people who are over 60 years old have falling experience. Hospital medical workers have no time to lose in using long and complicated scales [ 12 ].
So it can help to distinguish the high risk group in the elderly patients. Firstly, all patients must write fll consent. At present, there are few rating scales which is used to predict the fall risk specially, reported in China, so this study applies Stratify, Hendrich II Fall Risk Model, and Morse Fall Scale, which are commonly used in clinical, to estimate the fall risk of the elderly patients, explores their discriminant validity and correlativity, and provides objective basis for clinical nurses in preventing the elderly patients fall.
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.
Evaluation of three fall-risk assessment tools in an acute care setting. 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 ].
Patients at high risk of falls can be effectively identified using appropriate predictive tools [ 7 ]. The data was processed using statistical analysis software SPSS Data collection After obtaining the consent of the author Dr.
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.
After the first evaluation, all participants were evaluated every week using the same instrument.
Hendrich II Fall : FUNDAMENTALS OF NURSING:
Falls are described as any sudden, unexpected and unintentional occurrence resulting in a patient landing on the ground or at lower level [ 1 ]. The fall risk factors of MFS assessment include history of falling, several diseases, gait, and frequency of micturition, urgency of urination, cognitive impairment or over confidence when receiving intravenous infusion, so this scale is used to evaluate the elderly in-patients properly.
The panel group agreed that all items of the HFRM were relevant to detect the likelihood of falls in at-risk patients. National Center for Biotechnology InformationU. Assessing patients in a neurology practice for risk of falls an evidence-based review: The items and grading standards are following: Two researchers evaluated the same subjects independently.