HENDRICH II FALL RISK MODEL PDF
6 Nov 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. 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. Objective: 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.
|Published (Last):||23 September 2004|
|PDF File Size:||9.64 Mb|
|ePub File Size:||3.65 Mb|
|Price:||Free* [*Free Regsitration Required]|
A convenience sample of participants from the original was recruited in order to determine the test-retest and inter-rater reliability. The AUC was 0. Prevention of patient falls is an important aspect of patient safety management, particularly in elderly patients who often present impaired balance and who are at higher risk of fracture [ 2 ].
Data Availability All relevant data are within the paper and its Supporting Information files. However, they suggested modifying some language expressions to make the scale more concise and easier to understand. From October to December,a total of elderly inpatients in the affiliated hospital of Qingdao university were selected. In this study, falls occurred for32 patients during hospitalization. Categorical data are expressed as frequencies.
Age ranged from 60 to 92 movel, for a mean of These results provided supporting evidence for the choice of the HFRM to screen older patients at risk of falling in acute care settings [ 16 ], and supported the results of the present study. 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.
Secondly, a too short test-retest interval might increase the test-retest reliability measures.
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.
Evaluation of three fall-risk assessment tools in an acute care setting.
Int J Nurs Stud. National Center for Biotechnology InformationU. The total score isthe higher score, the higher risk of falling. The Chinese version of the HFRM showed good reliability and validity in assessing the risk of fall in Chinese elderly inpatients. Reliability of the Chinese version of the HFRM The test-retest reliability, inter-rater reliability and internal consistency reliability were assessed.
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. Falls have negative impacts such as delaying patient rehabilitation, suing, dissatisfaction and economic losses.
The items and grading standards are following: Funding Statement The authors have no support or funding to report. Author information Article notes Copyright and License information Disclaimer. Published online Nov 6.
InIvziku et al. And the patient who has two risk factors of fall mentioned above belongs to the high risk group of falling. 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.
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. Future, studies might be performed using different scales in different Chinese elderly populations.
Page Not Found
The evaluation for fall risk factors is essential to prevent falls. Fall can affect the health and live quality of the elderly severely, in which nearly hendrjch may result in serious injury, including brain trauma, fracture and other physical injury and anxiety, fear and other psychological damage. The panel group also evaluated the content validity of HFRM. The items were found loading into three factors, and the cumulative percentage accounted for Falls occurred for32 participants during hospitalization.
Furthermore, patients were evaluated with these three rating scales at the same moment, the correlation analysis about the score indicated that Stratify had highly positive mosel with Hendrich II Fall Risk Model, but also MFS.
In recent years, accidental falls happening to hospitalized patients has gradually gained people’s attention. Validity was determined using construct validity and convergent validity. At present, there are few rating scales which is used to predict the fall risk specially, reported io 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.
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 ].
Hendrich II Fall Risk Model |
Indeed, a study had compared the reliability and validity of these three scales in an Australia hospital using cases, and every case was assessed using these three scales; finally, the HFRM oi the best balance of sensitivity and specificity, but STRATIFY required the less time to complete [ 13 ]. However, due to its fall risk factors of assessment, such hendricg 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.
Table 1 Table 1 Baseline characteristics of study subjects. InCaldevilla et al.
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.
DOCX Click here for additional data file. Therefore, clinically nurses should adopt them based on the features and requirements of the elderly patients. How to try this: Consecutive patients were selected to represent the Chinese elder inpatients population. Conceived and designed the experiments: In addition, all of they gave written informed consent. Assessing patients in a neurology practice for risk of falls an evidence-based review: Open in a separate window.