scholarly journals Fall Risk Assessment Scales: A Systematic Literature Review

2021 ◽  
Vol 11 (2) ◽  
pp. 430-443
Author(s):  
Veronica Strini ◽  
Roberta Schiavolin ◽  
Angela Prendin
Keyword(s):  
Risk Assessment ◽  
Fall Risk ◽  
Assessment Tool ◽  
Public Health Problem ◽  
Assessment Tools ◽  
Major Public Health Problem ◽  
Simultaneous Application ◽  
Fall Risk Assessment ◽  
Depth Analysis ◽  
Risk Assessment Tools

Background: Falls are recognized globally as a major public health problem. Although the elderly are the most affected population, it should be noted that the pediatric population is also very susceptible to the risk of falling. The fall risk approach is the assessment tool. There are different types of tools used in both clinical and territorial settings. Material and methods: In the month of January 2021, a literature search was undertaken of MEDLINE, CINHAL and The Cochrane Database, adopting as limits: last 10 years, abstract available, and English and Italian language. The search terms used were “Accidental Falls” AND “Risk Assessment” and “Fall Risk Assessment Tool” or “Fall Risk Assessment Tools”. Results: From the 115 selected articles, 38 different fall risk assessment tools were identified, divided into two groups: the first with the main tools present in the literature, and the second represented by tools of some specific areas, of lesser use and with less supporting literature. Most of these articles are prospective cohort or cross-sectional studies. All articles focus on presenting, creating or validating fall risk assessment tools. Conclusion: Due to the multidimensional nature of falling risk, there is no “ideal” tool that can be used in any context or that performs a perfect risk assessment. For this reason, a simultaneous application of multiple tools is recommended, and a direct and in-depth analysis by the healthcare professional is essential.

scholarly journals Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data (Preprint)

2018 ◽  
Author(s):  
Insook Cho ◽  
Eun-Hee Boo ◽  
Eunja Chung ◽  
David W. Bates ◽  
Patricia Dykes
Keyword(s):  
Risk Assessment ◽  
Error Rate ◽  
Fall Risk ◽  
Assessment Tool ◽  
Assessment Tools ◽  
Fall Risk Assessment ◽  
C Statistic ◽  
Risk Assessment Tools ◽  
Hospital Days ◽  
Cross Site

BACKGROUND Electronic medical records (EMRs) contain a considerable amount of information about patients. The rapid adoption of EMRs and the integration of nursing data into clinical repositories have made large quantities of clinical data available for both clinical practice and research. OBJECTIVE In this study, we aimed to investigate whether readily available longitudinal EMR data including nursing records could be utilized to compute the risk of inpatient falls and to assess their accuracy compared with existing fall risk assessment tools. METHODS We used 2 study cohorts from 2 tertiary hospitals, located near Seoul, South Korea, with different EMR systems. The modeling cohort included 14,307 admissions (122,179 hospital days), and the validation cohort comprised 21,172 admissions (175,592 hospital days) from each of 6 nursing units. A probabilistic Bayesian network model was used, and patient data were divided into windows with a length of 24 hours. In addition, data on existing fall risk assessment tools, nursing processes, Korean Patient Classification System groups, and medications and administration data were used as model parameters. Model evaluation metrics were averaged using 10-fold cross-validation. RESULTS The initial model showed an error rate of 11.7% and a spherical payoff of 0.91 with a c-statistic of 0.96, which represent far superior performance compared with that for the existing fall risk assessment tool (c-statistic=0.69). The cross-site validation revealed an error rate of 4.87% and a spherical payoff of 0.96 with a c-statistic of 0.99 compared with a c-statistic of 0.65 for the existing fall risk assessment tool. The calibration curves for the model displayed more reliable results than those for the fall risk assessment tools alone. In addition, nursing intervention data showed potential contributions to reducing the variance in the fall rate as did the risk factors of individual patients. CONCLUSIONS A risk prediction model that considers longitudinal EMR data including nursing interventions can improve the ability to identify individual patients likely to fall.

scholarly journals POPULATION- SPECIFIC FALL RISK ASSESSMENT TOOLS FOR ADULT INPATIENTS: A SYSTEMISED LITERATURE REVIEW

2020 ◽  
pp. 62-63
Author(s):  
Priya Padmanabhan ◽  
Salumon Chandrasekaran
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Literature Review ◽  
Fall Risk ◽  
Assessment Tool ◽  
Cleveland Clinic ◽  
Assessment Tools ◽  
Fall Risk Assessment ◽  
Specific Risk ◽  
Risk Assessment Tools

Fall is one of the most commonly reported adverse events from the hospitals and around one-third of them result in injury. A carefully tailored fall reduction program begins with the identification of the “at-risk” population. Commonly used adult fall risk assessment tools do not take into consideration the risk factors of some of the vulnerable patient populations. This paper provides a systemised literature review of the need and availability of population-specific risk assessment tools. One of the most commonly used tools - Morse Fall Scale- does not assess the effect of certain medications and population-specific risk factors. The Cleveland Clinic – Capone- Albert (CC-CA) Fall Risk Score is a tool that is specifically developed for cancer patients. Similarly, Obstetric Fall Risk Assessment Tool (OFRAS) helps in identifying the fall risk factors in perinatal women. Usage of such population-specific tools help in focused identification of risks, distinct implementation of interventions and thus, results in reducing the incidents of falls and injuries thereof.

Relationship between malnutrition and different fall risk assessment tools in a geriatric in-patient unit

2019 ◽  
Vol 32 (7) ◽  
pp. 1279-1287 ◽  
Author(s):  
Nermien Naim Adly ◽  
Wafaa Mostafa Abd-El-Gawad ◽  
Rania Mohammed Abou-Hashem
Keyword(s):  
Risk Assessment ◽  
Fall Risk ◽  
Assessment Tools ◽  
Fall Risk Assessment ◽  
Risk Assessment Tools

Evaluation of three fall-risk assessment tools in an acute care setting

2007 ◽  
Vol 60 (4) ◽  
pp. 427-435 ◽  
Author(s):  
Emily Ang Neo Kim ◽  
Siti Zubaidah Mordiffi ◽  
Wong Hwee Bee ◽  
Kamala Devi ◽  
David Evans
Keyword(s):  
Risk Assessment ◽  
Acute Care ◽  
Fall Risk ◽  
Care Setting ◽  
Assessment Tools ◽  
Acute Care Setting ◽  
Fall Risk Assessment ◽  
Risk Assessment Tools
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