Relevant bibliographies by topics / Fall risk assessment

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Fall risk assessment'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 June 2025

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Journal articles on the topic "Fall risk assessment"

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Teo, Shyh Poh. "Fall Risk Assessment Tools." Italian Journal of Medicine 13, no. 4 (2019): 200–204. http://dx.doi.org/10.4081/itjm.2019.1196.

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Falls in hospital are common and have serious consequences for patients, including physical and psychological harm, increase length of stay and hospital costs. A systematic approach is required to report and identify factors contributing to in-hospital falls and develop interventions to reduce inpatient fall rates. Different hospital settings have different fall rates and characteristics depending on type of hospital service and admission diagnosis. Screening tools were developed to assess fall risk but are usually insensitive to be useful in reducing falls. There is also a need for prospective validation in each hospital setting to ensure accuracy, resulting in a move away from using such scoring tools. A recommended approach for fall risk assessment is given, which integrates the process for outpatient settings and inpatients.
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Smith, Angela K., and Amy Porter. "Fall Risk Assessment and Intervention." Perspectives on Public Health Issues Related to Hearing and Balance 14, no. 1 (2013): 4–10. http://dx.doi.org/10.1044/phi14.1.4.

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Falls are a substantial hazard to the health and independence of older adults in the United States. It is purported that one in every three older adults fall annually, generally resulting in devastating injuries. A number of factors have been identified that influence the risk of falling in the elderly population. It is believed that providing assessments to identify an individual’s risk factors ahead of time and addressing these factors, to reduce or eliminate the risk(s), will reduce the frequency and severity of falls. Identifying and addressing these risk factors is a multifaceted concept, which requires a collaborative solution. It is the purpose of this article to emphasize the audiologist’s unique position to take part in implementing a much needed fall risk assessment in the elderly, as well as to highlight components of an effective fall risk assessment and treatment protocol.
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Farmer, Bonnie Cashin. "Fall Risk Assessment." Journal of Gerontological Nursing 26, no. 7 (2000): 6–7. http://dx.doi.org/10.3928/0098-9134-20000701-08.

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Vivrette, Rebecca L., Laurence Z. Rubenstein, Jennifer L. Martin, Karen R. Josephson, and B. Josea Kramer. "Development of a Fall-Risk Self-Assessment for Community-Dwelling Seniors." Journal of Aging and Physical Activity 19, no. 1 (2011): 16–29. http://dx.doi.org/10.1123/japa.19.1.16.

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Objective:To determine seniors’ beliefs about falls and design a fall-risk self-assessment and educational materials to promote early identification of evidence-based fall risks and encourage prevention behaviors.Methods:Focus groups with community-dwelling seniors, conducted in two phases to identify perceptions about fall risks and risk reduction and to assess face validity of the fall-risk self-assessment and acceptability of educational materials.Results:Lay perception of fall risks was in general concordance with evidence-based research. Maintaining independence and positive tone were perceived as key motivators for fall prevention. Seniors intended to use information in the educational tool to stimulate discussions about falls with health care providers.Implications:An evidence-based, educational fall-risk self-assessment acceptable to older adults can build on existing lay knowledge about fall risks and perception that falls are a relevant problem and can educate seniors about their specific risks and how to minimize them.
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MacAvoy, Suzanne, Teresa Skinner, and Maria Hines. "Fall risk assessment tool." Applied Nursing Research 9, no. 4 (1996): 213–18. http://dx.doi.org/10.1016/s0897-1897(96)80127-3.

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Kim, Yoon Sook, and Smi Choi-Kwon. "Fall Risk Factors and Fall Risk Assessment of Inpatients." Korean Journal of Adult Nursing 25, no. 1 (2013): 74. http://dx.doi.org/10.7475/kjan.2013.25.1.74.

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Norman, Kathleen J., and John P. Hirdes. "Evaluation of the Predictive Accuracy of the interRAI Falls Clinical Assessment Protocol, Scott Fall Risk Screen, and a Supplementary Falls Risk Assessment Tool Used in Residential Long-Term Care: A Retrospective Cohort Study." Canadian Journal on Aging / La Revue canadienne du vieillissement 39, no. 4 (2020): 521–32. http://dx.doi.org/10.1017/s0714980820000021.

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ABSTRACTFalls in residential long-term care (LTC) facilities continue to be a leading cause of injury for residents and cost for the health care system. Interdisciplinary clinical teams are responsible for assessing risk levels for their residents and developing appropriate care plans and interventions in response. This study compares the predictive accuracy of three separate fall risk assessment tools: the interRAI Falls Clinical Assessment Protocol (CAP), derived from the LTC Facility (LTCF) or Minimum Data Set (MDS) 2.0 assessments; the Scott Fall Risk Screen; and a modified Fall Risk Tool that was implemented as part of a provincial Fall Reduction Strategy in Nova Scotia. To conduct this retrospective cohort study, secondary data were collected from 1,553 LTC residents with interRAI assessments completed between March 1, 2015 and September 29, 2016, across Nova Scotia and New Brunswick. For each resident, data were collected regarding the three fall risk assessments, along with fall incident data for use in sensitivity, specificity, and logistic regression analyses. This study found that although all three tools had limitations with sensitivity or specificity thresholds, the interRAI Falls CAP delivered the highest accuracy with a c-statistic of 0.673, compared with the Scott Fall Risk Screen at 0.529 and the modified Fall Risk Tool at 0.609. When diseases that have been established to be a risk factor for falls were added to the model, the overall accuracy of the interRAI Falls CAP combined with those covariates increased to 0.749. These results suggest that the best practice guidelines for fall risk assessment be revisited, and that the interRAI Falls CAP could potentially be updated to include certain diseases and controls for optimal predictive ability.
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Duc, Morgane, Anne-Gabrielle Mittaz Hager, Damiano Zemp, Guillaume Roulet, Alice Bridel, and Roger Hilfiker. "Current practices of physiotherapists in Switzerland regarding fall risk-assessment for community-dwelling older adults: A national cross-sectional survey." F1000Research 11 (May 12, 2022): 513. http://dx.doi.org/10.12688/f1000research.73636.1.

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Background: Falls can strongly impact older people’s quality of life, health, and lifestyle. Multifactorial assessment can determine an individual’s risk of falling as the first step for fall prevention intervention. Physiotherapists have an essential role to play in assessing fall risk by older adults living in the community. In the absence of published data on this topic in Switzerland, this study investigated the current practices of physiotherapists to determine whether those are in line with recommendations. Methods: An anonymous cross-sectional survey was undertaken among physiotherapists practising in Switzerland between the 21st of November and the 31st of December 2020. A priori and exploratory hypotheses were tested. Responses to open-ended questions were grouped into themes for analysis. Results: A total of 938 questionnaires from all three language regions of Switzerland was analysed. Participants worked in different settings, with a higher representation of private practice self-employees (56%). Standardised fall risk assessments or instruments were used by 580 (62%) participants, while 235 (25%) preferred subjective assessment of fall risk only. Differences in fall risk assessment were observed according to the workplace setting (adjusted OR 1.93, 95% CI 1.37 to 2.7) and education level (trend test, p<0.001). The standardised assessments most frequently employed were the Berg Balance Scale (57.5%), the Timed-Up-and-Go (56.5%) and the Tinetti Balance Assessment tool (46.7%). Risk factors for falls were frequently queried, particularly history of falls (88.3%), home hazards (84.1%), and functional ability (81%). Technical resources (39.8%), knowledge (30.3%), and time (22.2%) were common barriers to implement a systematic fall risk assessment. Conclusions: This study provides an overview of the current practices of physiotherapists in Switzerland in fall risk assessment. There is still room to optimise the standardisation and systematisation of this assessment to implement a best practice strategy and prevent avoidable falls.
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Haescher, Marian, Wencke Chodan, Florian Höpfner, et al. "Automated fall risk assessment of elderly using wearable devices." Journal of Rehabilitation and Assistive Technologies Engineering 7 (January 2020): 205566832094620. http://dx.doi.org/10.1177/2055668320946209.

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Introduction Falls cause major expenses in the healthcare sector. We investigate the ability of supporting a fall risk assessment by introducing algorithms for automated assessments of standardized fall risk-related tests via wearable devices. Methods In a study, 13 participants conducted the standardized 6-Minutes Walk Test, the Timed-Up-and-Go Test, the 30-Second Sit-to-Stand Test, and the 4-Stage Balance Test repeatedly, producing 226 tests in total. Automated algorithms computed by wearable devices, as well as a visual analysis of the recorded data streams, were compared to the observational results conducted by physiotherapists. Results There was a high congruence between automated assessments and the ground truth for all four test types (ranging from 78.15% to 96.55%), with deviations ranging all well within one standard deviation of the ground truth. Fall risk (assessed by questionnaire) correlated with the individual tests. Conclusions The automated fall risk assessment using wearable devices and algorithms matches the validity of the ground truth, thus providing a resourceful alternative to the effortful observational assessment, while minimizing the risk of human error. No single test can predict overall fall risk; instead, a much more complex model with additional input parameters (e.g., fall history, medication etc.) is needed.
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Nur, Hirza Ainin, Edi Dharmana, and Agus Santoso. "Pelaksanaan Asesmen Risiko Jatuh di Rumah Sakit." Jurnal Ners dan Kebidanan Indonesia 5, no. 2 (2017): 123. http://dx.doi.org/10.21927/jnki.2017.5(2).123-133.

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<em>Falls are the most worrying incidence of patients in the hospital and that has an impact on injury and even death. The incidence was second ranks of adverse event after medication errors. Hospitals are already making efforts to reduce the fall incident but in reality, the incidence of falls still occurs. Data obtained from March to September 2016 have 6 cases of incident patients falling from a total of 43 patient safety incidents. The results of the observations show that most of the fall prevention programs that have not been done are falling risk assessments. Fall risk assessment is the first step to prevent the occurrence of falls in the patient, if not done then the incident will occur. This study aims to explore the implementation of falls risk assessment conducted by nurses in the hospital wards. The research method using qualitative research with phenomenology approach. The population used is inpatient ward nurses as many as 304 nurses.The sample used by purposive sampling technique with 10 informants. Data collection using primary and secondary data. Primary data obtained by in-depth interview with </em>semi-structured<em> interview to all informants. Secondary data was used document review of SOP prevention of fall risk, assessment protocol, and patient's medical record status. Data analysis used Miles and Huberman analysis model by reducing data, making display data, and drawing conclusions. The results of the research are two themes that are the existence of internal training and socialization affects the nurse's understanding of the implementation of falls risk assessment both initial of falls risk assessment and re-assessment of falls risk and implementation of falls risk assessment influenced by the inhibiting and supporting factors, both of these factors affect compliance of falls risk assessment conducted by the nurse. This study suggests that the understanding of fall risk assessment does not guarantee the nurse to always adhere to the implementation of fall risk assessment. It is expected that there will be cooperation between hospital management, working group prevention of falls risk, and head of ward to always supervise and monitor evaluation related to implementation of falls risk assessment along with giving reward and punishment.</em>
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Dissertations / Theses on the topic "Fall risk assessment"

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Zhang, Xiaoyue. "Fall Risk Assessment By Measuring Determinants Of Gait." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/24535.

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Fall accidents are one of the most serious problems leading to unintentional injuries and fatalities among older adults. However, it is difficult to assess individuals' fall risk and to determine who are at risk of falls and in need of fall interventions. Therefore, this study was motivated by a need to provide a cogent fall risk assessment strategy that may be conducive to various wireless platforms. It aimed at developing a fall risk assessment method for evaluating individuals' fall risk by providing diagnostic modalities associated with gait. In this study, a "determinants of gait" model was adopted to analyze gait characteristics and associate them with fall risk. As a proof of concept, this study concentrated on slip-induced falls and the slip initiation risks. Two important parameters of determinants of gait, i.e. the pelvic rotation and the knee flexion, were found to be associated with slip initiation severity. This relationship appeared to be capable of differentiating fallers and non-fallers within older adults, as well as differentiating normal walking conditions and constrained walking conditions. Furthermore, this study also leveraged portable wireless sensor techniques and investigated if miniature inertial measurement units could effectively measure the important parameters of determinants of gait, and therefore assess slip and fall risk. Results in this study suggested that pelvic rotation and knee flexion measured by the inertial measurement units can be used as a substitution of the traditional motion capture system and can assess slip and fall risk with fairly good accuracy. As a summary, findings of this study filled the knowledge gap about how critical gait characteristics can influence slip and fall risk, and demonstrated a new solution to assess slip and fall risk with low cost and high efficiency.<br>Ph. D.
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Vonderhaar-Picard, Vanessa. "Identification of High Fall Risk Patients in Acute Rehab." Mount St. Joseph University Dept. of Nursing / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=msjdn1557840767904783.

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Grönlund, Mattias, and Sebastian Olsson. "Bedömning av fallrisk hos patienter som vårdas inneliggande på sjukhus och inom kommunal vård : Med hjälp av Downton Fall Risk Index." Thesis, Högskolan Kristianstad, Sektionen för Hälsa och Samhälle, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-7566.

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Background: Fall injuries are a costly problem for society, with costs ranging up to 14 billion a year. In addition to economic loss accidental falls also creates human value losses and reduced quality of life for its victims. In order to prevent the occurrence of injury related to accidental falls healthcare providers utilize various scientifically developed risk assessment tools, one of them being Downton Fall Risk Index. Method: Empirical, quantitative cross-sectional study. Objective: The purpose of the extended essay was to describe the categories in Downton Fall Risk Index that have a bearing on patients' risk of falling while in hospital and in municipal care, and to illustrate how nurses can use the fall risk assessment tool. Results: Of the 708 participants a total of 73% had a high risk of falling according to Downton Fall Risk Index, of the patients being treated at a hospital 66% had high risk of falling and of the patients being treated in municipal care 87% had high risk of falling. Downton Fall Risk Index indicates that the medication was by far the largest category and included 576 patients (81%), followed by sensory impairment in 474 patients (67%). 335 patients (47%) had fallen previously. Discussion: Previous studies show that among patients being treated in hospitals, between 1.3 to 2.1% will fall. Downton Fall Risk Index indicates that 66% of the group of patients are at high risk of falling. This may be due to the fact that Downton Fall Risk Index focuses too much on medication. It is the nurse’s responsibility to coordinate work around the patient in order to minimize the risk of falling. For example, contact an occupational therapist or an ophthalmologist who can undertake specific actions to reduce patients' risk of falling. Nurses should also use appropriate risk assessment tools to identify risk factors in the patient and then use these to formulate a nursing diagnosis. Conclusion: Downton Fall Risk Index is too sensitive to be used on hospitalized patients, the instrument works better in patients being treated in municipal care. It is important that the nurse can use scientifically designed tool for ensuring good health care for the patient, tools such as the fall risk assessment tool.<br>Bakgrund: Fallskador är ett dyrt problem för samhället med kostnader som sträcker sig upp mot 14 miljarder kronor om året i Sverige. Förutom ekonomiska förluster skapar fall även humanvärdesförluster och försämrad livskvalitet för den drabbade. För att förhindra uppkomsten av fallskador används inom sjukvården olika vetenskapligt framtagna fallriskbedömningsinstrument, ett av dessa är Downton Fall Risk Index. Metod: Empirisk, kvantitativ tvärsnittsstudie. Syfte: Syftet med fördjupningsarbetet är att beskriva vilka kategorier i Downton Fall Risk Index som har betydelse för patienters fallrisk vid vistelse på sjukhus och vid kommunal vård, samt att belysa hur sjuksköterskan kan använda Fallriskbedömningsinstrument. Resultat: Av de 708 medverkande hade totalt 73% hög risk att falla enligt Downton Fall Risk Index, på sjukhus hade 66% av patienterna hög risk att falla och i kommunal vård hade 87% av patienterna hög risk att falla. Downton Fall Risk Index anger att medicinering var den klart största kategorin och inkluderade 576 av patienterna (81%), därefter kom sensorisk funktionsnedsättning med 474 patienter (67%). 335 patienter (47%) hade fallit tidigare. Diskussion: Tidigare studier visar att på sjukhus faller mellan 1,3-2,1% av patienterna. Downton Fall Risk Index anger att 66% av samma patientgrupp har hög risk för fall. Detta kan bero på att Downton Fall Risk Index fokuserar för mycket på medicinering. Det är sjuksköterskans uppgift att samordna arbetet runt patienten så att fallrisken minimeras. Till exempel ska sjuksköterskan kontakta arbetsterapeuter eller ögonläkare som kan utföra punktinsatser för att minska patientens fallrisk. Sjuksköterskan ska även använda fallriskbedömningsinstrument för att identifiera riskfaktorer hos patienten och sedan använda dessa för att utforma en omvårdnadsdiagnos. Slutsats: Downton Fall Risk Index är alldeles för känsligt för att kunna användas på patienter inneliggande på sjukhus, instrumentet fungerar bättre på patienter inneliggande i kommunal vård. Det är viktigt att sjuksköterskan kan använda vetenskapligt utformade verktyg för att säkerställa en god omvårdnad för patienten, verktyg såsom Fallriskbedömningsinstrument.
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Aliu, Omokhele Rosemary. "Frequent Fall Risk Assessment Reduces Fall Rates in Elderly Patients in Long-Term Care." Thesis, Walden University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10256725.

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<p> Falls are a serious issue for the elderly living in long-term care facilities, as falls contribute to significant health problems such as increased dependence, loss of autonomy, confusion, immobilization, depression, restriction in daily activities, and, in some cases, death. An estimated 424,000 fatal falls in elderly patients residing in long-term facilities occur annually in the United States costing $34 billion in direct medical costs. One way to reduce falls among elderly patients in long-term care is to assess for fall risk frequently and implement evidence-based strategies to prevent falls. Patients in this project site facility had been assessed for fall risk via the Briggs Fall Risk Assessment Tool with implementation of fall risk iinterventions only upon admission or when there was a fall. The purpose of this project was to assess whether changing to weekly use of the Briggs Fall Risk Assessment Tool with implementation of fall risk interventions by nursing staff could decrease fall rates in the elderly in long-term care in Harris County, Texas. The model of prevention served as the conceptual framework for this project. Thirty participants (20 females and 10 males) between the ages of 65-115 participated in the program. Pre-implementation data were collected for 1 month and post-implementation data were collected for 1 month. The total number of falls reported weekly was counted before and after the weekly implementation of the Briggs Fall Risk Assessment Tool. The number of falls decreased from 12(70.6%) before the implementation of the assessment tool to 5(29.4%) falls afterwards. A fall prevention program in long-term care may affect social change positively by reducing fall risk in long term care by reinforcing the importance of increased awareness of risk of falls to implement fall prevention strategies</p>
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Myers, Helen. "Fall risk assessment : A prospective investigation of nurses' clinical judgement and risk assessment tools in predicting patient falls in an acute care setting." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2003. https://ro.ecu.edu.au/theses/1494.

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Falls are a significant problem in acute care, hospital settings, and can have serious consequences, especially for older patients. Fall prevention has therefore been recognised as an important area for research and intervention. In order to target interventions and use resources effectively, a major strategy of many fall prevention programmes has been the development and/or use of risk assessment tools to identify patients who are at high risk of falling. Although many tools have been developed, few have been rigorously tested, and there is currently no evidence to support the clinical utility of fall risk assessment tools. There is a need to conduct further research to establish the efficacy of fall risk assessment tools for inpatient populations. Additionally, nurses clinical judgement in assessing fall risk may aid the development of fall risk assessment protocols and further research is needed to build on limited knowledge in this area. A prospective cohort study was used to evaluate two fall risk assessment tools and nurses' clinical judgement in predicting patient falls. Each patient was assessed for fall risk by the clinical judgement of the nurse caring for the patient and by the researcher using a data collection form containing the two fall risk assessment tools. The study wards comprised two aged care and rehabilitation wards, within a 570 bed acute care tertiary teaching hospital facility in Western Australia. Test-retest reliability of the two fall risk assessment tools and nurses' clinical judgement was established over a twenty four hour period. The ability of the fall risk assessment tools, and nurses' clinical judgements to discriminate between patients with a high probability of falling and , patients with a low probability of falling; was determined by calculating the sensitivity, specificity, positive predictive value and negative-predictive value for each method. The reference criterion used for these calculations was whether or not the patient fell within the hospitalisation period in which they were admitted to the study. In addition, the accuracy of each method was determined by calculating the number of times the risk assessment tool or clinical judgement classified the patient into the correct, fall risk category, expressed as a percentage. The same reference criterion was used for this calculation. Both the fall risk assessment tools and nurses' clinical judgement had good test-retest reliability. When assessing validity, all three methods of determining fall risk showed good sensitivity, ranging from 88% to 91 %,but poor specificity, ranging from 25% to 26%. This meant that the risk assessment methods classified too many patients who did not fall as at high risk for falling. All methods also had limited accuracy, ranging from 35% to 36%, and overall exhibited an inability to adequately discriminate between patient populations at risk of falling and those not at risk of falling. Consequently, neither nurses' clinical judgement nor the fall risk assessment tools could be recommended for assessing fall risk in the clinical setting. In addition, results indicated that there was a large difference between the accuracy of first year enrolled and registered nurses in assessing patient fall risk. First year enrolled nurses accurately predicted fall risk 44.4% of the time while first year registered nurses achieved an accuracy level of only 8.6%. These results are potentially biased, as measuring differences in accuracy between types of nurses was not a main focus of this study and in many cases the same nurse gave multiple judgements about patients' fall risk. The results however, provide an indication that further study is warranted using a specifically methodology to explore this issue. There are a number of specific recommendations arising from the results of this study. It is recommended that further studies be undertaken to assess the reliability and validity of current fall risk assessment tools in inpatient populations. If no valid and reliable fall risk assessment tool can be identified, research should be undertaken to develop such a tool. It is also recommended that studies be conducted to assess changes in fall risk profiles over time to determine if the sensitivity and specificity of instruments changes depending on the timing of the risk assessment. Differentiating between stable and transient risk factors should be an integral component of these types of studies. Further research is also required to determine if there are differences in fall risk factors between different specialties or if a generic risk assessment tool can be used for all inpatient populations. Additionally, further investigation into the clinical judgement of registered and enrolled nurses in .their first year of clinical practice should be undertaken and results reported to appropriate educational institutions. Changes in accuracy of clinical judgement in the first five years of clinical practice should also be measured.
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Bagalà, Fabio <1983&gt. "From fall-risk assessment to fall detection: inertial sensors in the clinical routine and daily life." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4842/.

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Falls are caused by complex interaction between multiple risk factors which may be modified by age, disease and environment. A variety of methods and tools for fall risk assessment have been proposed, but none of which is universally accepted. Existing tools are generally not capable of providing a quantitative predictive assessment of fall risk. The need for objective, cost-effective and clinically applicable methods would enable quantitative assessment of fall risk on a subject-specific basis. Tracking objectively falls risk could provide timely feedback about the effectiveness of administered interventions enabling intervention strategies to be modified or changed if found to be ineffective. Moreover, some of the fundamental factors leading to falls and what actually happens during a fall remain unclear. Objectively documented and measured falls are needed to improve knowledge of fall in order to develop more effective prevention strategies and prolong independent living. In the last decade, several research groups have developed sensor-based automatic or semi-automatic fall risk assessment tools using wearable inertial sensors. This approach may also serve to detect falls. At the moment, i) several fall-risk assessment studies based on inertial sensors, even if promising, lack of a biomechanical model-based approach which could provide accurate and more detailed measurements of interests (e.g., joint moments, forces) and ii) the number of published real-world fall data of older people in a real-world environment is minimal since most authors have used simulations with healthy volunteers as a surrogate for real-world falls. With these limitations in mind, this thesis aims i) to suggest a novel method for the kinematics and dynamics evaluation of functional motor tasks, often used in clinics for the fall-risk evaluation, through a body sensor network and a biomechanical approach and ii) to define the guidelines for a fall detection algorithm based on a real-world fall database availability.
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Belcher, Janet Maxine. "Quality Initiative to Reduce Falls in an Acute Care Setting." ScholarWorks, 2020. https://scholarworks.waldenu.edu/dissertations/7599.

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Falls are the most frequently reported incidents among hospitalized patients in the United States with at least 4 falls per 1,000 patient days occurring annually. Falls are related to high rates of mortality and morbidity and high hospital costs. The purpose of this project was to evaluate a fall prevention quality initiative to reduce falls in an acute care facility by educating staff on an evidence-based fall prevention protocol. The project sought to explore whether implementation of an evidence-based fall prevention initiative in educating nurses would affect the nurses’ professional knowledge and the number of patient fall incidences in the cardiac care unit. The theoretical framework supporting this project was Neuman’s systems theory. The Iowa model was used to guide this evidence-based project. An educational session was implemented to increase nurses’ awareness of fall prevention practices. Two sets of data were collected: the pretest and posttest results, and the number of falls on the unit. A total of 21 unit nurses participated in the pretest; 18 (86.0%) completed the posttest. The mean score on the pretest was 81.62%; the mean score was 85.89% for the posttest with a mean difference of 4.27%. A paired sample t-test revealed no statistically significant differences in scores after education. This project has implications for social change by supporting patient safety, decreased hospital stays, and reduced health care expenses to patients and health care organizations.
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Liu, Hok-kan Vino. "Systematic risk management approach to deal with boulder and rock fall hazard for road slope works." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B42577615.

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Nordin, Ellinor. "Assessment of balance control in relation to fall risk among older people." Doctoral thesis, Umeå universitet, Samhällsmedicin och rehabilitering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1933.

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Falls and their consequences among older people are a serious medical and public health problem. Identifying individuals at risk of falling is therefore a major concern. The purpose of this thesis was to evaluate measurement tools of balance control and their predictive value when screening for fall risk in physically dependent individuals ≥65 years old living in residential care facilities, and physically independent individuals ≥75 years old living in the community. Following baseline assessments falls were monitored during six months in physically dependent individuals based on staff reports, and during one year in physically independent individuals based on self reports. In physically dependent individuals test-retest reliability of the Timed Up&amp;Go test (TUG) was established in relation to cognitive impairment. Absolute reliability measures exposed substantial day-to-day variability in mobility performance at an individual level despite excellent relative reliability (ICC 1.1 &gt;0.90) regardless of cognitive function (MMSE ≥10). Fifty-three percent of the participants fell at least once during follow-up. Staff judgement of their residents’ fall risk had the best prognostic value for ruling in a fall risk in individuals judged with ‘high risk’ (positive Likelihood ratio, LR+ 2.8). Timed, and subjective rating of fall risk (modified Get Up&amp;Go test, GUG-m) were useful for ruling out a high fall risk in individuals with TUG scores &lt;15 seconds (negative LR, LR- 0.1) and GUG-m scores of ‘no fall risk’ (LR- 0.4), however few participants achieved such scores. In physically independent individuals balance control was challenged by dual-task performances. Subsequent dual-task costs in gait (DTC), i.e. the difference between single walking and walking with a simultaneous second task, were registered using an electronic mat. Forty-eight percent of the participants fell at least once during follow-up. A small prognostic guidance for ruling in a high fall risk was found for DTC in mean step width of ≤3.7 mm with a manual task (LR+ 2.3), and a small guidance for ruling out a high fall risk with DTC in mean step width of ≤3.6 mm with a cognitive task (LR- 0.5). In cross-sectional evaluations DTC related to an increased fall risk were associated with: sub-maximal physical performance stance scores (Odds Ratio, OR, 3.2 to 3.8), lower self-reported balance confidence (OR 2.6), higher activity avoidance (OR 2.1), mobility disability (OR 4.0), and cautious walking out-door (OR 3.0). However, these other measures of physical function failed to provide any guidance to fall risk in this population of seemingly able older persons. In conclusion – Fall risk assessments may guide clinicians in two directions, either in ruling in or in ruling out a high fall risk. A single cut-off score, however, does not necessarily give guidance in both directions. Staff experienced knowledge is superior to a single assessment of mobility performance for ruling in a high fall risk. Clinicians need to consider the day-to-day variability in mobility when interpreting the TUG score of a physically dependent individual. DTC of gait can, depending on the type of secondary task, indicate a functional limitation related to an increased fall risk or a flexible capacity related to a decreased fall risk. DTC in mean step width seems to be a valid measure of balance control in physically independent older people and may be a valuable part of the physical examination of balance and gait when screening for fall risk as other measures of balance control may fail to provide any guidance of fall risk in this population.
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Doire, Terry L. "Evaluating the Knowledge and Attitudes of Orthopedic Nurses Regarding the Use of SPHM Algorithms as a Standard of Care." NSUWorks, 2019. https://nsuworks.nova.edu/hpd_con_stuetd/63.

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Background: Healthcare workers are ranked among one of the top occupations for musculoskeletal disorder (MSD) injuries that affect the muscles, the bones, the nervous system and due to repetitive motion tasks (Centers for Disease Control and Prevention, 2017). Numerous high-risk patient handling tasks such as lifting, transferring, ambulating and repositioning of patients cause injuries that can be prevented when evidence-based solutions are used for safe patient handling and mobility (SPHM) tasks. Purpose: The purpose of this quality improvement project was to evaluate the knowledge and attitudes of orthopedic nurses regarding the use of SPHM algorithms as the standard of care when transferring patients. Theoretical Framework. Lewin’s Theory of Change Methods. A quasi-experimental pretest-post-test design was utilized in this evidenced-based practice project. Results. Descriptive statistics that evaluated pre and post questionnaires of the orthopedic nurses noted nurses displayed behavioral and attitudinal intent to use the SPHM algorithms as the standard of care to improve patient outcomes by decreasing falls. Although the behavioral beliefs and attitudes reflected acknowledgement of SPHM skills and knowledge, nursing did not improve in their documentation of SPH fall risk as two separate tools were required on each patient. Conclusions: SPHM evidenced-based standards do guide staff to critically examine how to safely transfer and mobilize a patient. Patient fall rates did decrease during educational sessions, prompting the need for on-going education of all staff on the unit that transfers patients. The findings from this quality project may encourage future practice approaches to use of the safe patient handling (SPH) fall risk assessment tool for all patients to prevent patient falls.
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Books on the topic "Fall risk assessment"

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Gordon, Joshua. Sleeping on the job: Shutdown of Peach Bottom Nuclear Power Plant highlights lax federal oversight of nuclear safety : government documents reveal that nuclear reactor operators regularly fall asleep on the job. Public Citizen, Critical Mass Energy Project, 1987.

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Association, American Nurses, ed. Five easy steps to prevent falls: The comprehensive guide to keeping patients of all ages safe. American Nurses Association, 2014.

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Huang, Hui-Chi. Risk assessment and interventions to prevent falls in older people in Taiwan. The author], 2001.

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Aikman, J. S. When prime brokers fail: The unheeded risk to hedge funds, banks, and the financial industry. Bloomberg Press, 2010.

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Aikman, J. S. When prime brokers fail: The unheeded risk to hedge funds, banks, and the financial industry. Bloomberg Press, 2010.

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The politics of expertise in Congress: The rise and fall of the Office of Technology Assessment. State University of New York Press, 1996.

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Canadian Dam Safety Conference (1996 Niagara Falls, Ont.). Proceedings of Canadian Dam Safety Conference: Niagara Falls, Ontario - October 1996. Riley's Reproduction & Printing Ltd., 1996.

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Evidence-based falls prevention: A study guide for nurses. 2nd ed. HCPro, 2007.

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Our children's toxic legacy: How science and law fail to protect us from pesticides. Yale University Press, 1996.

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Dabrowski, Stanislaw. The rise and fall of a program: An assessment of the Program in East European and Slavic Studies at the State University of New York College at Buffalo, 1968-1977. Polish Cultural Foundation, 1990.

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Book chapters on the topic "Fall risk assessment"

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Tiedemann, Anne, Catherine Sherrington, Daina L. Sturnieks, et al. "Fall Risk Assessment." In Encyclopedia of Exercise Medicine in Health and Disease. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_2391.

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Yang, Feng. "Slip and Fall Risk Assessment." In Handbook of Human Motion. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-14418-4_45.

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Yang, Feng. "Slip and Fall Risk Assessment." In Handbook of Human Motion. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30808-1_45-1.

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Danielsen, Asbjørn, Bernt Arild Bremdal, and Hans Olofsen. "Fall Risk Assessment and Prevention Using Wearables." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26410-3_18.

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Nizam, Yoosuf, and M. Mahadi Abdul Jamil. "A Novel Approach for Human Fall Detection and Fall Risk Assessment." In Challenges and Trends in Multimodal Fall Detection for Healthcare. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38748-8_10.

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Rescio, G., A. Leone, L. Giampetruzzi, and P. Siciliano. "Fall Risk Assessment Using New sEMG-Based Smart Socks." In Advances in Data Science: Methodologies and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51870-7_8.

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Nitta, Masayoshi, and Yusaku Okada. "Improvement Plan of Fall Risk Assessment in Medical Institution." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94589-7_17.

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Pozaic, Tomislav, Anna-Karina Grebe, Michael Grollmuss, Nino Haeberlen, and Wilhelm Stork. "Inter-limb Coordination Assessment and Fall Risk in ADL." In International Conference on Biomedical and Health Informatics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4505-9_1.

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Cárdenas, Jhonathan Sora, Martha Zequera Díaz, and Francisco Calderón Bocanegra. "Fall Risk Assessment in Older Adults with Diabetic Peripheral Neuropathy." In IFMBE Proceedings. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30636-6_54.

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Similä, Heidi, Milla Immonen, Carlos García Gordillo, Tuula Petäkoski-Hult, and Patrik Eklund. "Focus Group Evaluation of Scenarios for Fall Risk Assessment and Fall Prevention in Two Countries." In Ambient Assisted Living and Active Aging. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03092-0_6.

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Conference papers on the topic "Fall risk assessment"

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Beauchamp, MK, T. Janaudis-Ferreira, K. Hill, RS Goldstein, and D. Brooks. "Fall Risk Assessment in COPD." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a3857.

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Simila, Heidi, and Milla Immonen. "Disease state fingerprint for fall risk assessment." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944297.

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Silva, Joana, Nuno Cardoso, Jorge Ribeiro, et al. "FRADE: Pervasive Platform for Fall Risk Assessment, Prevention and Fall Detection." In 14th International Conference on Bio-inspired Systems and Signal Processing. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010328103200326.

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Allen, B., R. Derveloy, N. Fell, W. Gasior, G. Yu, and M. Sartipi. "Telemedicine assessment of fall risk using wireless sensors." In 2013 10th Annual IEEE Communications Society Conference on Sensing and Communication in Wireless Networks (SECON). IEEE, 2013. http://dx.doi.org/10.1109/sahcn.2013.6644987.

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Silva, Joana, João Madureira, Cláudia Tonelo, et al. "Comparing Machine Learning Approaches for Fall Risk Assessment." In 10th International Conference on Bio-inspired Systems and Signal Processing. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006227802230230.

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Tripathy, Soumya Ranjan, Kingshuk Chakravarty, and Aniruddha Sinha. "Eigen Posture Based Fall Risk Assessment System Using Kinect." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8513263.

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Guoqing, Sun, Du Kun, Chen Hao, and Xie Jingwei. "A Study of Fall Risk Assessment in the Elderly." In 2020 9th International Conference on Applied Science, Engineering and Technology (ICASET 2020). Atlantis Press, 2020. http://dx.doi.org/10.2991/aer.k.201203.033.

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Simila, Heidi, Milla Immonen, and Timo Niemirepo. "Mobile Fall Risk Assessment Solution for Daily-Life Settings." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8512589.

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Mazumder, Oishee, Soumya Tripathy, Sangheeta Roy, Kingshuk Chakravarty, Debatri Chatterjee, and Aniruddha Sinha. "Postural sway based geriatric fall risk assessment using kinect." In 2017 IEEE SENSORS. IEEE, 2017. http://dx.doi.org/10.1109/icsens.2017.8234214.

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Maccioni, Giovanni, Daniele Giansanti, and Velio Macellari. "Assessment of Fall Risk using a Pneumatic Pattern Generator." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4353447.

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Reports on the topic "Fall risk assessment"

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Rycroft, Taylor, Kerry Hamilton, Charles Haas, and Igor Linkov. A quantitative risk assessment method for synthetic biology products in the environment. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41331.

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The need to prevent possible adverse environmental health impacts resulting from synthetic biology (SynBio) products is widely acknowledged in both the SynBio risk literature and the global regulatory community. However, discussions of potential risks of SynBio products have been largely speculative, and the attempts to characterize the risks of SynBio products have been non-uniform and entirely qualitative. As the discipline continues to accelerate, a standardized risk assessment framework will become critical for ensuring that the environmental risks of these products are characterized in a consistent, reliable, and objective manner that incorporates all SynBio-unique risk factors. Current established risk assessment frameworks fall short of the features required of this standard framework. To address this, we propose the Quantitative Risk Assessment Method for Synthetic Biology Products (QRASynBio) – an incremental build on established risk assessment methodologies that supplements traditional paradigms with the SynBio risk factors that are currently absent and necessitates quantitative analysis for more transparent and objective risk characterizations. The proposed framework facilitates defensible quantification of the environmental risks of SynBio products in both foreseeable and hypothetical use scenarios. Additionally, we show how the proposed method can promote increased experimental investigation into the likelihood of hazard and exposure parameters and highlight the parameters where uncertainty should be reduced, leading to more targeted risk research and more precise characterizations of risk.
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Sciammarella, Francesco. Can Ambulance Paramedics use FRAX® (the WHO Fracture Risk Assessment Tool) to help GPs improve Future Fracture Risk in Patients that Fall? National Institute for Health Research, 2021. http://dx.doi.org/10.3310/nihropenres.1115161.1.

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Gardner, John M. Neurology Falls. Patient Falls Risk Assessment, Neurology Clinic, Johns Hopkins Hospital, Baltimore, MD. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada516519.

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Venäläinen, Ari, Sanna Luhtala, Mikko Laapas, et al. Sää- ja ilmastotiedot sekä uudet palvelut auttavat metsäbiotaloutta sopeutumaan ilmastonmuutokseen. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361317.

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Climate change will increase weather induced risks to forests, and thus effective adaptation measures are needed. In Säätyö project funded by the Ministry of Agriculture and Forestry, we have summarized the data that facilitate adaptation measures, developed weather and climate services that benefit forestry, and mapped what kind of new weather and climate services are needed in forestry. In addition, we have recorded key further development needs to promote adaptation. The Säätyö project developed a service product describing the harvesting conditions of trees based on the soil moisture assessment. The output includes an analysis of the current situation and a 10-day forecast. In the project we also tested the usefulness of long forecasts beyond three months. The weather forecasting service is sidelined and supplemented by another co-operation project between the Finnish Meteorological Institute and Metsäteho called HarvesterSeasons (https://harvesterseasons.com/). The HarvesterSeasons service utilizes long-term forecasts of up to 6 months to assess terrain bearing conditions. A test version of a wind damage risk tool was developed in cooperation with the Department of Forest Sciences of the University of Eastern Finland and the Finnish Meteorological Institute. It can be used to calculate the wind speeds required in a forest area for wind damage (falling trees). It is currently only suitable for researcher use. In the Säätyö project the possibility of locating the most severe wind damage areas immediately after a storm was also tested. The method is based on the spatial interpolation of wind observations. The method was used to analyze storms that caused forest damages in the summer and fall of 2020. The produced maps were considered illustrative and useful to those responsible for compiling the situational picture. The accumulation of snow on tree branches, can be modeled using weather data such as rainfall, temperature, air humidity, and wind speed. In the Säätyö project, the snow damage risk assessment model was further developed in such a way that, in addition to the accumulated snow load amount, the characteristics of the stand and the variations in terrain height were also taken into account. According to the verification performed, the importance of abiotic factors increased under extreme snow load conditions (winter 2017-2018). In ordinary winters, the importance of biotic factors was emphasized. According to the comparison, the actual snow damage could be explained well with the tested model. In the interviews and workshop, the uses of information products, their benefits, the conditions for their introduction and development opportunities were mapped. According to the results, diverse uses and benefits of information products and services were seen. Information products would make it possible to develop proactive forest management, which would reduce the economic costs caused by wind and snow damages. A more up-to-date understanding of harvesting conditions, enabled by information products, would enhance the implementation of harvesting and harvesting operations and the management of timber stocks, as well as reduce terrain, trunk and root damage. According to the study, the introduction of information is particularly affected by the availability of timeliness. Although the interviewees were not currently willing to pay for the information products developed in the project, the interviews highlighted several suggestions for the development of information products, which could make it possible to commercialize them.
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Downard, Alicia, Stephen Semmens, and Bryant Robbins. Automated characterization of ridge-swale patterns along the Mississippi River. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40439.

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The orientation of constructed levee embankments relative to alluvial swales is a useful measure for identifying regions susceptible to backward erosion piping (BEP). This research was conducted to create an automated, efficient process to classify patterns and orientations of swales within the Lower Mississippi Valley (LMV) to support levee risk assessments. Two machine learning algorithms are used to train the classification models: a convolutional neural network and a U-net. The resulting workflow can identify linear topographic features but is unable to reliably differentiate swales from other features, such as the levee structure and riverbanks. Further tuning of training data or manual identification of regions of interest could yield significantly better results. The workflow also provides an orientation to each linear feature to support subsequent analyses of position relative to levee alignments. While the individual models fall short of immediate applicability, the procedure provides a feasible, automated scheme to assist in swale classification and characterization within mature alluvial valley systems similar to LMV.
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Baseline risk assessment of ground water contamination at the uranium mill tailings site near Falls City, Texas: Revision 1. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10104660.

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