Letteratura scientifica selezionata sul tema "Falls"

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Articoli di riviste sul tema "Falls"

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Cave, Rachel. "When whale fall falls". New Scientist 199, n. 2668 (agosto 2008): 21. http://dx.doi.org/10.1016/s0262-4079(08)61989-2.

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Goh, Jing Wen, Devinder Kaur Ajit Singh e Suzana Shahar. "71 Discriminative Ability of a Falls Screening Mobile Application in Identifying Fallers among Community Dwelling Older Adults: Preliminary Results". Age and Ageing 48, Supplement_4 (dicembre 2019): iv18—iv27. http://dx.doi.org/10.1093/ageing/afz164.71.

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Abstract Introduction Early falls screening among community dwelling older adults is important as a part of falls prevention strategy. Falls Screening Mobile Application (FallSA) was demonstrated to be accepted, reliable and valid to be used for self-risk assessment among community dwelling older adults in an earlier study. However, its discriminative ability is unknown. We aimed to examine the discriminative ability of FallSA in classifying fallers and non-fallers among community dwelling older adults. Methodology A total of 182 community dwelling older adults with mean age of 71.42 ± 5.1 participated in this cross sectional study. Participants demographic and falls history data were obtained. Participants with one or more falls were categorized as fallers. FallSA was used to identify participants falls risk. Independent t-test was used to compare falls risk score among fallers and non-fallers for its discriminative ability. Results Approximately 20% participants were categorized as fallers. Majority of the fallers were females (66.7%), had lower physical activity level and higher scores of geriatric depression scales compared to non-fallers. There was a significant (p< 0.01) different in the FallSA score between fallers (7.33±1.77) and non-fallers (4.34±1.72). Conclusion Our study results showed that FallSA could be used to discriminate fallers and non-fallers in community dwelling older adults. Further studies are in progress to determine the predictive validity of FallSA.
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Wright, Stephen. "One falls, we all fall". Nursing Standard 24, n. 47 (28 luglio 2010): 26–27. http://dx.doi.org/10.7748/ns.24.47.26.s31.

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Davis, Kathy. "Trips, falls and fall injuries". Primary Health Care 24, n. 7 (26 agosto 2014): 16. http://dx.doi.org/10.7748/phc.24.7.16.s24.

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Singh, Devinder Kaur Ajit, Jing Wen Goh, Muhammad Iqbal Shaharudin e Suzana Shahar. "A Mobile App (FallSA) to Identify Fall Risk Among Malaysian Community-Dwelling Older Persons: Development and Validation Study". JMIR mHealth and uHealth 9, n. 10 (12 ottobre 2021): e23663. http://dx.doi.org/10.2196/23663.

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Background Recent falls prevention guidelines recommend early routine fall risk assessment among older persons. Objective The purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons. Methods FallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively. Results The findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P<.001) and agreement (k=.516, P<.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA also had good reliability (intraclass correlation .948; 95% CI .921-.966) and an internal consistency (α=.948, P<.001). FallSA score demonstrated a moderate to strong discriminative ability in classifying fallers and nonfallers. FallSA had a predictive validity of falls with positive likelihood ratio of 2.27, pooled sensitivity of 82% and specificity of 64%, and area under the curve of 0.802. Conclusions These results suggest that FallSA is a valid and reliable fall risk self-screening tool. Further studies are required to empower and engage older persons or care givers in the use of FallSA to self-screen for falls and thereafter to seek early prevention intervention.
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Duthie, E., D. Simpson, J. Myers, K. Denson e S. Denson. "Falls and Prevention of Fall Outcomes". Innovation in Aging 2, suppl_1 (1 novembre 2018): 361. http://dx.doi.org/10.1093/geroni/igy023.1336.

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Siegwart, Jennifer, Umberto Spennato, Nathalie Lerjen, Beat Mueller, Philipp Schuetz, Daniel Koch e Tristan Struja. "Prediction of In-Hospital Falls Using NRS, PACD Score and FallRS: A Retrospective Cohort Study". Geriatrics 8, n. 3 (1 giugno 2023): 60. http://dx.doi.org/10.3390/geriatrics8030060.

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Background: Harmful in-hospital falls with subsequent injuries often cause longer stays and subsequently higher costs. Early identification of fall risk may help in establishing preventive strategies. Objective: To assess the predictive ability of different clinical scores including the Post-acute care discharge (PACD) score and nutritional risk screening score (NRS), and to develop a new fall risk score (FallRS). Methods: A retrospective cohort study of medical in-patients of a Swiss tertiary care hospital from January 2016 to March 2022. We tested the ability of the PACD score, NRS and FallRS to predict a fall by using the area under curve (AUC). Adult patients with a length of stay of ≥ 2 days were eligible. Results: We included 19,270 admissions (43% females; median age, 71) of which 528 admissions (2.74%) had at least one fall during the hospital stay. The AUC varied between 0.61 (95% confidence interval (CI), 0.55–0.66) for the NRS and 0.69 (95% CI, 0.64–0.75) for the PACD score. The combined FallRS score had a slightly better AUC of 0.70 (95% CI, 0.65–0.75) but was more laborious to compute than the two other scores. At a cutoff of 13 points, the FallRS had a specificity of 77% and a sensitivity of 49% in predicting falls. Conclusions: We found that the scores focusing on different aspects of clinical care predicted the risk of falls with fair accuracy. A reliable score with which to predict falls could help in establishing preventive strategies for reducing in-hospital falls. Whether or not the scores presented have better predictive ability than more specific fall scores do will need to be validated in a prospective study.
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While, Alison E. "Falls and older people: understanding why people fall". British Journal of Community Nursing 25, n. 4 (2 aprile 2020): 173–77. http://dx.doi.org/10.12968/bjcn.2020.25.4.173.

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Falls are common among older people and a major public health challenge. This article describes why falls are more common among older people, the potential causes of falls and what assessments should be undertaken to inform preventive interventions. District nurses are well placed to contribute to the understanding of why an older person has had a fall as part of a falls risk assessment.
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Renshaw, Mark, Paula Tucker e Karen Norman. "Becoming fall-safe: a framework for reducing inpatient falls". British Journal of Nursing 29, n. 20 (12 novembre 2020): 1198–205. http://dx.doi.org/10.12968/bjon.2020.29.20.1198.

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This article describes a 10-year programme of work that has reduced inpatient falls rate by 46% and how this improvement has been sustained. The methodology applied in this initiative has forced one Trust to challenge expectations about the inevitability of patient falls in hospital. This initiative has resulted in approximately 568 fewer falls each year. Based on costings from NHS Improvement, the estimated 5108 fewer falls between 2011 and 2019 have saved the Trust £13.3 million.
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Morello, R. T., A. L. Barker, J. Stoelwinder, T. P. Haines, M. Bohensky, J. Watts e K. D. Hill. "FALLS NOT FALL INJURIES: THE REAL DRIVERS OF HOSPITAL COST-ANALYSES OF IN-HOSPITAL FALLS". Innovation in Aging 1, suppl_1 (30 giugno 2017): 651. http://dx.doi.org/10.1093/geroni/igx004.2309.

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Tesi sul tema "Falls"

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Parsons, Michael S. "Sumner falls". Thesis, Boston University, 2012. https://hdl.handle.net/2144/12582.

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Thesis (M.F.A.)--Boston University Please note: creative writing theses are permanently embargoed in OpenBU. No public access is forecasted for these. To request private access, please click on the locked Download file link and fill out the appropriate web form.
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Tuvemo, Johnson Susanna. "Falls and fall prevention in community-dwelling older adults". Doctoral thesis, Uppsala universitet, Institutionen för neurovetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-333507.

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Falls are the primary cause of injuries among older adults, and accidents that result from falls can lead to personal suffering and extensive societal burdens. The overall aims of this thesis were to explore and describe falls and fall prevention strategies in community-dwelling older adults and to evaluate a fall prevention home exercise program, the Otago Exercise Program (OEP), with or without motivational interviewing (MI). Methods: Qualitative and quantitative research methods were uses. The designs were as follows: a cross-sectional, descriptive and comparative study (study I); a descriptive feasibility investigation (study II) and a randomized controlled trial (RCT) with two interventions, the OEP and OEP+MI, as well as a control group, with a 12-month follow-up (study III); and a prospective and descriptive study (study IV). The four studies comprised community-dwelling individuals aged 75 years or older. Study I included 262 individuals and studies II-IV had 175 participants who needed walking aids or home support. Study II also included 12 physical therapists.  Data collection was performed via self-reported questionnaires, fall calendars, exercise diaries, physical performance tests and a semi-structured questionnaire.  Results and conclusions: Suggested actions to prevent falls significantly differed between high and low active older adults (study I). Support for self-directed behavioral strategies could be important for preventing falls in older adults who have low physical activity levels. The study protocol for the RCT had acceptable feasibility (study II), and only minor changes of the protocol were needed. There were no benefits for OEP or OEP+MI with personal support implemented nine times over the 12-month period. However, all groups maintained physical functioning and activity (study III). To increase physical functioning and reduce falls in this sub-group of older adults, more frequent personal support and/or an alternative delivery format may be required for efficient intensity and challenge in home exercises. Over 12 months, falls and fall-related injuries in the RCT sample were the most common when moving around within the home and transitioning from sitting to standing (study IV). Special attention to these activities might be important for preventing falls in community-dwelling older adults who need walking aids or home support.
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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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Li, Qiwei. "Perception of Falls and Confidence in Self-Management of Falls among Older Adults". Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703385/.

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Mobility safety, especially fall prevention, plays a significant role in successful aging for older adults. Fall preventive programs aim to reduce risks for mortality from fall-related injuries among older adults. However, the covariation between personal perceptions of falls and factors and confidence of self-management in falls (CSMoF) is still under-studied despite its importance to fall prevention. Using the International Classification of Functioning, Disability, and Health (ICF) model, this dissertation aimed to investigate the relative contribution of CSMoF in relation to fall risk self-perceptions while controlling for demographics and self-reported health and functioning. Participants were 691 older adults recruited from Area Agency on Aging at Arlington, Texas. They completed measures of physical functioning, CSMoF, fall risk perceptions and fear of falls. Regression analyses indicated that fear of falls was the most predictive factor of CSMoF among older persons. Physical function measures of age, chronic illnesses of metabolism, sensory impairment, and health status were also significant predictors of the CSMoF. The interaction of perception of falls and fall experience attenuated CSMoF, with physical functioning limitations. Fear of falls served as a mediator through which demographic predictors influence CSMoF. The joint effects of perception of falls and fear of falls likely explain CSMoF among older adults more than physical functional indicators. Fall prevention programs for older adults should prioritize to address modifiable subjective factors of fall perceptions, fear of falls, and CSMoF across health and functioning statuses. Fear of falls should be the center of CSMoF enhancement.
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Ramasamy, Kasturi. "Educational Training on Falls Intervention for Elderly Patients in Acute Care Settings". ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7064.

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Falls among hospitalized elderly patients are a safety concern for health care organizations and the patients they serve, but falls can be prevented through the team effort of nurses and other health care professions to promote safety within the organization. The project site was experiencing an increase in the number of patients falls and identified the need for staff education related to assessment and intervention to prevent patient falls in the elderly population. Thus, the practice-focused question for this project was whether an educational program on evidence-based fall prevention strategies using the American Medical Directors Association clinical guidelines would improve staff nurse ability to assess fall risk and apply intervention strategies for elderly patients in an acute care setting compared to standard practice. Lewin's change theory was used as the theoretical foundation for this project. A total of 29 cardiac unit staff nurses who participated in the educational program were provided information on recognizing risk factors for falls, conducting an accurate fall risk assessment using the Morse Fall Scale, and developing individualized care plan for managing fall risk. The Agency for Healthcare Research and Quality 2E Fall Knowledge Test was used in a pre- and posttest design to assess the efficacy of the educational program. The results showed a statistically significant increase (p < 0.001) in staff members' knowledge in recognizing, assessing, and managing falls. This project can improve nurse's knowledge with evidence-based recommendations in practice, which promotes positive social change through improved staff competency that may result in decreased patient falls and adverse patient outcomes.
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Vaswani, Neela. "What falls between". College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3479.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.
Thesis research directed by: American Studies. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Dendinger, Emily Jean. "For the falls". Thesis, University of Iowa, 2014. https://ir.uiowa.edu/etd/4608.

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Holmes, Eric. "Falls for Jodie". Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/3102.

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Martin, Rosemary. "The Impact of Engagement Strategies on the Reduction of Patient Falls". ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/4462.

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Despite the availability of many fall prevention measures, many patients fall in U.S. hospitals each year. Experts view patient fall rates as the measure that can be most affected by a nurse-led, evidence-based intervention. The purpose of this quality improvement project was to implement and evaluate the impact of patient engagement strategies on patient compliance to fall prevention education and the reduction of falls. The quality improvement framework used for this project was the Iowa Model. Interventions for this project included patient engagement strategies including the teach-back (TB) method and video-based fall prevention education paired with the project site's existing fall prevention program. A prospective quantitative design was used to answer the practice-focused question of whether the implementation of a falls protocol incorporating patient engagement strategies improves patient compliance with the fall prevention plan of care and reduces patient falls. A total of 58 patients were included in this project, conducted from July to October 2017. The results showed a 75% reduction in the fall rate compared to the same three month period in 2016. This finding suggests that reinforcement of oral and written instruction through video education follow-up and the use of the TB method to assess patient understanding are effective measures to reduce patient falls and increase patient compliance to the fall prevention plan of care. These patient engagement strategies can be replicated by nurses in similar acute care settings. Adoption of such evidence-based changes in nursing practice may improve patient safety and decrease harm in hospital settings as implications for positive social change.
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Xu, Tianma. "Development of Stepping On After Stroke fall prevention program in Singapore". Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18918.

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The aim of the work was to develop a group-based fall prevention program for community-living stroke survivors by adapting an evidence-based fall prevention program, Stepping On. This thesis comprises of five studies using mixed methodologies. The first study, a systematic review and meta-analysis confirmed that fall risk factors in this studied group are multifactorial and suggested that interventions should be multi-dimensional. In the second study, semi-structured interviews with community-living stroke survivors and caregivers conducted in Singapore identified the common self-perceived fall risk factors post-stroke, main challenges and common safety and coping strategies after a fall post-stroke. The third study, focus groups with therapists trained in Stepping On reported a lack of structured fall prevention programs and suggested adapting the Stepping On with some changes and additional key elements to suit the target population. In the fourth study, building on the earlier work, the key elements of Stepping On After Stroke (SOAS) program were reviewed by international and Singapore experts using a modified Delphi method. The program was further refined based on the review findings. In the final study, the adapted SOAS program was piloted with two groups of stroke survivors and their caregivers in two community centres. The results suggest that it is acceptable and feasible to implement this group-based SOAS program with the target population in Singapore. In summary, the findings from this research have made novel contributions to fall prevention in community-living stroke survivors in Singapore and other countries. The research suggests the need for a structured fall prevention program targeting both stroke survivors and caregivers and focusing on the modifiable fall risk factors with its aim to reduce fall risk and increase community participation. However, further fine-tuning of the program is needed before moving to a larger scale study.
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Libri sul tema "Falls"

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Darowski, Adam. Falls: The facts. Oxford: Oxford University Press, 2008.

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When life falls, it falls upside down. New York: Grove Weidenfeld, 1990.

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Myers, Lou. When life falls, it falls upside down. New York: Grove Weidenfeld, 1990.

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Canada, Canada Health, e Canada Veterans Affairs Canada, a cura di. You can prevent falls: Falls prevention resources! [Ottawa]: Health Canada/Veterans Affairs Canada Falls Prevention Initiative, 2002.

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Myers, Lou. When life falls, it falls upside down. New York: Grove Weidenfeld, 1990.

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Empire falls. New York: Vintage Books, 2002.

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Calhoun, Margaret. Tallulah Falls. Charleston, S.C: Arcadia, 1998.

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Paradise Falls. United States]: [Jonnie Jacobs], 2012.

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McNeill, Robert B. Buffalo Falls. London: Robert Hale, 2012.

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Mills, Kyle. Darkness falls. New York: Vanguard Press, 2007.

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Capitoli di libri sul tema "Falls"

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Bartl, Reiner, e Christoph Bartl. "Falls and Fall Prevention". In Bone Disorders, 261. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29182-6_38.

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Bartl, Reiner, e Christoph Bartl. "Falls and Fall Prevention". In The Osteoporosis Manual, 263. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00731-7_33.

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Rider, John V. "Falls and Falls Prevention". In Primary Care Occupational Therapy, 227–34. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-20882-9_22.

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Kressig, Reto W., e Stephanie A. Bridenbaugh. "Falls". In Practical Issues in Geriatrics, 89–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61997-2_9.

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Tinetti, Mary E. "Falls". In Geriatric Medicine, 528–34. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-2093-8_40.

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Carson, Lesley S. "Falls". In Classic Papers in Geriatric Medicine with Current Commentaries, 81–88. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-428-5_8.

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Tinetti, Mary E. "Falls". In Geriatric Medicine, 787–99. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2705-0_51.

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Sharpton, Amy N. "Falls". In Encyclopedia of Immigrant Health, 671–72. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-5659-0_276.

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Corcoran, Amy M., e Bruce Kinosian. "Falls". In Fractures in the Elderly, 55–68. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60327-467-8_3.

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Vieira, Edgar Ramos, Rubens A. da Silva, Lindy Clemson e Matthew Lee Smith. "Falls". In Encyclopedia of Gerontology and Population Aging, 1–11. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_491-1.

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Atti di convegni sul tema "Falls"

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Bui, Vinh, e Minh Bui. "Virtual Falls". In ICVARS 2020: 2020 4th International Conference on Virtual and Augmented Reality Simulations. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3385378.3385388.

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Chandramouleesvar, V., M. E. Swetha e P. Visalakshi. "Development of LSTM Model for Fall Prediction Using IMU". In International Research Conference on IOT, Cloud and Data Science. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-stigt6.

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One of the major contributor leading to cause of unintentional injuries after motor vehicle crashes and poisoning, is Falls. The existing Fall Prediction Algorithms are used to predict falls in older or disabled people by analyzing their fall history, capturing their movements through visual sensors (cameras, thermal imaging etc.) in a fixed environment, using inertial sensors to identify the patterns of movements. These algorithms are monologues for each person as they learn from their history and predict falls specific only to that person. The algorithm proposed in this paper aims to predict falls using kinematic data such as accelerometer, magnetometer, and gyroscopic values, for any user. This work involves developing an algorithm capable of predicting falls and to achieve this, we use Long Short-Term Memory (LSTM). The benefit of this algorithm is to prevent trauma to the body or at least reduce the impact of fall and the fatality caused by it. In the future, this algorithm can be used to design a device to predict falls in real-time to scenario be used by everyone irrespective of gender, age, and health.
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Forrest, K. Y. Z., e J. M. Cali. "Associated human factors for falls and fall-related injuries". In SAFE 2009. Southampton, UK: WIT Press, 2009. http://dx.doi.org/10.2495/safe090341.

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Cloutier, Aimee, James Yang, Debajyoti Pati, Shabboo Valipoor, Brandon Snailer e Jerrod Hollers. "Identifying Possible Patient Slips and Falls Using Motion Capture Experiments". In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46635.

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The Centers for Disease and Control report that falls are the most common cause of injury in older adults. Moderate to severe fall-related injuries significantly interfere with independent living and reduce quality of life, and it is necessary to prevent these falls whenever possible. The present study seeks to identify factors within a hospital bedroom and bathroom setting that may lead to falls. A motion capture experiment was conducted in a laboratory setting on thirty subjects over the age of seventy using one bedroom and two bathroom mockups designed to match the dimensions and layout of a representative room drawn from the archives of a large healthcare design firm. Data were post processed using Cortex and Visual3D software. A potential fall was defined as a period of time during which the jerk trajectory of the upper body’s center of mass remained consistently high. Preliminary results suggest that falls are more likely to occur when a patient is reaching, taking backwards steps, or turning. Future work includes locating each potential fall in a video recording to be analyzed by healthcare professionals including healthcare designers, clinicians, and a kinesiology expert. Identifying potential falls may lead to safer designs for hospital bedrooms and bathrooms and improved education for elderly adults about how to prevent falls.
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Rangel, Marcela Ferreira de Andrade, Maria Alice Dias da Costa, Igor Roque de Paula, Julia Magalhães Waybe Gonçalves, Danielle Antoniazzi D'Allembert Costa Sousa e Mariana Asmar Alencar. "Prediction of falls in Amiotrophic Lateral Sclerosis". In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.350.

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Abstract (sommario):
Background: In Amyotrophic Lateral Sclerosis (ALS), falls can have negative impacts on activity, participation and quality of life, which include injuries, dependence and mortality. Objectives: To investigate falls in individuals with ALS and and identify potential predictors. Methods: Observational study, in which were included individuals over 18 years old with ALS followed up at the Neuromuscular Diseases Clinic of UFMG. Individuals who were bedridden or had any other neurological disorders were excluded. Capacity/ independence, strength, mobility/performance and ability to walk were evaluated through ALSFRS-R, MRC, TUG and SBBP, respectively. If the participants were able to walk with or without assistance, they were classified as walkers. Falls were investigated considering the last 6 months and ≥ 2 episodes was classified as recurrent. In the logistic regression model, variables with p <0.20 were included in the univariate analysis with a significance level of 0.05. Results: The study included 68 individuals. Of these, 73.5% reported at least one fall in the last 6 months. Among the fallers, 66% were able to walk. Fall recurrence was frequent in walkers (69.7%). When investigating falls in the walking group, only sit and stand test was related to falls. Each worsening of the time in the test, increased the chance of falling by 1.3 times. Conclusions: Sit and stand test was a predictor of falls in walkers with ALS. Knowledge of the characteristics and associated factors is important to identify individuals at risk of falls and to develop protocols.
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Addis, Samantha, e Melissa K. Lobegeier. "ANALYSIS OF THECAMOEBIAN ASSEMBLAGES IN FALL CREEK FALLS STATE PARK". In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-295792.

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Chao, Paul C. P., Li-Chi Hsu, Yu-Feng Li e Chin-Wei Chun. "Design and Development of a Wireless Fall Detection Module for Homecare". In ASME 2014 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/isps2014-6972.

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A novel wireless circuit module is designed in this study to perform ubiquitous fall detections and then real-time fall detections of help messages. It is a common trend that as the demand for living quality increases tremendously while the technologies of electronics and medicine advances greatly, personal cares are elevated to the next level. As for the aging society, the issue of injuries due to falls among senior population arises rapidly [1,2]. Costly prices are often paid as the elderly falls without notice from companions at the site. Therefore, various modules and/or systems of automatic and wireless fall detection are developed into a past pace. Such fall-detection modules are demanded to be able to automatically detect falls of subjects and then send the help message to a remote hospital for an immediate help.
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Heisig, Paul M., John H. Williams e Allan D. Randall. "HYDROGEOLOGIC CHARACTERIZATION OF THE HOOSICK FALLS WELLFIELD AQUIFER, HOOSICK FALLS, NY". In 53rd Annual GSA Northeastern Section Meeting - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018ne-310394.

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"Welcome to Niagara Falls". In 2011 24th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2011. http://dx.doi.org/10.1109/ccece.2011.6030390.

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Anderson, Derek, James M. Keller, Marjorie Skubic, Xi Chen e Zhihai He. "Recognizing Falls from Silhouettes". In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259594.

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Rapporti di organizzazioni sul tema "Falls"

1

Hoyt, W. B. Virginia Falls. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/298350.

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2

Aultman, Jody. Shimmering Falls. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/itaa_proceedings-180814-964.

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3

Yocom, Ken, e Delia Lacson. Snoqualmie Falls Upper Park. Landscape Architecture Foundation, 2011. http://dx.doi.org/10.31353/cs0230.

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Mountjoy, E. W., C. Patenaude e R. A. Price. Geology, Athabasca Falls, Alberta. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2003. http://dx.doi.org/10.4095/214683.

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Carroll, Jane L., e Tak M. Wong. Engineering the Falls: The Corps of Engineers' Role at St. Anthony Falls. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1993. http://dx.doi.org/10.21236/ada635492.

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6

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

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7

James, Matthew, Bailey Peterson e Erika Roeber. Sioux Falls Downtown River Greenway. Landscape Architecture Foundation, 2015. http://dx.doi.org/10.31353/cs0970.

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8

Thompson, R. I., D. Noakes, R. Day, S. Trollope e N. Godfrey. Geology, Christina Falls, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1987. http://dx.doi.org/10.4095/122841.

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9

Percival, J. A. International Falls, Canada - Unites States. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1987. http://dx.doi.org/10.4095/130233.

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10

van Staal, C. R. Geology, Tetagouche Falls, New Brunswick. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1995. http://dx.doi.org/10.4095/205323.

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