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Статті в журналах з теми "Falls"

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Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 29 вересня 2023

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1

Cave, Rachel. "When whale fall falls." New Scientist 199, no. 2668 (August 2008): 21. http://dx.doi.org/10.1016/s0262-4079(08)61989-2.

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2

Goh, Jing Wen, Devinder Kaur Ajit Singh, and 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 (December 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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3

Wright, Stephen. "One falls, we all fall." Nursing Standard 24, no. 47 (July 28, 2010): 26–27. http://dx.doi.org/10.7748/ns.24.47.26.s31.

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4

Davis, Kathy. "Trips, falls and fall injuries." Primary Health Care 24, no. 7 (August 26, 2014): 16. http://dx.doi.org/10.7748/phc.24.7.16.s24.

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5

Singh, Devinder Kaur Ajit, Jing Wen Goh, Muhammad Iqbal Shaharudin, and 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, no. 10 (October 12, 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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6

Duthie, E., D. Simpson, J. Myers, K. Denson, and S. Denson. "Falls and Prevention of Fall Outcomes." Innovation in Aging 2, suppl_1 (November 1, 2018): 361. http://dx.doi.org/10.1093/geroni/igy023.1336.

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7

Siegwart, Jennifer, Umberto Spennato, Nathalie Lerjen, Beat Mueller, Philipp Schuetz, Daniel Koch, and Tristan Struja. "Prediction of In-Hospital Falls Using NRS, PACD Score and FallRS: A Retrospective Cohort Study." Geriatrics 8, no. 3 (June 1, 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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8

While, Alison E. "Falls and older people: understanding why people fall." British Journal of Community Nursing 25, no. 4 (April 2, 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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9

Renshaw, Mark, Paula Tucker, and Karen Norman. "Becoming fall-safe: a framework for reducing inpatient falls." British Journal of Nursing 29, no. 20 (November 12, 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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10

Morello, R. T., A. L. Barker, J. Stoelwinder, T. P. Haines, M. Bohensky, J. Watts, and K. D. Hill. "FALLS NOT FALL INJURIES: THE REAL DRIVERS OF HOSPITAL COST-ANALYSES OF IN-HOSPITAL FALLS." Innovation in Aging 1, suppl_1 (June 30, 2017): 651. http://dx.doi.org/10.1093/geroni/igx004.2309.

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11

Short, Robert. "Falls." Nursing Older People 18, no. 10 (November 2006): 16–18. http://dx.doi.org/10.7748/nop.18.10.16.s13.

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12

Parker, J. "Falls." Interdisciplinary Studies in Literature and Environment 17, no. 2 (April 1, 2010): 425–29. http://dx.doi.org/10.1093/isle/isq007.

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13

Mosenthal, A., D. Livingston, J. Elcavage, S. Merritt, S. Stucker, Anne C. Mosenthal, and Frederick A. Moore. "FALLS." Journal of Trauma: Injury, Infection, and Critical Care 36, no. 1 (January 1994): 157. http://dx.doi.org/10.1097/00005373-199401000-00061.

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14

Mosenthal, Anne C., David H. Livingston, Janet Elcavage, Susan Merritt, and Susan Stucker. "Falls." Journal of Trauma: Injury, Infection, and Critical Care 38, no. 5 (May 1995): 753–56. http://dx.doi.org/10.1097/00005373-199505000-00013.

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15

Cummings, Steven R., and Michael C. Nevitt. "Falls." New England Journal of Medicine 331, no. 13 (September 29, 1994): 872–73. http://dx.doi.org/10.1056/nejm199409293311310.

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16

Duthie, Edmund H. "Falls." Medical Clinics of North America 73, no. 6 (November 1989): 1321–36. http://dx.doi.org/10.1016/s0025-7125(16)30601-0.

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17

Kenny, Rose A., Roman Romero-Ortuno, and Lisa Cogan. "Falls." Medicine 37, no. 2 (February 2009): 84–87. http://dx.doi.org/10.1016/j.mpmed.2008.11.005.

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18

Kenny, Rose A., Roman Romero-Ortuno, and Lisa Cogan. "Falls." Medicine 41, no. 1 (January 2013): 24–28. http://dx.doi.org/10.1016/j.mpmed.2012.10.010.

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19

Kenny, Rose A., Roman Romero-Ortuno, and Lisa Cogan. "Falls." Medicine 41, no. 3 (March 2013): 155–59. http://dx.doi.org/10.1016/j.mpmed.2012.12.007.

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20

Overstall, Peter W. "Falls." Reviews in Clinical Gerontology 2, no. 1 (February 1992): 31–38. http://dx.doi.org/10.1017/s0959259800002975.

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21

Colledge, N. "Falls." Reviews in Clinical Gerontology 12, no. 3 (August 2002): 221–32. http://dx.doi.org/10.1017/s0959259802012352.

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Falls have always been a major health issue for older people, but over the past few years there has been an explosion of interest in their prevention. We are now at the challenging stage of incorporating best evidence into routine clinical practice. This has been recognized by the UK government in its National Service Framework for Older People in England, which has set targets to reduce the number of falls that result in serious injury, and to ensure effective treatment and rehabilitation for those who have fallen.

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22

Davison, John, and Sarah Marrinan. "Falls." Reviews in Clinical Gerontology 17, no. 2 (May 2007): 93–107. http://dx.doi.org/10.1017/s0959259808002426.

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In the context of an aging population, the importance of falls and their prevention has arguably never been greater. Both injurious and non-injurious falls are a frequent occurrence resulting in potentially devastating physical and social consequences. In recent years, there has been a marked expansion in falls research, meta-analysis, and local and national management guidelines, reflecting increased multidisciplinary professional and public awareness of falls.

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23

Frith, James, and John Davison. "Falls." Reviews in Clinical Gerontology 23, no. 2 (March 18, 2013): 101–17. http://dx.doi.org/10.1017/s0959259813000026.

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SummaryFalls and fall-related injury are common and become more prevalent with increasing age. Risk factors for falling are numerous, synergistic and complex, and require multidisciplinary assessment. The evidence base for intervention strategies continues to improve, but is often limited by the methodological difficulties that are inherent in falls research. The most effective intervention is a multifactorial approach that targets identified risk factors. Multicomponent exercise, either in a group or individually, is one of the most effective components of intervention. Other successful components include home hazard modification and psychotropic medication withdrawal. Primary prevention does not appear to be cost effective, but secondary prevention far outweighs the cost of falls and fall-related injury.

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24

Colledge, Nicki. "Falls." Reviews in Clinical Gerontology 7, no. 4 (November 1997): 309–15. http://dx.doi.org/10.1017/s0959259897007442.

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Falls and funny turns are very common in old people, and many clinicians feel at a loss as to how to deal with them. Over the past few years, there have been important advances in our understanding of the causes of falls and how best to manage these in the vulnerable elderly population. Given the magnitude of the problem, it is important that such research finds its way into clinical practice.

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25

Hetherington, Janet. "Falls." Orthopaedic Nursing 16, no. 6 (November 1997): 76. http://dx.doi.org/10.1097/00006416-199711000-00017.

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26

Schönig, Werner. "Die Falle des Falls in der Sozialen Arbeit." Soziale Arbeit 70, no. 3 (2021): 89–97. http://dx.doi.org/10.5771/0490-1606-2021-3-89.

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27

Muir, Susan W., Katherine Berg, Bert Chesworth, and Mark Speechley. "Use of the Berg Balance Scale for Predicting Multiple Falls in Community-Dwelling Elderly People: A Prospective Study." Physical Therapy 88, no. 4 (April 1, 2008): 449–59. http://dx.doi.org/10.2522/ptj.20070251.

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Background and Purpose Falls are a significant public health concern for older adults; early identification of people at high risk for falling facilitates the provision of rehabilitation treatment to reduce future fall risk. The objective of this prospective cohort study was to examine the predictive validity of the Berg Balance Scale (BBS) for 3 types of outcomes—any fall (≥1 fall), multiple falls (≥2 falls), and injurious falls—by use of sensitivity, specificity, receiver operating characteristic (ROC) curves, area under the curve, and likelihood ratios. Subjects and Methods A sample of 210 community-dwelling older adults received a comprehensive geriatric assessment at baseline, which included the BBS to measure balance. Data on prospective falls were collected monthly for a year. The predictive validity of the BBS for the identification of future fall risk was evaluated. Results The BBS had good discriminative ability to predict multiple falls when ROC analysis was used. However, the use of the BBS as a dichotomous scale, with a threshold of ≤45, was inadequate for the identification of the majority of people at risk for falling in the future, with sensitivities of 25% and 45% for any fall and for multiple falls, respectively. The use of likelihood ratios, maintaining the BBS as a multilevel scale, demonstrated a gradient of risk across scores, with fall risk increasing as scores decreased. Discussion and Conclusion The use of the BBS as a dichotomous scale to identify people at high risk for falling should be discouraged because it fails to identify the majority of such people. The predictive validity of this scale for multiple falls is superior to that for other types of falls, and the use of likelihood ratios preserves the gradient of risk across the whole range of scores.

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28

Powell-Cope, Gail, Susan Thomason, Tatjana Bulat, Karla M. Pippins, and Heather M. Young. "Preventing Falls and Fall-Related Injuries at Home." Home Healthcare Now 40, no. 3 (May 2022): 128–32. http://dx.doi.org/10.1097/nhh.0000000000001077.

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29

&NA;. "Donʼt fall for it. Falls can be prevented!" PACEsetterS 2, № 2 (квітень 2005): 59. http://dx.doi.org/10.1097/01.jbi.0000393709.59554.7a.

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30

&NA;. "Donʼt fall for it. Falls can be prevented!" PACEsetterS 2, № 2 (квітень 2005): 59. http://dx.doi.org/10.1097/01.jbi.0000393710.97672.e7.

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31

Powell-Cope, Gail, Susan Thomason, Tatjana Bulat, Karla M. Pippins, and Heather M. Young. "Preventing Falls and Fall-Related Injuries at Home." AJN, American Journal of Nursing 118, no. 1 (January 2018): 58–61. http://dx.doi.org/10.1097/01.naj.0000529720.67793.60.

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32

Fonad, Edit, Tarja-Brita Robins Wahlin, Bengt Winblad, Azita Emami, and Helene Sandmark. "Falls and fall risk among nursing home residents." Journal of Clinical Nursing 17, no. 1 (December 10, 2007): 126–34. http://dx.doi.org/10.1111/j.1365-2702.2007.02005.x.

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33

Rubenstein, Laurence Z., Karen R. Josephson, and Dan Osterweil. "Falls and Fall Prevention in the Nursing Home." Clinics in Geriatric Medicine 12, no. 4 (November 1996): 881–902. http://dx.doi.org/10.1016/s0749-0690(18)30206-4.

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34

Oliver, David, Frances Healey, and Terry P. Haines. "Preventing Falls and Fall-Related Injuries in Hospitals." Clinics in Geriatric Medicine 26, no. 4 (November 2010): 645–92. http://dx.doi.org/10.1016/j.cger.2010.06.005.

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35

Callis, Natalie. "Falls prevention: Identification of predictive fall risk factors." Applied Nursing Research 29 (February 2016): 53–58. http://dx.doi.org/10.1016/j.apnr.2015.05.007.

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36

Nazarko, Linda. "Falls 6. Care and treatment following a fall." British Journal of Healthcare Assistants 17, no. 4 (April 2, 2023): 142–48. http://dx.doi.org/10.12968/bjha.2023.17.4.142.

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Falls are the second leading cause of unintentional injury deaths worldwide and are a major health issue for older people ( World Health Organization, 2021 ). Older people are more vulnerable to injury when they fall; over 5000 older people die as a result of a fall each year. This article will provide an overview of what care and treatments are required following a fall.

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37

Twibell, Renee Samples, Debra Siela, Terrie Sproat, and Gena Coers. "Perceptions Related to Falls and Fall Prevention Among Hospitalized Adults." American Journal of Critical Care 24, no. 5 (September 1, 2015): e78-e85. http://dx.doi.org/10.4037/ajcc2015375.

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Background Prevention of falls during hospitalization depends in part on the behaviors of alert patients to prevent falls. Research on acutely ill patients’ intentions to behave in ways that help prevent falls and on the patients’ perceptions related to falls is limited. Objective To explore hospitalized adults’ perceptions related to risk for falling, fear of falling, expectations of outcomes of falling, and intention to engage in behaviors to prevent falls. Methods Adult, alert, acutely ill inpatients (N = 158) at risk for falling completed a survey consisting of 4 scales and 3 single items. Nurses’ assessments and patients’ perceptions of the risk for falling were compared. Results Decreased intentions to engage in behaviors to prevent falls were correlated with patients’ increased confidence in their ability to perform high-risk behaviors without help and without falling (P < .001), decreased fear of falling (P < .001), and decreased perceived likelihood of adverse outcomes if they did fall (P < .001). Although nurses’ assessments indicated a risk for falls, 55.1% of the patients did not perceive a high likelihood of falling while hospitalized. Whereas 75% of patients intended to ask for help before getting out of bed, 48% were confident that they could get out of bed without help and without falling. Conclusions Although assessments may indicate a risk for falling, acutely ill inpatients may not perceive they are likely to fall. Patients’ intentions to engage in behaviors to prevent falls vary with the patients’ fall-related perceptions of confidence, outcomes, and fear related to falling.

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38

Oliver, David. "Preventing falls and fall injuries in hospital: a major risk management challenge." Clinical Risk 13, no. 5 (September 1, 2007): 173–78. http://dx.doi.org/10.1258/135626207781572693.

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Accidental falls are the commonest patient safety incident in hospital and are especially common in older patients. They are associated with physical and psychological harm, functional impairment, prolonged hospital stay, cost and opportunity cost. Falls often cause concern and anger from patients' relatives, are a frequent cause of complaints and inquests, and may lead to claims in clinical negligence - albeit that the financial risk from these claims is low. As such, falls and related injuries should be a major concern in risk management and governance for institutions. In reality, falls are often a marker of patients' underlying medical illness and frailty and their occurrence does not necessarily mean that there has been a failure in the duty of care or that anyone or any system is to blame. Falls rates are also dependent on the case-mix and frailty of patients on the unit, so that crude unadjusted comparison of falls rates should not be used in isolation as an indicator of care quality. Nonetheless, there appear to be large variations in falls rates. It may be that some falls are essentially inevitable or unpreventable, but that others are avoidable and unacceptable, especially as we must balance falls prevention against the duty to promote rehabilitation, respect patients' autonomy and avoid an excessively custodial, ageist or risk-averse approach to care. Even though all parties may feel that 'something should be done' to manage the risk, it is not always clear what the interventions should be. This in turn means that institutions may implement interventions or assessments which are neither effective nor evidence-based. The starting point for falls prevention programmes should always be a critical review of such evidence. In this review, we discuss the underlying causes of falls, the potential for learning from incident reporting and claims analysis and, in particular, the academic literature on falls risk assessment tools (for which the evidence base is limited) and on falls prevention interventions. Evidence from clinical trials has shown that it is possible to produce modest reductions in falls rates (if not the number of 'fallers') from whole systems interventions which incorporate a variety of approaches to falls prevention. These interventions are described in detail as well as the limitations of performing research in such a frail and unstable patient group.

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39

Coote, Susan, Jacob J. Sosnoff, and Hilary Gunn. "Fall Incidence as the Primary Outcome in Multiple Sclerosis Falls-Prevention Trials." International Journal of MS Care 16, no. 4 (December 1, 2014): 178–84. http://dx.doi.org/10.7224/1537-2073.2014-059.

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The aim of this article is to provide recommendations on behalf of the International MS Falls Prevention Research Network (IMSFPRN) for the primary outcome measure for multiple sclerosis (MS) falls-prevention interventions. The article will consider the definition of a fall, methods of measuring falls, and the elements of falls that should be recorded, as well as how these elements should be presented and analyzed. While this information can be used to inform the content of falls-prevention programs, the primary aim of the article is to make recommendations on how the outcome of these programs should be captured.

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40

Jackson, Nicole R., Sarah Lathrop, and Lauren Dvorscak. "Wall Falls." American Journal of Forensic Medicine & Pathology 42, no. 3 (April 8, 2021): 243–47. http://dx.doi.org/10.1097/paf.0000000000000674.

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41

Saari, Peggy, and Jay McInerney. "Brightness Falls." Antioch Review 51, no. 2 (1993): 304. http://dx.doi.org/10.2307/4612741.

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42

Tait, Derrick. "Preventing falls." Nursing Standard 26, no. 51 (August 22, 2012): 59–60. http://dx.doi.org/10.7748/ns.26.51.59.s57.

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43

Tait, Derrick. "Preventing falls." Nursing Standard 26, no. 51 (August 22, 2012): 59. http://dx.doi.org/10.7748/ns2012.08.26.51.59.c9245.

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Grewal-Kök, Rav. "The Falls." Ploughshares 48, no. 2 (June 2022): 55–65. http://dx.doi.org/10.1353/plo.2022.0091.

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Goss, Adeline L. "Trust Falls." JAMA 327, no. 16 (April 26, 2022): 1547. http://dx.doi.org/10.1001/jama.2022.5386.

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Goss, Adeline L. "Trust Falls." JAMA 327, no. 16 (April 26, 2022): 1547. http://dx.doi.org/10.1001/jama.2022.5386.

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Jacobs, Rita D., and Richard Russo. "Empire Falls." World Literature Today 76, no. 2 (2002): 153. http://dx.doi.org/10.2307/40157338.

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Spender, Stephen. "Silence falls." Index on Censorship 23, no. 1-2 (May 1994): 3. http://dx.doi.org/10.1080/03064229408535631.

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Figueroa, Lisa. "Loriana Falls." Harrington Lesbian Fiction Quarterly 6, no. 1 (March 31, 2005): 89–96. http://dx.doi.org/10.1300/j161v06n01_09.

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Cumbler, Ethan U., Jennifer R. Simpson, Laura D. Rosenthal, and David J. Likosky. "Inpatient Falls." Neurohospitalist 3, no. 3 (February 5, 2013): 135–43. http://dx.doi.org/10.1177/1941874412470665.

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