Quantitative Summary Falls In The Elderly Using Surveillance
Falls are an issue of concern in any health care setting, especially among the elderly who are prone to falls and may suffer serious harm from fall incidences. In fact, the issue of falls is of research interest. Woolrych et al. (2015) presents the results of a quantitative study that investigates the causes of falls in long-term care setting. The authors note that fall incidences present a significant cost and care burden in long-term care settings. As such, the study sought to present a strategy for determining how and why falls occur within long-term care settings, with a focus on collecting objective data relevant to the topic. Towards this end, a video capture approach was presented. The study identified four opportunities in which video capture can be applied. First, questionnaire-driven observation group analysis. Second, video-simulated recall interviews and focus groups. Third, 24-hour video observations of the residents before fall occurrence. Fourth, video incorporated within a comprehensive falls investigative method. The four identified video capture methods are noted to allow for collection of multiple objective, retrospective data that offers more insight into falls. This presents opportunities in collecting data in real-life fall events, reliable and structured data collection, and justifies targeted interventions. Nonetheless, video capture presents a research challenge as it only includes what is visible and ignores what is not visible. Also, video capture presents logistical, practical and ethical concerns Quantitative Summary Falls In The Elderly Using Surveillance.
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Hamm et al. (2016) adds to the discussion by presenting a conceptual framework for collecting information on falls. The study notes that while there have been many research studies on falls, they have a shortcoming of being focused on specific subdomains. The authors call for a research approach that can evaluate the full spectrum of subdomains on falls. Towards this end, the study presents a conceptual framework and survey approach that identifies four main categories of fall prevention domains: pre-fall prevention, post-fall prevention, fall injury prevention, and cross-fall prevention. In addition to the four categories, the study identifies other categories to include: application type, technology deployment platform, information sources, deployment environment, user interface type, and collaborative function. Although informative, the authors reveal that while the discussed approach allows for a comprehensive research on fall prevention, it presents some challenges. The challenges are on how to address new systems that seek to overcome extrinsic falls risk factors are being presented, systems that support the environmental risk process, and systems that enable practitioners and patients to develop more collaborative relationships and engage in shared decision making Quantitative Summary Falls In The Elderly Using Surveillance.
Gulka et al. (2020) explores the efficacy and generalizability of falls prevention interventions based on the research approach applied. The study conducted a meta-analysis of falls prevention programs conducted in residential facilities as presented in 36 studies that had a total of 30,057 residents. The results of the study revealed that fall prevention programs reduced fall incidences and recurrent falls. Also, multifactorial and multiple interventions were more effective in reducing falls incidences. The study results are quantitatively determined using risk ratio calculations Quantitative Summary Falls In The Elderly Using Surveillance.
The three reviewed studies reveal that quantitative research approaches are effective for quantifying fall data, particularly information on fall incidences (video capture), exploring fall domains (stages of fall prevention and interventions), and determining the effectiveness of the intervention (risk ratio). These understandings are beneficial to falls surveillance efforts among elderly populations.
References
Gulka, H. J., Patel, V., Arora, T., McArthur, C., & Iaboni, A. (2020). Efficacy and Generalizability of Falls Prevention Interventions in Nursing Homes: A Systematic Review and Meta-analysis. Journal of the American Medical Directors Association, 21(8), 1024–1035.e4. https://doi.org/10.1016/j.jamda.2019.11.012
Hamm, J., Money, A. G., Atwal, A., & Paraskevopoulos, I. (2016). Fall prevention intervention technologies: A conceptual framework and survey of the state of the art. Journal of Biomedical Informatics, 59, 319–345. https://doi.org/10.1016/j.jbi.2015.12.013
Woolrych, R., Zecevic, A., Sixsmith, A., Sims-Gould, J., Feldman, F., Chaudhury, H., … & Robinovitch, S. N. (2015). Using Video Capture to Investigate the Causes of Falls in Long-Term Care. The Gerontologist, 55(3), 483–494. Quantitative Summary Falls In The Elderly Using Surveillance https://doi.org/10.1093/geront/gnu053
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Please mainly focus on the instruments used for collecting the data in this paper using quantitative measures/research. Define quantitative research sampling strategies identify methods to validate empirical quantitative evidence and describe the statistical findings, and how does it benefit my research When directly quoting from an article and the quote is 40 words or less, it must be written in blocked paragraph to itself. Using Video Capture to Investigate the Causes of Falls in Long-Term Care Ryan Woolrych, PhD, Aleksandra Zecevic, PhD, Andrew Sixsmith, PhD, Joanie Sims-Gould, PhD, Fabio Feldman, PhD, Habib Chaudhury, PhD, Bobbi Symes, MA, Stephen N. Robinovitch, PhD Author Notes The Gerontologist, Volume 55, Issue 3, June 2015, Pages 483–494, https://doi.org/10.1093/geront/gnu053 Fall prevention intervention technologies: A conceptual framework and survey of the state of the art https://www.sciencedirect.com/science/article/pii/S1532046415002932 Please use this article in the paper https://www.sciencedirect.com/science/article/abs/pii/S152586101930814X I would like to have this by Wednesday thank you, if you need anymore information let me know Quantitative Summary Falls In The Elderly Using Surveillance