From year to year, the problem of the risk of falls among the elderly and the question of how to prevent this phenomenon is quite acute. To help these people avoid adverse effects on their health, doctors develop exercise packages that help fight the causes of falls. The ability to prove the effectiveness of innovations determines that an exercise program decreases fall rates within one year, and it is displayed in each outcome with a clear indication in the table.
Creating a synthesis table is important because it allows for systematizing observations’ results. In addition to outcomes, interventions, design, and study are equally important to have evidence. It is essential because “falls in older adults can cause irreversible physical injuries” (Montero-Odasso, 2022, p. 10). The variables such as interventions, studies, design, sample, and outcome were included in the table to analyze the details of the different factors in terms of the effectiveness of exercise for older people. I would say the level of evidence is essential, as well as the values mentioned above. Without at least one of the elements, it is no longer possible to say that, for example, the result of the 1st study is due to the presence of a specific exercise program. In this example, we see that the need to create a completed analysis is the reason for including these variables in the table. Considering only one study, we would get only one outcome, which applies to each element. This is due to the complexity of the problem itself, which is the presence of various reasons for the fall of the elderly, including, for example, gait and balance, muscle strength, medications, and cardiovascular disorders, including orthostatic hypotension (Li, 2018, pp. 1301-1310). The wide range of problems determines the same degree of research and elements involved. Therefore, the rationale for using variables is their strong interrelationship. Studies specify a design that controls samples, and they, in turn, determine the outcome.
In conclusion, it should be said that the urgency of solving the problem of the fall of the elderly still forces humanity to research this topic. Due to the synthesis table, the researcher can simplify the analysis process and better understand the significance of having certain variables in the table. With this data, an even more effective program can be developed to help solve the problem.
References
Li, F., Harmer, P., & Fitzgerald, K. (2018). Multimodal Exercise Intervention for Preventing Falls in High-Risk Older Adults. JAMA Intern. Med.
Montero-Odasso, M., Velde, N., Finbarr, M. C., Petrovic, M., Tan P. M., Ryg, J., Aguilar Navarro, S., Neil, A. B., Becker, C., Blain, H., Bourke, R., Ian, C. D., Camicioli, R.,
Clemson, L., Close, J., Delbaere, K., Duan, L., Duque, G., Dyer, S. M., … Masud, T. (2022). World guidelines for falls prevention and management for older adults: a global initiative. Age and Ageing, 51. Web.