Introduction
The health issue is preexisting conditions in the elderly that affect brain injury development. Acute trauma causes severe health implications, specifically for older people whose cognitive skills are slowed down by other physical processes (Karr et al., 2021). The significant gap in this area refers to knowledge application to practice – not much research has been identified, making it challenging to apply information to clinical settings (Enzenbach et al., 2019). Moreover, this area of medicine may not be fully disclosed due to the lack of scientific materials related to the discovery of brain functions. Hence, there is a probability that the measurement biases may also impact these gaps.
Gaps in Brain Injury Research
For instance, selection errors may impact the results’ transparency as some participants may have concurrent conditions such as dementia. By disclosing private data, the participants may create information bias due to misreporting their disorder. Confounding can occur if a variable such as physical failure is indicated during the study. Moreover, there is a possibility that additional factors related to brain functions may appear and complicate the relationship between the dependent and independent variables (Khalili et al., 2021). Finally, random errors taking place during the analysis can distort the outcomes.
These could affect the population so that the patients could look for a treatment that may not be efficient. In this area, they could mislead the existing pattern of how the preexisting conditions affect the brain. These biases could be prevented by asking peers to review the material for validity. This practice is efficient since it identifies other error professionals who may have more experience addressing the chosen issue (Harkness, 1995). In addition, it is vital to check the numerical data through the statistical analysis. It will enable scientists to determine if the numbers coincide.
Conclusion
In conclusion, research related to the brain and its components is likely to be biased and subject to errors because of several factors. Primarily, the brain is a structure that has not been fully explored, making it difficult to predict the results. In addition, errors may occur due to the wrong sample selection, participants’ data, and the inconsistency between the variables. Hence, they could be prevented by peer-reviewing or statistical analysis.
References
Enzenbach, C., Wicklein, B., Wirkner, K., & Loeffler, M. (2019). Evaluating selection bias in a population-based cohort study with low baseline participation: the LIFE-Adult-Study. BMC Medical Research Methodology, 19(1), 135. Web.
Harkness, G. A. (1995). Epidemiology in nursing practice. Mosby.
Karr, J. E., Iverson, G. L., Isokuortti, H., Kataja, A., Brander, A., Öhman, J., & Luoto, T. M. (2021). Preexisting conditions in older adults with mild traumatic brain injuries. Brain Injury, 35(12-13), 1607–1615. Web.
Khalili, P., Nadimi, A. E., Baradaran, H. R., Janani, L., Rahimi-Movaghar, A., Rajabi, Z., Rahmani, A., Hojati, Z., Khalagi, K., & Motevalian, S. A. (2021). Validity of self-reported substance use: research setting versus primary health care setting. Substance Abuse Treatment, Prevention, and Policy, 16(1), 66. Web.
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