Introduction
Depression is a mood disorder, that is, a complex of mental disorders associated primarily with the emotional sphere. By applying PICO (patient, intervention, comparison, outcome) as a tool to analyze the underlying issue, it is possible to understand the full scope of the problem. The given methodological tool allows an analyst to conduct a systematic and structural review of the current data on a particular issue, such as depression. In addition, depression can be characterized by certain disorders in the field of thinking. People with the given disorder are more prone to suffer a severe form of depression and find it difficult to concentrate and carry out a targeted mental activity, which is associated with concentration. Thus, cases of depression can be prevalent among older adults, non-Western cultures, and people with cardiovascular diseases.
Pico Analyses of Research Topic
Depression has such physiological manifestations as sleep disturbances and intestinal functions. In patients with depression, the general energy level is disturbed, and they feel tired. Intervention is depression somatization and it occurs when a person experiences high discomfort in the body. In comparison with other mental disorders, a person’s behavior can show a serious passivity, where he or she attempts to avoid contact with people with refusal from entertainment. The outcome is that depression is often accompanied by increasing abuse of alcohol or other psychoactive substances that are used to improve mood. The main question is how depression is formed and developed, and what are the primary triggers. Therefore, the question is: in older adults, non-Western cultures, and people with cardiovascular diseases (P), how depression screening and detection methodologies (I) compared to conventional scoring systems (C) affect the relevant treatment procedures (O)?
Search Strategy
Direct resources will be used in order to access information from primary researchers of depression. Search terms and criteria will include using the word “depression” and “systematic review”, and Boolean search string setting will focus on the publications since 2014. Five resources will be used from SAGE publications from which the relevant articles will be selected. The main exclusion criteria will be indirect sources and date of publication because articles written before 2014 will be considered as non-viable. The primary inclusion criteria are the presence of the keywords in the papers and their direct relevance to the subject.
Analysis of Literature
Table 1. Literature Analysis.
The best treatment option for the patient with depression is to use the mentioned screening, detection, and scoring methodologies in combination, because each approach possesses a unique set of benefits and limitations.
Conclusion
In conclusion, it is important to note that depression is present in various groups of people. These features might include cardiovascular issues, older age, and non-Western cultural origin. In addition, the current intervention and screening methodologies might not be highly accurate because they are designed to measure depression in specific individuals with unique conditions. In other words, the causes of the given mental disorder can highly vary, and there is no sufficient evidence to point out a primary factor that triggers depression.
Literature Matrix
Table 1. Literature Analysis.
References
Bruce, M. L., & Sirey, J. A. (2018). Integrated care for depression in older primary care patients. The Canadian Journal of Psychiatry, 63(7), 439-446.
Fleischer, L. M. (2015). Castration depression: Affect, signal affect, and/or depressive illness? Journal of the American Psychoanalytic Association, 63(2), 271-297.
Guiraud, V., Gallarda, T., Calvet, D., Turc, G., Oppenheim, C., Rouillon, F., & Mas, J. L. (2016). Depression predictors within six months of ischemic stroke: The DEPRESS Study. International Journal of Stroke, 11(5), 519-525.
Roseman, M., Kloda, L. A., Saadat, N., Riehm, K. E., Ickowicz, A., Baltzer, F., … Thombs, B. D. (2016). Accuracy of depression screening tools to detect major depression in children and adolescents: A systematic review. The Canadian Journal of Psychiatry, 61(12), 746-757.
Vindbjerg, E., Makransky, G., Mortensen, E. L., & Carlsson, J. (2019). Cross-cultural psychometric properties of the Hamilton Depression Rating Scale. The Canadian Journal of Psychiatry, 64(1), 39-46.