Diagnosing Depression: Implementation and Evaluation Plan Research Paper

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Introduction

Identifying and diagnosing depression is a rather difficult task since there are no direct physical signs that can point to the presence of the problem. However, by exploring the changes in a patient’s behavior, one can pinpoint the changes thereof that may be characteristic of the specified disorder and, thus inform the further decisions made by a therapist (Carlsen, Mandel, & Toso, 2018). In the study, two tests for determining the presence of depression are compared to identify the superior tool. In the study, the effects of the Beck Depression Inventory (BDI) test will be determined in order to define its efficacy in locating the presence of depression symptoms in adolescents.

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Problem Statement

To diagnose depression in adolescents, one needs to embrace a wide range of factors, some of which may be defined as rather subjective. In addition, the inability to locate depression in adolescents at an early stage and address it respectively is likely to lead to dire outcomes. Recent studies show that depression in adolescents may lead to further complications including suicidal ideation, difficulties in social interactions, and health issues (Boyer et al., 2017). Therefore, determining the tool that allows locating the symptoms of depression accurately is critical to the well-being of the target demographic.

Design Plan

In order to test the effects that the BDI tool has on determining depression in adolescents, one will have to conduct a randomized controlled trial. By using Student’s t-test, one will compare two groups of patients, one of which will be diagnosed with the help of BDI, whereas the other will deploy a traditional examination. The application of the test will allow proving the efficacy of the selected diagnosing tool and consider its advantages in regard to locating the presence of depression symptoms in adolescents.

Method of Data Collection

The information will be gathered with the help of an analysis of patients’ health records. Specifically, the instances of locating the instances of depression successfully with the help of the BDI tool and the cases of determining depression by using a traditional examination will be compared. The suggested tool is likely to have a better effect at locating trustworthy data than using interviews or surveys since both will inevitably incorporate the elements of subjective information (Obermeyer, Samra, & Mullainathan, 2017). A study of patient history, however, will provide only the data that will be linked directly to the analysis and can be characterized by high levels of objectivity.

Implementation Plan

The research will be implemented by establishing the study in the setting of a local facility addressing mental health issues of adolescents. By contacting the hospital staff members, describing the goals of the research, and asking the selected participants to sign the informed consent, one will complete the first stage of research. Afterward, the RCT within two groups will be conducted by performing Student’s t-test and determining the variance within the two groups in question.

Evaluation Plan

The assessment of the proposed technique of determining the presence of depression in adolescents will involve the analysis of the patients’ health records. Particularly, the successful treatment outcomes and the further recovery from the diagnosed problem will be seen as the evidence regarding the importance of using BDI.

Conclusion

Identifying depression in adolescents is a challenging task due to the differences in the expression of the disorder and the presence of multiple factors affecting its development. Therefore, a functioning tool for locating the presence of depression in adolescents is critical for the further treatment and recovery. The application of BDI will be considered in the study to create a framework for diagnosing the presence of depression in adolescents. As a result, opportunities for better treatment will be provided.

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References

Boyer, C. B., Greenberg, L., Chutuape, K., Walker, B., Monte, D., & Kirk, J. (2017). Exchange of sex for drugs or money in adolescents and young adults: An examination of sociodemographic factors, HIV-related risk, and community context. Journal of Community Health, 42(1), 90-100. Web.

Carlsen, A., Mandel, J., & Toso, G. (2018). Transcranial magnetic stimulation for the treatment of major depressive disorder in adolescents and young adults. Brain Stimulation, 11(3), 1-8. Web.

Obermeyer, Z., Samra, J. K., & Mullainathan, S. (2017). Individual differences in normal body temperature: Longitudinal big data analysis of patient records. BMJ, 359, 1-14. Web.

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IvyPanda. (2020, December 23). Diagnosing Depression: Implementation and Evaluation Plan. https://ivypanda.com/essays/diagnosing-depression-implementation-and-evaluation-plan/

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"Diagnosing Depression: Implementation and Evaluation Plan." IvyPanda, 23 Dec. 2020, ivypanda.com/essays/diagnosing-depression-implementation-and-evaluation-plan/.

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IvyPanda. (2020) 'Diagnosing Depression: Implementation and Evaluation Plan'. 23 December.

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IvyPanda. 2020. "Diagnosing Depression: Implementation and Evaluation Plan." December 23, 2020. https://ivypanda.com/essays/diagnosing-depression-implementation-and-evaluation-plan/.

1. IvyPanda. "Diagnosing Depression: Implementation and Evaluation Plan." December 23, 2020. https://ivypanda.com/essays/diagnosing-depression-implementation-and-evaluation-plan/.


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IvyPanda. "Diagnosing Depression: Implementation and Evaluation Plan." December 23, 2020. https://ivypanda.com/essays/diagnosing-depression-implementation-and-evaluation-plan/.

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