The Limitations of Pooling Data - A Review of the Relationship Between Meta-analysis and the Challenges to Finding Non-Medical Ways to Cure Depression

Authors

  • Niva Shirsekar Saint Francis High School
  • Sophie Phillips

DOI:

https://doi.org/10.47611/jsrhs.v12i4.5797

Keywords:

meta analysis, depression, mental health, statistics, pooling data, non-medical ways to cure depression, anxiety, laughter therapy, medidation, mindfulness, exercise therapy

Abstract

Meta-analyses are currently the best method available to combine results from different studies and test the efficacy of various treatments. However, many issues such as different forms of treatment or publication bias affecting which results are available arise when trying to combine results from studies testing the effectiveness of a therapy on mental illness. We review three meta analyses studying non-drug therapies for depression. We identify major issues in study quality, publication bias, and heterogeneity between studies within each review, and discuss strategies and limitations for overcoming these issues. We highlight the need for standardized methods to better focus efforts to find effective non-drug therapies.

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References or Bibliography

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Published

11-30-2023

How to Cite

Shirsekar, N., & Phillips, S. . (2023). The Limitations of Pooling Data - A Review of the Relationship Between Meta-analysis and the Challenges to Finding Non-Medical Ways to Cure Depression. Journal of Student Research, 12(4). https://doi.org/10.47611/jsrhs.v12i4.5797

Issue

Section

HS Research Projects