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Treatment Patterns During Major Depressive Episodes Among Patients with Major Depressive Disorder: A Retrospective Database Analysis
BACKGROUND: Major depressive disorder, a highly prevalent mental health condition, can be challenging to treat. OBJECTIVE: We aimed to characterize treatment patterns within and across multiple major depressive episodes in patients receiving treatment for major depressive disorder. METHODS: Adults w...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392824/ https://www.ncbi.nlm.nih.gov/pubmed/35771409 http://dx.doi.org/10.1007/s40801-022-00316-4 |
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author | Jain, Rakesh Higa, Sara Keyloun, Katelyn Park, Julie Bonafede, Machaon Tung, Amy Gillard, Patrick Cutler, Andrew J. |
author_facet | Jain, Rakesh Higa, Sara Keyloun, Katelyn Park, Julie Bonafede, Machaon Tung, Amy Gillard, Patrick Cutler, Andrew J. |
author_sort | Jain, Rakesh |
collection | PubMed |
description | BACKGROUND: Major depressive disorder, a highly prevalent mental health condition, can be challenging to treat. OBJECTIVE: We aimed to characterize treatment patterns within and across multiple major depressive episodes in patients receiving treatment for major depressive disorder. METHODS: Adults with newly diagnosed major depressive disorder and one or more major depressive episodes were identified using the IBM(®) MarketScan(®) Commercial database. Eligible patients had 12 months of continuous enrollment before and after diagnosis. Lines of therapy were periods of continuous treatment with one or more antidepressant claims. Antidepressant, atypical antipsychotic, or mood stabilizer regimens as monotherapy or adjunctive therapy were characterized by lines of therapy and major depressive episodes. Descriptive analyses were performed. RESULTS: A total of 455,082 patients were included in the analysis. The majority of treatment regimens were monotherapy, which decreased with subsequent lines of therapy, while adjunctive treatments increased with subsequent lines of therapy. There were 1860 unique adjunctive regimens identified. Of the 40,315 patients (9%) who received adjunctive therapy, 8024 (20%; 2% of all patients) received atypical antipsychotic-adjunctive regimens. Only 19% of patients treated with atypical antipsychotic-adjunctive therapy discontinued treatment versus 42% of monotherapy-treated patients. On average, patients who received an adjunctive atypical antipsychotic received it as their third line of therapy and approximately 400 days after the initial antidepressant treatment. CONCLUSIONS: In this study, many patients continued monotherapy major depressive disorder regimens and experienced multiple treatment changes. Few patients were treated with adjunctive therapy. These results suggest underutilization of potentially effective treatments, which represents an opportunity to optimize the treatment of patients with major depressive disorder. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40801-022-00316-4. |
format | Online Article Text |
id | pubmed-9392824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93928242022-08-22 Treatment Patterns During Major Depressive Episodes Among Patients with Major Depressive Disorder: A Retrospective Database Analysis Jain, Rakesh Higa, Sara Keyloun, Katelyn Park, Julie Bonafede, Machaon Tung, Amy Gillard, Patrick Cutler, Andrew J. Drugs Real World Outcomes Original Research Article BACKGROUND: Major depressive disorder, a highly prevalent mental health condition, can be challenging to treat. OBJECTIVE: We aimed to characterize treatment patterns within and across multiple major depressive episodes in patients receiving treatment for major depressive disorder. METHODS: Adults with newly diagnosed major depressive disorder and one or more major depressive episodes were identified using the IBM(®) MarketScan(®) Commercial database. Eligible patients had 12 months of continuous enrollment before and after diagnosis. Lines of therapy were periods of continuous treatment with one or more antidepressant claims. Antidepressant, atypical antipsychotic, or mood stabilizer regimens as monotherapy or adjunctive therapy were characterized by lines of therapy and major depressive episodes. Descriptive analyses were performed. RESULTS: A total of 455,082 patients were included in the analysis. The majority of treatment regimens were monotherapy, which decreased with subsequent lines of therapy, while adjunctive treatments increased with subsequent lines of therapy. There were 1860 unique adjunctive regimens identified. Of the 40,315 patients (9%) who received adjunctive therapy, 8024 (20%; 2% of all patients) received atypical antipsychotic-adjunctive regimens. Only 19% of patients treated with atypical antipsychotic-adjunctive therapy discontinued treatment versus 42% of monotherapy-treated patients. On average, patients who received an adjunctive atypical antipsychotic received it as their third line of therapy and approximately 400 days after the initial antidepressant treatment. CONCLUSIONS: In this study, many patients continued monotherapy major depressive disorder regimens and experienced multiple treatment changes. Few patients were treated with adjunctive therapy. These results suggest underutilization of potentially effective treatments, which represents an opportunity to optimize the treatment of patients with major depressive disorder. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40801-022-00316-4. Springer International Publishing 2022-06-30 /pmc/articles/PMC9392824/ /pubmed/35771409 http://dx.doi.org/10.1007/s40801-022-00316-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Jain, Rakesh Higa, Sara Keyloun, Katelyn Park, Julie Bonafede, Machaon Tung, Amy Gillard, Patrick Cutler, Andrew J. Treatment Patterns During Major Depressive Episodes Among Patients with Major Depressive Disorder: A Retrospective Database Analysis |
title | Treatment Patterns During Major Depressive Episodes Among Patients with Major Depressive Disorder: A Retrospective Database Analysis |
title_full | Treatment Patterns During Major Depressive Episodes Among Patients with Major Depressive Disorder: A Retrospective Database Analysis |
title_fullStr | Treatment Patterns During Major Depressive Episodes Among Patients with Major Depressive Disorder: A Retrospective Database Analysis |
title_full_unstemmed | Treatment Patterns During Major Depressive Episodes Among Patients with Major Depressive Disorder: A Retrospective Database Analysis |
title_short | Treatment Patterns During Major Depressive Episodes Among Patients with Major Depressive Disorder: A Retrospective Database Analysis |
title_sort | treatment patterns during major depressive episodes among patients with major depressive disorder: a retrospective database analysis |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392824/ https://www.ncbi.nlm.nih.gov/pubmed/35771409 http://dx.doi.org/10.1007/s40801-022-00316-4 |
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