{"id":8230,"date":"2024-05-16T01:00:00","date_gmt":"2024-05-16T01:00:00","guid":{"rendered":"https:\/\/bostonsp.com\/?p=8230"},"modified":"2026-07-27T14:37:19","modified_gmt":"2026-07-27T14:37:19","slug":"characterizing-the-treatment-patterns-medication-burden-and-patient-demographics-of-older-adults-with-major-depressive-disorder-treated-with-antidepressants-with-or-without-selected-comorbidities","status":"publish","type":"post","link":"https:\/\/bostonsp.com\/index.php\/2024\/05\/16\/characterizing-the-treatment-patterns-medication-burden-and-patient-demographics-of-older-adults-with-major-depressive-disorder-treated-with-antidepressants-with-or-without-selected-comorbidities\/","title":{"rendered":"Characterizing the treatment patterns, medication burden, and patient demographics of older adults with major depressive disorder treated with antidepressants with or without selected comorbidities"},"content":{"rendered":"

Gannu, L., Devine, F., Popadic, L., Lal, S., Witte, M., Potter, M., & Hass, S. (2024). Characterizing the treatment patterns, medication burden, and patient demographics of older adults with major depressive disorder treated with antidepressants with or without selected comorbidities. Current medical research and opinion, 1\u201312. Advance online publication. https:\/\/doi.org\/10.1080\/03007995.2024.2348603<\/a><\/span><\/p>\n

View article<\/strong><\/a><\/p>\n\n\n

<\/div>\n\n\n

Abstract<\/h4>\n

Objective
Evaluate clinical characteristics, comorbidity burden, major depressive disorder (MDD)-related healthcare resource utilization (HCRU), medication burden, and antidepressant treatment (ADT) patterns among older adults with MDD with and without selected comorbidities.<\/p>\n

Methods
Using Komodo\u2019s Healthcare Map claims data (1\/1\/2016-9\/30\/2022), patients with MDD (\u226565\u2009years) treated with ADTs were assessed 24\u2009months preceding (baseline) and 12\u2009months following (follow-up) first observed ADT prescription fill (index). Patients were separated into cohorts of those with \u22651 of 5 selected comorbidities and those without. Clinical characteristics, comorbidities, and MDD-related HCRU were assessed during baseline; treatment patterns were assessed during follow-up. Baseline and follow-up all-cause and comorbidity-specific medication burdens (mean prescription claims\/month) were determined.<\/p>\n

Results
Among the total cohort (N\u2009=\u2009417,643), 97.1% had \u22651 of 5 selected comorbidities: hypertension (80.3%), hyperlipidemia (75.4%), diabetes (54.2%), anxiety disorder (39.0%), and chronic obstructive pulmonary disorder (19.5%). Baseline and follow-up all-cause medication burdens per month were 3.8 and 4.5 for patients with selected comorbidities and 1.7 and 2.3 for those without. During baseline, most patients (96.0% with selected comorbidities, 96.2% without) had \u22651 outpatient visit, and a numerically higher percentage of those with vs. without selected comorbidities had MDD-related emergency room (13.9% vs. 6.0%) and inpatient (13.5% vs. 4.1%) visits. The majority of both cohorts (61.0% with selected comorbidities, 59.5% without) underwent treatment pattern changes.<\/p>\n

Conclusion
This study highlights the medication burden and ADT patterns in older adults with MDD, assessing these outcomes among patients with and without comorbidities. Numerically higher medication burdens among those with selected comorbidities suggests future studies could investigate the impact of comorbidities on MDD-related care.<\/p>","protected":false},"excerpt":{"rendered":"

Gannu, L., Devine, F., Popadic, L., Lal, S., Witte, M., Potter, M., & Hass, S. (2024). Characterizing the treatment patterns, medication burden, and patient demographics of older adults with major depressive disorder treated with antidepressants with or without selected comorbidities. Current medical research and opinion, 1\u201312. Advance online publication. https:\/\/doi.org\/10.1080\/03007995.2024.2348603<\/a> View article Abstract ObjectiveEvaluate clinical […]<\/p>\n","protected":false},"author":9,"featured_media":8232,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"_wpcom_ai_launchpad_first_post":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[9],"tags":[396,395,398,391,397,393,180,392,394,99],"class_list":["post-8230","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publications","tag-age-65","tag-antidepressant-treatment-patterns","tag-comorbidity-burden","tag-depression","tag-elderly","tag-hcru","tag-healthcare-resource-utilization","tag-mdd","tag-medication-burden","tag-real-world-evidence"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t