Related Experiment Video
Updated: Jan 8, 2026
Author Spotlight: Therapeutic Benefit of Closed-Loop Deep Brain Stimulation in Depression Treatment
Published on: July 7, 2023
Prediction model for medication adherence using a medication event monitoring system in recurrent major depressive
Pan Lin1, Chunting Hou, Jinjie Ji
1Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
Abstract:
To investigate the risk factors associated with nonadherence to antidepressive drugs in patients with recurrent major depressive disorder (MDD). A total of 847 patients undergoing maintenance treatment for recurrent MDD were prospectively enrolled. One year after discharge, patients' adherence to the prescribed antidepressants was tracked over a 30-day period using the medication event monitoring system. Low adherence was identified in 30.7% of cases. Patients with more than three exacerbations had a 2.040-fold higher risk of low adherence ( P < 0.025). Those with drug concentrations below or above the recommended therapeutic range had a 2.096-fold ( P < 0.025) and 2.361-fold ( P < 0.05) increased risk of low adherence. Patients rating their depression severity from mild-to-severe showed a trend toward increased risk of low adherence, with odds ratios (ORs) of 2.020 (NS), 4.644 ( P < 0.025), and 5.347 ( P < 0.025). Patients reporting mild to severe side effects exhibited higher risks of low adherence, with ORs of 2.212 (NS), 3.993 ( P < 0.05), and 10.965 ( P < 0.001), respectively. Conversely, older age and Drug Attitude Inventory-10 scores greater than 0 were positive predictors of adherence. A prognostic index greater than or equal to 0.800 indicated a high risk of developing low adherence. A predictive model was established to assess adherence after 1 year of maintenance treatment for recurrent MDD. Patients at high risk of low adherence could be promptly identified and closely monitored, enabling physicians to develop targeted strategies to improve adherence.
Insights
Low adherence to antidepressants is common in major depressive disorder (MDD) patients. Factors like exacerbations, incorrect drug levels, and side effects increase nonadherence risk, while older age improves it.
Area of Science:
- Psychiatry
- Pharmacology
- Clinical Medicine
Background:
- Recurrent major depressive disorder (MDD) requires long-term management.
- Nonadherence to antidepressant medication is a significant challenge in maintaining treatment efficacy.
- Identifying risk factors for nonadherence is crucial for improving patient outcomes.
Purpose of the Study:
- To investigate risk factors for nonadherence to antidepressant drugs in patients with recurrent MDD.
- To develop a predictive model for identifying patients at high risk of nonadherence.
Main Methods:
- Prospective enrollment of 847 patients undergoing maintenance treatment for recurrent MDD.
- Tracking adherence over 30 days using the medication event monitoring system one year post-discharge.
- Statistical analysis to identify risk factors, including exacerbations, drug concentrations, depression severity, side effects, age, and the Drug Attitude Inventory-10.
Main Results:
- Low adherence was observed in 30.7% of patients.
- Increased risk of nonadherence was associated with >3 exacerbations (OR 2.040), suboptimal drug concentrations (OR 2.096-2.361), increasing depression severity (OR 4.644-5.347), and side effects (OR 3.993-10.965).
- Older age and higher Drug Attitude Inventory-10 scores predicted better adherence.
Conclusions:
- A predictive model identified patients at high risk (prognostic index ≥0.800) for nonadherence.
- Early identification allows for targeted interventions to improve antidepressant adherence in recurrent MDD.
- Physicians can use this model to proactively manage patient adherence and optimize treatment outcomes.
More Related Videos
Related Concept Videos
01:23Antidepressant Drugs: MAOIs and Other Agents
01:28Drug Therapy
Antianxiety Medications