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Patient satisfaction with antidepressants: an Internet-based study
Jun Shigemura1, Yutaka Sato, Aihide Yoshino
1Department of Psychiatry, National Defense Medical College, 3-2 Namiki, Tokorozawa 359-8513 Japan. shige@ndmc.ac.jp
Patient satisfaction with antidepressants (ADs) decreases with the number of medications. Efficacy and fewer side effects are key drivers of higher satisfaction in individuals with major depressive disorder.
Area of Science:
- Psychiatry
- Pharmacology
- Health Services Research
Background:
- Patient satisfaction with antidepressants (ADs) is crucial for treatment adherence but influenced by multiple, incompletely understood factors.
- Understanding patient perspectives on ADs is essential for optimizing depression management.
- Individual contributions of various factors to antidepressant satisfaction remain unclear.
Purpose of the Study:
- To investigate factors influencing patient satisfaction with antidepressant medications.
- To compare satisfaction reasons across different classes of antidepressants.
- To identify predictors of higher patient satisfaction with AD treatment.
Main Methods:
- An online survey of 1199 Japanese patients with major depressive disorder was conducted.
- Antidepressant satisfaction was quantified using a 5-point scale, averaged to create a Satisfaction Score (SS).
- Logistic regression identified predictors of higher SS, focusing on efficacy, side effects, and dosing frequency.
Main Results:
- Satisfaction Score (SS) negatively correlated with the number of ADs taken (r=-.074, p=.011).
- While SS was similar across different AD subgroups (fluvoxamine, milnacipran, paroxetine, TCAs), their satisfaction reasons varied.
- Reporting "efficacy" and "fewer side effects" were significant predictors of higher SS.
Conclusions:
- Patient satisfaction with antidepressants is influenced by perceived efficacy and tolerability.
- Increasing the number of antidepressants may lead to decreased patient satisfaction.
- Future research should consider patient-reported outcomes and potential biases in online surveys.
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