Volume 29 Issue 10
Oct.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(10): 1731-1734
PAN Jianbo, YE Mengfei, LI Yahong. Analysis on the development track and influencing factors of treatment compliance of patients with major depression[J]. Chinese Journal of General Practice, 2025, 23(10): 1731-1734. doi: 10.16766/j.cnki.issn.1674-4152.004216
Citation: PAN Jianbo, YE Mengfei, LI Yahong. Analysis on the development track and influencing factors of treatment compliance of patients with major depression[J]. Chinese Journal of General Practice, 2025, 23(10): 1731-1734. doi: 10.16766/j.cnki.issn.1674-4152.004216
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Analysis on the development track and influencing factors of treatment compliance of patients with major depression

doi: 10.16766/j.cnki.issn.1674-4152.004216
  • 1.

    Department of Neurology, Shaoxing Seventh People' s Hospital, Shaoxing, Zhejiang 312000, China

Funds:

 2024KY484

  • Received Date: 2024-09-05
    Abstract
  •   Objective  Treatment adherence in patients with major depressive disorder (MDD) influences treatment outcomes and prognosis. To clarify the developmental trajectory of treatment adherence in MDD patients and its associated factors, this study enrolled MDD patients, analyzed their adherence trajectories using group-based trajectory model (GBTM), and explored influencing factors, aiming to provide a scientific basis for improving treatment adherence and optimizing clinical intervention strategies.  Methods  A total of 96 patients with MDD admitted to Shaoxing Seventh People' s Hospital from May 2021 to July 2022 were selected by convenient sampling method. Information such as gender, age and education level of patients were collected, and the treatment compliance of MDD patients in different time periods was evaluated by Morisky medication adherence scale-8 (MMAS-8). The development track of treatment compliance of MDD patients was analyzed by using the GBTM, and the influencing factors were analyzed by using the multinomial logistic regression coefficient.  Results  After 6 weeks of follow-up, 92 questionnaires were statistically valid, and the effective recovery rate was 95.83% (92/96). The optimal treatment compliance trajectory type model (BIC=-4 925.8) was fitted by GBTM, which was divided into three groups: continuous decline group (n=32), relatively stable group (n=41) and continuous high-level group (n=19). There were significant differences in the education level, medication time, family income per capita and doctor-patient relationship among the three groups (P < 0.05). Taking the declining group as a reference, the multinomial logistic regression coefficient analysis showed that education level, medication time, family per capita monthly income and doctor-patient relationship were the influencing factors of MDD patients' treatment compliance trajectory group (P < 0.05).  Conclusion  The developmental trajectories of treatment adherence in MDD patients exhibit heterogeneity, which is associated with educational level, medication duration, family monthly per capita income, and doctor-patient relationship.

     

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