Journal of Affective Disorders Reports (Apr 2024)

Patient and provider perspectives on the phenomenon and effective treatment of treatment-resistant depression: A grounded theory

  • Aubrey Bornhoff,
  • Edward B. Davis,
  • Jonathon Yousey,
  • Cynthia Neal Kimball,
  • Emily Stier,
  • Emily Wang

Journal volume & issue
Vol. 16
p. 100779

Abstract

Read online

Background: Treatment-Resistant Depression (TRD) is a poorly understood but prevalent clinical phenomenon that lacks a widely accepted definition, explanatory model, or set of practice recommendations. It involves a chronic form of unipolar Major Depressive Disorder (MDD) that fails to respond to at least two first-line clinical treatments. TRD affects as many as 70 % of patients who fail to respond to their first trial of antidepressant medication and 60 % of patients who fail to respond to their first phase of psychotherapy. Purpose: This qualitative study aims to develop a model for understanding the phenomenon of unipolar TRD and the practices involved in its effective treatment. Methods: This study involved a grounded theory analysis of interviews with four adult-American patients with unipolar TRD and five American providers who routinely treat such patients. Results: A model of unipolar TRD was developed, explaining common etiological and maintaining factors of unipolar TRD and offering recommendations for guiding effective treatment. Limitations: This study had a small sample size (N = 9) with limited sociodemographic diversity (all Americans; only two females; one racial/ethnic minority; no sexual minorities), which may limit its generalizability. Conclusions: Nevertheless, its emergent theory underscores the importance of TRD patients cultivating positive views of medication and psychotherapy while collaborating with their providers to obtain psychoeducation, build mindfulness/coping skills, enhance social support, and re-engage with pleasurable activities. It recommends that mental health providers focus on processing TRD patients’ subjective experiences, validating patients’ frustrations, and monitoring and calibrating patients’ expectations.

Keywords