Variables Associated With Non-Response in Anxiety and Depression Among Patients Receiving Treatment in a Partial...

Area of Science:

• Psychiatry and Behavioral Science
• Clinical Psychology

Background:

• A significant proportion of patients do not achieve desired outcomes from psychological treatments.
• Identifying predictors of non-response is crucial for optimizing treatment strategies and patient care.

Purpose of the Study:

• To characterize patients who did not respond to treatment in a partial hospitalization program (PHP).
• To identify baseline variables that are most predictive of psychological treatment non-response.

Main Methods:

• Compared variables between treatment responders and non-responders using chi-square and independent samples t-tests.
• Employed two logistic LASSO regression models to identify predictors of non-response in patients with elevated anxiety or depression.

Main Results:

• 24.8% of anxiety and 36.3% of depression patients were classified as non-responders.
• Non-responders exhibited greater clinical severity, functional impairment, comorbid diagnoses, and higher rates of attended/missed treatment days.

Conclusions:

• Greater clinical severity, functional impairment, and absences predict lower treatment response in PHP.
• Further research with independent samples is needed to validate findings and inform clinical strategies to improve treatment outcomes.