Clinical Variables Associated with Successful Treatment of Depression or Anxiety in Collaborative Care.
Carol HardyBrandn GreenVirna LittleKarl VanderwoodPublished in: The journal of behavioral health services & research (2024)
Collaborative Care, an evidence-based model, has proven effective in treating depression and anxiety in healthcare settings. However, limited attention has been paid to exploring treatment outcome differences by clinical variables and diagnosis within this model. While previous research suggests that early and frequent contacts and swift treatment access lead to positive outcomes for depression and anxiety, these aspects have not been comprehensively examined in Collaborative Care. This study investigates the impact of clinical variables on treatment completion in patients primarily diagnosed with anxiety or depression who received collaborative care treatment as a treatment program. Analysis was completed as an observational study of patients (n =2018) with behavioral health diagnoses spanning from 2016 to 2023. Classification analysis offers insights into optimal practices for implementing Collaborative Care across diverse healthcare populations from pediatric to geriatric. Identifying clinical characteristics associated with successful treatment in Collaborative Care has far-reaching implications for model adoption and enhancing patient outcomes. Across all results, patients who received more clinical support and had shorter enrollment durations showed a strong association with successful treatment completion.
Keyphrases
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- pain management
- depressive symptoms
- machine learning
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- patient reported