Expectations of treatment outcome in complex cases of patients with chronic pain: A study on the DATAPAIN cohort.

ABSTRACT

BACKGROUND: A better insight in how the biopsychosocial factors influence patient outcome(s) may provide information that helps selecting the optimal pain management for a specific group. METHODS: Categorization was made in the prospective DATAPAIN registry, in which patients with pain severity (Numeric Rating Scale [NRS] 7-10), depression or anxiety (Hospital Anxiety and Depression Scale > 10), and pain catastrophizing (Pain Catastrophizing Scale > 31) were identified as complex cases. Patient outcomes; treatment satisfaction on the Patient Global Impression of Change (PGIC), pain relief (NRS), pain interference on the Brief Pain Inventory (BPI) and quality of life indicator General Perceived Health (GPH) were evaluated. Logistic regression analyzed if belonging to the complex cases showed modification in the outcome of the PGIC and GPH. Linear regression was observed if complex cases differed in average reduction in pain relief and interference compared to non-complex cases. RESULTS: 1637 patients were included, of which 345 (21.08%) were considered complex cases. The changes in scores of pain relief and BPI active subscale were not significantly different between groups. The BPI affective subscale had a different change in score (-0.509; p 0.002). The complex cases had an odds ratio (OR) of 0.59 (95% confidence interval [CI] 0.36-0.77) on treatment satisfaction compared to non-complex cases, and an OR of 0.28 (95% CI 0.11-0.56) on the GPH. CONCLUSION: When treating patients with complex cases, desired treatment outcome(s) should be recognized by specialists and patients, as these may be less likely to occur.