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Tolerance of interferon-α therapy for hepatitis C is often poor and medication is expensive. Compliance with diagnostic procedures and, even more important, with medical treatment is obviously critical to minimize the rate of dropouts and to maximize cost efficiency. Moreover, a good concordance with scheduled follow-ups is important for early recognition and treatment of interferon-associated side effects. Therefore, we investigated psychiatric symptoms, interpersonal problems, different modes of acquisition, and sociodemographic factors in HCV-infected patients as possible predictor variables of good versus poor compliance. In a longitudinal study, 74 patients with chronic hepatitis C (CHC) who fulfilled the criteria for treatment with interferon (IFN)-α-2b with or without ribavirin were investigated prospectively to identify those at risk for poor compliance during IFN medication. To assess predictive factors, we used both IIP-C (Inventory of Interpersonal Problems) and SCL-90-R (Symptom Check List 90 Items Revised) as psychometric instruments. Sociodemographic and somatic variables as well as compliance during IFN therapy were also evaluated. Poor compliance before or during medication was demonstrated by 23% (N = 17) of HCV patients. Sociodemographic factors and mode of acquisition, particularly former intravenous drug (IVD) abuse were not significantly linked with compliance. Logistic regression analysis demonstrated that the subgroup of patients with compliance problems was best identified by both pretherapeutic psychiatric symptoms and interpersonal problems. Predictive value was best and significant for anger-hostility (P = 0.009), intrusive (P = 0.014), depression (P = 0.015), and phobic anxiety (P = 0.049). Adopting this statistical prediction model, sensitivity was 47.1%, but specificity reached 98.3%. In total, 86.5% of cases were classified correctly. In situations of unclear indication for IFN therapy, psychological variables assessment of before the beginning of treatment may represent an additional decision-making factor.