Functional Status and Somatization as Predictors of Medical Offset in Anxious and Depressed Patients

Abstract Objective Certain anxious/depressed primary care patients decrease medical utilization after mental health treatment. Previous research has established demo-graphic and medical comorbidities as distinguishing these patients. We asked whether characteristics such as symptom severity, somatization, or health-related quality of life (HRQoL) could also distinguish patients who reduce or increase primary care utilization after mental health care. Methods Primary care patients in a mixed-model HMO were screened for untreated anxiety with and without depression, using the Symptom Checklist (SCL-90-R) and medical records abstractions, and also for HRQoL (SF-36). We identified 165 symptomatic patients who subsequently received mental health treatment and then defined two subgroups: 1) offset patients (reduced medical utilization the year after initiation of mental health treatment) (N=97); and 2) no-offset patients (increased utilization) (N =68). Results Three HRQoL domains (general health perceptions, physical functioning, and role functioning– physical) predicted increased offset savings in the year after initiation of mental health treatment. Each point of improved functioning in these domains was associated with $4 to $10 of additional offset savings. Somatization-related comorbidities were predictive of greater additional costs ($230). Conclusion Using models to predict individual patient costs, we found that HRQoL and somatic comorbidities did not predict by anxiety/depression symptom severity or medical comorbidities, but by increasing or decreasing utilization after mental health care. Patients with higher functioning levels and no somatic comorbidities were most likely to reduce utilization. These findings support growing evidence for the need of inclusion of reliable indicators of somatization and patients' functioning in offset research and inpatient care.