Development of decision rules for an adaptive aftercare intervention based on individual symptom courses for agoraphobia patients.

As other mental illnesses, agoraphobia is associated with a significant risk for relapse after the end of treatment. Personalized and adaptive approaches appear promising to improve maintenance treatment and aftercare as they acknowledge patients' varying individual needs with respect to intensity of care over time. Currently, there is a deficit of knowledge about the detailed symptom course after discharge from acute treatment, which is a prerequisite for the empirical development of rules to decide if and when aftercare should be intensified. Therefore, this study aimed firstly at the investigation of the naturalistic symptom course of agoraphobia after discharge from initial treatment and secondly at the development and evaluation of a data-driven algorithm for a digital adaptive aftercare intervention. A total of 56 agoraphobia patients were recruited in 3 hospitals. Following discharge, participants completed a weekly online monitoring assessment for three months. While symptom severity remained stable at the group level, individual courses were highly heterogeneous. Approximately two-thirds of the patients (70%) reported considerable symptoms at some time, indicating a need for medium or high-intense therapeutic support. Simulating the application of the algorithm to the data set resulted in an early (86% before week six) and relatively even allocation of patients to three groups (need for no, medium, and high-intense support respectively). Overall, findings confirm the need for adaptive aftercare strategies in agoraphobia. Digital, adaptive approaches may provide immediate support to patients who experience symptom deterioration and thus promise to contribute to an optimized allocation of therapeutic resources and overall improvement of care.

Technology-enhanced maintenance of treatment gains in eating disorders: efficacy of an intervention delivered via text messaging.

OBJECTIVE: Given the lack of maintenance interventions for eating disorders, a program delivered via the short message service (SMS) and text messaging was developed to support patients after their discharge from inpatient treatment. METHOD: The efficacy of the intervention was studied in a randomized controlled trial. Additionally, its impact on the utilization of outpatient treatment during follow-up was investigated. One hundred sixty-five female patients with bulimia nervosa or a related eating disorder not otherwise specified were randomly assigned to a control group (treatment as usual; TAU) or an intervention group (SMS-based maintenance intervention; SMS). After hospital discharge, participants in the intervention group submitted a weekly symptom report via text message for 16 weeks and received tailored feedback. Primary outcome was the rate of partial remission 8 months after discharge from inpatient treatment. RESULTS: The difference in remission rates reached significance in the intent-to-treat analyses (SMS = 51.2%; TAU = 36.1%), χ²(1) = 3.81, p = .05, and approached significance in the completer analysis (SMS = 59.2%; TAU = 43.5%), χ²(1) = 3.44, p = .06. There were no differences in the utilization of outpatient treatment. Remission rates between the intervention and control groups were not significantly different among patients who used outpatient treatment (63.2% vs. 55.6%), χ²(1) = 0.44, p = .51. A significant difference was found in those who did not utilize such treatment (54.5% vs. 30.3%), χ²(1) = 3.97, p = .046. CONCLUSION: The aftercare intervention was efficacious in enhancing treatment outcome after discharge from inpatient treatment.