This study aimed to: (1) pilot a psychotherapy coding system for provider responses to emergent life events (ELEs; unexpected events that have a significant negative impact on the client), (2) examine the impact of ELEs on evidence-based treatment (EBT) delivery in community settings. Raters coded 30 randomly-sampled EBT session recordings with and without reported ELEs. Inter-rater reliability and validity for the system were generally high. When an ELE occurred, providers were significantly less likely to deliver the EBT, and when they did, they rarely linked the EBT to the event. Findings highlight the potential for ELEs to disrupt EBT implementation.

Emergent life events (ELEs), or acute client stressors disclosed within psychotherapy sessions, are not addressed by many evidence-based psychosocial treatments (EBTs). Preliminary provider-report studies suggest that ELEs may interfere with effective EBT implementation. The present study offers a detailed, observational examination of ELEs and their impact on EBT within therapy sessions. Data were observationally coded from 274 sessions with 55 primarily low-income, Latino youth clients (58% male, ages 5-15) in the modular EBT condition (Modular Approach to Therapy for Children [MATCH]) of the Child STEPs California trial. The ELE Coding System-Revised was used to measure ELEs, their characteristics, and provider responses to ELEs, including provider adherence to MATCH. Interrater reliability was generally high. At least one ELE was identified in 13% of randomly selected sessions. ELEs ranged widely in content, and their characteristics did not cluster together. Providers responded more frequently to ELEs with non-EBT content (e.g., information gathering, empathy) than EBT content; use of the ELE as a "teaching moment" for EBT content was the least common response (40% of ELEs). Multilevel regression analyses revealed that compared to sessions without an ELE, ELE sessions were significantly associated with reduced provider adherence to MATCH. Within ELE sessions, higher client distress when discussing the ELE was associated with reduced provider adherence to MATCH, but only when ELE severity was high. Beyond provider report, observational measures indicate that ELEs are prevalent and unpredictable in community settings and disrupt EBT delivery. Findings can inform the development of structured ELE management procedures to enhance existing EBTs.

Measurement feedback systems (MFSs) can help improve clinical outcomes by enhancing clinical decision-making. Unfortunately, limited information exists to guide the use and interpretation of data from MFSs. This study examined the amount of data that would provide a reasonable and reliable prediction of a client's rate of symptomatology in order to help inform clinical decisionmaking processes. Results showed that use of more data predicted greater levels of accuracy. However, there were diminishing returns on the ability for additional data to improve predictive accuracy. Findings inform efforts to develop guidelines on the interpretation of data from MFSs.

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