DiscoverLight Up The CouchDetecting Dropout Danger: Data-Driven Ways to Keep Clients Engaged and Reaching Goals, Ep. 256
Detecting Dropout Danger: Data-Driven Ways to Keep Clients Engaged and Reaching Goals, Ep. 256

Detecting Dropout Danger: Data-Driven Ways to Keep Clients Engaged and Reaching Goals, Ep. 256

Update: 2025-10-29
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Dr. Keith Klostermann, LMFT, MHC, shares practical, evidence-based ways to use early feedback data to spot dropout risk, repair ruptures before clients vanish, and foster lasting engagement and progress. Interview with Elizabeth Irias, LMFT.

Quick Note: You may notice a little clicking in Beth’s audio during this episode — turns out her microphone needed replacing, which she discovered after recording. Our apologies for the sound quality; this conversation with Dr. Keith Klostermann was too insightful not to share. Thanks so much for your understanding and support! We’re not audio engineers… we’re therapists, and we’re grateful you’re listening.

Earn CE credit for listening to this episode by joining our low-cost membership for unlimited podcast CE credits for an entire year, with some of the strongest CE approvals in the country (APA, NBCC, ASWB, and more). Learn, grow, and shine with Clearly Clinical Continuing Ed by visiting https://ClearlyClinical.com.
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Detecting Dropout Danger: Data-Driven Ways to Keep Clients Engaged and Reaching Goals, Ep. 256

Detecting Dropout Danger: Data-Driven Ways to Keep Clients Engaged and Reaching Goals, Ep. 256

John Irias