A Digitally Enabled Physician-Counselor Model for Complex Trauma in Ethiopia: Measurement-Based Outcomes in a Low-Disclosure, High-Risk Female Cohort

This study reports measurement-based clinical outcomes from a digitally enabled, psychiatrist-supervised physician-counselor care model (the AYA-Model) serving the complete clinical population of a residential rehabilitation center in Addis Ababa, Ethiopia — 3,617 women admitted for extreme poverty, histories of street-based sex work, and chronic unemployability, enrolled across five intake waves (2024–2025). Physicians trained as mental health and substance-use counselors delivered trauma-informed CBT, motivational interviewing, substance-use treatment, psychiatric medication, and psychoeducation under licensed psychiatrist supervision, with all care captured on a structured digital measurement platform. In this pragmatic, whole-population, repeated-measures design, baseline-elevated clients showed median first-to-last reductions of 11.5 points (PHQ-9), 10.0 (GAD-7), 5.0 (SDS), and 2.0 (CAGE), all p<0.001, and 98.4% of clients flagged for suicide risk at first screen were no longer flagged at last. Critically, a pre-specified between-group comparison found that clients with a low-disclosure, high-risk profile — 79.2% of all high-risk clients, the presentations conventionally regarded as least treatment-ready — showed no evidence of inferior benefit relative to conventionally detected clients. The findings challenge the assumption that disclosure and acknowledged readiness are preconditions of therapeutic benefit, and demonstrate a workforce model for moderate-to-severe presentations in settings where psychiatrists are scarce. Yared Alemu and Patrick Ohiomoba contributed equally and are joint first authors. This is the authors' preprint of a manuscript in press at npj Digital Medicine.