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Project Title: Initial Development of Tools to Identify Disengagement from Treatment Following Suicide‑Related Encounters Project Awardee: Marin Kautz This dataset is derived from the OCHIN Community Health Database – AIM‑AHEAD Year 4 and implemented as a set of views. It includes pediatric and adult patients with suicide‑related outpatient, ambulatory, or telehealth encounters occurring between 2015 and 2024, including encounters associated with suicidal ideation, self‑harm, or mental health diagnoses, to support modeling of treatment engagement and disengagement following acute clinical events. The dataset includes patient demographics (sex, age, race, ethnicity, language, payer, federal poverty level, ZIP/ZCTA, homelessness status, and marital status), visit‑level data, provider and care site characteristics, vital signs, condition diagnoses related to mental and behavioral health, medication and procedure data associated with suicide‑related care, mortality indicators, and patient screening data capturing behavioral and contextual factors relevant to follow‑up engagement. If you are interested in learning more about this dataset and understanding access requirements, we recommend you reach out to the named Project Awardee and/or OCHIN at AI‑DataConsult[at]ochin.org.