Article

Leveraging Digitization, Archiving and Artificial Intelligence to Re-examine Predictors of Sustained Mental Health Care Engagement in Ugandan First-Episode Psychosis Patients: A Study Protocol

2026-06-03

Abstract excerpt

<h4>Background</h4> We previously examined the burden and predictors of sustained mental health care engagement in Ugandan first episode psychosis patients by retrospective chart review methods. However, the extensive requirements of chart reviews meant that we could only extract data from a random 10% sample of 1,677 newly enrolled Ugandan first episode psychosis patients at Butabika National Referral Mental Hos...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 93168179-bc06-52b0-a4a8-16854c1804a8
DOI: 10.64898/2026.06.02.26354672

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Leveraging Digitization, Archiving and Artificial Intelligence to Re-examine Predictors of Sustained Mental Health Care Engagement in Ugandan First-Episode Psychosis Patients: A Study ProtocolDOI 10.64898/2026.06.02.26354672Read

Digitising HIV Testing Registers to Support National Scale-Up of Three-Test HIV Diagnostic Algorithm: A Case Study of an AI-Powered Monitoring and Evaluation System in MalawiSemantic proximity Read

Patient and caregiver lived experiences and mental health service engagement during first-episode psychosis in Uganda: a longitudinal mixed-methods study protocolSemantic proximity Read

SBDH-Reader: an LLM-powered method for extracting social and behavioral determinants of health from clinical notesSemantic proximity Read

Automated de-identification of linguistically-diverse clinical narratives: a retrospective, multi-agent AI framework development and validation study in a global health surveillance networkSemantic proximity Read

Unpacking Unstructured Data: A Pilot Study on Extracting Insights from Neuropathological Reports of Parkinson’s Disease Patients using Large Language ModelsSemantic proximity Read

Identifying the Presence and Timing of Self-harm in Electronic Mental Health Records Using Privacy-Preserving Local Language Models: Methodological StudySemantic proximity Read

A Local Outpatient Practice-Level Prediction Model for Short-Term Psychiatric Emergency PresentationSemantic proximity Read

Robust Application of Supervised Machine Learning Techniques for Cause of Death Determination from Verbal AutopsiesSemantic proximity Read

Detection of Suicidality Through Privacy-Preserving Large Language ModelsSemantic proximity Read

Evaluating Large Language Models for Assessment of Psychosis RiskSemantic proximity Read

Development and Evaluation of Machine Learning Models to Predict Mechanical Restraint and Related Coercive Measures in Hospital PsychiatrySemantic proximity Read

Patient Deduplication in Uganda’s Electronic Medical Records System: A comparison of Three Classification AlgorithmsSemantic proximity Read