# Textual analysis in suicidal crisis management. Clinical case report and proposal of an intervention methodology

## TL;DR

This paper explores how textual analysis can help manage suicidal crises by examining personal narratives and improving clinical interventions.

## Contribution

The paper introduces MADIT, a textual analysis methodology for identifying suicidal intent and guiding crisis interventions.

## Key findings

- Textual analysis helped identify linguistic markers of suicidal intent in a high-risk case.
- The MADIT methodology supported therapeutic dialogue and clinical decision-making during the crisis.
- Narrative processes were key in designing and evaluating an effective intervention strategy.

## Abstract

Socioeconomic crises can deeply affect personal narratives and community dynamics, sometimes leading to acute mental health emergencies such as suicidal crises. These situations require structured interventions. Textual analysis, by addressing interactive and narrative dimensions, offers a valuable framework for crisis management and health promotion. This case report describes an individual whose economic and employment instability escalated into an acute suicidal emergency, marked by high and imminent risk, loss of agency, dependence on others, and intensifying suicidal ideation. The intervention employed the MADIT (Methodology of Computerized Analysis of Textual Data), using textual analysis to identify linguistic markers of suicidal intent, guide therapeutic dialog, and support clinical decision-making. The case outlines the user’s texts, the professional’s analysis of underlying narratives, ongoing and final assessments, and the therapeutic measures applied. It also includes the professional’s self-reflection on their engagement with the patient. Examining narrative processes enabled the design, monitoring, and evaluation of an effective intervention strategy. This approach values both the patient’s expressed content and the interactive process through which meaning is constructed in the therapeutic relationship, contributing to more effective crisis management. The case highlights the potential of textual analysis-based methodologies in managing suicidal emergencies, enhancing assessment accuracy, strengthening intervention, and promoting individual health and social cohesion. Overall, this structured yet flexible framework supports anticipation, monitoring, and management of biographical developments within emergency clinical contexts.