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Dataset Information

Suicide warning signs of self-identification in patients with mood disorders: a qualitative analysis based on safety planning.


ABSTRACT:

Introduction

Warning signs serve as proximal indicators of suicide risk, making early recognition imperative for effective prevention strategies. This study aimed to explore self-identified suicide warning signs among Chinese patients with mood disorders based on safety planning framework.

Methods

Researchers collaborated with patients to develop a safety plan and compiled warning signs based on it. Word frequency and network analysis were conducted to identify key warning signs. Directed content analysis categorized these signs into cognitive, emotional, behavioral, or physiological themes according to the suicide mode theory. Additionally, we examined potential variations in reported warning signs among participants with different demographic characteristics, including age

SUBMITTER: Zhang H 

PROVIDER: S-EPMC11372480 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature