Health information-seeking behavior in stroke patients and its relationship with Behavioral decision-making: a latent profile analysis
The identification of three distinct HISB trait types provides an evidence-based foundation for developing personalized health education and tailored decision support interventions. Healthcare professionals can leverage this classification system to customize communication strategies for patients with different traits, deliver tiered information support, and ultimately empower patients to achieve better health behaviors and health outcomes.
Authors
- Mengliu Yang (ORCID: https://orcid.org/0000-0003-1896-0002)
- Xing‐Lei Wang
- Xinman Dou (ORCID: https://orcid.org/0000-0001-5663-721X)
- Juanping Zhong
- Zhangwu Zhao (ORCID: https://orcid.org/0000-0002-3006-7770)
- Jianbo Feng (ORCID: https://orcid.org/0000-0002-0634-9647)
- Weiping Li (ORCID: https://orcid.org/0000-0001-5829-3094)
- Yan Lan
Institutions
- Lanzhou University Second Hospital (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-12-03
- DOI
- https://doi.org/10.3389/fneur.2025.1683198
- Primary Topic
- Health Literacy and Information Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 0.00