SHIELD-Framework: Informal Help-Seeking Barriers in Health Professions Students, 2018-2024
by Annemieke G. J. M. Smeets·Updated 18d ago
1.8 MB3files
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Description
946 students completed a survey and 26 students participated in interviews in a sequential, mixed-methods study conducted at Radboud University Medical Center from 2018 to 2024. The research identified six key barriers to informal help-seeking, forming the SHIELD-framework (Stigma, Harm, Inutility, Ego, Load, Disapproval). Author Annemieke G. J. M. Smeets published the findings under a CC-BY-4.0 license.
Use Cases
Analyzing latent patterns in student help-seeking behavior based on the mixed-format survey design.
Modeling the influence of the SHIELD-framework barriers (Stigma, Harm, Inutility, Ego, Load, Disapproval) on student well-being.
Developing educational interventions to normalize vulnerability based on the identified personal and contextual barriers.
Comparing help-seeking motivations across gender, program, and year of study as described in the findings.
Strengths
Mixed-methods design combining qualitative insights from 26 interviews with quantitative data from 946 survey responses.
Study spans a six-year period with two distinct phases of data collection (2018-2024).
Provides a conceptual framework (SHIELD) derived directly from student-reported barriers.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count for the underlying survey data is unknown, which may limit suitability assessment.
Data is specific to one institution (Radboud University Medical Center), which may limit generalizability.
Provenance
Source
Radboud University Medical Center, the Netherlands
Collection Method
Sequential mixed-methods study involving one-on-one interviews and a survey developed from interview findings.
Time Range
2018-2024
Freshness
Last updated 2026-05-19 08:34:22; freshness should be verified.
Geography
Netherlands
Primary data file is a DOCX document (1.8 MB); analysis may require extraction and structuring of embedded data.