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Record W4402217287 · doi:10.1016/j.chb.2024.108434

eHealth literacy and digital health interventions: Key ingredients for supporting the mental health of displaced youth living in the urban slums of kampala, Uganda

2024· article· en· W4402217287 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueComputers in Human Behavior · 2024
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsDalhousie UniversityUnited Nations University Institute for Water, Environment, and HealthUniversity of Toronto
FundersCanadian Institutes of Health ResearchOntario Ministry of Research, Innovation and ScienceCanada Foundation for Innovation
KeywordseHealthPsychological interventionMental healthLiteracyDigital healthHealth literacyMental health literacyPsychologyEnvironmental healthGerontologyMedicinePolitical sciencePsychiatryHealth carePedagogyMental illness

Abstract

fetched live from OpenAlex

During and after displacement, many displaced youth face increased vulnerability to poor mental health and can encounter inaccurate or confusing health information. Digital tools create new opportunities to reach more of these youth with mental health interventions. Yet maximizing these tools' effectiveness among displaced youth requires understanding their eHealth literacy (eHEALS; i.e., the ability to find, understand, and appraise health information from electronic sources and apply this knowledge to a health problem). Thus, we conducted a community-based cross-sectional survey of 445 displaced youth (16–24 years) living in the slums of Kampala, Uganda to measure their eHEALS and its association with psychosocial wellbeing. Exploratory and confirmatory factor analysis identified a unidimensional measure of eHEALS. Structural equation modeling results indicated that eHEALS was not directly associated with depressive symptoms (β = .08, p = 0.15), but was significantly positively associated with resilience (β = .32, p < 0.001). Resilience was, in turn, significantly negatively associated with depressive symptoms (β = −.21, p < 0.001). The Sobel test for indirect effects confirmed that eHEALS indirectly negatively affected depressive symptoms through resilience (i.e., β indirect effect = −.07, p = 0.004). Our findings highlight the need for interventionists to develop contextualized eHealth interventions that facilitate displaced youth's ability to access, understand, and use health information to the best of their ability and optimally benefit from services. • Exploratory and confirmatory factor analysis identified a unidimensional measure of eHealth literacy scale (eHEALS). • EHEALS was not directly associated with depressive symptoms but positively associated with resilience. • Resilience plays the role of a full mediator in the relationship between eHEALS and depressive symptoms. • The indirect effect of eHEALS on depression through resilience was stronger among young adults than among adolescents. • Mental health information, and support delivered through digital tools could advance mental health with displaced youth.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.410
Teacher spread0.366 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it