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Record W4391167472 · doi:10.21203/rs.3.rs-3879837/v1

Mental Health Literacy and Information Needs of Young Persons with Psychosis and their Support Persons

2024· preprint· en· W4391167472 on OpenAlexafffundabout
Colleen Murphy, Madison P. Hardman, Kristin Reynolds, Natalie Mota

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Manitoba
FundersWinnipeg Foundation
KeywordsPsychosisMental healthMental health literacyPsychologyPsychiatryHealth literacyLiteracyClinical psychologyPolitical scienceMental illnessHealth carePedagogy

Abstract

fetched live from OpenAlex

Abstract Background First episode psychosis can significantly impact both young people and their loved ones who provide support. Recognizing that a young person is experiencing psychosis can be a crucial first step in accessing appropriate services. Higher mental health literacy may facilitate improved symptom recognition and reduce the stigma associated with psychosis. The aim of this research was to evaluate the mental health literacy and information needs of young people experiencing early-onset psychosis and of their loved ones who provide support. Methods Participants were recruited from an early psychosis clinic in Central Canada. A total of 57 service users and 43 support persons participated (N = 100) from December 2021 to February 2023. Data were collected through an online mixed-methods survey. Linear and logistic regressions were conducted to determine whether higher mental health literacy predicted improved outcomes among both groups (e.g., treatment satisfaction, psychiatric hospital admissions, use of crisis services). Linear regressions examined whether longer treatment predicted higher mental health literacy and lower information needs. Participants identified specific information needs and preferences through two open-ended questions, which were analyzed using Reflexive Thematic Analysis. Results Higher mental health literacy significantly predicted higher treatment satisfaction among service users and support persons, and lower stress levels among service users. Longer involvement in the treatment service significantly predicted greater willingness to seek information about psychosis from a pre-determined list of sources, including family, friends, and mental health clinicians. Both service users and support persons predominately had a moderate to good understanding of psychosis and did not endorse stigmatizing beliefs about psychosis. Both groups had a broad range of information preferences. Participants identified additional information needs related to the themes: Psychosis: Diagnosis and Recovery, Treatment, and Healthy Functioning; and preferred to learn content through Reliable Sources, Group Programming, and Peer Support. Conclusions Findings highlight the important role that mental health literacy can play in treatment satisfaction for both young persons experiencing psychosis and their support persons, and provide a better understanding of information needs and preferences of these groups. These findings have implications for both psychoeducation and treatment planning.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.390
Teacher spread0.357 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes3
Has abstractyes

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