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Record W4205731426 · doi:10.1111/epi.17133

Epilepsy‐related stigma and attitudes: Systematic review of screening instruments and interventions ‐ Report by the International League Against Epilepsy Task Force on Stigma in Epilepsy

2022· review· en· W4205731426 on OpenAlexafffund
Joan K. Austin, Gretchen L. Birbeck, Karen Parko, Churl‐Su Kwon, Paula Teixeira Fernandes, Patrícia Braga, Kirsten M. Fiest, Amza Ali, J. Helen Cross, Hanneke de Boer, Tarun Dua, Sheryl R. Haut, Ann Jacoby, Diane Lorenzetti, Janet Mifsud, Solomon L. Moshé, Manjari Tripathi, Samuel Wiebe, Nathalie Jetté

Bibliographic record

VenueEpilepsia · 2022
Typereview
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversity of Calgary
FundersGreat Ormond Street Hospital for ChildrenUniversity College LondonNational Institute for Health and Care ResearchNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchCumming School of Medicine, University of CalgaryUniversity of CalgaryWorld Health Organization
KeywordsPsychological interventionStigma (botany)PsychologySystematic reviewEpilepsyIntervention (counseling)Clinical psychologySocial stigmaMEDLINEMedicinePsychiatryFamily medicineHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

OBJECTIVE: This is a systematic review aimed at summarizing the evidence related to instruments that have been developed to measure stigma or attitudes toward epilepsy and on stigma-reducing interventions. METHODS: This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards. A broad literature search (1985-2019) was performed in 13 databases. Articles were included if they described the development and testing of psychometric properties of an epilepsy-related stigma or attitude scale or stigma-reducing interventions. Two reviewers independently screened abstracts, reviewed full-text articles, and extracted data. Basic descriptive statistics are reported. RESULTS: We identified 4234 abstracts, of which 893 were reviewed as full-text articles. Of these, 38 met inclusion criteria for an instrument development study and 30 as a stigma-reduction intervention study. Most instruments were initially developed using well-established methods and were tested in relatively large samples. Most intervention studies involved educational programs for adults with pre- and post-evaluations of attitudes toward people with epilepsy. Intervention studies often failed to use standardized instruments to quantify stigmatizing attitudes, were generally underpowered, and often found no evidence of benefit or the benefit was not sustained. Six intervention studies with stigma as the primary outcome had fewer design flaws and showed benefit. Very few or no instruments were validated for regional languages or culture, and there were very few interventions tested in some regions. SIGNIFICANCE: Investigators in regions without instruments should consider translating and further developing existing instruments rather than initiating the development of new instruments. Very few stigma-reduction intervention studies for epilepsy have been conducted, study methodology in general was poor, and standardized instruments were rarely used to measure outcomes. To accelerate the development of effective epilepsy stigma-reduction interventions, a paradigm shift from disease-specific, siloed trials to collaborative, cross-disciplinary platforms based upon unified theories of stigma transcending individual conditions will be needed.

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 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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.179
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.370
Teacher spread0.314 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations46
Published2022
Admission routes2
Has abstractyes

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