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Record W4313335039 · doi:10.2196/39675

Statewide Assessment of North Carolina Nurse Practitioners' Knowledge of and Attitudes Toward Suicide Awareness and Prevention: Protocol for a Statewide Mixed Methods Study

2022· article· en· W4313335039 on OpenAlexvenueno aff
Charlene Whitaker‐Brown, Judith B. Cornelius, Jaleesa Smoot, Anjala Khadka, Arundhati Patil

Bibliographic record

VenueJMIR Research Protocols · 2022
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
FundersNational Institute of Mental HealthUniversity of North Carolina at Charlotte
KeywordsMedicinePublic healthSuicide preventionNursingEthnic groupFamily medicineProtocol (science)Poison controlPsychologyMedical emergencyAlternative medicinePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Suicide is a major public health problem, which affects people of all ages and ethnicities. Despite being preventable, the rates of suicide have steadily climbed (more than a third) over the past 2 decades. OBJECTIVE: Nurse practitioners (NPs) must be responsible for recognizing suicide risk and providing appropriate treatment referrals in addition to having an important role in suicide prevention. The reasons why NPs may not pursue suicide prevention training are their lack of suicide awareness and prevention, limited experiences with suicidal patients, and the stigma associated with mental illness. Before we begin to address the gaps within suicide awareness and prevention skills, we need to first examine NPs' knowledge of and attitudes (stigma) toward suicide prevention. METHODS: This study will comprise a mixed methods approach. First, quantitative data will be collected using the Suicide Knowledge and Skills Questionnaireand the Suicide Stigma Scale (Brief version) questionnaire. An email will be sent to the NPs explaining the purpose of the study. If they consent, they will click on a link to access the surveys on a secure site. In our previous research with this sample, email reminders to nonresponders after 2 and 4 weeks were sent. The quantitative component will be used to inform the qualitative interviews of this study. The Suicide Knowledge and Skills Questionnaire is a 13-item questionnaire comprising 2 subscales: suicide knowledge and suicide skills. All questions are rated on a 5-point Likert scale (1=completely disagree to 5=completely agree). The survey has been shown to differentiate between those with suicide training and those without and has a Cronbach α score of .84. The Suicide Stigma Scale (Brief version) is a 16-item survey that assesses stigma regarding suicide. The items are measured on a 5-point Likert scale (1: strongly disagree to 5: strongly agree) and have a Cronbach α of .98. RESULTS: This study was funded by the Faculty Research Grants program through the Office of the Vice Chancellor for Research and Economic Development at the University of North Carolina at Charlotte. Institutional review board approval was obtained in April 2022. Recruitment occurred between summer and winter 2022. Interview conduction began in December 2022 and will conclude in March 2023. Data will be analyzed during spring and summer 2023. CONCLUSIONS: The study results will add to the literature on NPs' knowledge of and attitudes (stigma) toward suicide prevention. It represents a first step in addressing gaps within suicide awareness and prevention skills, among NPs in their respective practice settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/39675.

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)0.044
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.044
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.025
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0040.005
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0390.006

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 head0.408
GPT teacher head0.672
Teacher spread0.264 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations1
Published2022
Admission routes1
Has abstractyes

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