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Record W2256764015 · doi:10.1136/bmjopen-2015-009690

Development of skills-based competencies for forensic nurse examiners providing elder abuse care

2016· article· en· W2256764015 on OpenAlex
Janice Du Mont, Daisy Kosa, Sheila Macdonald, Shannon Elliot, Mark J. Yaffe⃰

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.

Bibliographic record

VenueBMJ Open · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsMcGill UniversityWomen's College HospitalOntario HIV Treatment NetworkSt Mary's Hospital CentrePublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicineElder abuseNursingForensic scienceMedical educationFamily medicineSuicide preventionPoison controlMedical emergency

Abstract

fetched live from OpenAlex

OBJECTIVE: As a critical step in advancing a comprehensive response to elder abuse built on existing forensic nursing-led hospital-based programmes, we developed a list of skills-based competencies for use in an Elder Abuse Nurse Examiner curriculum. PARTICIPANTS AND SETTING: Programme leaders of 30 hospital-based forensic nursing-led sexual assault and domestic violence treatment centres. PRIMARY AND SECONDARY OUTCOME MEASURES: 149 verbatim recommendations for components of an elder abuse response were identified from a systematic scoping review. In 2 online Delphi consensus survey rounds, these components of care were evaluated by an expert panel for their overall importance to the elder abuse intervention under development and for their appropriateness to the scope of practice of an elder abuse nurse examiner. The components retained after evaluation were translated into skills-based competencies using Bloom's Taxonomy of Learning and, using the Nominal Group Technique, were subsequently reviewed and revised by a subset of members of the expert panel in a consensus meeting. RESULTS: Of the 148 recommendations evaluated, 119 were rated as important and achieved consensus or high level of agreement. Of these, 101 were determined to be within the scope of practice of an Elder Abuse Nurse Examiner and were translated into skills-based competencies. Following review and revision by meeting experts, 47 final competencies were organised by content into 5 metacompetencies: documentation, legal and legislative issues; interview with older adult, caregiver and other relevant contacts; assessment; medical and forensic examination; and case summary, discharge plan and follow-up care. CONCLUSIONS: We determined the skills-based competencies of importance to training forensic nurse examiners to respond to elder abuse in the context of a hospital-based intervention. These findings may have implications for violence and abuse treatment programmes with a forensic nursing component that are considering the provision of a dedicated response to the abuse of older women and men.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.079
GPT teacher head0.403
Teacher spread0.324 · 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