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Intimacy Boundaries: Between Mental Health Nurses & Psychiatric Patients

2005· article· en· W207275122 on OpenAlexaffabout
R. Joan Campbell, Olive Yonge, Wendy Austin

Bibliographic record

VenueJournal of Psychosocial Nursing and Mental Health Services · 2005
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsMisericordia Community HospitalGrey Nuns Community Hospital
Fundersnot available
KeywordsPsychiatrySexual misconductMental healthSexual intercourseMedicineObligationPsychologyNursingClinical psychology

Abstract

fetched live from OpenAlex

This was the first research study in Canada to explore intimacy boundary violations and sexual misconduct between nurses (both RNs and registered psychiatric nurses) and patients. Using a researcher-generated survey, a total of 923 mental health nurses commented on their sexual attraction to patients, and dating and sexual intercourse patterns with patients. The findings indicated that very few nurses had dated or engaged in sexual intercourse with discharged patients, and the few nurses who had done so tended to be younger men prepared at the registered psychiatric nursing diploma level. A small number of nurses believed it was permissible to have a sexual relationship with a patient while the patient was hospitalized, but none reported having a current relationship. Given the severity of this intimacy boundary violation, nurses need to be educated regarding the serious and dangerous psychiatric effects that can result for patients from engaging in a sexual relationship with nurses. The Code of Ethics of the Canadian Nurses Association and nurses' obligation to follow it needs to be reinforced. Nurses engaging in intimacy boundary violations are vulnerable to patient-initiated lawsuits.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.004
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 head0.034
GPT teacher head0.496
Teacher spread0.462 · 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 designNot applicable
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

Citations13
Published2005
Admission routes2
Has abstractyes

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