MétaCan
Menu
Back to cohort
Record W3183762907 · doi:10.1111/jpm.12791

Engaging in resuscitation status conversations in psychiatry: A qualitative study of nurses’ perspectives

2021· article· en· W3183762907 on OpenAlexaff
Olivia Provencal Levesque, Amanda Vandyk, Brandi Vanderspank‐Wright, Mark Kaluzienski, Jean Daniel Jacob

Bibliographic record

VenueJournal of Psychiatric and Mental Health Nursing · 2021
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsResuscitationMedicineQualitative researchContext (archaeology)NursingMental healthPsychiatryPsychologyEmergency medicine

Abstract

fetched live from OpenAlex

WHAT IS KNOWN ON THE SUBJECT?: Discussion and documentation of a patient's resuscitation status are essential aspects of any hospital admission, and yet, they seldomly occur in psychiatry. Nurses play an important role in resuscitation status determination by being an information broker, supporter and advocate. Persons with mental illness may be competent to engage in the determination of their resuscitation status and deserve the same respect and autonomy as other patients during this process. There are no published qualitative studies exploring healthcare providers experiences in initiating resuscitation status conversations in the psychiatric setting. WHAT DOES THIS PAPER ADD TO EXISTING KNOWLEDGE?: An in-depth qualitative understanding of the complexity of resuscitation status determination in psychiatry. The shared experiences of nurses enacting their role in resuscitation status determination with patients admitted to psychiatry. The challenges of implementing a 'one-size fits all' approach to resuscitation status policies, and the ways in which depression and/or suicidal ideation influence the process. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Role clarity and improved communication between providers about resuscitation status determination in psychiatry are needed. Hospital policies for resuscitation status determination must account for the psychiatric context to ensure patients' goals of care are known and upheld. Nurses working in psychiatry should initiate and more readily engage in resuscitation status conversations. ABSTRACT: Introduction Patients with mental illness experience stigma and marginalization, which affects the quality of their health care. In most settings, end-of-life decisions, including goals of care, must be discussed with all patients upon hospital admission, including determining cardiopulmonary resuscitation preferences in the event of a medical emergency. Despite this requirement, these conversations do not routinely occur in inpatient psychiatry. By default, patients become a 'full code status', mandating life-sustaining interventions. Aim To explore how and why resuscitation status conversations occur, or do not occur, in inpatient psychiatry from the perspectives of healthcare providers. Method Qualitative descriptive study using focus groups with nurses working in psychiatry. Results Nurses' experiences with initiating and engaging in resuscitation status conversations related to Working in Psychiatry, which represents the current practices and the participants' views of the nursing role; Caring for Psychiatric Patients, which describes how fluctuating competency and suicidality influence determination; and The Influence of Physical Health Status, which details how differences in physical health status affect how healthcare providers engage in resuscitation status determination. Discussion Although the importance of completing resuscitation status conversations with patients admitted to psychiatry was expressed by participants, they seldomly occur. There is ambiguity about when and how to determine patient wishes. Implications for practice Tailored strategies are needed to ensure patients' rights to self-determination are upheld when they are admitted to psychiatry. Nurses working in this setting would benefit from education, training and support to adequately initiate and engage in these conversations.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.475
Teacher spread0.439 · 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.

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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Psychiatric and Mental Health NursingSame topicHealthcare Decision-Making and RestraintsFrench-language works237,207