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Record W4399019784 · doi:10.32799/ijih.v19i1.42574

CPR RACISM: A Guide for Health Care Providers to Safely Address Racism in a Health Care Setting

2024· article· en· W4399019784 on OpenAlexvenueaboutno aff
Holly Graham

Bibliographic record

VenueInternational Journal of Indigenous Health · 2024
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsRacismHealth careMedicineNursingPsychologyCriminologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Racism is a form of violence that results in poorer health outcomes for First Nation, Métis, and Inuit (FNMI) Peoples and is a barrier toward achieving equitable healthcare. There is growing recognition that FNMI Peoples experience racism in health care and with the highly publicized deaths of Brian Sinclair and more recently the death of Joyce Echaquan in Canada, there has been an outcry to end racism in health care. With the growing numbers of nurses and nursing students learning about the impact of racism on health outcomes there is a need for a concrete, practical, and visual guide to assist with teaching an intervention for when racism is witnessed. As part of creating and supporting a speak-up culture to address unsafe care related to racism in health care, the writer offers the following guide - CPR RACISM. Health care providers are all familiar with cardiopulmonary resuscitation (CPR), capable of saving a life during cardiac arrest — when the heart stops beating or is unable to effectively circulate blood to the brain and other vital organs. CPR instructors advocate for everyone to be prepared for moments that matter by taking a CPR class to help save a life. Similarly, there needs to be a plan to save lives lost related to racism. The writer selected the name of this guide, CPR RACISM, as a way to underscore the urgency to address racism in health care as FNMI Peoples’ lives are at risk. Just as CPR is meant to be a set of actions to save lives when the heart stops beating, CPR RACISM is a guide to prepare healthcare providers to save lives when they witness racism in healthcare. The CPR RACISM guide was created in response to the common questions the writer has heard from nursing students and colleagues: Where do I begin? How can I address racism in healthcare? How do I teach my nursing students to effectively intervene when they witness racism? To address this gap in praxis, the writer suggests CPR RACISM as an additional resource to disrupt and dismantle racism in health care. Key Words: racism, health care, advocating, teaching, equity, Indigenous, First Nation, Métis, Inuit, Aboriginal, intervening.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.027
GPT teacher head0.414
Teacher spread0.388 · 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 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

Citations4
Published2024
Admission routes2
Has abstractyes

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