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Record W4313309320 · doi:10.25071/2291-5796.137

Health Inequities and Moral Distress Among Community Health Nurses During the COVID-19 Pandemic

2022· article· en· W4313309320 on OpenAlex
Catherine Baxter, Ruth Schofield, Claire Betker, Genevieve Currie, Françoise Filion, Patti Gauley, May Lin Tao, Mary-Ann Taylor

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWitness The Canadian Journal of Critical Nursing Discourse · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsMcGill UniversityMount Royal UniversityMcMaster UniversityVancouver Coastal HealthToronto Public HealthBrandon University
Fundersnot available
KeywordsPandemicHealth equityPsychological interventionEquity (law)Social determinants of healthPsychologyCoronavirus disease 2019 (COVID-19)Health promotionDistressMedicineNursingPublic healthPolitical sciencePsychiatryClinical psychologyDisease

Abstract

fetched live from OpenAlex

The core values of community health nursing practice are rooted in the social determinants of health, health equity and social justice. Throughout the COVID-19 pandemic, community health nurses (CHNs) witnessed first-hand the impact on individuals in situations of marginalization. This research inquiry explored how health inequities among client populations contributed to experiences of MD among CHNs in Canada during the pandemic. A total of 245 CHNs from across Canada participated in an online survey. Participants reported that during the pandemic individuals living in situations of marginalization were disproportionately impacted. CHNs were unable to provide the necessary health promotion interventions and experienced high levels of moral distress. The negative impact of the pandemic on individuals living in situations of marginalization illuminated the intersecting social and structural inequities that drive negative health outcomes and emphasized the need to adopt an equity focus for current and future pandemic planning, response, and recovery.

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)0.018
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.515
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0300.014
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.014
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 head0.144
GPT teacher head0.516
Teacher spread0.372 · 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