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Record W2784417842 · doi:10.1177/1049732317753585

Navigating the Dangerous Terrain of Moral Distress: Understanding Response Patterns in the NICU

2018· article· en· W2784417842 on OpenAlexaff
Sally Thorne, Laura Konikoff, Helen Brown, Susan Albersheim

Bibliographic record

VenueQualitative Health Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsBC Children's HospitalChildren's & Women's Health Centre of British ColumbiaUniversity of British Columbia
Fundersnot available
KeywordsDistressContext (archaeology)PsychologyNeonatal intensive care unitHealth careNursingSocial psychologyMedicinePsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Moral distress is a well-recognized and ubiquitous aspect of health care professional practice in the neonatal intensive care unit (NICU) context. We used interpretive description methodology to guide a critical exploration of the dynamics of moral distress experience as reflected in the accounts of 28 health care professionals working in this setting. We learned about the kinds of clinical scenarios which triggered distressing experiences, and that the organizational and relational context of clinical work constituted a complex and dynamic working environment that profoundly affected both the individual and the collective experiences with moral distress in these situations. These findings shed light on possibilities for supporting NICU practitioners and developing the collaborative team cultures that may reduce the risk of unresolved effects of moral distress to the benefit of patients as well as the professionals who care for them.

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)0.276
metaresearch head score (Gemma)0.100
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2760.100
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.003
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 head0.812
GPT teacher head0.744
Teacher spread0.068 · 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; both teacher heads agree on what is shown here.

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

Citations49
Published2018
Admission routes1
Has abstractyes

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