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Record W2768752557 · doi:10.1097/ncm.0000000000000264

Case Managers on the Front Lines of Ethical Dilemmas

2017· article· en· W2768752557 on OpenAlexaff
Charlotte Sortedahl, Nina Mottern, Vivian Campagna

Bibliographic record

VenueProfessional Case Management · 2017
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsNational Capital Commission123 Certification (Canada)
Fundersnot available
KeywordsFront (military)BusinessPsychologyEngineering

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this article is to examine how case managers are routinely confronted by ethical dilemmas within a fragmented health care system and given the reality of financial pressures that influence life-changing decisions. The Code of Professional Conduct for Case Managers (Code), published by the Commission for Case Manager Certification, acknowledges "case managers may often confront ethical dilemmas" (Code 1996, Rev. 2015). PRIMARY PRACTICE SETTINGS: The Code and expectations that professional case managers, particularly those who are board certified, will uphold ethical and legal practice apply to case managers in every practice setting across the full continuum of health care. IMPLEMENTATIONS FOR CASE MANAGEMENT PRACTICE: This discussion acknowledges the ethical dilemmas that case managers routinely confront, which empowers them to seek support, guidance, and resources to support ethical practice. In addition, the article seeks to raise awareness of the effects of burnout and moral distress on case managers and others with whom they work closely on interdisciplinary teams.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.068
metaresearch head score (Gemma)0.188
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.068
Threshold uncertainty score0.358

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.188
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0190.037
Scholarly communication0.0170.015
Open science0.0040.019
Research integrity0.0100.023
Insufficient payload (model declined to judge)0.0100.002

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 head0.092
GPT teacher head0.475
Teacher spread0.384 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2017
Admission routes1
Has abstractyes

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