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Record W3150699884 · doi:10.3389/fpsyg.2021.639781

Compromised Conscience: A Scoping Review of Moral Injury Among Firefighters, Paramedics, and Police Officers

2021· review· en· W3150699884 on OpenAlexafffund
Liana Lentz, Lorraine Smith‐MacDonald, David Cruise Malloy, R. Nicholas Carleton, Suzette Brémault‐Phillips

Bibliographic record

VenueFrontiers in Psychology · 2021
Typereview
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsThe King's UniversityUniversity of AlbertaCanadian Institute for Public Safety Research and TreatmentUniversity of ReginaWestern University
FundersCanadian Institutes of Health Research
KeywordsMoral injuryPsychologyShameBetrayalHarmMEDLINEPoison controlSocial psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: Public Safety Personnel (e.g., firefighters, paramedics, and police officers) are routinely exposed to human suffering and need to make quick, morally challenging decisions. Such decisions can affect their psychological wellbeing. Participating in or observing an event or situation that conflicts with personal values can potentially lead to the development of moral injury. Common stressors associated with moral injury include betrayal, inability to prevent death or harm, and ethical dilemmas. Potentially psychologically traumatic event exposures and post-traumatic stress disorder can be comorbid with moral injury; however, moral injury extends beyond fear to include spiritual, cognitive, emotional or existential struggles, which can produce feelings of severe shame, guilt, and anger. OBJECTIVE: This scoping review was designed to identify the extant empirical research regarding the construct of moral injury, its associated constructs, and how it relates to moral distress in firefighters, paramedics, and police officers. METHODS: A systematic literature search of peer-reviewed research was conducted using databases MEDLINE, EMBASE, APA PsychInfo, CINHAL PLUS, Web of Science, SCOPUS, and Google Scholar. Included studies were selected based on the inclusion criteria before being manually extracted and independently screened by two reviewers. RESULTS: The initial database search returned 777 articles, 506 of which remained after removal of duplicates. Following review of titles, abstracts, and full texts, 32 studies were included in the current review. Participants in the articles were primarily police officers, with fewer articles focusing on paramedics and firefighters. There were two studies that included mixed populations (i.e., one study with police officers, firefighters, and other emergency service workers; one study with paramedic and firefighter incident commanders). Most studies were qualitative and focused on four topics: values, ethical decision-making, organizational betrayal, and spirituality. CONCLUSION: Public safety organizations appear to recognize the experience of moral distress or moral injury among public safety personnel that results from disconnects between personal core values, formal and informal organizational values, vocational duties, and expectations. Further research is needed to better understand moral distress or moral injury specific to public safety personnel and inform training and treatment in support of public safety personnel mental health.

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)0.012
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.064
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0240.021
Science and technology studies0.0020.002
Scholarly communication0.0050.004
Open science0.0030.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.118
GPT teacher head0.485
Teacher spread0.367 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations129
Published2021
Admission routes2
Has abstractyes

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