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Enregistrement W6925305633 · doi:10.17605/osf.io/hza7p

The psychological impact of moral decision making during COVID-19.

2020· other· en· W6925305633 sur OpenAlexaboutno aff

Notice bibliographique

RevueOpen Science Framework · 2020
Typeother
Langueen
DomaineNeuroscience
ThématiqueNeuroethics, Human Enhancement, Biomedical Innovations
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSituational ethicsStressorMoral disengagementMoral injuryDistressMoral characterDutyMoral responsibility

Résumé

récupéré en direct d'OpenAlex

The objectives of the current study are to examine traits and situational factors that lead some individuals to experience distress as a result of the moral stressors faced during the current COVID-19 pandemic. There are two goals for this project. Objective 1: Given that many individuals are currently experiencing heightened moral stressors as a result of COVID-19, our first goal is to examine the degree to which individuals are currently experiencing moral distress from such experiences during the COVID-19 pandemic. Objective 2: The second goal of this study is to examine predictors of distress arising from these potentially morally injurious experiences. Specifically we want to examine if mental health outcomes (i.e., depression and PTSD) are predicted by a) self-reported tendencies to experience guilt, shame, anger, anxiety, religiosity, and sense of duty and b) the degree of exposure to COVID-related moral stressors and current distress arising from these moral stressors. This research will be important in understanding the degree to which moral injury could potentially be experienced in the general population, as to date it has mostly been studied in the military context, and to develop a better understanding of the causes and consequences of experiencing moral stressors. During the current COVID-19 pandemic many individuals will face difficult moral decisions. Individuals must choose whether or not to social distance and/or to self-isolate; policy makers must choose between forcing businesses to shut down and causing economic hardship or limiting the spread of the pandemic virus, business owners may have to make decisions about which employees to keep and which ones to let go, physicians may have to make the difficult decision as to which patient receives a ventilator or which patients do not. In many of these situations, these decisions and associated outcomes may be ambiguous and morally challenging. Such decisions have been highlighted in the media, from public outrage at snowbirds refusing to self-isolate after returning from the United States (Cotnam, 2020) to personal experiences faced by physicians in Italy who have to decide which patients will get a ventilator (Mortillaro, 2020). Such types of events resemble potentially morally injurious events (PMIEs), defined as experiences associated with the perpetration, failure to prevent, witnessing of, or learning about acts that transgress deeply held moral beliefs and expectations (Litz et al., 2009), as well as instances of betrayal of what is “right” by an authority figure in a high-stakes situation (Shay, 2014). PMIEs and their moral injury outcomes (MIOs) have mostly been studied in the context of military mental health. Relatively little is known about the impact of PMIEs in civilian populations. Outcomes of PMIEs: In studies of veterans and military personnel, outcomes as a result of PMIEs, referred to as moral injury outcomes (MIOs) include significant psychological and social distress and dysfunction including increased risk of psychopathology, suicide, and substance use (Griffin et al., 2019; Houle et al., 2020; Maguen et al., 2012; Maguen & Burkman, 2013; Nazarov et al., 2018). In one qualitative study of interviews with treatment seeking Canadian Armed Forces members and veterans, exposure to PMIEs resulted significant disruptions in identity and interpersonal relatedness, spirituality, significant rumination, and internalizing and externalizing emotions (Houle et al., 2020). In another Canadian study, exposure to PMIEs increased the risk of developing depression and PTSD (Nazarov et al., 2018). Risk Factors of PMIES: Models of MIO (e.g., Litz et al., 2009) propose that traits such as shame proneness and a rigid moral code will increase the likelihood of experiencing MIOs. Additionally, researchers suggest that exposure to more serious moral stressors will increase the likelihood of experiencing MIOs (Litz & Kerig, 2019). Finally, researchers have emphasized that not all PMIEs will result in MIOs (Griffin et al., 2019), and that it is the appraisals and distress of the PMIE that lead to negative psychological impacts (Griffin et al., 2019; Litz et al., 2009). However, little research has examined these assertions empirically.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,037
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies, Science ouverte, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesÉtudes des sciences et des technologies
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,889
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,037
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,004
Études des sciences et des technologies0,0010,006
Communication savante0,0010,000
Science ouverte0,0080,003
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,185
Tête enseignante GPT0,508
Écart entre enseignants0,322 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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