UNASSIGNED: Bioethicists have long been concerned with the mistreatment of institutionalized patients, including those suffering from mental illness. Despite this attention, the built environments of health care settings have largely escaped bioethical analysis. This is a striking oversight given that architects and social scientists agree that buildings reflect and reinforce prevailing social, cultural, and medical attitudes. Architectural choices are therefore ethical choices. We argue that mental health institutions are fertile sites for ethical analysis. Examining the ethics of architecture calls attention to the potential for hospitals to hinder autonomy. Additionally, such examination highlights the salutogenic possibilities of institutional design, that is to care, nurture, and enhance patient and provider well-being.

Experimental research on sequential moral behavior (SMB) has found that engaging in an initial moral (or immoral) behavior can sometimes lead to moral balancing (i.e., switching between positive and negative behavior) and sometimes to moral consistency (i.e., maintaining a consistent pattern of positive or negative behavior). In two meta-analyses, we present the first comprehensive syntheses of SMB studies and test moderators to identify the conditions under which moral balancing and moral consistency are most likely to occur. Meta-Analysis 1 (k = 217 effect sizes, N = 31,242) revealed that engaging in an initial positive behavior only reliably resulted in moral licensing (i.e., balancing) in studies that measured engagement in negative target behaviors (Hedges\' g = 0.25, 95% CI [0.16, 0.44]) and only resulted in positive consistency in foot-in-the-door studies using prosocial requests (Hedges\' g = -0.44, 95% CI [-0.59, -0.29]). Meta-Analysis 2 (k = 132 effect sizes, N = 14,443) revealed that engaging in an initial negative behavior only reliably resulted in moral compensation (i.e., balancing) in studies that measured engagement in positive target behaviors (Hedges\' g = 0.27, 95% CI [0.18, 0.37]). We found no evidence for reliable negative consistency effects in any conditions. These results cannot be readily explained by current theories of SMB effects, and so further research is needed to better understand the mechanisms that drive moral balancing and consistency under the conditions observed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

UNASSIGNED: Artificial intelligence tools such as Chat Generative Pre-trained Transformer (ChatGPT) have been used for many health care-related applications; however, there is a lack of research on their capabilities for evaluating morally and/or ethically complex medical decisions. The objective of this study was to assess the moral competence of ChatGPT.
UNASSIGNED: This cross-sectional study was performed between May 2023 and July 2023 using scenarios from the Moral Competence Test (MCT). Numerical responses were collected from ChatGPT 3.5 and 4.0 to assess individual and overall stage scores, including C-index and overall moral stage preference. Descriptive analysis and 2-sided Student\'s t-test were used for all continuous data.
UNASSIGNED: A total of 100 iterations of the MCT were performed and moral preference was found to be higher in the latter Kohlberg-derived arguments. ChatGPT 4.0 was found to have a higher overall moral stage preference (2.325 versus 1.755) when compared to ChatGPT 3.5. ChatGPT 4.0 was also found to have a statistically higher C-index score in comparison to ChatGPT 3.5 (29.03 ± 11.10 versus 19.32 ± 10.95, P =.0000275).
UNASSIGNED: ChatGPT 3.5 and 4.0 trended towards higher moral preference for the latter stages of Kohlberg\'s theory for both dilemmas with C-indices suggesting medium moral competence. However, both models showed moderate variation in C-index scores indicating inconsistency and further training is recommended.
UNASSIGNED: ChatGPT demonstrates medium moral competence and can evaluate arguments based on Kohlberg\'s theory of moral development. These findings suggest that future revisions of ChatGPT and other large language models could assist physicians in the decision-making process when encountering complex ethical scenarios.

The ChatGPT technology is increasingly becoming a part of our daily lives and is starting to be utilized in various decision-making contexts. The current study builds upon prior research, demonstrating that people\'s moral decision-making is influenced by ChatGPT across three perspectives, as evidenced by two studies (total n = 1925). The findings suggested that ChatGPT advice impacted decision-making similarly to expert advice, although not all decisions were susceptible to influence, particularly those based on negative emotions. Additionally, ChatGPT advice affected decisions beyond moral judgments, but no effect was observed when the advice recommended immediate low rewards. Moreover, individuals with a higher tendency for personal fear of invalidity were more likely to be influenced by both expert and AI advice, but this was not related to trust in AI.

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An ethicist advocates a moral framework for technology.

During the COVID-19 pandemic, healthcare workers faced grave responsibilities amidst rapidly changing policies and material and staffing shortages. Moral injury, psychological distress following events where actions transgress moral beliefs/ expectations, increased among healthcare workers. We used a sequential mixed methods approach to examine workplace and contextual factors related to moral injury early in the pandemic. Using a Total Worker Health® framework, we 1) examined factors associated with moral injury among active healthcare professionals (N = 14,145) surveyed between May-August 2020 and 2) qualitatively analyzed open-ended responses from 95 randomly selected participants who endorsed moral injury on the survey. Compared to inpatient hospital, outpatient (OR = 0.74 [0.65, 0.85]) or school clinic settings (OR = 0.37 [0.18, 0.75]) were associated with lower odds of moral injury; while group care settings increased odds (OR = 1.36 [1.07, 1.74]). Working with COVID+ patients (confirmed+ OR = 1.27 [1.03, 1.55]), PPE inadequacy (OR = 1.54 [1.27, 1.87]), and greater role conflict (OR = 1.57 [1.53, 1.62]) were associated with greater odds of moral injury. Qualitative findings illustrate how outside factors as well as organizational policies and working conditions influenced moral injury. Moral injury experiences affected staff turnover and patient care, potentially producing additional morally injurious effects. Worker- and patient-centered organizational policies are needed to prevent moral injury among healthcare workers. The generalizability of these findings may be limited by our predominantly white and female sample. Further research is indicated to replicate these findings in minoritized samples.

Moral disengagement is an important aggressive and moral cognition. The mechanisms of changes in moral disengagement remain unclear, especially at the within-person level. We attempted to clarify this by exploring the serial effects of personal relative deprivation and hostility on civic moral disengagement. We conducted a three-wave longitudinal survey with 1058 undergraduates (63.61% women; mean age = 20.97). The results of the random intercept cross-lagged panel model showed that personal relative deprivation at Wave 1 and hostility at Wave 2 formed a serial effect on the within-person changes in civic moral disengagement at Wave 3, and the longitudinal indirect effect test showed that the within-person dynamics in hostility at Wave 2 acted as a mediator. The results of multiple group analysis across genders further showed that the longitudinal indirect role of hostility at Wave 2 was only observed for men, but not for women, which indicates the moderating effect of gender. These findings facilitate an understanding of the mechanisms of aggressive cognitions at the within-person level and offer implications for the prevention and intervention of aggression from the perspective of moral cognition.

This article considers what it might mean to do the moral work of grieving during an opioid epidemic. Becoming callous, bitter, or resentful are harms we can suffer to our characters when grieving losses, especially at epidemic scale. This article suggests how appreciating beauty can play roles in grieving that could help mitigate these harms.