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Moral Dilemmas Among Workers at a University Hospital During the COVID-19 Pandemic in Brazil

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14 January 2026

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15 January 2026

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Abstract

Background: This study aimed to identify sociodemographic and occupational factors associated with facing moral dilemmas among workers at the Federal University of Pelotas-RS Teaching Hospital who worked on-site during the pandemic. Methods: A cross-sectional study was conducted in 2020 with all workers, including health professionals, support staff, and administrative personnel. Questions about moral dilemmas were grouped into two outcomes: witnessing behaviors or attitudes, and feeling pressured to act in disagreement with what they believed was right. Associations were estimated using Poisson regression with robust variance, based on a hierarchical model. Results: A total of 1,158 workers participated, most of whom were women (76.1%). The prevalence of moral dilemmas was 44% for witnessing and 15% for feeling pressured. Younger age, higher education, being a resident, working both day and night shifts, lack of PPE, and having an active or high-strain job were positively associated with both types of dilemmas, whereas the availability of social support and adequate resting areas reduced their occurrence. Conclusions: Reducing moral dilemmas requires promoting democratic leadership, ensuring adequate staffing, strengthening professional autonomy, encouraging social support, and creating rest spaces. These arrangements are essential for promoting workers’ psychological well-being.

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1. Introduction

During the Covid-19 pandemic, healthcare professionals faced shortages of hospital beds, both in wards and Intensive Care Units, as well as equipment such as ventilators, supplies, and medications. In this context, they were frequently required to make decisions that directly affected patient survival. The spread of anti-scientific narratives generated pressure to adopt treatments without scientific evidence, compromising the technical autonomy of professionals. Furthermore, they faced long working hours, shortages of personal protective equipment (PPE), and delays in accessing vaccines, remaining exposed to a high risk of contamination, with potential consequences for themselves and their families. All these factors may have generated moral dilemmas, that is, conflicts about what is right or wrong based on personal beliefs and values, and ethical dilemmas, related to conflicts about how to act correctly according to a broader system of norms, usually of a professional or social nature [1].
Some studies conducted during the pandemic reported high prevalence of moral dilemmas among healthcare professionals (50%), especially among women, doctors, and nurses, which may be related to gender specificities, professional role, and local context of practice [2,3]. Another study identified an even higher prevalence (66.5%) in a group composed mostly of female medical doctors [4]. In addition, the experience of moral dilemmas among frontline healthcare professionals was reported, especially in situations of resource scarcity (58.3%) and use of PPE which hindered care (31.7%) [5]. Evidence indicates that 60% to 70% of nurses experienced ethical dilemmas involving access to care for patients without Covid-19, the appropriate sharing of information with colleagues, and transparent communication with patients and families [6].
A scoping review highlighted the factors associated with the moral dilemmas faced by this population, such as high workload, need for support, and evidence-based practice. According to this study, in Norway, district physicians had to deal with more responsibilities in decision-making and ethical dilemmas, due to working in larger communities and municipalities. The experiences of community health professionals, in turn, remained limited to the scope of their respective health units [7]. In some studies, female sex was associated with more episodes of moral dilemmas, while older age was associated with fewer occurrences of this outcome. In addition, professionals who worked directly with patients reported greater moral distress, especially those involved in the treatment of Covid-19, who showed higher levels than those not working in this area. [2,8].
Previous analyses prior to this study indicated a high prevalence of moral dilemmas among hospital workers and pointed to the significant impact of moral dilemmas on mental health, finding that workers who faced three or more types of moral dilemmas had twice the risk of experiencing a major depressive episode compared to those who did not face any moral dilemmas [9]. However, further analysis is needed to identify the sociodemographic and occupational aspects that increase the risk of experiencing moral dilemmas. Thus, the aim of this study is to assess the factors associated with moral dilemmas among tertiary-level healthcare workers who were involved in the response to Covid-19. This knowledge is essential for developing strategies that strengthen health system resilience to public health emergencies.

2. Materials and Methods

A cross-sectional study was conducted with all workers (n=1731) linked to the University Hospital of the Federal University of Pelotas, Rio Grande do Sul, Brazil. The study focused not only on healthcare professionals, but also on support and administrative staff, including workers contracted by the Brazilian Hospital Services Company, public servants under the Single Legal Regime, and outsourced workers who worked in person during the pandemic period.
Data collection was conducted between October and December 2020, following the first peak of the disease in the municipality. The Teaching Hospital, part of the Unified Health System (SUS), served as a reference center for the care of patients with Covid-19 during the pandemic. Teaching Hospital workers were invited to participate in the study via institutional email and through announcements posted on the hospital's website, social media, and printed posters.
To assess coping with moral dilemmas, it was investigated whether the worker witnessed situations or felt pressured to act in disagreement with what he considered correct. The questions in the present study were inspired by the Moral Injury Events Scale, a self-reported instrument developed to identify morally distressing experiences among military personnel in conflict zones [10]. The questions were:
  • − How often, during the Covid-19 pandemic, in your work at the Teaching Hospital, did you witness situations related to clinical conduct that disagreed with what you considered to be correct?
  • − How often, during the Covid-19 pandemic, in your work at the Teaching Hospital, did you witness attitudes among colleagues or towards patients that disagreed with what you considered to be correct?
  • − How often, during the Covid-19 pandemic, did you feel pressured by colleagues or superiors to act in disagreement with what you considered to be correct regarding clinical conduct?
  • − How often, during the Covid-19 pandemic, did you feel pressured by colleagues or superiors to act in disagreement with contractual norms?
  • − How often, during the Covid-19 pandemic, did you feel pressured by patients or family members to act in disagreement with what you considered to be correct?
The response options for each question were “never or almost never”; “rarely”; “sometimes” and “frequently”. From these questions, two outcomes were defined: “witnessing”, derived from the first two questions, and “feeling pressured”, derived from the last three questions. The reference group was considered to be those who answered “never or almost never/rarely” to all questions considered in each outcome, and the positive outcome was considered to be those who answered “sometimes/frequently” to at least one of them.
The independent variables comprised sociodemographic characteristics, aspects related to work organization, and workloads. Sociodemographic characteristics consisted of age in complete years, biological sex, skin color according to the categories defined by the Brazilian Institute of Geography and Statistics, education level, and socioeconomic status based on the Brazilian Economic Classification Criteria (CCEB/ABEP 2020). Aspects related to work organization encompassed profession (medical doctors, resident (several professions), nurse, nursing technician or assistant, support staff, administrative staff, or other health professionals), type of employment (permanent/civil service, resident, emergency/temporary, or outsourced), type of shift (day, night, or an equal number of day and night shifts), and assignment to sectors providing care for patients with COVID-19 (COVID-19 ward or COVID-19 intensive care unit). Workloads included the evaluation of occupational stress assessed using the demand–control model (passive job—low demand and low control; active job—high demand and high control; low-strain job—low demand and high control; high-strain job—high demand and low control), social support (high or low), availability of a place to rest during work breaks, adequacy of staffing levels, the need to postpone physiological needs, lack of PPE, and participants’ concern about PPE quality.
The questionnaire was implemented on the REDCap platform and underwent a pre-test with healthcare professionals from other services to correct possible flaws. The instrument was self-administered and could be completed either in person, using tablets at the hospital in a room designated for research, or online via a link, for workers who were temporarily working remotely or who chose to respond outside of working hours. The field team consisted of four supervisors and 15 trained interviewers, available in person and by telephone to receive workers, guide them in completing the questionnaire, and clarify any doubts when necessary. Considering the context of the pandemic, the team followed biosafety standards regarding the sanitization of materials and furniture, as well as the use of personal protective equipment. To minimize losses, interviewers and supervisors contacted non-responding workers by telephone and actively sought them out in hospital departments, inviting them to participate in the study. Department heads were also contacted to request support in inviting and releasing workers to participate. At that time, detailed instructions were provided on completing the online questionnaire for those who preferred this modality.
Statistical analyses were performed using Stata version 15.1. Initially, the five questions related to moral dilemmas, and the two outcomes were described. The association between sociodemographic and occupational aspects with the outcomes was estimated using prevalence ratios and their respective 95% confidence intervals. Statistical significance was assessed using the Wald chi-square test for categorical variables and the test for linear trend for continuous variables. Multivariate analysis followed a three-level hierarchical model, with sociodemographic characteristics at the first level; factors related to work organization at the second level; and workloads at the third level. Poisson regression with robust variance and backward selection was applied. Variables with p-value < 0.20 were retained in the model to control for confounding factors, while those with p-value < 0.05 were considered associated.
The project was approved by the Research Ethics Committee of the Faculty of Medicine of the Federal University of Pelotas (process no. 4.040.039, dated May 21, 2020). All participants were made aware of the research topic, assured of the confidentiality of their personal information and advised of their right to refuse participation or withdraw at any time without penalty. Free and informed consent was obtained electronically, either via tablet or online. The questionnaire was made available only after the participants indicated their agreement with the informed consent terms.

3. Results

A total of 1,158 workers participated in the study, corresponding to a response rate of 67% of the hospital workforce. Among participants, 76.1% were female; 74.4% self-identified as white; 72% were aged between 30 and 49 years; 38.3% had completed postgraduate education; 67.6% belonged to socioeconomic level A or B; 66.1% were married or living with partners; and 62.3% had permanent typo of contract. Nursing technicians and assistants accounted for 17.5% of participants, while and residents from various professional backgrounds represented 4.7% (Table 1).
The most frequent moral dilemmas involved witnessing situations related to clinical conduct that disagreed with what participants considered appropriate (37%) and witnessing attitudes among colleagues or towards patients that disagreed with what was considered correct (33.6%). The prevalence of feeling pressured by colleagues or superiors to act in disagreement with what was considered correct regarding clinical conduct was 15.2%, feeling pressured by colleagues or superiors to act in disagreement with contractual norms was 11.2, and feeling pressured by patients or family members to act in disagreement with what was considered correct was 10.9%. The prevalence of moral dilemmas considering the two questions related to witnessing attitudes that disagreed with what the participant considered correct was 44%, while considering the three questions about feeling pressured in the work environment, the prevalence was 15%. (Table 2).
Table 3 presents the factors associated with witnessing clinical conduct or attitudes that disagreed with what the participant considered correct. This dilemma was inversely associated with age and directly associated with education level. Residents (PR 1.84, 95%CI 1.40–2.44), nurses (PR 1.50, 95%CI 1.08–2.11), nursing assistants and technicians (PR 1.59, 95%CI 1.19–2.13), and other healthcare professionals (PR 1.32, 95%CI 0.99–1.76) faced this type of dilemma significantly more often than medical doctors. Workers in the administrative sector experienced 51% (95%CI 0.31–0.77) fewer of these types of dilemmas than medical doctors. Workers with the same number of day and night shifts faced 39% (95%CI 1.11–1.75) more of these dilemmas than day shift workers. Those with social support faced 28% (95%CI 0.62–0.82) fewer of these types of dilemmas. Workers with active jobs (PR 1.45, 95%CI 1.15–1.82) and high-strain jobs (PR 1.31, 95%CI 1.03–1.66) experienced significantly more of these types of dilemmas than those with passive jobs. Those who had social support experienced 28% (95%CI 0.62 – 0.82) fewer of these types of dilemmas, while workers who reported a lack of PPE and concern about the quality of PPE faced 68% (95%CI 1.15–1.50) and 48% (95%CI 1.19 – 1.95) more of these types of dilemmas, respectively.
Table 4 presents the factors associated with feeling pressured by colleagues or superiors to perform clinical conduct that disagreed with what was considered correct, feeling pressured to act in disagreement with contractual norms, or feeling pressured by patients or family members to act in disagreement with what the participant considered correct. This dilemma also showed an inverse association with age and a direct association with education level. Residents faced this dilemma 1.98 (95%CI 1.16-3.38) times more often than medical doctors. Those who had the same number of day and night shifts experienced this type of dilemma 2.53 (95%CI 1.61-3.97) times more often than day shift workers. Workers with active (PR 3.70 95%CI 1.71–8.00) and high-strain jobs (PR 4.30 95%CI 2.02-9.15) experienced significantly more of this type of dilemma than those with passive jobs. Those who had social support and an adequate rest area for their breaks faced 50% (95%CI 0.35–0.71) and 35% (95%CI 0.46–0.92) fewer of these dilemmas, respectively, while workers who reported a lack of PPE experienced 93% (95%CI 1.41–2.66) more of these dilemmas.

4. Discussion

This study identified a high prevalence of moral dilemmas among healthcare professionals during the study period, reflecting adverse working conditions in healthcare services that may have been exacerbated during the Covid-19 pandemic. Younger workers, those with higher levels of education, and those who worked both day and night shifts experienced higher levels of both witnessing- and pressure-related moral dilemmas. The availability of social support and an adequate place for rest were associated with reduced coping with moral dilemmas, whereas lack of PPE, active job, and high-strain job were associated with increased coping. Residents, nurses, nursing assistants, and technicians, as well as those who reported concerns about PPE quality, were at greater risk of witnessing situations that conflicted with their values, while the risk of feeling pressured was higher among residents compared with medical doctors.
The prevalence of moral dilemmas found in this study was slightly lower than that reported in international research, which has documented rates exceeding 50% among healthcare professionals [2,3,4,5]. This variation may be explained by contextual and methodological differences, such as the severity of the pandemic in the study setting, the timing of data collection, the instrument used to assess moral dilemmas, and the sociodemographic characteristics of the sample, particularly participants’ age, sex, and profession. While the present study was conducted among workers at a university hospital in Southern Brazil during the second wave of the pandemic, other studies have involved multiple hospitals in Norway, the United States, Australia, and the Czech Republic, and were carried out at different stages of the health crisis [2,3,4,5].
In agreement with this study, research conducted in Intensive Care Units in Canada, hospitals in Norway, and the United States, both in pre and post-pandemic contexts, identified that younger professionals, such as medical residents, reported greater exposure to morally challenging situations [2,11]. During the pandemic, many professionals assumed responsibilities disproportionate to their autonomy, frequently executing care plans developed by superiors without effective participation in decisions [12]. Less practical experience, submission to hierarchy in the hospital environment, and difficulty in confronting institutional norms compromise autonomy and increase psychological suffering [12,13]. Furthermore, the routine of resident physicians, characterized by long hours, sleep deprivation, and low predictability about their daily work, exacerbates emotional and moral vulnerability [13].
Consistent with the findings of this study, previous research indicates that professionals with higher levels of education, such as graduate nurses, are more prone to experiencing moral dilemmas than those with technical training, due to their greater involvement in clinical decision-making and increased accountability for their actions [11,14]. In addition, higher levels of moral distress among nurses, residents, and nursing technicians compared with senior physicians have been attributed both by their responsibility for direct patient care and to their lower decisional autonomy [2,12,14,15]. Other studies have shown that administrative professionals, or those who did not work on the front line, experienced significantly lower levels of moral stress, with a prevalence of 7%, compared to more than 60% among healthcare professionals [14].
The higher occurrence of moral dilemmas among workers who alternate between day and night shifts may be related to their exposure to differing team dynamics, leadership styles, and clinical management approaches, which increases the likelihood of witnessing behaviors that diverge from their ethical and professional values [16]. Shift work also entails navigating different informal protocols, variations in interdisciplinary communication, and fluctuations in medical or managerial supervision, which can generate insecurity and moral conflict [17,18]. Previous studies indicate that leadership discontinuity and cultural differences between shifts contribute to ethically uncomfortable situations, particularly in contexts of work overload and resource scarcity [3,12,16,19].
The higher frequency of moral dilemmas among workers in active jobs highlights the role of high demands in this outcome. In high-pressure situations, such as those experienced during the pandemic, large numbers of patients, high clinical severity and the urgency of decision-making impose extreme cognitive, emotional, and organizational demands, thereby intensifying the confrontation with moral dilemmas. Studies show that work overload is a major source of moral stress among nurses, particularly in contexts involving double shifts or long working hours, which compromise their ability to act in accordance with their professional judgment [2,20]. Furthermore, several studies have identified excessive work demands as one of the main factors associated with increased moral distress during the pandemic, whereas conditions that enable adherence to good clinical practices function as protective factors [9,16,17,21,22].
Furthermore, the higher occurrence of moral dilemmas among workers in high-strain jobs highlights the relevance of low control over work, in high-demand contexts, in the occurrence of moral dilemmas. Limited decisional autonomy increases the likelihood of ethical conflicts, as workers may be required to adopt behaviors that contradict their values or their technical training, leading to the perception that they are unable to provide optimal care [12]. During the Covid-19 pandemic, many healthcare professionals experienced reduced social support due to changes in work routines and social distancing measures [23]. Although no studies were identified that directly examined the association between social support and moral dilemmas, the observed negative association is consistent with the literature identifying social support as a protective factor against anxiety, depression, and sleep disorders [9,24].
The association between lack of PPE and moral dilemmas is consistent with findings from studies conducted in the United States, Kenya, and Canada, which showed that the scarcity or rationing of PPE, widely reported across countries during the pandemic, was a critical factor in moral distress, particularly in the absence of adequate training for allocating scarce resources [4]. The lack of PPE places healthcare professionals in conflict between their duty of care and self-preservation, reinforcing the ethical and emotional vulnerability experienced within hospital settings during the pandemic. A North American study found that 32% of professionals perceived that the use of PPE limited patient care, thereby constituting a moral dilemma. However, it also observed that nurses and intensive care unit professionals experienced less emotional impact from PPE use, possibly due to greater familiarity with high biosafety environments [5].
The study included all hospital workers and was not restricted, as in other studies, to a specific professional group. The sample comprised a large number of workers and achieved a good response rate. Data collection was conducted over a short period, capturing a specific moment of the pandemic. The questionnaire was self-administered, ensuring participants’ privacy when reporting moral dilemmas. However, no standardized instruments were available to assess moral dilemmas among healthcare workers; therefore, the questionnaire was developed by the authors, which may limit the comparability of the findings with those of other studies. The types of moral dilemmas evaluated may be more characteristic of those experienced by frontline workers. Despite efforts to preserve the participants’ privacy while completing the questionnaire, information bias cannot be ruled out, particularly given that the questionnaire was not anonymous, this bias may have led to an underestimation of the prevalence of moral dilemmas prevalence.
Moral dilemmas tend to intensify in the context of health crises; however, they are also relevant in the routine of healthcare services. Therefore, further studies are needed to deepen the understanding of the factors associated with moral dilemmas and their impacts on workers' health. Future research should prioritize the development and validation of standardized instruments for measuring moral dilemmas, with more detailed items and grounded in broad constructs, in order to enable comparisons across studies. A consistent body of research using standardized instruments, will help generate more robust evidence to inform the development of institutional strategies aimed at reducing moral dilemmas in the workplace.

5. Conclusions

Healthcare institutions should adopt organizational strategies aimed at reducing the moral dilemmas experienced by their workers. More democratic and participatory leadership models can strengthen professional autonomy and enhance engagement in care-related decision-making. Adequate staffing levels are crucial for balancing care demands and reducing workload. In addition, fostering social support among workers and providing welcoming environments with spaces for rest and recovery are essential measures to promote a healthier and more resilient work environment, particularly in contexts of high psychological pressure. Reducing the moral dilemmas faced by healthcare workers is fundamental to promoting their psychological well-being and the long-term sustainability of care and should be an integral part of adaptation efforts to address future health crises, such as outbreaks, epidemics, and other crises related to climate change.

Author Contributions

Conceptualization, A.G.F., M.P.C., B.D.F., L.M.G. and A.L.S.C.S.; methodology, A.G.F., M.P.C., B.D.F., L.M.G. and A.L.S.C.S.; validation, A.G.F., M.P.C., B.D.F., L.M.G., F.M.D. and A.L.S.C.S.; formal analysis, A.G.F.,C.F.H and A.L.S.C.S.; investigation, A.G.F., M.P.C., B.D.F., L.M.G., F.M.D. and A.L.S.C.S.; resources, A.G.F., M.P.C., B.D.F., L.M.G. and A.L.S.C.S.; data curation, A.G.F., M.P.C., B.D.F., L.M.G., F.M.D. and A.L.S.C.S.; writing—original draft preparation, A.G.F. and C.F.H.; writing—review and editing, A.G.F., C.F.H., M.P.C., B.D.F., L.M.G., F.M.D. and A.L.S.C.S.; visualization, A.G.F. and C.F.H.; supervision, A.G.F.; project administration, A.G.F.; funding acquisition, A.G.F., M.P.C., B.D.F., L.M.G. and A.L.S.C.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Research Support Foundation of the State of Rio Grande do Sul (FAPERGS), grant agreement No. 20/2551-0000282-9. It also received support from the Coordination for the Improvement of Higher Education Personnel (CAPES) in the form of postgraduate scholarships (Finance Code 001) and from the National Council for Scientific and Technological Development (CNPq) in the form of a research productivity fellowship (process No. 309329/2025-6).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the he Research Ethics Committee of the Faculty of Medicine of the Federal University of Pelotas as per Opinion No. 4.040.039 issued on May 21, 2020.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The raw data supporting the conclusions of this article are not publicly available at this time due to ongoing analyses and ethical restrictions related to participant confidentiality. However, the data may be made available from the corresponding author upon reasonable request.

Acknowledgments

The authors would like to thank all workers who participated in this study for their time and valuable contributions. We also acknowledge the support of the management and staff of the Federal University of Pelotas Teaching Hospital for promoting the study’s dissemination and facilitating data collection. During the preparation of this manuscript, the authors used ChatGPT exclusively to assist with English language editing. The authors have reviewed and edited the output and take full responsibility for the content of this publication.”

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

The following abbreviations are used in this manuscript:
PPE Personal protective equipment
SUS Unified Health System
CCEB/ABEP Brazilian Economic Classification Criteria (CCEB/ABEP)

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Table 1. Description of the sociodemographic and occupational characteristics of workers at a Teaching Hospital. Pelotas-RS, Brazil, 2020 (n = 1.158).
Table 1. Description of the sociodemographic and occupational characteristics of workers at a Teaching Hospital. Pelotas-RS, Brazil, 2020 (n = 1.158).
Variables N % (95%IC)
Sex
Male 277 23,9 (21,5 – 26,4)
Female 881 76,1 (73,6 – 78,5)
Age (n = 1.156)
19 - 29 anos 133 11,5 (9,8 – 13,5)
30 – 39 anos 459 39,7 (36,9 – 42,6)
40 – 49 anos 373 32,3 (29,5 – 34,9)
50 anos ou mais 191 16,5 (14,5 – 18,8)
Skin color
White 862 74,4 (71,8 – 76,8)
Black 142 12,3 (10,5 – 14,4)
Brown 143 12,3 (10,6 – 14,4)
Yellow 7 0,6 (0,2 – 1,3)
Indigenous 5 0,4 (0,2 – 1,0)
Marital status
Single or without a partner 393 33,9 (31,2 – 36,7)
Married or with a partner 766 66,1 (63,3 – 68,8)
Education level (n = 1.140)
Illiterate to High school or technical course complete 332 29,1 (26,5 - 31,8)
Incomplete or complete higher education 371 32,5 (29,9 – 35,3)
Complete postgraduate studies 437 38,3 (35,5 – 41,2)
Socioeconomic level (ABEP) (n=1.139)
A 165 14,5 (12,6 – 16,7)
B 605 53,1 (50,2 – 56,0)
C-D-E 369 32,4 (29,8 – 35,2)
Profession
Medical Doctors 108 9,3 (7,8 - 11,1)
Residents 54 4,7 (3,6 - 6,0)
Nurses 135 11,7 (9,9 - 13,6)
Nursing technicians and assistants 318 27,5 (24,9 - 30,1)
Support 242 20,9 (18,6 - 23,3)
Administrative staff 117 10,1 (8,5 - 11,9)
Other healthcare professionals 184 15,9 (13,9 - 18,1)
Employment type
Permanent/civil servant 721 62,3 (59,4 - 65,0)
Resident 54 4,7 (3,6 - 6,0)
Emergency/temporary 112 9,7 (8,1 - 11,5)
Outsourced 271 23,4 (21,0 - 25,9)
Shift
Day shift 864 74,6 (72,0 - 77,0)
Night shift 237 20,4 (18,2 - 22,9)
Same number of shifts 57 4,9 (3,8 - 6,3)
Covid ward
No 989 85,4 (83,2 - 87,3)
Yes 169 14,6 (12,7 - 16,8)
Covid ICU
No 991 85,6 (83,4 - 87,5)
Yes 167 14,4 (12,5 - 16,6)
Social support
Low 411 35,5 (32,8 - 38,3)
High 747 64,5 (61,7 - 67,3)
Demand-control model
Passive job 290 25,0 (22,6 - 27,6)
Active job 388 33,5 (30,8 - 36,3)
Low-strain job 247 21,3 (19,1 - 23,8)
High-strain job 233 20,1 (17,9 - 22,5)
Rest area (n=915)
No 447 48,8 (45,6 - 52,1)
Yes 468 51,1 (47,9 - 54,4)
Lack of PPE (n=1,156)
No 773 66,9 (64,1 - 69,5)
Yes 383 33,1 (30,5 - 35,9)
Concern about PPE quality (n=1,156)
No 299 25,9 (23,4 - 28,5)
Yes 857 74,1 (71,5 - 76,6)
N-Number of observations; %-percentage; CI-confidence interval. ABEP - Brazilian Economic Classification Criteria. ICU – Intensive Care Unit. PPE - Personal Protective Equipment. Source: authors.
Table 2. Witnessing clinical conduct or attitudes and feeling pressured to act in a way that contradicts what you consider correct. Workers at a Teaching Hospital, 2021, Pelotas, RS, Brazil (N=1.158).
Table 2. Witnessing clinical conduct or attitudes and feeling pressured to act in a way that contradicts what you consider correct. Workers at a Teaching Hospital, 2021, Pelotas, RS, Brazil (N=1.158).
Witnessing Feeling pressured
Variables Clinical conduct (%) Attitudes (%) Clinical conduct (%) Contractual norms Patients families
Sex
Male 43,3 36,5 17,7 13,7 12,3
Female 36,0 32,7 14,4 10,4 10,4
Age
19-29 44,4 41,4 21,8 14,3 14,3
30-39 41,4 34,9 17,2 12,4 11,3
40-49 36,2 31,6 10,7 9,4 9,4
≥50 27,8 29,3 14,7 10,0 10,5
Education level
Illiterate to High school or technical course complete 28,6 25,3 9,6 8,4 9,6
Incomplete or complete higher education 40,4 34,2 13,8 10,8 10,2
Complete postgraduate studies 42,8 40,1 20,8 13,7 12,4
Profession
Medical Doctors 33,3 31,5 20,4 15,7 15,7
Residents 61,1 57,4 27,8 24,1 25,9
Nurses 57,8 51,9 31,1 20,0 17,8
Nursing technicians and assistants 45,6 39,3 13,8 12,9 12,9
Support 23,1 18,2 7,4 5,8 5,0
Administrative staff 13,7 13,7 4,3 2,6 1,7
Other healthcare professionals 39,7 37,5 16,3 8,2 8,7
Employment type
Permanent/competitive exam 42,7 38,3 18,3 13,3 12,1
Resident 61,1 57,4 27,8 24,1 25,9
Emergency/temporary 26,8 28,6 6,3 5,4 7,1
Outsourced 24,4 18,5 8,1 5,5 6,3
Shift
Day shift 35 32,6 13,2 10,2 9,7
Night shift 43,9 33,3 17,7 12,2 12,7
Same number of shifts 50,1 49,1 35,1 22,8 21,1
Covid ward
No 35,9 31,3 14,0 10,6 9,9
Yes 48,5 46,8 22,5 14,8 16,6
Covid ICU
No 33,6 32,5 15,0 11,0 10,4
Ye 44,3 40,1 16,2 12,6 13,8
Social support
Low 56,9 53,0 28,9 21,7 18,7
High 27,2 22,9 7,63 5,49 6,56
Demand-control model
Passive job 21,0 18,3 3,5 2,8 3,1
Active job 51,0 44,1 23,7 16,8 16,2
Low strain job 28,7 27,1 4,9 3,6 3,2
High strain job 45,9 42,1 26,6 20,6 19,7
Rest area (n=915)
No 45,4 39,6 19,9 14,5 13,2
Yes 32,7 28,4 10,3 6,84 7,91
Lack of PPE (n=1,156)
No 29,5 27,3 9,70 7,24 8,80
Yes 54,6 46,5 26,4 19,3 15,1
Concern about PPE quality (n=1,156)
No 16,7 17,1 7,02 3,34 3,34
Yes 45,2 39,4 18,1 14,0 13,5
Total 37,7 33,6 15,2 11,2 10,9
% Prevalence. ICU – Intensive Care Unit. PPE - Personal Protective Equipment. Witnessing: Clinical Conduct: How often, during the Covid-19 pandemic, in your work at the Teaching Hospital, did you witness situations related to clinical conduct that were inconsistent with what you considered correct? And attitudes among colleagues or towards patients that were inconsistent with what you considered correct? Feeling pressured: How often, during the Covid-19 pandemic, did you feel pressured by colleagues or superiors to act in a way that was inconsistent with what you considered correct regarding clinical conduct? And regarding contractual norms? And by patients or family members?
Table 3. Prevalence and factors associated with moral dilemmas arising from witnessing clinical conduct or attitudes that disagreed with what the participant considered correct. Workers at a Teaching Hospital during the Covid-19 pandemic. Pelotas, RS, Brazil, 2021 (N=1.158).
Table 3. Prevalence and factors associated with moral dilemmas arising from witnessing clinical conduct or attitudes that disagreed with what the participant considered correct. Workers at a Teaching Hospital during the Covid-19 pandemic. Pelotas, RS, Brazil, 2021 (N=1.158).
Variables Prevalence (%) Witnessing
Crude PR
(CI 95%)
p-value Witnessing
Adjusted PR (95% CI)
p-value
Level 1: Sociodemographic Aspects
Sex 0,093 0,179
Male 48,7 Ref Ref
Female 43,1 0,89 (0,77 – 1,02) 0,91 (0,79 – 1,05)
Age 0,042* 0,094*
19-29 50,3 Ref Ref
30-39 47,5 0,94 (0,77 – 1,14) 0,96 (0,78 – 1,17)
40-49 42,9 0,85 (0,69 – 1,05) 0,89 (0,72 – 1,10)
≥50 36,6 0,73 (0,56 – 0,94) 0,75 (0,58 – 0,97)
Education level 0,001* <0,004*
Illiterate to High school or technical course complete 36,2 Ref Ref
Incomplete or complete higher education 46,9 1,30 (1,08 – 1,55) 1,26 (1,05 – 1,51)
Complete postgraduate studies 49,4 1,37 (0,31 – 0,42) 1,33 (1,12 – 1,59)
Level 2: Work Organization
Profession <0,001 <0,001
Medical Doctors 39,8 Ref
Nurses 68,5 1,72 (1,30 – 2,30) 1,50 (1,08 – 2,11)
Residents 64,5 1,61 (1,24 – 2,10) 1,84 (1,40 – 2,44)
Nursing technicians and assistants 52,5 1,32 (1,02 – 1,70) 1,59 (1,19 – 2,13)
Support 28,9 0,73 (0,54 – 0,99) 0,85 (0,60 – 1,22)
Administrative staff 19,7 0,50 (0,32 – 0,76) 0,49 (0,31 – 0,77)
Other healthcare professionals 47,9 1,20 (0,91 – 1,58) 1,32 (0,99 – 1,76)
Shift 0,014 <0,005
Day shift 42,8 Ref Ref
Night shift 46,9 1,09 (0,94 – 1,30) 0,91 (0,77 – 1,05)
Same number of shifts 59,7 1,39 (1,11 – 1,75) 1,39 (1,11 – 1,75)
Level 3: Work Loads
Social support <0,001 <0,001
Low 64,2 Ref Ref
High 33,6 0,52 (0,46 – 0,59) 0,72 (0,62 – 0,82)
Demand-control model <0,001 <0,001
Passive job 28,5 Ref Ref
Active job 56,7 1,98 (1,62 – 2,44) 1,45 (1,15 - 1,82)
Low strain job 35,6 1,24 (0,97 – 1,59) 1,02 (0,77 - 1,34)
High strain job 53,3 1,86 (1,50 – 2,31) 1,31 (1,03 - 1,66)
Rest area (n=915) <0,001 0,053
No 52,1 Ref Ref
Yes 38,7 0,74 (0,64 - 0,86) 0,87 (0,76 - 1,00)
Lack of PPE (n=1,156) <0,001 <0,001
No 36,1 Ref Ref
Yes 61,6 1,70 (1,51 - 1,93) 1,32 (1,15 - 1,50)
Concern about PPE quality (n=1,156) <0,001 <0,001
No 22,7 Ref Ref
Yes 52,2 2,29 (1,84 - 2,85) 1,52 (1,19 – 1,95)
* p-value for linear trend. PR – Prevalence Ratio. CI – Confidence Interval. PPE - Personal Protective Equipment. The "Witnessing" outcome considered the following questions: How often, during the Covid-19 pandemic, in your work at the Teaching Hospital, did you witness situations related to clinical conduct that were inconsistent with what you considered correct? How often, during the Covid-19 pandemic, in your work at the Teaching Hospital, did you witness attitudes among colleagues or towards patients that were inconsistent with what you considered correct? The reference group was considered to be those who answered "no" to both questions, and the positive outcome was considered to be those who answered "yes" to at least one of them.
Table 4. Prevalence and factors associated with moral dilemmas arising from feeling pressured by colleagues or superiors to perform clinical conduct that disagreed with what was considered correct, to act in disagreement with contractual norms, or feeling pressured by patients or family members to act in disagreement with what the participant considered correct. Workers at a Teaching Hospital during the Covid-19 pandemic. Pelotas, RS, Brazil, 2021 (N=1.158).
Table 4. Prevalence and factors associated with moral dilemmas arising from feeling pressured by colleagues or superiors to perform clinical conduct that disagreed with what was considered correct, to act in disagreement with contractual norms, or feeling pressured by patients or family members to act in disagreement with what the participant considered correct. Workers at a Teaching Hospital during the Covid-19 pandemic. Pelotas, RS, Brazil, 2021 (N=1.158).
Variables Prevalence (%) Feeling pressured
Crude PR (95%CI)
p-value Feeling pressured
Adjusted PR (95%CI)
p-value
Level 1: Sociodemographic Aspects
Age 0,019* 0,006*
19-29 22,6 Ref Ref
30-39 16,7 0,74 (0,48 – 1,15) 0,64 (0,43 – 0,96)
40-49 10,3 0,46 (0,28 – 0,76) 0,44 (0,28 – 0,70)
≥50 14,9 0,65 (0,38 – 1,12) 0,62 (0,38 – 1,00)
Education level 0,001* <0,001*
Illiterate to High school or technical course complete 9,2 Ref Ref
Complete or incomplete higher education 13,2 1,30 (0,80 – 2,10) 1,32 (0,84 – 2,05)
Complete postgraduate studies 20,9 2,10 (1,36 – 3,25) 2,19 (1,46 – 3,28)
Level 2: Work Organization
Profession <0,001 <0,001
Medical Doctors 20,4 Ref Ref
Nurses 32,5 1,74 (0,91 – 3,34) 1,61 (0,82 - 3,15)
Residents 32,5 1,52 (0,89 – 2,59) 1,98 (1,16 – 3,38)
Nursing technicians and assistants 13,2 0,71 (0,40 – 1,22) 0,92 (0,49 – 1,72)
Support 7,3 0,34 (0,17 – 0,66) 0,58 (0,27 – 1,23)
Administrative staff 3,6 0,11 (0,03 – 0,35) 0,24 (0,08 – 0,71)
Other healthcare professionals 16,0 0,74 (0,41 – 1,33) 0,98 (0,55 – 1,73)
Shift <0,001 <0,001
Day shift 13,0 Ref Ref
Night shift 17,4 1,35 (0,96 – 1,97) 1,25 (0,87 – 1,79)
Same number of shifts 37,8 2,61 (1,63 – 4,20) 2,53 (1,61 – 3,97)
Level 3: Workforce
Social support <0,001 <0,001
Low 29,5 Ref Ref
High 7,5 0,21 (0,15 – 0,30) 0,50 (0,35 – 0,71)
Demand-control model <0,001 <0,001
Passive 3,5 Ref Ref
Active 24,6 8,20 (3,93 – 17,1) 3,70 (1,71 – 8,00)
Low demand 4,9 0,98 (0,40 – 2,48) 1,14 (0,45 – 2,80)
High demand 26,9 9,50 (4,50 – 20,1) 4,30 (2,02 – 9,15)
Rest area (n=915) <0,001 0,017
No 20,2 Ref Ref
Yes 9,53 0,47 (0,33 - 0,66) 0,66 (0,47 – 0,93)
Lack of PPE (n=1,156) <0,001 <0,001
No 9,32 Ref Ref
Yes 26,6 2,85 (2,13 - 3,81) 1,93 (1,41 – 2,66)
*P-value for linear trend. PR – Prevalence Ratio. CI – Confidence Interval. PPE - Personal Protective Equipment. The outcome "Feeling pressured" considered the following questions: - How often, during the Covid-19 pandemic, did you feel pressured by colleagues or superiors to act in a way that contradicted what you considered correct regarding clinical practices? - How often, during the Covid-19 pandemic, did you feel pressured by colleagues or superiors to act in violation of contractual norms? - How often, during the Covid-19 pandemic, did you feel pressured by patients or family members to act in violation of what you considered correct? The reference group was considered to be those who answered "no" to all three questions, and the positive outcome was considered to be those who answered "yes" to at least one of them.
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