Quality of life of critical care nurses and impact on anxiety, depression, stress, burnout and sleep quality: A cross-sectional study

Latent profile analysis of factors influencing sleep quality in ICU nurses cross-sectional study

This study aims to identify the potential classifications of sleep disturbances within the ICU nurse population, and to compare the between-group differences in demographic data and sleep characteristics. Through convenience sampling, ICU nurses from three tertiary A-level hospitals in China were selected as research subjects from March to May 2024. A survey was conducted using a demographic data questionnaire, the PSQI scale, the DASS-21 scale, and the BPS scale, and the data on the sleep quality of ICU nurses was collected via electronic questionnaires. This research also utilized latent class analysis to examine the symptomatic traits of sleep quality in ICU nurses. Additionally, it applied univariate analysis and unordered multinomial logistic regression models to determine the factors influencing the various categories of their sleep quality. A total of 545 questionnaires were distributed, of which 522 were validly returned, yielding an effective response rate of 95.7%. Four potential sleep quality profiles were identified, including "high sleep quality - no sleeping pills," "medium sleep quality - low sleeping pills," "medium sleep quality - medium sleeping pills," and "low sleep quality - high sleeping pills," with proportions of 43.7%, 40.6%, 10.5%, and 5.2%, respectively. Unordered multinomial logistic regression analysis indicated that the number of night shifts per week, marital status, BPS scores, FSS scores, and DASS-21 scores were key factors affecting the sleep quality classification of ICU nurses(P < 0.05). The sleep quality characteristics of ICU nurses are diverse and can be divided into four different categories. Therefore, nursing managers should be aware of this heterogeneity and take corresponding intervention measures based on the classification of nurses to ensure their sleep quality and promote psychological health.

Moral injury and mental health outcomes in nurses: A systematic review

Introduction: Moral injury involves the adverse psychological, biological, spiritual, behavioural, and social consequences of actions that violate moral values. It can lead to anxiety, depression, burnout, and post-traumatic stress disorder. Nurses, who often face ethical dilemmas, are particularly vulnerable. Despite its significance, the relationship between moral injury and mental health outcomes in nurses remains underexplored. Aim: This systematic review aimed to describe the associations among moral injury, anxiety, depression, and quality of life in nurses. Methods: The review was registered in PROSPERO (CRD42023438731) and was conducted following the PRISMA guidelines. A literature search was performed in December 2023 across PubMed, CINAHL, Scopus, and Web of Science. Peer-reviewed primary research involving nurses, published in English or Italian, without time restrictions, was considered eligible. The risk of bias and the quality of evidence were assessed using the Joanna Briggs Institute checklist and the GRADE approach. Results: Out of 4730 articles identified, eight met the inclusion criteria. The analysis revealed significant positive associations between moral injury, anxiety, and depression, along with a significant negative association with quality of life. Conclusion: These findings highlight the need for healthcare systems to implement strategies that mitigate moral injury among nurses. Future research should prioritize longitudinal studies to explore causal relationships and develop targeted interventions. Additionally, standardizing the concept and measurements of moral injury is crucial for enhancing the comparability and understanding of this phenomenon.

Risk factors of anxiety, depression, stress, job burnout, and characteristics of sleep disorders in critical care nurses: An observational study

AIM/OBJECTIVE

The aim of this study was to determine risk factors and associations between anxiety, depression, stress, and job burnout and describe sleep disorders in critical care nurses.

SETTING

Data were collected in six intensive care units.

METHODS

A descriptive cross-sectional design was used. Multivariate and univariate regressions were used to determine significant risk factors. Significance levels were established at p <0.05. We use Depression Anxiety Stress Scales to determine anxiety, depression, and stress. Work burnout was detected using the Maslach Burnout Inventory scale, and sleep quality was determined by the Pittsburgh Sleep Quality Index.

RESULTS

A total of 140 critical care nurses were included. The female gender was associated with high levels of anxiety (odds ratio [OR] = 3.03; 95% confidence interval [CI] = [1.12-8.23]; p = 0.029), depression (OR = 10.55; 95% CI = [2.17-51.19]; p = 0.003), and stress (OR = 2.87; 95% CI = [1.02-8.07]; p = 0.045). Multivariate regression showed that critical care nurses with intention of leaving were exposed to high levels of anxiety (OR = 3.65; 95% CI = [1.40-9.53]; p = 0.008), depression (OR = 6.79; 95% CI = [2.01-22.95]; p = 0.002), stress [OR = 4.13; 95% CI = [1.49-11.45]; p = 0.006), and burnout (OR = 4.15; 95% CI = [1.63-10.56]; p = 0.003). Sleep quality is influenced by high latency, low duration, the use of medications, and daytime dysfunction.

CONCLUSION

Females were exposed to a higher risk of developing mental health problems such as anxiety, depression, and stress than men. The intention to leave was an independent predictor of anxiety, depression, and stress. Characteristics such as high sleep latency, low duration, use of medications, and daytime dysfunction have a negative impact on sleep quality. Early detection of mental health would allow nursing managers to implement nonpharmacological preventive interventions to improve well-being at work.

Examining the link between intensive care unit nurses' burnout and perceived quality of life: a multicenter cross-sectional study

BACKGROUND

Intensive care unit (ICU) nurses are pivotal in ensuring high-quality care to patients with life-threatening conditions in the healthcare sector. These nurses operate in high-pressure environments that demand constant vigilance, technical proficiency, and emotional resilience. The challenging nature of their work can predispose them to burnout, a syndrome marked by emotional exhaustion, cynicism, and a low sense of personal accomplishment. Therefore, we investigated the relationship between burnout and perceived quality of life (QoL) among ICU nurses.

METHODS

A cross-sectional design was employed, with 265 ICU nurses in the Hail Region, Saudi Arabia, participating in this study. Two self-report scales (23-item Burnout Assessment Tool and 15-item Quality of Life Scale) were used to collect data from March to June 2024. Statistical analysis included descriptive statistics and Pearson correlation coefficients to explore the relationship between burnout levels and QoL dimensions.

RESULTS

The findings indicated a high prevalence of burnout, with 73.2% of nurses reporting high to very high levels of burnout. The overall QoL score was moderate, averaging 64.46 out of 105. Significant negative correlations were observed between burnout and all measured dimensions of QoL (p = 0.01). These dimensions include material and physical well-being (-0.303, p = 0.01), relationships with other people (-0.337, p = 0.01), and personal development (-0.381, p = 0.01).

CONCLUSION

The study underscores a significant inverse relationship between burnout and QoL among ICU nurses. The data highlight the urgent need for targeted interventions to reduce burnout and improve the personal well-being of nurses. This will not only enhance the quality of patient care but also ensure the sustainability of the healthcare system.

CLINICAL TRIAL NUMBER

Not applicable.

Inclusive leadership, self-efficacy, organization-based self-esteem, and intensive care nurses' job performance: A cross-sectional study using structural equation modeling

BACKGROUND

The job performance of intensive care nurses is critical to the treatment and recovery of critically ill patients. Inclusive leadership, self-efficacy and organization-based self-esteem (OBSE) are important psychosocial factors affecting job performance. However, few studies have explored the relationships among these factors in critical care nurses.

AIMS

To examine the impact of inclusive leadership on the job performance of intensive care nurses and to explore the potential mediation through self-efficacy and OBSE.

METHODS

A cross-sectional survey design was employed. Between November and December 2023, a total of 460 intensive care nurses from China completed the survey, which included standard assessments on inclusive leadership, self-efficacy, OBSE, and job performance. Mediation analysis was conducted using structural equation modeling. Indirect effects were evaluated through bootstrapping.

RESULTS

The results indicated significant positive correlations among inclusive leadership, self-efficacy, OBSE, and job performance (all P < 0.01). Inclusive leadership not only directly affected the job performance of intensive care nurses but also influenced it through the partial mediating roles of self-efficacy and OBSE, with the mediating effects accounting for 14.29 % and 30.61 % of the total effect, respectively. Additionally, the analysis found that self-efficacy and OBSE played a chain mediating role in the relationship between inclusive leadership and the job performance, with the mediating effect accounting for 22.45 % of the total effect.

CONCLUSIONS

Inclusive leadership positively predict the job performance of intensive care nurses. Self-efficacy and OBSE act as mediating factors, further explaining how inclusive leadership improves the job performance of intensive care nurses.

IMPLICATIONS FOR CLINICAL PRACTICE

Enhancing inclusive leadership can be achieved through targeted training programs that emphasize open communication, team collaboration, and recognition of diverse perspectives. For example, leadership workshops can include role-playing scenarios that promote active listening and constructive feedback. Furthermore, boosting self-efficacy and OBSE is essential, as these variables significantly mediate the relationship between inclusive leadership and job performance. Encouraging mentorship and providing opportunities for professional development can help nurses build their confidence and organizational identity, ultimately leading to improved performance and patient care outcomes.

Influencing Factors of Nurses' Well-Being in Critical Care During Pandemic Era: A Systematic Review

AIM

To identify factors protecting and hindering the well-being of critical care nurses during the COVID-19 pandemic.

BACKGROUND

The unique work challenges of critical care nurses can undermine their professional and mental well-being; as evidenced by the prevailing literature on burnout, compassion fatigue, and moral distress. The COVID-19 pandemic has seen these professionals on the front lines and has raised many questions about professional well-being. Identifying the factors that protect and hinder the well-being of critical care nurses would help to develop the strategies necessary to reduce worrying phenomena associated with professional malaise.

EVALUATION

A systematic review was conducted using electronic databases including PubMed, CINAHL, Scopus, Cochrane, PsycINFO, and Web on Science.

KEY ISSUES

After full text analysis, 25 papers were included in the current systematic review. Factors influencing the well-being of critical care nurses have been grouped into "Protective" and "Hindering."

CONCLUSIONS

This review shows that critical care nurses' well-being is influenced by factors like personal resilience and supportive work environments, which enhance their experience. Challenges include sociodemographic issues and the COVID-19 pandemic's impact. Addressing these factors is crucial for their well-being and the effectiveness of healthcare systems.

IMPLICATIONS FOR CLINICAL PRACTICE

The well-being of nurses is intricately linked to the quality and security of patient care, ultimately influencing clinical outcomes. This review delves deeply into the multifaceted factors that affect the professional well-being of critical care nurses during the COVID-19 pandemic. Recognizing these elements is critical for directing health policy toward the development of initiatives that bolster healthcare workers' welfare. Prioritizing the professional well-being of nurses is imperative, as it is fundamental in mitigating the increasing inclination towards job turnover, a challenge that is profoundly impacting the healthcare sector.

Burnout among intensivists and critical care fellows in South Korea: Current status and associated factors

Burnout among critical care physicians is an important issue that affects patient care and staff well-being. This study, conducted by the Korean Society of Critical Care Medicine, aimed to investigate the prevalence and associated factors of burnout among intensivists and critical care fellows in South Korea. From May to July 2019, a cross-sectional survey was conducted in 51 hospitals and 79 intensive care units offering subspecialty training in critical care medicine. Invitations were sent by email and text, and responses were collected using NownSurvey and Google Forms. Of the 502 invited participants, 253 responded (response rate: 50.4%). Significant contributing factors of burnout included being in an intensivist position (assistant professor/fellow) (odds ratio [OR], 3.916; 95% confidence interval [CI], 1.485-10.327; p = 0.006), working in a medical ICU (OR, 4.557; 95% CI, 1.745-11.900; p = 0.002), the number of stay-home night calls per month (OR, 1.070; 95% CI, 1.005-1.139; p = 0.034), and recent conflicts with colleagues (OR, 5.344; 95% CI, 1.140-25.051; p = 0.033). Similar factors were found to influence severe levels of burnout. This nationwide study indicates that a significant proportion of critical care physicians in South Korea experience burnout. Strategies to reduce overtime and workplace conflict are imperative to reduce burnout among these physicians and protect their mental health. Future research should explore targeted interventions for these specific factors.

Network of job demands-resources and depressive symptoms in critical care nurses: a nationwide cross-sectional study

BACKGROUND

Critical care nurses are vulnerable to depression, which not only lead to poor well-being and increased turnover intention, but also affect their working performances and organizational productivity as well. Work related factors are important drivers of depressive symptoms. However, the non-liner and multi-directional relationships between job demands-resources and depressive symptoms in critical care nurses has not been adequately analyzed. Understanding these relationships would be helpful for reducing depression, increasing nurses' well-being and retain healthcare forces.

METHODS

This was a cross-sectional study using baseline data from the Nurses' mental health study (NMHS), a prospective cohort study on nurses from 67 tertiary hospitals in 31 province-level administrative regions in China. Only clinical nurses working in the ICU were included (n = 13,745). Data were collected using online questionnaires, and analyzed using network analysis and structural equation model. Job demands (average working hours per week, average number of night shifts per month, paperwork burden and work-life balance), job resources (supervisor support, co-worker support, leader justice, organizational climate satisfaction, work meaning, and career prospect), personal resource (resilience) and depressive symptoms were main variables in the networks, while demographic data and social health (social-emotional support and loneliness) were covariates.

RESULTS

The prevalence of severe, moderately severe, moderate, mild, and none or minimum depressive symptoms in critical care nurses of this study were 1.21, 3.42, 9.76, 42.88, and 42.07% respectively. In the final network, 132 of 210 possible edges (62.8%) were not zero. "Fatigue" had the highest expected influence, followed by "Motor", and "Appetite". Meanwhile, in terms of job demands-resources and personal resources, the node with the highest expected influence was "Supervisor support", followed by "Work meaning" and "Co-worker support". Three bridge variables were identified: "Resilience-adaptation", "Average working hours per week", and "Co-worker support". The final structural equation model basically supported the results of network analysis with an acceptable model-fit (GFI = 0.918, AGFI = 0.896, PCFI = 0.789, PNFI = 0.788, NFI = 0.909, IFI = 0.911, CFI = 0.911, SRMR = 0.040, and RMSEA = 0.064).

CONCLUSIONS

There was a rather strong interconnectedness between depressive symptoms and job demands-resources. Fatigue, motor, and appetite were core depressive symptoms of critical care nurses. Close attention to those symptoms could help recognize depression in critical care nurses. Supervisor support, work meaning, and co-worker support played vital roles as job resources in reducing depression, while negative impact of long average working hours per week were more contagious. Resilience, as personal resources, could help mediate the associations between job demands-resources and depression. In clinical practice, it's recommended for nursing managers to (1) encourage critical care nurses to find their "meaning in work", (2) implement resilience enhancing programs for nurse, (3) build and maintain meaningful relationships with nurses and support them in daily work, and (4) create a harmonious and dedicated working environment where co-workers are willing to help and support each other. Improvements in those modifiable aspects could help reduce risk and prevent exacerbations of depressive symptoms in critical care nurses.

Anxiety and burnout in infectious disease nurses: the role of perceived stress and resilience

BACKGROUND

Nurses serving in infectious disease ward represent a distinct occupational group that has attracted considerable attention following epidemic outbreaks. However, prior to this study, no research had delved into the underlying mechanism linking anxiety to burnout symptoms among infectious disease nurses. This study aimed to explore investigate the association between anxiety and burnout among nurses working in such environments and scrutinized the mediating role of perceived stress and the moderating influence of resilience on the principal relationship.

METHODS

Employing a cross-sectional study using a web-based design, data were collected from 1,579 clinical nurses working in infectious disease ward across 50 hospitals in China. Participants responded to questionnaires assessing anxiety, perceived stress, resilience and burnout. Statistical analyses encompassed descriptive statistics, one-way analyses of variance, independent-samples t-tests, Pearson correlations, and bootstrapping techniques to evaluate the indirect and moderating effects.

RESULTS

The study revealed that 62.13% of the respondents reported high levels of burnout, and 55.92% experienced moderate to high degrees of emotional exhaustion among infectious disease nurses. Significant correlations were observed between anxiety, perceived stress, resilience, and each component of burnout (P < 0.05). Notably, the mediating effect of perceived stress was accounting for 30.61% of the relationship between anxiety and burnout. Simple slope analysis demonstrated that perceived stress significantly predicted emotional exhaustion at both low (B = 0.854, t = 16.586, and P < 0.001) and high (B = 0.498, t = 9.503, and P < 0.001) levels of resilience. The perceived stress and emotional exhaustion were more serious when resilience levels were lower.

CONCLUSION

Anxiety was identified as a critical risk factor for burnout among nurses in infectious disease units. The relationship between anxiety and burnout was markedly affected by the levels of perceived stress and resilience. Specifically, the deleterious impact of perceived stress on burnout was amplified in nurses with diminished resilience relative to those with heightened resilience. Based on these findings, it is imperative to allocate resources for stress management programs and resilience training. Such initiatives would bolster support for nurses in infectious disease wards, ultimately enhancing their job satisfaction and well-being.

Prevalence and the associated factors of burnout among the critical healthcare professionals during the post-pandemic era: a multi-institutional survey in Taiwan with a systematic review of the Asian literatures

BACKGROUND & AIMS

Burnout is a global concern, and critical healthcare professionals have been identified as a high-risk population of burnout. Early identification is crucial, but the prevalence of burnout and its risk factors demonstrate significant geographical variations. This study aims to investigate the prevalence of burnout among critical healthcare professionals and explore potential risk factors during the post-pandemic era in Taiwan.

METHODS

A web-based questionnaire survey was conducted from December 1, 2023, to January 31, 2024, targeting critical healthcare professionals employed in selected medical institutions affiliated with the Chang Gung Memorial Hospital Foundation, one of Taiwan's largest healthcare organizations. Demographic information, the Subjective Happiness Scale (SHS), current work stressors and self-reported general health data were collected. The study utilized the Maslach Burnout Inventory Human Services Survey for Medical Personnel (MBI-MP). Univariate and multivariate logistic regression were employed to investigate the association between risk factors and each burnout subscales. A systematic review of Asian literature concerning burnout among critical care practitioners was also conducted.

RESULTS

In our study, 254 participants were enrolled, with an overall burnout rate of 35.4%. The prevalence of high emotional exhaustion (EE) was 70.9%, high depersonalization (DP) was 56.3%, and low personal accomplishment (PA) was 60.6%. Young, unmarried populations, individuals with limited work experience, longer working hours, and night shifts are potential vulnerable groups susceptible to burnout. The top three stressors identified were excessive workload, the burden of administrative tasks, and a shortage of vacation time. Our systematic review included 20 Asian studies on the same issue, with variable burnout prevalence ranging from 16.3 to 82.1%.

CONCLUSION

The prevalence of burnout was high among critical healthcare professionals in post-pandemic Taiwan, particularly affecting younger, unmarried populations and individuals with limited work experience, longer hours, and more night shifts. The influence of pandemic-related factors has decreased. Regional variations in burnout have been observed across Asia, highlighting the need for further research to identify local risk factors and protect the well-being of professionals and healthcare quality.

Interrelationships of stress, burnout, anxiety, depression, quality of life and suicidality among Chinese residents under Standardized Residency Training: a network analysis

BACKGROUND

Chinese resident physicians confront challenges such as staff shortages and heavy workloads, leading to a heightened prevalence of mental distress. This study aims to investigate the symptom network of stress, burnout, anxiety, depression (SBAD) and adverse personal outcomes in this cohort.

METHODS

From October 2020 to April 2022, 994 physicians were recruited across China through snowball sampling. Stress, burnout, anxiety and depression were assessed using the 10-item Perceived Stress Scale, a two-item burnout questionnaire, Generalized Anxiety Disorder Scale-7 and the Patient Health Questionnaire-9, respectively. Data on adverse personal outcomes (low quality of life [QOL] and suicidal ideation) were collected. We constructed and visualized two networks, calculating expected influence (EI) and bridge EI indices to identify central and bridge symptoms.

RESULTS

In the SBAD network, perceived helplessness was the most central and critical bridge symptom connecting stress and mental distress, with emotional exhaustion identified as the secondary bridge symptom. Perceived helplessness, perceived self-efficacy and emotional exhaustion exhibited the highest negative correlations with QOL. Worthless (PHQ6) and motor (PHQ8) symptoms were strongly correlated with suicidal ideation. The estimated SBAD network showed excellent stability and accuracy.

CONCLUSIONS

Our study emphasizes that perceived helplessness may be a high-priority target for preventing and intervening in mental distress and improving QOL among residents. Burnout transcends workplace problems and is widely connected to depression, anxiety and QOL. Implementing early detection and intervention measures at three levels-the individual physician, health system and professional colleges, and external regulators-is crucial for preventing and alleviating stress and mental distress among residents.

Compulsive ChatGPT usage, anxiety, burnout, and sleep disturbance: A serial mediation model based on stimulus-organism-response perspective

The limited understanding of the detrimental repercussions stemming from the adoption of artificial intelligence, exemplified by ChatGPT, on users' mental health issues underscores the urgency of our current research endeavor. In response to this knowledge gap, our study employs the stimulus-organism-response (SOR) framework and implements a serial mediation model to probe into the impacts of compulsive ChatGPT usage on users' mental health outcomes. This model serves as a powerful analytical lens, allowing us to unravel the relationships between the stimulus (compulsive ChatGPT usage), organism (anxiety and burnout), and response (sleep disturbance). Using a cross-sectional survey design, we collected data from 2602 ChatGPT users in Vietnam via purposive sampling and utilized structural equation modeling to assess the hypothesis model. The findings confirm that compulsive ChatGPT usage directly correlates with heightened anxiety, burnout, and sleep disturbance. Moreover, compulsive usage indirectly contributes to sleep disturbance through anxiety and burnout, demonstrating a significant serial mediation effect. This expanded understanding, derived from a sizable and diverse user base, positions our research at the forefront of unraveling the intricate dynamics between AI adoption and mental well-being.

The Empathetic Involvement of Nurses in the Context of Neuroscience: A Mixed-Methods Study

Background/Objectives: Empathy and emotional regulation (susceptibility and resistance) play an important role in a nurse's well-being and the provision of high-quality care. This phenomenon has not yet been studied in the context of nurses working in neuroscience. This study aimed to explore the perceptions related to empathy among nurses working in neuroscience contexts. Methods: Employing a mixed-methods approach, we conducted an online quantitative survey with 211 nurses working in various neuroscience settings using the Balanced Emotional Empathy Scale (BEES) and 15 online semistructured qualitative interviews to delve deeper into empathetic experiences. The mean and measures of dispersion, such as standard deviation, were used to analyze the quantitative data. Thematic analysis investigated qualitative data, and data triangulation was performed. Results: The quantitative findings revealed no significant differences in empathy or emotional regulation across the different neuroscience settings but highlighted an increase in susceptibility related to young age (under 29) and years of service (first 5 years). The interviews brought to light the challenges nurses face in highly emotional situations and the strategies they employ to manage empathy and maintain professional detachment, such as self-care strategies, awareness development, and team support. One hindering factor is managers. Conclusions: The findings of this study underscore the essential role of empathetic capability in nursing care in neuroscience. The experience of younger nurses and the first 5 years of employment are elements to be considered by managers for burnout risk. Nurses demonstrate susceptibility and resistance and maintain a balance in dealing with high-emotional-stress situations. The implications of these findings are significant and should guide future research and practice in the field of neuroscience nursing.

Unmasking the triad of burnout, absenteeism, and poor sleep among healthcare workers during the third wave of COVID-19 pandemics. Results from the national AMADEUS study

BACKGROUND

Burnout and absenteeism are prevalent among healthcare workers, reflecting prolonged work-related stress and dissatisfaction with their job. Identifying poor sleep as a contributing factor can assist in developing targeted interventions. This study explored the relationship between burnout, absenteeism, and sleep among healthcare workers.

METHODS

A nationwide online cross-sectional study was conducted among healthcare professionals in France during the third wave of COVID-19, from May 2021 to June 2021. Recruitment strategies included outreach through social and professional networks and email invitations. Burnout was assessed using the Maslach Burnout Inventory, absenteeism through self-reported days absent in the preceding 12 months, and sleep quality using the Pittsburgh Sleep Quality Index. The association between burnout, absenteeism, and poor sleep was analyzed using multivariate logistic regression, accounting for individual and professional variables. The study also explored various sleep dimension abnormalities.

RESULTS

Of 10,087 healthcare workers, 55.2 % reported burnout, 20.5 % absenteeism, and 64.8 % poor sleep. Burnout and absenteeism were more frequent in individuals with poor sleep compared to those with good sleep (74.2 % vs. 25.8 % and 75.6 % vs. 24.4 %, respectively). The multivariate analyses confirmed the associations between burnout, absenteeism, and poor sleep (Adjusted Odds Ratio [aOR] = 2.15, 95 % CI [1.97-2.35], p < 0.001; and aOR = 1.49, 95 % CI [1.32-1.67], p < 0.001, respectively).

INTERPRETATION

The study highlighted the intricate relationship between burnout, absenteeism, and poor sleep among healthcare professionals, informing workforce management and policy decisions to foster a supportive work environment and enhance their well-being.

The Italian Validation of the Healthcare Professional Humanization Scale for Nursing

Purpose: The Healthcare Professional Humanization Scale (HUMAS) is a measure of the evaluation of the humanization of care in nursing professions. Despite being validated for the Spanish language, there still needed validation in Italian, which seems essential considering the cultural differences. Aim: We aimed to test the validity and reliability of the HUMAS with an Italian sample of registered nurses. Methods: The present study used cross-sectional data from 300 nurses that completed the survey. The study's main phases were (a) construction of the Italian version; (b) testing and analyzing the psychometric properties of the scale. The exploratory factor analysis and the Content Validity Index (CVI) were performed. Cronbach's alpha and test-retest were used to determine the reliability. Findings: The final Italian version of HUMAS (HUMAS-I) comprised 19 items grouped into five correlated latent factors, accounting for 68.4% of the variance. Additionally, it exhibited a satisfactory Cronbach's alpha for each latent component and an average CVI for the entire scale of 0.68. Conclusions: The HUMAS-I shows acceptable psychometric proprieties as the original Spanish version. Therefore, it could be an advantageous instrument for use in nursing practice and research.