Intensive Care Unit Healthcare Research Articles

Burnout among intensive care nurses, physicians and leaders during the COVID-19 pandemic: A national longitudinal study.

Burnout is frequent among intensive care unit (ICU) healthcare professionals and may result in medical errors and absenteeism. The COVID-19 pandemic caused additional strain during working hours and also affected off-duty life. The aims of this study were to survey burnout levels among ICU healthcare professionals during the first year of COVID-19, describe those who reported burnout, and analyse demographic and work-related factors associated with burnout. This was a national prospective longitudinal cohort study of 484 nurses, physicians and leaders working in intensive care units with COVID-19 patients in Norway. Burnout was measured at 6- and 12-month follow-up, after a registration of baseline data during the first months of the COVID epidemic. The Copenhagen Burnout Inventory (CBI), was used (range 0-100), burnout caseness defined as CBI ≥50. Bi- and multivariable logistic regression analyses were performed to examine baseline demographic variables and work-related factors associated with burnout caseness at 12 months. At 6 months, the median CBI score was 17, increasing to 21 at 12 months (p = .037), with nurses accounting for most of the increase. Thirty-two per cent had an increase in score of more than 5, whereas 25% had a decrease of more than 5. Ten per cent reported caseness of burnout at 6 months and 14% at 12 months (n.s.). The participants with burnout caseness were of significantly lower age, had fewer years of experience, reported more previous anxiety and/or depression, more moral distress, less perceived hospital recognition, and more fear of infection in the bivariate analyses. Burnout was the single standing most reported type of psychological distress, and 24 out of 41 (59%) with burnout caseness also reported caseness of anxiety, depression and/or post-traumatic stress disorder (PTSD) symptoms. Multivariate analysis showed statistically significant associations of burnout caseness with fewer years of professional experience (p = .041) and borderline significance of perceived support by leader (p = .049). In Norway, a minority of ICU nurses, physicians and leaders reported burnout 1 year into the pandemic. A majority of those with burnout reported anxiety, depression and/or PTSD symptoms combined. Burnout was associated with less years of professional experience.

Tensions between end-of-life care and organ donation in controlled donation after circulatory death: ICU healthcare professionals experiences

BackgroundThe development of controlled donation after circulatory death (cDCD) is both important and challenging. The tension between end-of-life care and organ donation raises significant ethical issues for healthcare professionals in the intensive care unit (ICU). The aim of this prospective, multicenter, observational study is to better understand ICU physicians’ and nurses’ experiences with cDCD.MethodsIn 32 ICUs in France, ICU physicians and nurses were invited to complete a questionnaire after the death of end-of-life ICU patients identified as potential cDCD donors who had either experienced the withdrawal of life-sustaining therapies alone or with planned organ donation (OD(-) and OD( +) groups). The primary objective was to assess their anxiety (State Anxiety Inventory STAI Y-A) following the death of a potential cDCD donor. Secondary objectives were to explore potential tensions experienced between end-of-life care and organ donation.ResultsTwo hundred six ICU healthcare professionals (79 physicians and 127 nurses) were included in the course of 79 potential cDCD donor situations. STAI Y-A did not differ between the OD(-) and OD( +) groups for either physicians or nurses (STAI Y-A were 34 (27–38) in OD(-) vs. 32 (27–40) in OD( +), p = 0.911, for physicians and 32 (25–37) in OD(-) vs. 39 (26–37) in OD( +), p = 0.875, for nurses). The possibility of organ donation was a factor influencing the WLST decision for nurses only, and a factor influencing the WLST implementation for both nurses and physicians. cDCD experience is perceived positively by ICU healthcare professionals overall.ConclusionscDCD does not increase anxiety in ICU healthcare professionals compared to other situations of WLST. WLST and cDCD procedures could further be improved by supporting professionals in making their intentions clear between end-of-life support and the success of organ donation, and when needed, by enhancing communication between ICU physician and nurses.Trial registrationThis research was registered in ClinicalTrials.gov (Identifier: NCT05041023, September 10, 2021).

Evaluation of the mental health status of intensive care unit healthcare workers at the beginning of COVID-19 pandemic.

During pandemic periods, mental health issues are highly prevalent, particularly among healthcare workers who are at a higher risk of developing psychiatric disorders. The aim of this study is to evaluate the mental health status of the intensive care unit (ICU) healthcare workers, who play a vital role in managing the COVID-19 pandemic, in terms of the quality of sleep, levels of depressive and anxiety symptoms, stress and to determine the factors that affect their mental health. The research was conducted in April 2020 and incorporated a total of 79 participants working in an university hospital ICUs in Turkey. Pittsburgh Sleep Quality Index (PSQI), Depression Anxiety Stress Scale 42 (DASS-42), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI) were applied. Among the participants, 58 individuals comprising 73.4% of the cohort were working in the ICUs, managing patients infected with COVID-19. Those working in ICUs with COVID-19 patients had significantly higher DASS-S, BAI, and BDI scores. Doctors' BDI scores were significantly lower compared to both nurses and other healthcare workers. Participants exhibiting COVID-19 symptoms manifested significantly higher BAI scores in compared to those without such symptoms. Healthcare workers involved in ICUs with COVID-19 patients were more significantly affected psychologically, doctors had lower depressive symptoms as compared to other healthcare workers. In addition, individuals with COVID-19 symptoms demonstrated significantly higher levels of anxiety. The findings of our study emphasize the significance of providing psychological support to healthcare workers throughout pandemics.

HELLO: a protocol for a cluster randomized controlled trial to enhance interpersonal relationships and team cohesion among ICU healthcare professionals

BackgroundMental health symptoms among healthcare professionals (HCP) in intensive care units (ICUs) are a significant concern affecting both HCP well-being and patient care outcomes. Cross-sectional studies among members of the European Society of Intensive Care Medicine (ESICM) report up to 50% burnout rates. Determinants of burnout include communication, team cohesion, psychological support, and well-being promotion. We designed the 'Hello Bundle' intervention to mitigate burnout among ICU-HCPs by fostering positive social interactions and a supportive work environment. This justification synthesizes evidence from social psychology, positive psychology, and healthcare communication research to support the intervention. The 'Hello Bundle' aims to enhance interpersonal relationships, improve team cohesion, and reduce burnout rates. The six components include: Hello campaign posters, email reminders, integrating greetings in morning huddles, hello jars, lead-by-example initiatives, and a daily updated hello board in each ICU. This protocol describes a cluster randomized controlled trial to evaluate the effectiveness of the intervention.MethodsThis protocol describes a cluster randomized controlled trial (RCT) conducted among ESICM-affiliated ICUs, consisting of at least 73 clusters with in average of 50 respondents per cluster, totaling approximately 7300 participants. Intervention clusters will implement the 6-component Hello Bundle between October 14 and November 10, 2024, while control clusters will be wait-listed to receive the intervention in January 2025 after the RCT concludes. Clusters will be matched based on ICU size (fewer or more than 20 beds), region, and average 2023 mortality. The primary outcome is the proportion of HCPs with burnout between intervention and control clusters at the end of the intervention. Secondary outcomes include comparing the following between clusters: (1) number of HCPs with high emotional exhaustion; (2) number with high depersonalization; (3) number with loss of accomplishment; (4) perception of ethical climate (5) satisfaction at work (VAS); (6) professional conflicts; (7) intention to leave the ICU (VAS); (8) patient-centered care rating; (9) family-centered care rating. The last secondary outcome is the comparison of burnout rates before and after the intervention in the intervention cluster. Outcomes will be based on HCP reports collected within four weeks before and after the intervention.DiscussionThis is the first large trial of healthcare communication, social, and positive psychology intervention among ICU-HCPs. It holds the potential to provide valuable insights into effective strategies for addressing burnout in ICU settings, ultimately benefiting both HCPs and patients.Trial registration: This trial was registered on ClinicalTrials.Gov on June 18, 2024. Registration: NCT06453616.

Social needs and healthcare utilization in NICU graduates

ObjectiveUnplanned healthcare utilization after neonatal intensive care unit (NICU) discharge challenges families and healthcare systems. The impact of social needs on post-NICU healthcare utilization is underexplored. Our objective was to identify social needs among NICU graduates and examine associations between social needs and post-NICU healthcare utilization.Study designA prospective cohort design was used to screen for social needs and track healthcare utilization among 112 NICU graduates attending a NICU follow-up clinic (2021–2022). Associations between social needs and healthcare utilization were analyzed using non-parametric statistical tests.ResultsOf 112 patients screened, 20 (18%) had some social need. Infants with social needs experienced statistically significant higher rates of hospitalizations, overall encounters, and missed appointments.ConclusionSocial needs are associated with increased unplanned healthcare utilization and missed appointments. Addressing these needs during NICU follow-up may improve preventative care attendance and reduce unplanned healthcare use, leading to better outcomes for vulnerable infants and cost-savings for healthcare systems.

Factors influencing nurses’ satisfaction to online learning approach: a cross ICU analysis

BackgroundGiven the increasing complexity of illnesses and rapid pace of technological advancements in professional training, it is vital to offer nurses ample opportunities to hone their clinical expertise and skills, particularly in ensuring the delivery of premier medical care. This study aimed to determine the factors and predictors influencing nurses’ satisfaction with adopting mobile learning approaches in intensive care unit healthcare settings. Additionally, it sought to investigate the applicability of the technology acceptance model in explaining their inclinations and validating the measurement scales employed in the research.MethodsThe study employed a cross-sectional survey research design, utilizing a technology acceptance questionnaire and a learning satisfaction questionnaire. The survey was conducted in six intensive care unit departments. A total of 212 participants completed the survey as the primary instrument. Rigorous assessments were conducted to establish the content validity and ensure instrument reliability.ResultsThe findings demonstrated that perceived usefulness was the most influential factor affecting nurses’ intentions to embrace mobile learning approaches, with perceived ease of use emerging as the principal determinant of perceived usefulness.ConclusionsIncorporating mobile learning methodologies is paramount to increasing the calibration of professional nursing education programs. By effectively integrating digital information technology and tools, nursing educators can overcome teaching challenges, deliver innovative clinical nursing education content through mobile learning approaches, and foster optimal development in the field.

Establishing consensus on patient- and family-centered care in adult intensive care units: A Delphi survey

PurposeTo establish consensus between intensive care unit (ICU) experts on concrete patient- and family-centered care statements for adult patients and relatives in the ICU. Materials and methodsWe did a three-round Delphi survey with a panel of ICU health care professionals from 23 ICUs in Denmark. In round 1, participants answered 20 open-ended questions, based on existing evidence. Analysis of their responses generated close-ended statements, which participants primary rated on a five-point-Likert-scale, from very important to not important at all. In rounds 2 and 3., consensus was predefined as ≥75% of participants rating a statement important. ResultsSixty-nine participated: 38 nurses, 24 physicians, and four occupational and physiotherapists. In total 96%, 90% and 72% answered the first, second, and third rounds, respectively.In round 1, participants answers resulted in >3000 statements that were analyzed into 82 condensed statements. After participants rated the statements in round 2 and 3, 47 statements reached consensus as important. ConclusionsThe 47 statements rated to be important included interdisciplinary approaches to systematic information sharing and consultations with patients and family-members, with the aim being to accommodate patients and family-members´ individual needs throughout the ICU stay.

The paradox of workplace violence in the intensive care unit: a focus group study

BackgroundConflicts with patients and relatives occur frequently in intensive care units (ICUs), driven by factors that are intensified by critical illness and its treatments. A majority of ICU healthcare professionals have experienced verbal and/or physical violence. There is a need to understand how healthcare professionals in ICUs experience and manage this workplace violence.MethodsA qualitative descriptive analysis of four hospitals in Sweden was conducted using semi-structured focus-group interviews with ICU healthcare professionals.ResultsA total of 34 participants (14 nurses, 6 physicians and 14 other staff) were interviewed across the four hospitals. The overarching theme: “The paradox of violence in healthcare” illustrated a normalisation of violence in ICU care and indicated a complex association between healthcare professionals regarding violence as an integral aspect of caregiving, while simultaneously identifying themselves as victims of this violence. The healthcare professionals described being poorly prepared and lacking appropriate tools to manage violent situations. The management of violence was therefore mostly based on self-taught skills.ConclusionsThis study contributes to understanding the normalisation of violence in ICU care and gives a possible explanation for its origins. The paradox involves a multifaceted approach that acknowledges and confronts the structural and cultural dimensions of violence in healthcare. Such an approach will lay the foundations for a more sustainable healthcare system.

Knowledge and associated factors of healthcare professionals in detecting patient-ventilator asynchrony using waveform analysis at intensive care units of the federal public hospitals in Addis Ababa, Ethiopia, 2023

BackgroundThe interaction between the patient and the ventilator is often disturbed, resulting in patient-ventilator asynchrony (PVA). Asynchrony can lead to respiratory failure, increased artificial ventilation time, prolonged hospitalization, and escalated healthcare costs. Professionals’ knowledge regarding waveform analysis has significant implications for improving patient outcomes and minimizing ventilation-related adverse events. Studies investigating the knowledge of healthcare professionals on patient-ventilator asynchrony and its associated factors in the Ethiopian context are limited. Therefore, this study aimed to assess the knowledge of healthcare professionals about using waveform analysis to detect asynchrony.MethodsA multicenter cross-sectional study was conducted on 237 healthcare professionals (HCPs) working in the intensive care units (ICUs) of federal public hospitals in Addis Ababa, Ethiopia, from December 2022 to May 2023. The data were collected using a structured and pretested interviewer-administered questionnaire. Then, the collected data were cleaned, coded, and entered into Epi data V-4.2.2 and exported to SPSS V-27 for analysis. After description, associations were analyzed using binary logistic regression. Variables with a P-value of < 0.25 in the bivariable analysis were transferred to the multivariable analysis. Statistical significance was declared using 95% confidence intervals, and the strengths of associations were reported using adjusted odds ratios (AORs).ResultsA total of 237 HCPs participated in the study with a response rate of 100%. Half (49.8%) of the participants were females. The mean age of the participants was 29 years (SD = 3.57). Overall, 10.5% (95% CI: 6.9–15.2) of the participants had good knowledge of detecting PVA using waveform analysis. In the logistic regression, the number of MV-specific trainings and the training site had a statistically significant association with knowledge of HCPs. HCPs who attended more frequent MV training were more likely to have good knowledge than their counterparts [AOR = 6.88 (95% CI: 2.61–15.45)]. Additionally, the odds of good knowledge among professionals who attended offsite training were 2.6 times higher than those among professionals trained onsite [AOR = 2.63 (95% CI: 1.36–7.98)].ConclusionThe knowledge of ICU healthcare professionals about the identification of PVA using waveform analysis is low. In addition, the study also showed that attending offsite MV training and repeated MV training sessions were independently associated with good knowledge. Consequently, the study findings magnify the relevance of providing frequent and specific training sessions focused on waveform analysis to boost the knowledge of HCPs.

The effect of oral motor intervention with different initiation times to improve feeding outcomes in preterm infants: protocol for a single-blind, randomized controlled trial

BackgroundPremature infants commonly encounter difficulties with oral feeding, a complication that extends hospital stays, affects infants’ quality of life, and imposes substantial burdens on families and society. Enhancing preterm infants’ oral feeding skills and facilitating their transition from parenteral or nasal feeding to full oral feeding pose challenges for neonatal intensive care unit (NICU) healthcare professionals. Research indicates that oral motor interventions (OMIs) can enhance preterm infants’ oral feeding capabilities and expedite the transition from feeding initiation to full oral feeding. Nonetheless, the most suitable timing for commencing these interventions remains uncertain.MethodsThis is a single-blind, randomized controlled trial. Preterm with a gestational age between 29+0 to 34+6 weeks will be eligible for the study. These infants will be randomized and allocated to one of two groups, both of which will receive the OMIs. The intervention commences once the infant begins milk intake during the early OMIs. Additionally, in the late OMIs group, the intervention will initiate 48 h after discontinuing nasal continuous positive airway pressure.DiscussionOMIs encompass non-nutritive sucking and artificial oral stimulation techniques. These techniques target the lips, jaw, muscles, or tongue of premature infants, aiming to facilitate the shift from tube feeding to oral feeding. The primary objective is to determine the ideal intervention timing that fosters the development of oral feeding skills and ensures a seamless transition from parenteral or nasal feeding to full oral feeding among preterm infants. Furthermore, this study might yield insights into the long-term effects of OMIs on the growth and neurodevelopmental outcomes of preterm infants. Such insights could bear substantial significance for the quality of survival among preterm infants and the societal burden imposed by preterm birth.Trial registrationchictr.org.cn ChiCTR2300076721. Registered on October 17, 2023.

A machine learning model for the early diagnosis of bloodstream infection in patients admitted to the pediatric intensive care unit.

Bloodstream infection (BSI) is associated with increased morbidity and mortality in the pediatric intensive care unit (PICU) and high healthcare costs. Early detection and appropriate treatment of BSI may improve patient's outcome. Data on machine-learning models to predict BSI in pediatric patients are limited and neither study included time series data. We aimed to develop a machine learning model to predict an early diagnosis of BSI in patients admitted to the PICU. This was a retrospective cohort study of patients who had at least one positive blood culture result during stay at a PICU of a tertiary-care university hospital, from January 1st to December 31st 2019. Patients with positive blood culture results with growth of contaminants and those with incomplete data were excluded. Models were developed using demographic, clinical and laboratory data collected from the electronic medical record. Laboratory data (complete blood cell counts with differential and C-reactive protein) and vital signs (heart rate, respiratory rate, blood pressure, temperature, oxygen saturation) were obtained 72 hours before and on the day of blood culture collection. A total of 8816 data from 76 patients were processed by the models. The machine committee was the best-performing model, showing accuracy of 99.33%, precision of 98.89%, sensitivity of 100% and specificity of 98.46%. Hence, we developed a model using demographic, clinical and laboratory data collected on a routine basis that was able to detect BSI with excellent accuracy and precision, and high sensitivity and specificity. The inclusion of vital signs and laboratory data variation over time allowed the model to identify temporal changes that could be suggestive of the diagnosis of BSI. Our model might help the medical team in clinical-decision making by creating an alert in the electronic medical record, which may allow early antimicrobial initiation and better outcomes.

A data-driven combined prediction method for the demand for intensive care unit healthcare resources in public health emergencies

BackgroundPublic health emergencies are characterized by uncertainty, rapid transmission, a large number of cases, a high rate of critical illness, and a high case fatality rate. The intensive care unit (ICU) is the “last line of defense” for saving lives. And ICU resources play a critical role in the treatment of critical illness and combating public health emergencies.ObjectiveThis study estimates the demand for ICU healthcare resources based on an accurate prediction of the surge in the number of critically ill patients in the short term. The aim is to provide hospitals with a basis for scientific decision-making, to improve rescue efficiency, and to avoid excessive costs due to overly large resource reserves.MethodsA demand forecasting method for ICU healthcare resources is proposed based on the number of current confirmed cases. The number of current confirmed cases is estimated using a bilateral long-short-term memory and genetic algorithm support vector regression (BILSTM-GASVR) combined prediction model. Based on this, this paper constructs demand forecasting models for ICU healthcare workers and healthcare material resources to more accurately understand the patterns of changes in the demand for ICU healthcare resources and more precisely meet the treatment needs of critically ill patients.ResultsData on the number of COVID-19-infected cases in Shanghai between January 20, 2020, and September 24, 2022, is used to perform a numerical example analysis. Compared to individual prediction models (GASVR, LSTM, BILSTM and Informer), the combined prediction model BILSTM-GASVR produced results that are closer to the real values. The demand forecasting results for ICU healthcare resources showed that the first (ICU human resources) and third (medical equipment resources) categories did not require replenishment during the early stages but experienced a lag in replenishment when shortages occurred during the peak period. The second category (drug resources) is consumed rapidly in the early stages and required earlier replenishment, but replenishment is timelier compared to the first and third categories. However, replenishment is needed throughout the course of the epidemic.ConclusionThe first category of resources (human resources) requires long-term planning and the deployment of emergency expansion measures. The second category of resources (drugs) is suitable for the combination of dynamic physical reserves in healthcare institutions with the production capacity reserves of corporations. The third category of resources (medical equipment) is more dependent on the physical reserves in healthcare institutions, but care must be taken to strike a balance between normalcy and emergencies.

IoT Based ICU Healthcare: Optimizing Patient Monitoring and Treatment with Advanced Algorithms

In the realm of IoT-based Intensive Care Unit (ICU) healthcare, the quest for precision and reliability in patient monitoring and treatment optimization is paramount. This study delves into the realm of advanced algorithms, particularly focusing on the Pelican Optimization Algorithm Long Short-Term Memory (POA-LSTM), known for its remarkable accuracy rates exceeding 95%. The POA-LSTM algorithm, fine-tuned through the Pelican Optimization Algorithm, emerges as a beacon of accuracy in ICU healthcare. By optimizing hyperparameters and leveraging the Pelican Optimization Algorithm's optimization prowess, POA-LSTM surpasses industry standards, offering unparalleled precision and recall rates. Its ability to make informed predictions and provide real-time insights significantly enhances the quality of patient care and clinical decision-making in ICU settings. Additionally, the study explores Context-Oriented Attention LSTM (COA-LSTM) and Particle Swarm Optimization Long Short-Term Memory (PSO-LSTM) algorithms, each contributing unique strengths to the landscape of IoT-based ICU healthcare. COA-LSTM's attention mechanism and PSO-LSTM's hyperparameter optimization further enrich the capabilities of predictive modeling and anomaly detection in critical care scenarios. Through the integration of these advanced algorithms, healthcare providers can harness the power of data-driven insights to revolutionize ICU healthcare, ensuring optimal patient outcomes and advancing the frontier of medical care in the digital age.

Inflammaging in Multidrug-Resistant Sepsis of Geriatric ICU Patients and Healthcare Challenges.

Multidrug-resistant sepsis (MDR) is a pressing concern in intensive care unit (ICU) settings, specifically among geriatric patients who experience age-related immune system changes and comorbidities. The aim of this review is to explore the clinical impact of MDR sepsis in geriatric ICU patients and shed light on healthcare challenges associated with its management. We conducted a comprehensive literature search using the National Center for Biotechnology Information (NCBI) and Google Scholar search engines. Our search incorporated keywords such as "multidrug-resistant sepsis" OR "MDR sepsis", "geriatric ICU patients" OR "elderly ICU patients", and "complications", "healthcare burdens", "diagnostic challenges", and "healthcare challenges" associated with MDR sepsis in "ICU patients" and "geriatric/elderly ICU patients". This review explores the specific risk factors contributing to MDR sepsis, the complexities of diagnostic challenges, and the healthcare burden faced by elderly ICU patients. Notably, the elderly population bears a higher burden of MDR sepsis (57.5%), influenced by various factors, including comorbidities, immunosuppression, age-related immune changes, and resource-limited ICU settings. Furthermore, sepsis imposes a significant economic burden on healthcare systems, with annual costs exceeding $27 billion in the USA. These findings underscore the urgency of addressing MDR sepsis in geriatric ICU patients and the need for tailored interventions to improve outcomes and reduce healthcare costs.

The impact of COVID-19 workload on psychological distress amongst Canadian intensive care unit healthcare workers during the 1st wave of the COVID-19 pandemic: A longitudinal cohort study.

Intensive care unit healthcare workers (ICU HCW) are at risk of mental health disorders during emerging disease outbreaks. Numerous cross-sectional studies have reported psychological distress, anxiety, and depression amongst ICU HCW during the COVID-19 pandemic. However, few studies have followed HCW longitudinally, and none of these have examined the association between COVID-19 workload and mental health. We conducted a longitudinal cohort study of 309 Canadian ICU HCW from April 2020 to August 2020, during the 1st wave of the COVID-19 pandemic. Psychological distress was assessed using the General Health Questionnaire 12-item scale (GHQ-12) at 3 timepoints: during the acceleration phase of the 1st wave (T1), the deceleration phase of the 1st wave (T2), and after the 1st wave had passed (T3). Clinically relevant psychological distress, defined as a GHQ-12 score ≥ 3, was identified in 64.7% of participants at T1, 41.0% at T2, and 34.6% at T3. Psychological distress was not associated with COVID-19 workload at T1. At T2, psychological distress was associated with the number of COVID-19 patients in the ICU (odds ratio [OR]: 1.06, 95% confidence interval [CI]: 1.00, 1.13) while at T3, when COVID-19 patient numbers were low, it was associated with the number of weekly hospital shifts with COVID-19 exposure (OR: 1.33, 95% CI: 1.09, 1.64). When analyzed longitudinally in a mixed effects model, pandemic timepoint was a stronger predictor of psychological distress (OR: 0.24, 95% CI: 0.15, 0.40 for T2 and OR: 0.16, 95% CI: 0.09, 0.27 for T3) than COVID-19 workload. Participants who showed persistent psychological distress at T3 were compared with those who showed recovery at T3. Persistent psychological distress was associated with a higher number of weekly shifts with COVID-19 exposure (OR: 1.97, 95% CI:1.33, 3.09) but not with a higher number of COVID-19 patients in the ICU (OR: 0.86, 95% CI: 0.76, 0.95). In summary, clinically relevant psychological distress was observed in a majority of ICU HCW during the acceleration phase of the 1st wave of the COVID-19 pandemic but decreased rapidly as the 1st wave progressed. Persistent psychological distress was associated with working more weekly shifts with COVID-19 exposure but not with higher numbers of COVID-19 patients in the ICU. In future emerging disease outbreaks, minimizing shifts with direct disease exposure may help alleviate symptoms for individuals with persistent psychological distress.

Rapid genomic sequencing for genetic disease diagnosis and therapy in intensive care units: a review.

Single locus (Mendelian) diseases are a leading cause of childhood hospitalization, intensive care unit (ICU) admission, mortality, and healthcare cost. Rapid genome sequencing (RGS), ultra-rapid genome sequencing (URGS), and rapid exome sequencing (RES) are diagnostic tests for genetic diseases for ICU patients. In 44 studies of children in ICUs with diseases of unknown etiology, 37% received a genetic diagnosis, 26% had consequent changes in management, and net healthcare costs were reduced by $14,265 per child tested by URGS, RGS, or RES. URGS outperformed RGS and RES with faster time to diagnosis, and higher rate of diagnosis and clinical utility. Diagnostic and clinical outcomes will improve as methods evolve, costs decrease, and testing is implemented within precision medicine delivery systems attuned to ICU needs. URGS, RGS, and RES are currently performed in <5% of the ~200,000 children likely to benefit annually due to lack of payor coverage, inadequate reimbursement, hospital policies, hospitalist unfamiliarity, under-recognition of possible genetic diseases, and current formatting as tests rather than as a rapid precision medicine delivery system. The gap between actual and optimal outcomes in children in ICUs is currently increasing since expanded use of URGS, RGS, and RES lags growth in those likely to benefit through new therapies. There is sufficient evidence to conclude that URGS, RGS, or RES should be considered in all children with diseases of uncertain etiology at ICU admission. Minimally, diagnostic URGS, RGS, or RES should be ordered early during admissions of critically ill infants and children with suspected genetic diseases.

Knowledge, Attitudes, Willingness, and Associated Factors to Organ Donation Among Intensive Care Unit Health Care Workers: Findings of a Cross-Sectional Study

The lack of donor organs is a major barrier to the advancement of organ transplantation. This study aimed to understand the current status of knowledge, attitudes, and willingness to donate organs among intensive care unit (ICU) health care workers and analyzed the influencing factors to provide a scientific basis for improving the situation of a serious imbalance between the ratio of organ supply and demand. From November 2021 to March 2022, 160 ICU health care workers from 3 level 3A hospitals in Huzhou City, Zhejiang Province, China were chosen as subjects by the cluster sampling method. A cross-sectional study of the participants was carried out using a general information questionnaire, Organ Donation Knowledge Scale, Organ Donation Attitude Scale, and Organ Donation Willingness Scale. The determinants of ICU health care workers' knowledge, attitudes, and willingness toward organ donation were examined using multiple linear regression analysis. A total of 150 ICU health care workers completed the survey within the prescribed time, and the recovery rate of this questionnaire was 93.75%. The score on the Organ Donation Knowledge Scale was 7 (5, 7) points, and the full score was 10 points. The score on the Organ Donation Attitude Scale was (3.87 ± 0.93), and the full score was 7. The Organ Donation Willingness Scale score was 2 (2, 3) out of 5. The results of the multiple linear regression analysis revealed that several factors significantly influenced the score of organ donation knowledge. These factors were identified as the professional title and persuasive experience related to organ donation. Additionally, the score of organ donation attitude was found to be influenced primarily by the persuasive experience of organ donation. Furthermore, the score of organ donation willingness was influenced by 3 main factors: marital status, professional title, and persuasive experience in the context of organ donation. Although the level of ICU health care workers' knowledge and attitudes toward organ donation was above the median level, they still needed to be improved. The current status of ICU health care workers' desire to donate organs is not optimistic; thus, relevant departments should take specific actions to improve the situation.

End-of-life decision-making in the emergency department and intensive care unit: Health professionals' perspectives on and knowledge of the law in Queensland.

To investigate ED and intensive care unit healthcare professionals' perspectives and knowledge of the law that underpins end-of-life decision-making in Queensland, Australia. An online survey with questions about perspectives, perceived, and actual, knowledge of the law was distributed by the professional organisations of medical practitioners, nurses and social workers who work in Queensland EDs and intensive care units. The survey responses of 126 healthcare professionals were included in the final analysis. Most respondents agreed that the law was relevant to end-of-life decision-making, but that clinician and family consensus mattered more than following the law. Generally, doctors' legal knowledge was higher than nurses'; however, there were significant gaps in the knowledge of all respondents about the operation of advance health directives in Queensland. The legal framework that supports end-of-life decision-making for adults who lack decision-making capacity has been in place for more than two decades. Despite frequently being involved in making or enacting these decisions, gaps in the legal knowledge of healthcare professionals who work in EDs and intensive care units in Queensland are evident. Further research to better understand how to improve knowledge and application of the law is warranted.

ICU Bridge Program: Working with staff towards no family members feeling like "the elephant in the room"

The intensive care unit (ICU) provides specialized care to critically ill patients. Given the traumatic nature of critical illness and its treatments, up to 75% of family members of ICU decedents and survivors experience long-term psychological consequences, termed post-intensive care syndrome family (PICS-F). Anxiety, PTSD, and depression are common manifestations that significantly impact families’ quality of life and the recovery of those dependent on their caregiving. Although PICS-F can be mitigated by engagement with ICU staff, critical care workers are at risk of burnout and requesting closer liaisons with families is unfeasible. Bridging visitors and the ICU health care team would ensure that family members never feel like “the elephant in the room”.The ICU Bridge Program (ICUBP) is a unique volunteering and shadowing initiative designed and run by university students. Bridge Program volunteers are assigned to hospital ICUs in Montreal to be the first point of contact for visitors. This program addresses PICS-F by humanizing the ICU experience through compassionate human contact, continuous support, and an open line of communication. The diverse applicants are carefully selected and trained to maximize soft skills, such as emotional intelligence and active listening, which ensures that families feel welcome and understood in this tense environment. Furthermore, the ICUBP’s self-sufficient structure off-loads administrative responsibilities from resource-constrained hospitals and makes its implementation feasible and cost-efficient. By continuously monitoring its effect on patients, families, and staff, the ICUBP aims to improve and expand its contribution to whole-person care in the ICU.

INTEGRATING HEART RATE VARIABILITY AND PSYCHOMETRIC ASSESSMENTS TO EVALUATE STRESS AND BURNOUT IN ICU NURSING STAFF: A PILOT STUDY

Background: Intensive Care Units (ICUs) are recognized as highly demanding environments that significantly contribute to stress and burnout among nursing staff. Despite increasing concern over burnout in healthcare, the relationship between physiological stress indicators, such as Heart Rate Variability (HRV), and psychometric assessments has not been thoroughly explored in this setting. Objective: This pilot study aimed to evaluate the relationship between HRV metrics and psychometric assessments of stress and anxiety in ICU nursing staff. Additionally, it explored the influence of shift type, shift duration, demographic factors, and lifestyle habits on these stress indicators. Methods: An observational cross-sectional pilot study was conducted with 24 ICU healthcare professionals at a University Hospital in Madrid, Spain. HRV data were collected under controlled conditions, with measurements taken at the beginning and end of shifts. Psychometric assessments were conducted using the State-Trait Anxiety Inventory (STAI), Perceived Stress Scale (PSS-14), Nursing Stress Scale (NSS) and a Visual Analogue Scale for Stress (VASS). Non-parametric statistical tests were used to analyze correlations between HRV metrics, psychometric scores, and demographic/lifestyle variables. Results: Significant negative correlations were observed between HRV metrics and perceived stress levels, particularly between the Low-Frequency to High-Frequency (LF/HF) ratio and stress measures. Night and extended shifts were associated with elevated stress, as indicated by lower HRV and higher psychometric stress scores. These findings suggest that shift type and duration significantly influence stress levels in ICU nursing staff. Conclusion: This pilot study highlights the potential of HRV as an objective measure of stress in ICU nursing staff, with significant correlations observed between HRV metrics and psychometric assessments. The findings suggest that HRV could be a valuable tool for monitoring stress in real time and identifying individuals at risk of burnout. However, further research with larger samples and a longitudinal approach is needed to validate these results and explore their implications for occupational health practices in ICU settings.