The knowledge, attitude and behavior on the palliative care among neonatal nurses: what can we do.

BACKGROUND: Neonatal nurses should provide timely and high-quality palliative care whenever necessary. It's necessary to investigate the knowledge, attitude and behavior of palliative care among neonatal nurses, to provide references and evidences for clinical palliative care. METHODS: Neonatal intensive care unit (NICU) nurses in a tertiary hospital of China were selected from December 1 to 16, 2022. The palliative care knowledge, attitude and behavior questionnaire was used to evaluate the current situation of palliative nursing knowledge, attitude and behavior of NICU nurses. Univariate analysis and multivariate logistic regression analysis were used to analyze the influencing factors. RESULTS: 122 nurses were finally included. The average score of knowledge in neonatal nurses was 7.68 ± 2.93, the average score of attitude was 26.24 ± 7.11, the score of behavior was 40.55 ± 8.98, the average total score was 74.03 ± 10.17. Spearman correlation indicated that score of knowledge, attitude and behavior of palliative care in neonatal nurses were correlated with the age(r = 0.541), year of work experience(r = 0.622) and professional ranks and titles(r = 0.576) (all P < 0.05). Age (OR = 1.515, 95%CI: 1.204 ~ 1.796), year of work experience (OR = 2.488, 95%CI: 2.003 ~ 2.865) and professional ranks and titles (OR = 2.801, 95%CI: 2.434 ~ 3.155) were the influencing factors of score of knowledge, attitude and behavior of palliative care (all P < 0.05). PUBLIC CONTRIBUTION: NICU nurses have a positive attitude towards palliative care, but the practical behavior of palliative care is less and lack of relevant knowledge. Targeted training should be carried out combined with the current situation of knowledge, attitude and practice of NICU nurses to improve the palliative care ability and quality of NICU nurses.

Performance Evaluation of a Supervised Machine Learning Pain Classification Model Developed by Neonatal Nurses.

BACKGROUND: Early-life pain is associated with adverse neurodevelopmental consequences; and current pain assessment practices are discontinuous, inconsistent, and highly dependent on nurses' availability. Furthermore, facial expressions in commonly used pain assessment tools are not associated with brain-based evidence of pain. PURPOSE: To develop and validate a machine learning (ML) model to classify pain. METHODS: In this retrospective validation study, using a human-centered design for Embedded Machine Learning Solutions approach and the Neonatal Facial Coding System (NFCS), 6 experienced neonatal intensive care unit (NICU) nurses labeled data from randomly assigned iCOPEvid (infant Classification Of Pain Expression video) sequences of 49 neonates undergoing heel lance. NFCS is the only observational pain assessment tool associated with brain-based evidence of pain. A standard 70% training and 30% testing split of the data was used to train and test several ML models. NICU nurses' interrater reliability was evaluated, and NICU nurses' area under the receiver operating characteristic curve (AUC) was compared with the ML models' AUC. RESULTS: Nurses weighted mean interrater reliability was 68% (63%-79%) for NFCS tasks, 77.7% (74%-83%) for pain intensity, and 48.6% (15%-59%) for frame and 78.4% (64%-100%) for video pain classification, with AUC of 0.68. The best performing ML model had 97.7% precision, 98% accuracy, 98.5% recall, and AUC of 0.98. IMPLICATIONS FOR PRACTICE AND RESEARCH: The pain classification ML model AUC far exceeded that of NICU nurses for identifying neonatal pain. These findings will inform the development of a continuous, unbiased, brain-based, nurse-in-the-loop Pain Recognition Automated Monitoring System (PRAMS) for neonates and infants.

An Exaggeration? Reality?: Can ChatGPT Be Used in Neonatal Nursing?

Artificial intelligence (AI) represents a system endowed with the ability to derive meaningful inferences from a diverse array of datasets. Rooted in the advancements of machine learning models, AI has spawned various transformative technologies such as deep learning, natural language processing, computer vision, and robotics. This technological evolution is poised to witness a broadened spectrum of applications across diverse domains, with a particular focus on revolutionizing healthcare services. Noteworthy among these innovations is OpenAI's creation, ChatGPT, which stands out for its profound capabilities in intricate analysis, primarily facilitated through extensive language modeling. In the realm of healthcare, AI applications, including ChatGPT, have showcased promising outcomes, especially in the domain of neonatal nursing. Areas such as pain assessment, feeding processes, and patient status determination have witnessed substantial enhancements through the integration of AI technologies. However, it is crucial to approach the deployment of such applications with a judicious mindset. The accuracy of the underlying data must undergo rigorous validation, and any results lacking a solid foundation in scientific insights should be approached with skepticism. The paramount consideration remains patient safety, necessitating that AI applications, like ChatGPT, undergo thorough scrutiny through controlled and evidence-based studies. Only through such meticulous evaluation can the transformative potential of AI be harnessed responsibly, ensuring its alignment with the highest standards of healthcare practice.

Nurses' Job Burnout and Resilience in Neonatal Intensive Care Units.

PURPOSE: To assess the relationship between job burnout and resilience among nurses working in neonatal intensive care units (NICUs) in Oman. BACKGROUND: NICUs induce a significant amount of stress that predisposes nurses to a substantial degree of burnout. Resilience can play a role in reducing the effects of job burnout. A limited number of studies have examined job burnout and resilience among NICU nurses. METHODS: A cross-sectional survey design was utilized. The Maslach Burnout Inventory was used to assess burnout, and the Brief Resilience Scale was used to assess perceptions of resilience. Pearson correlation was used to assess the relationship between job burnout and resilience. RESULTS: A total of 173 staff nurses participated. Participants reported low levels of emotional exhaustion and depersonalization but moderate levels on the personal accomplishment subscale. Nurses reported moderate levels of resilience. Emotional exhaustion and depersonalization were negatively correlated with resilience, while personal accomplishment was positively correlated with resilience. CONCLUSION: This study demonstrated that enhancing resilience can reduce the effect of burnout among NICU nurses. IMPLICATIONS FOR PRACTICE AND RESEARCH: Enhancing levels of resilience among NICU nurses, in addition to providing adequate managerial support and good collegial relations, is essential to reduce their perceived job burnout.

Barriers to the Implementation of Infant- and Family-Centered Developmental Care From Focus Groups With Neonatal Care Providers.

AIM: Although infant- and family-centered developmental care (IFCDC) is scientifically grounded and offered in many hospitals to some extent, it has not yet been universally implemented as the standard of care. In this article, we aim to identify barriers to the implementation of IFCDC in Belgian neonatal care from the perspective of neonatal care providers. METHODS: We conducted 8 online focus groups with 40 healthcare providers working in neonatal care services. An inductive thematic analysis was carried out by means of Nvivo. RESULTS: The focus groups revealed barriers related to contextual, hospital, and neonatal unit characteristics. Barriers found in the hospital and neonatal unit were related to financing, staffing, infrastructure, access to knowledge/information and learning climate, leadership engagement, and relative priority of IFCDC. Contextual barriers were related to peer pressure and partnerships, newborn/parent needs and resources, external policy, and budgetary incentives. CONCLUSION: Three main barriers to IFCDC implementation have been identified. Resources (staffing, financing, and infrastructure) must be available and aligned with IFCDC standards, knowledge and information have to be accessible and continuously updated, and hospital management should support IFCDC implementation to create an enabling climate, including compatibility with the existing workflow, learning opportunities, and priority setting.

Trauma-Informed Care Education Initiative Explores Impact on Perinatal Nurse Secondary Traumatic Stress and Workforce Challenges.

BACKGROUND: Psychological trauma refers to long-lasting adverse effects on well-being precipitated by the experience of a distressing event or a combination of events. High rates of psychological birth trauma in patients contribute to secondary traumatic stress (STS) in perinatal nurses, creating workplace challenges and resulting in dissatisfaction, apathy, and attrition. Perinatal nurses experience high rates of STS, and researchers have called for a universal standard of trauma-informed care (TIC). However, there is a lack of published results on effectively creating TIC education in this nurse population. METHODS: A pre/posttest design evaluated an online pilot evidence-based practice project addressing a perinatal nurse education initiative on STS and its correlation with nurse attitudes toward TIC. Participants include perinatal nurses in the United States (n = 29). Two scales measured the program's effect on nurses: the Secondary Traumatic Stress Scale (STSS) and the Attitudes Related to Trauma-Informed Care (ARTIC) scale. RESULTS: A paired t test evaluating pre- and postprogram levels of the STSS showed a decrease in STS (t28 = -3.28, P = .003, Cohen's d = 0.609), the ARTIC scale results showed an increased receptiveness to TIC (t28 = 3.8, P < .001, Cohen's d = 0.706], and a not significant correlation was found between pretest STS and ARTIC scores (Spearman' ρ = -0.248, P = .194). CONCLUSION: This program supported a significant reduction in nurses' identification of STS. Future perinatal nurse education can expand to build a standard of TIC that is patient-centered and reduces nurse STS.

The Evidence-Based Practice Process Steps 4, 5, and 6: Integration, Evaluation, and Dissemination.

This is the final column in a series of columns that began with the January/February 2021 issue of Neonatal Network, describing the evidence-based practice (EBP) project. The series has taken the reader through sparking the spirit of inquiry, asking a compelling question, and searching and critically appraising the literature. This column will briefly describe the final three steps: step 4, the integration of evidence with clinical expertise and patient/family preferences; step 5, the evaluation of outcomes of practice changes based on evidence; and step 6, the dissemination of the outcomes of the EBP change.

Neonatal Hypoglycemia.

Neonatal hypoglycemia (NH) is broadly defined as a low plasma glucose concentration that elicits hypoglycemia-induced impaired brain function. To date, no universally accepted threshold (reference range) for plasma glucose levels in newborns has been published, as data consistently indicate that neurologic responses to hypoglycemia differ at various plasma glucose concentrations. Infants at risk for NH include infants of diabetic mothers, small or large for gestational age, and premature infants. Common manifestations include jitteriness, poor feeding, irritability, and encephalopathy. Neurodevelopmental morbidities associated with NH include cognitive and motor delays, cerebral palsy, vision and hearing impairment, and poor school performance. This article offers a timely discussion of the state of the science of NH and recommendations for neonatal providers focused on early identification and disease prevention.

Newborn Screening Has Moved Way Beyond PKU.

Nurses need to understand how clinical genetic and genomic applications affect newborn screening and advocate for parents and newborns.

Targeted Neonatal Echocardiography Performed by Nurse Practitioners in the NICU: Attitudes and Perceptions of the Healthcare Team.

BACKGROUND: Targeted neonatal echocardiography (TNE) and hemodynamic consultation have typically been performed by physicians. The Stollery Children's Hospital neonatal intensive care unit (NICU) expanded their TNE training program to include neonatal nurse practitioners (NNPs), the first in North America. PURPOSE: This study examines the thoughts and perceptions of clinicians about the incorporation of NNPs providing TNE and hemodynamic consultation and investigates key facilitators and challenges for consideration when planning future training, expansion of service in Edmonton, or beyond. METHODS: In this descriptive study using qualitative methodology, purposive sampling was used to invite NICU clinicians to participate. Using a semistructured topic guide, a focus group and 2 individual interviews were conducted. RESULTS: Participants were supportive of NNPs. Advantages included increased access to service, acquisition and retention of skills, provision of patient-centered care, and leveraged interpersonal relationships in the decision-making process. Key aspects of program expansion included climate and culture of the NICU, presence of adequate patient volume, and resources to support training. IMPLICATIONS FOR PRACTICE AND RESEARCH: Support across disciplines and the collaborative working nature of the NICU are key factors in the success of the program's development and implementation. Benefits of having NNPs on the TNE team were clearly expressed. Benefits to the health system included rapid access to hemodynamic information allowing for care based on specific pathophysiology and additional local capacity to perform TNE and reducing demand on other trained providers. Additional research could consider parental views of NNPs performing TNE and hemodynamic consultation as well as the accuracy of diagnosis between the NNPs and physician group.

An evaluation of the capabilities of language models and nurses in providing neonatal clinical decision support.

AIM: To assess the clinical reasoning capabilities of two large language models, ChatGPT-4 and Claude-2.0, compared to those of neonatal nurses during neonatal care scenarios. DESIGN: A cross-sectional study with a comparative evaluation using a survey instrument that included six neonatal intensive care unit clinical scenarios. PARTICIPANTS: 32 neonatal intensive care nurses with 5-10 years of experience working in the neonatal intensive care units of three medical centers. METHODS: Participants responded to 6 written clinical scenarios. Simultaneously, we asked ChatGPT-4 and Claude-2.0 to provide initial assessments and treatment recommendations for the same scenarios. The responses from ChatGPT-4 and Claude-2.0 were then scored by certified neonatal nurse practitioners for accuracy, completeness, and response time. RESULTS: Both models demonstrated capabilities in clinical reasoning for neonatal care, with Claude-2.0 significantly outperforming ChatGPT-4 in clinical accuracy and speed. However, limitations were identified across the cases in diagnostic precision, treatment specificity, and response lag. CONCLUSIONS: While showing promise, current limitations reinforce the need for deep refinement before ChatGPT-4 and Claude-2.0 can be considered for integration into clinical practice. Additional validation of these tools is important to safely leverage this Artificial Intelligence technology for enhancing clinical decision-making. IMPACT: The study provides an understanding of the reasoning accuracy of new Artificial Intelligence models in neonatal clinical care. The current accuracy gaps of ChatGPT-4 and Claude-2.0 need to be addressed prior to clinical usage.

Growing the Neonatal Nurse Practitioner Workforce Through Mentoring: A Scoping Review.

OBJECTIVE: The purpose of this article is to highlight evidence specific to the neonatal nurse practitioner (NNP) workforce related to successful mentoring programs. Specifically, the authors of this article explored recent evidence of mentorship to improve job satisfaction and retention of the NNP workforce. BACKGROUND: NNPs are valuable members of neonatal healthcare team. Because of the aging NNP workforce, methods to recruit, train, mentor, develop, and retain new NNPs are imperative. METHODS: Using a quality appraisal tool from the PRISMA extension for scoping reviews, articles were identified through electronic database searches using search terms related to mentoring, nurse practitioners, recruitment, and retention. Studies published in English between 2013 and 2023 were included. Peer-reviewed quantitative and qualitative articles were synthesized and critically appraised by 4 reviewers. RESULTS: The authors identified 46 articles with a focus on mentoring in nursing of which 12 articles include mentoring for nurse practitioners. Research indicates that mentoring relationships are valuable in many healthcare roles and professions. Evidence is limited indicating the impact of mentoring in the highly specialized role of the NNP. CONCLUSION: Mentoring is an invaluable component of professional nursing and counters incivility while advancing competency, job satisfaction, and retention. Additional research is needed regarding NNP-specific mentoring programs.

Working dilemmas in care for breastfed newborns: An exploratory study in a single center in Taiwan.

BACKGROUND: Clinical medical staff should be aware of and examine the correlation between breastfeeding and neonatal hospitalization. Additional attention should be paid to work dilemmas experienced by the nursing staff caring for newborns to avoid exposing newborns to hospitalization risk. OBJECTIVE: The present study investigated the working dilemmas by neonatal nurses caring for breastfed newborns and risk of newborn hospitalization. METHODS: This hospital-based study in Taiwan surveyed 84 neonatal nurses using a structured questionnaire entitled "Working Dilemmas in Clinical Care for Breastfed Newborns." RESULTS: Collected data were analyzed statistically (descriptive analysis, chi-square test, and t test) using Statistical Package for the Social Sciences (SPSS) software. Neonatal intensive care unit (NICU) staff noted that breastfed newborns showed a high risk of hospitalization and nursery staff highlighted a lack of manpower and time. NICU staff experienced more working dilemmas (117.460±12.260) than nursery staff (87.410±15.820) when caring for breastfed newborns (t = 1.080, P < 0.001). NICU staff reported a higher risk of hospitalization in breastfed newborns and experienced more working dilemmas caring for these patients compared with nursery staff, who reported a lack of manpower and time. CONCLUSION: Our findings highlight the working dilemmas by neonatal nurses and can serve as a foundation for further critical studies.

Compassionate Care: Listening Visits Provided by Neonatal Intensive Care Unit Nurses.

PURPOSE: Although mothers of infants hospitalized in a neonatal intensive care unit (NICU) often experience clinically significant levels of depression symptoms, accessing mental-health treatment may be difficult. NICU mothers need emotional support that is conveniently delivered at the infant's point-of-care by a trusted professional who is knowledgeable about the medical and nursing care in the NICU. Listening Visits are an effective and accessible, nurse-delivered depression intervention, yet little is known about what mothers discuss during these sessions. This analysis of sessions recorded during the randomized controlled trial evaluation of Listening Visits in the NICU provides a glimpse into NICU mothers' concerns and experiences. STUDY DESIGN AND METHODS: This is a secondary, qualitative case analysis of the recorded Listening Visits sessions of four depressed NICU mothers as indicated by a score of 12 or above on the Edinburgh Postnatal Depression Scale. The mothers, who were all White, varied in their economic resources, educational level, availability of support, and infant illness severity. RESULTS: Mothers discussed similar concerns and experiences, often at analogous temporal points in the six Listening Visit sessions, as well as one common concern they voiced throughout: family and friends do not understand what it is like to have an infant in the NICU. CLINICAL IMPLICATIONS: For mildly to moderately depressed mothers of infants hospitalized in the NICU, Listening Visits provide a way for bedside nurses to deliver compassionate care by listening to mothers' concerns and experiences.

Qualitative Study of Nurses' Experiences as They Learned to Provide Neonatal Palliative Care.

OBJECTIVE: To describe the experiences of nurses as they learned to provide palliative care in the NICU. DESIGN: Interpretive description. SETTING: Four NICUs in three Canadian provinces, including one rural center and three tertiary centers. PARTICIPANTS: Nine NICU nurses with 3 to 21 years of experience who provided neonatal palliative care. METHODS: We collected data using online interviews that we recorded and transcribed. We analyzed data using immersion, inductive coding, reflective memoing, and thematic analysis. RESULTS: Participants received little or no formal education in neonatal palliative care and instead learned to provide this care through observation and experience. Participants said it was important to find meaning in their work, which contributed to their motivation to learn to provide high-quality neonatal palliative care. Participants described challenges, including unit cultures in which early palliative care was not embraced. We identified three overarching themes that represented the participants' experiences: Meaning-Making in Neonatal Palliative Care, Challenges in Providing Neonatal Palliative Care, and Ill-Prepared to Provide Neonatal Palliative Care. CONCLUSION: Standardized education may improve the quality of care and nurses' experiences with neonatal palliative care. We recommend designing and evaluating a standardized curriculum on neonatal palliative care.

Implementation of a Nurse-Driven Eat-Sleep-Console (ESC) Treatment Pathway at a Community Hospital for Treatment of Neonatal Opioid Withdrawal Syndrome in an Effort to Improve Short-term Outcomes.

BACKGROUND: The Chandler Regional Medical Center (CRMC) neonatal intensive care unit (NICU) began a phased implementation of Eat-Sleep-Console (ESC) for the management of those at risk for neonatal opioid withdrawal syndrome (NOWS). PURPOSE: The purpose of this initiative is to track short-term outcomes as well as the program's effect on nursing workflow and job performance rating/satisfaction. METHODS: A retrospective review of the ESC implementation process at CRMC from the years 2018-2020. The study consisted of 3 epochs: (1) traditional pharmacologic management; (2) parent-led ESC management; and (3) parent/nurse-led ESC management. Length of stay (LOS), treatment pathway assignment, and proportion of infants treated with pharmacologic agents were compared between epochs. In addition, a survey of NICU nursing staff was distributed to measure nurses' perceptions and attitudes towards the ESC program and the management of infants with NOWS. RESULTS: The proportion of infants treated via ESC increased (0%, 53%, and 100%), with an associated decrease in LOS (18.4, 10.5, and 9.3 days) during each epoch of the study period. Thirty-seven nurses completed the survey, with 94% of nurses reporting being comfortable caring for ESC patients and 89% feeling supported in their ESC nursing assignments, with only 11% stating that caring for ESC patients significantly alters their other nursing care processes. IMPLICATIONS FOR PRACTICE AND RESEARCH: Implementation of an ESC treatment program for infants with NOWS significantly decreased LOS and the proportion of infants treated pharmacologically. This phased implementation process was not associated with self-reported negative nursing perceptions of the program and its treatment goals/outcomes.