NICU Procedures Are Getting Sweeter: Development of a Sucrose Protocol for Neonatal Procedural Pain

2010 ◽  
Vol 29 (5) ◽  
pp. 271-279 ◽  
Author(s):  
Larisa Mokhnach ◽  
Marilyn Anderson ◽  
Rachelle Glorioso ◽  
Katie Loeffler ◽  
Kelly Shinabarger ◽  
...  

Neonates in the neonatal intensive care nursery experience multiple, painful, tissue-damaging procedures daily. Pain among neonates is often underestimated and untreated, producing untoward consequences. A literature review established strong evidence supporting the use of sucrose as an analgesic for minor procedural pain among neonates. A review of unit practices and nurses’ experiential evidence initiated the production of a standardized protocol in our unit at the University of Washington Medical Center NICU in Seattle.Nursing practices surrounding sucrose use differed widely in dose, timing, and patient application. We carefully evaluated evidence documenting the effectiveness as well as the safety of sucrose administration and wrote a protocol and practice standards for our primarily premature patient population. This article describes the development and execution of a standardized, nurse-implemented, sucrose protocol to reduce procedural pain.

2003 ◽  
Vol 22 (3) ◽  
pp. 17-23 ◽  
Author(s):  
Jeanette Lachine Jansen

The death of an infant in a neonatal intensive care unit presents unique challenges to the infant’s family and caregivers. The grieving process may begin before the infant is born and continue for months, even years, after the death. Parents and families often feel isolated as they grieve the loss of a child whom few other people knew. Caregivers may also feel overwhelmed during this time, as they seek to provide decedent care in a sensitive way that will be helpful to the family while grieving themselves. Recognizing the needs of the families and caregivers, the Duke University Medical Center Intensive Care Nursery developed a bereavement program that provides education and assistance to the intensive care nursery staff, who care for the family at the time of death and provide follow-up for the family for up to one year after the death as they grieve the loss of their infant.


2019 ◽  
Author(s):  
Meghana Bastwadkar ◽  
Carolyn McGregor ◽  
S Balaji

BACKGROUND This paper presents a systematic literature review of existing remote health monitoring systems with special reference to neonatal intensive care (NICU). Articles on NICU clinical decision support systems (CDSSs) which used cloud computing and big data analytics were surveyed. OBJECTIVE The aim of this study is to review technologies used to provide NICU CDSS. The literature review highlights the gaps within frameworks providing HAaaS paradigm for big data analytics METHODS Literature searches were performed in Google Scholar, IEEE Digital Library, JMIR Medical Informatics, JMIR Human Factors and JMIR mHealth and only English articles published on and after 2015 were included. The overall search strategy was to retrieve articles that included terms that were related to “health analytics” and “as a service” or “internet of things” / ”IoT” and “neonatal intensive care unit” / ”NICU”. Title and abstracts were reviewed to assess relevance. RESULTS In total, 17 full papers met all criteria and were selected for full review. Results showed that in most cases bedside medical devices like pulse oximeters have been used as the sensor device. Results revealed a great diversity in data acquisition techniques used however in most cases the same physiological data (heart rate, respiratory rate, blood pressure, blood oxygen saturation) was acquired. Results obtained have shown that in most cases data analytics involved data mining classification techniques, fuzzy logic-NICU decision support systems (DSS) etc where as big data analytics involving Artemis cloud data analysis have used CRISP-TDM and STDM temporal data mining technique to support clinical research studies. In most scenarios both real-time and retrospective analytics have been performed. Results reveal that most of the research study has been performed within small and medium sized urban hospitals so there is wide scope for research within rural and remote hospitals with NICU set ups. Results have shown creating a HAaaS approach where data acquisition and data analytics are not tightly coupled remains an open research area. Reviewed articles have described architecture and base technologies for neonatal health monitoring with an IoT approach. CONCLUSIONS The current work supports implementation of the expanded Artemis cloud as a commercial offering to healthcare facilities in Canada and worldwide to provide cloud computing services to critical care. However, no work till date has been completed for low resource setting environment within healthcare facilities in India which results in scope for research. It is observed that all the big data analytics frameworks which have been reviewed in this study have tight coupling of components within the framework, so there is a need for a framework with functional decoupling of components.


Author(s):  
Catherine Larocque ◽  
Wendy E. Peterson ◽  
Janet E. Squires ◽  
Martha Mason-Ward ◽  
Kelli Mayhew ◽  
...  

2021 ◽  
Author(s):  
Hannah Mannering ◽  
Chao Yan ◽  
Yang Gong ◽  
Mhd Wael Alrifai ◽  
Daniel France ◽  
...  

BACKGROUND Health care organizations (HCOs) adopt strategies (eg. physical distancing) to protect clinicians and patients in intensive care units (ICUs) during the COVID-19 pandemic. Many care activities physically performed before the COVID-19 pandemic have transitioned to virtual systems during the pandemic. These transitions can interfere with collaboration structures in the ICU, which may impact clinical outcomes. Understanding the differences can help HCOs identify challenges when transitioning physical collaboration to the virtual setting in the post–COVID-19 era. OBJECTIVE This study aims to leverage network analysis to determine the changes in neonatal ICU (NICU) collaboration structures from the pre– to the intra–COVID-19 era. METHODS In this retrospective study, we applied network analysis to the utilization of electronic health records (EHRs) of 712 critically ill neonates (pre–COVID-19, n=386; intra–COVID-19, n=326, excluding those with COVID-19) admitted to the NICU of Vanderbilt University Medical Center between September 1, 2019, and June 30, 2020, to assess collaboration between clinicians. We characterized pre–COVID-19 as the period of September-December 2019 and intra–COVID-19 as the period of March-June 2020. These 2 groups were compared using patients’ clinical characteristics, including age, sex, race, length of stay (LOS), and discharge dispositions. We leveraged the clinicians’ actions committed to the patients’ EHRs to measure clinician-clinician connections. We characterized a collaboration relationship (tie) between 2 clinicians as actioning EHRs of the same patient within the same day. On defining collaboration relationship, we built pre– and intra–COVID-19 networks. We used 3 sociometric measurements, including eigenvector centrality, eccentricity, and betweenness, to quantify a clinician’s leadership, collaboration difficulty, and broad skill sets in a network, respectively. We assessed the extent to which the eigenvector centrality, eccentricity, and betweenness of clinicians in the 2 networks are statistically different, using Mann-Whitney <i>U</i> tests (95% CI). RESULTS Collaboration difficulty increased from the pre– to intra–COVID-19 periods (median eccentricity: 3 vs 4; <i>P</i>&lt;.001). Nurses had reduced leadership (median eigenvector centrality: 0.183 vs 0.087; <i>P</i>&lt;.001), and neonatologists with broader skill sets cared for more patients in the NICU structure during the pandemic (median betweenness centrality: 0.0001 vs 0.005; <i>P</i>&lt;.001). The pre– and intra–COVID-19 patient groups shared similar distributions in sex (~0 difference), race (4% difference in White, and 3% difference in African American), LOS (interquartile range difference in 1.5 days), and discharge dispositions (~0 difference in home, 2% difference in expired, and 2% difference in others). There were no significant differences in the patient demographics and outcomes between the 2 groups. CONCLUSIONS Management of NICU-admitted patients typically requires multidisciplinary care teams. Understanding collaboration structures can provide fine-grained evidence to potentially refine or optimize existing teamwork in the NICU.


2008 ◽  
Vol 17 (3) ◽  
pp. 84-93
Author(s):  
Kathleen A. VandenBerg ◽  
Erin Sundseth Ross

Abstract Advances in medical care have improved the success of medical interventions in treating high-risk and premature infants, but long-term developmental outcomes are less positive. The neonatal intensive care unit (NICU) setting influences infant brain development and organization, as well as the parent-infant relationship. One advanced-practice role for a speech-language pathologist (SLP) is that of a newborn developmental specialist (NDS). The NDS working in the NICU understands the influence of medical, environmental, and caregiving interactions on the neurologic and neurobehavioral organization of the infant. The NICU setting advanced practice skills are grounded in an individualized, developmentally supportive care model, such as the Newborn Individualized Developmental Care and Assessment Program (NIDCAP). Neurodevelopmental assessment focuses on the competence of the infant. The developmental assessment and intervention strategies are individualized to support the infant's own goal strivings. In this framework, interactions with infants become modified to increase competence and organization. The SLP working in the NICU is in a unique position to facilitate communication between the infant and the parent, as well as between the infant and professional caregivers. The SLP can help the parent interpret and respond appropriately to the infant's communication by focusing on non-verbal stress and stability cues, and by planning all interactions with a goal of co-regulation. Interactions with infants and families in this Model in the NICU have beneficial lifelong implications.


2020 ◽  
Vol 2 (2) ◽  
pp. 28-35
Author(s):  
Siti Nur Ngaisah ◽  
La Ode Abd Rahman

Pendahuluan: Orangtua dengan bayi sakit kritis yang dirawat di NICU memiliki stres emosional dan kecemasan akibat dari hospitalisasi. Kebutuhan setiap orangtua berbeda-beda karena banyak faktor yang memengaruhi kebutuhan tersebut. Keseragaman informasi sangat di butuhkan agar perawatan setelah di rumah dapat dilakukan secara baik guna tumbuh kembang bayi. Tujuan: Memberikan gambaran dan gagasan dari hasil literature review tentang kemungkinan pengembangan sistem informasi keperawatan berbasis mobile elektronik tentang kesehatan anak. Metode: menggunakan studi literatur dalam memilih dan menelaah sepuluh jurnal pilihan keperawatan yang berhubungan dengan penggunaan aplikasi elektronik dalam bidang kesehatan. Hasil: Dari penelusuran literatur jurnal pilihan, didapatkan pemanfaatan E-Health dengan pendekatan mobile elektronik efektif dalam mengurangi kecemasan orangtua dan meningkatkan kualitas pelayanan di NICU


1991 ◽  
Vol 3 (1) ◽  
pp. 47-66 ◽  
Author(s):  
John RG Challis ◽  
Simon C Riley ◽  
Kaiping Yang

Preterm labour, defined as delivery before 37 weeks of completed pregnancy, continues to present a major problem in clinical obstetrics and remains the major contributory factor to the perinatal mortality and morbidity statistics. While it is now possible, with recent advances in neonatal care, to take infants delivered very prematurely and provide them with the lifelines that will ensure their ultimate discharge from the neonatal intensive care nursery, the cost of this form of management – in terms both of health care funds and of emotion – is extraordinarily high. Hence there remains a strong rationale for attempting to understand the underlying biochemistry and physiology of labour in order to develop methods of recognizing the patient in true preterm labour, and of developing better strategies to prevent or to manage this condition. In the best of our neonatal intensive care settings, survival of the infant born at 28–30 weeks’ gestation, or greater than 1500 grams, may be greater than 90%. Thus, the clinical management strategy may be directed more towards sustaining intrauterine life for 4–6 weeks in those patients presenting in preterm labour before this time in order to gain time for intrauterine maturation of these fetuses before they are delivered to the tertiary care NICU setting.


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