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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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May 2022 List
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Citation List Month
May 2022 List
URL Address
<a href="http://doi.org/10.1002/pne2.12074" target="_blank" rel="noreferrer noopener">http://doi.org/10.1002/pne2.12074</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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"Communicating Lily's Pain": A reflective narrative commentary about co-creating a resource to provoke thinking and change about assessing and managing the pain of children with profound cognitive impairment
Publisher
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Paediatric and Neonatal Pain
Date
A point or period of time associated with an event in the lifecycle of the resource
2022
Subject
The topic of the resource
Children; Co-creation; Cognitive impairment; Narrative; Pain; Pediatrics
Creator
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Carter B; Young R; Munro J
Description
An account of the resource
This paper draws together about 20 years of research work and discovery and the development of a resource about pain assessment and management in children with profound cognitive impairment. The animation tells the story of an imagined child called Lily and the skills her mother uses and the challenges that her mother faces in assessing and managing Lily's pain. The animation is built on stories drawn from qualitative research findings, conversations while in clinical practice and with members of the general public, parent advisers and other sources. Most of the "evidence" came from stories shared by parents and healthcare professionals. This paper draws on some elements of socio-narratology and is predicated on the basis that stories are important and they can act on and with us. By using an animation to tell Lily's story, the intention was to communicate research findings to a wider and more diverse audience than the typical readership of an academic journal. The intention was to act in and on people's consciousness about children's pain and to strengthen relationships and create bonds between clinicians, parents, and children in pain to make their dialog more social, connected, and meaningful. All three of us-the researcher, the writer, and the animator-have been marked and "re-shaped" by our work related to creating Lily; we have learned more about children like Lily and their mothers, and we have learned more about ourselves and our humanity. This animation is still a story in progress, a story 'in the wild', a story (and a resource) we would like you to re-tell and share. The story of Lily's pain aimed to change the lives of parents and children and professionals. Our hope is that you can be part of that change. Copyright © 2022 The Authors. Paediatric and Neonatal Pain published by John Wiley & Sons Ltd.
Identifier
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<a href="http://doi.org/10.1002/pne2.12074" target="_blank" rel="noreferrer noopener">10.1002/pne2.12074</a>
2022
Carter B
Children
Co-creation
cognitive impairment
May 2022 List
Munro J
Narrative
Paediatric and Neonatal Pain
Pain
Pediatrics
Young R
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
October 2021 List
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Citation List Month
October 2021 List
URL Address
<a href="http://doi.org/10.1002/pne2.12060" target="_blank" rel="noreferrer noopener">http://doi.org/10.1002/pne2.12060</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Future roles of artificial intelligence in early pain management of newborns
Publisher
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Paediatric and Neonatal Pain
Date
A point or period of time associated with an event in the lifecycle of the resource
2021
Subject
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neonatal intensive care unit; neonatal pain assessment; neonatal pain prediction; newborn pain management; opioid-based pain management
Creator
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Salekin MS; Mouton PR; Zamzmi G; Patel R; Goldgof D; Kneusel M; Elkins SL; Murray E; Coughlin ME; Maguire D; Ho T; Sun Y
Description
An account of the resource
The advent of increasingly sophisticated medical technology, surgical interventions, and supportive healthcare measures is raising survival probabilities for babies born premature and/or with life-threatening health conditions. In the United States, this trend is associated with greater numbers of neonatal surgeries and higher admission rates into neonatal intensive care units (NICU) for newborns at all birth weights. Following surgery, current pain management in NICU relies primarily on narcotics (opioids) such as morphine and fentanyl (about 100 times more potent than morphine) that lead to a number of complications, including prolonged stays in NICU for opioid withdrawal. In this paper, we review current practices and challenges for pain assessment and treatment in NICU and outline ongoing efforts using Artificial Intelligence (AI) to support pain- and opioid-sparing approaches for newborns in the future. A major focus for these next-generation approaches to NICU-based pain management is proactive pain mitigation (avoidance) aimed at preventing harm to neonates from both postsurgical pain and opioid withdrawal. AI-based frameworks can use single or multiple combinations of continuous objective variables, that is, facial and body movements, crying frequencies, and physiological data (vital signs), to make high-confidence predictions about time-to-pain onset following postsurgical sedation. Such predictions would create a therapeutic window prior to pain onset for mitigation with non-narcotic pharmaceutical and nonpharmaceutical interventions. These emerging AI-based strategies have the potential to minimize or avoid damage to the neonate's body and psyche from postsurgical pain and opioid withdrawal.
Identifier
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<a href="http://doi.org/10.1002/pne2.12060" target="_blank" rel="noreferrer noopener">10.1002/pne2.12060</a>
Rights
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Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
2021
Coughlin ME
Elkins SL
Goldgof D
Ho T
Kneusel M
Maguire D
Mouton PR
Murray E
Neonatal Intensive Care Unit
neonatal pain assessment
neonatal pain prediction
newborn pain management
October 2021 List
opioid-based pain management
Paediatric and Neonatal Pain
Patel R
Salekin MS
Sun Y
Zamzmi G