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DTSTAMP:20240325T185833Z
LOCATION:Salon A-3
DTSTART;TZID=America/Chicago:20240325T113700
DTEND;TZID=America/Chicago:20240325T120000
UID:HFESHCS_2024 International Symposium on Human Factors and Ergonomics i
 n Health Care_sess121_INDLEC282@linklings.com
SUMMARY:Card Sorting Neonatal Huddle Elements: A Mixed Methods Approach
DESCRIPTION:Oral Presentations\n\nCarolina Rodriguez-Paras, Maria Ordoñez 
 Paredes, Madeline Dombroski, Heidi Herrick, and Anne Ades (Children's Hosp
 ital of Philadelphia)\n\nBackground \n\nCongenital anomalies are the secon
 d leading cause of neonatal death in the United States after prematurity, 
 yet neonates with congenital anomalies are an understudied population, esp
 ecially in the delivery room. Newborns with congenital anomalies are a uni
 que population that add complexity to the usual transition of most newborn
 s from in utero to ex utero life. Given this, multidisciplinary interprofe
 ssional teams and specific resuscitation interventions are needed to ensur
 e optimal patient care. The Children’s Hospital of Philadelphia (CHOP) has
  a delivery room, the Special Delivery Unit (SDU), dedicated solely to the
  resuscitation of neonates with congenital anomalies. The SDU is the large
 st unit of its kind, performing more than 500 resuscitations per year. Wit
 hin such a complex environment, it is paramount to understand all the role
 s and responsibilities, as well as the interactions that occur between tea
 m members, and the way information flows. Task analyses enable an in-depth
  understanding of all system elements and interactions within a complex sy
 stem. Task analyses can be divided into several types, including hierarchi
 cal and cognitive. A hierarchical task analysis (HTA) breaks down each dif
 ferent task into subtasks, whereas a cognitive task analysis (CTA) examine
 s the thought process of the person performing the task.  HTA enables the 
 understanding of the tasks necessary to accomplish a specific goal, provid
 ing a detailed breakdown of the tasks, subtasks, and order in which these 
 tasks must be performed. CTA instead focuses on assessment and decision ma
 king.\n\nThe purpose of this project was to describe all tasks necessary f
 or resuscitation of neonates with congenital anomalies, illuminating the c
 omplexity of these resuscitations and highlighting areas of variability. T
 o complete the task analysis, we utilized several diverse sources includin
 g the Neonatal Resuscitation Program (NRP) algorithm for neonatal resuscit
 ation, locally followed optimal care guidelines for the SDU, live and vide
 o recorded delivery room observations, and interviews with subject matter 
 experts and SDU providers. The combination of all these data sources provi
 des a novel approach to creating and developing task analyses. \nThe proje
 ct began as an HTA, but the complexity of the tasks necessitated a combine
 d HTA-CTA to understand decision points where patient assessment dictated 
 task choice and performance.  Incorporating the CTA into the HTA also allo
 ws insight into which tasks may present higher workload levels.\n \nAs an 
 initial step, we developed an HTA-CTA of the NRP algorithm. We then focuse
 d on developing an HTA-CTA for the SDU.  To ensure capture of the complexi
 ty of the system and the environment, initial task analysis data collectio
 n began through direct in person observations of delivery room resuscitati
 ons in the SDU. These observations were augmented through asking providers
  clarifying questions as the resuscitation allowed. The next step focused 
 on video review of delivery room resuscitations which enabled in-depth rev
 iew of specific tasks.  For specific tasks,  especially those involving pr
 eparation of   equipment and medications, subject matter experts from the 
 respiratory and nursing departments were interviewed.. A neonatologist wit
 h expertise in neonatal resuscitation and human factors provided oversight
  to the developing models. The current task analysis consists of 19 tasks,
  and over 262 subtasks. \n\nFuture work will analyze the variability withi
 n specific tasks and will explore how this may be related to different con
 genital anomalies Additionally, the variability within the steps will be i
 nvestigated to propose human factors quality improvement projects to stand
 ardize and improve team performance and patient care. Video review and tim
 estamps will be used to measure variability both qualitatively and quantit
 atively.\n\nThe task analysis is part of a larger body of work performing 
 a work system analysis (WSA) within the SDU. Future work will incorporate 
 the Systems Engineering Initiative for Patient Safety (SEIPS) to better un
 derstand the interactions and emerging properties that occur between the p
 roviders and other systems elements such as technology, task, or the envir
 onment. \n\nApplication\n\nThe combined HTA and CTA can be used within com
 plex settings, such as healthcare, to gain better understanding of task an
 d cognitive load, w and to delineate which roles are responsible for asses
 sment and decision making. This work demonstrates how multiple data source
 s, including subject-matter expert interviews, observations, video review,
  and algorithms, can be used to developed robust system models, not just i
 n healthcare, but in other industries as well. \nThe resulting task analys
 is has several potential applications, including assessing situation aware
 ness and interruptions, flow disruptions, and to optimize workflows. From 
 a systems perspective, the task analysis can also be used to compare the “
 work as done” vs “work as imagined,” where the tasks are reviewed by subje
 ct matter experts and then compared against real life scenarios. \n\nUnder
 standing all the tasks, the roles involved, and the interactions can produ
 ce a systems view that outlines emergent properties of the system. Thus, t
 he task analysis could also be used as a proactive safety tool by identify
 ing potential failure modes and corrective actions to reduce safety concer
 ns. \n\nOverview of Presentation\n\nThis poster will describe the integrat
 ion of a hierarchical task analysis and a cognitive task analysis into a s
 ingle task analysis and describe its application to a novel environment, a
  delivery room dedicated to neonates with congenital anomalies. Furthermor
 e, the posted will demonstrate how diverse data sources can be combined to
  create a robust task analysis.\n\nTrack: Patient Safety Research and Init
 iatives\n\nSession Chair: Joseph Nuamah (Oklahoma State University)
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