Literature DB >> 33415089

Assessment of Healthcare Provider Workload in Neonatal Resuscitation.

Emily C Zehnder1,2, Brenda H Y Law1,2, Georg M Schmölzer1,2.   

Abstract

Objective: Human errors or protocol deviations during neonatal resuscitation are common. Excess workload has been proposed as a contributor to human error during medical tasks. We aim to characterize healthcare providers' perceived workload during neonatal resuscitation. Design: Perceived workload was measured using a multi-dimensional retrospective National Aeronautics and Space Administration Task Load Index (NASA TLX) survey. The NASA TLX collects data on mental, physical, and temporal demand, performance, effort, and frustration. Each section is rated independently by participants on a scale of 0-20 (0 being lowest and 20 being highest). The Raw-TLX score is a composite score of all dimensions and presented on a scale of 0-100. Healthcare providers complete a paper and pencil survey after attending delivery room resuscitations within 3 months. Setting: Level three neonatal intensive care unit at the Royal Alexandra Hospital, Edmonton, AB, Canada. Participants: All neonatal healthcare providers who attended deliveries. Exposure: Participation in the delivery room care of newborns. Measurement: Raw TLX scores as a measure of overall workload and scores for each dimension of workload. Main
Results: During the study period, ~880 neonatal resuscitation events occurred, and a total of 204 surveys were completed. Healthcare providers completed one survey for 179 deliveries, two surveys for 20 deliveries, and three surveys for 5 deliveries. The mean (standard deviation) gestational age was 35 (5) weeks, and the median (interquartile range) birth weight was 2,690 (1,830-3,440) g. Interventions at delivery were (i) stimulation 149 (73%), suction 130 (64%), continuous positive airway pressure 120 (59%), positive pressure ventilation 105 (52%), intubation 33 (16%), chest compression 10 (5%), and epinephrine 4 (2%). The overall median (interquartile range) Raw-TLX was 34 (18-49). The scores varied by dimension with mental demand 10 (5-14), physical demand 4 (1-6), temporal demand 8 (3-14), performance 4 (2-6), effort 8 (4-13), and frustration 4 (1-10). Raw-TLX scores were higher when healthcare providers performed any intervention compared to no intervention [35 (22-49) vs. 8 (6-18), p = 0.0011]; intubation and no intubation was [55 (46-62) vs. 30 (17-46), p = 0.0001], and between performing chest compression vs. no chest compression [55 (49-64) vs. 33 (18-47), p = 0.001].
Conclusion: Perceived workload of neonatal healthcare providers increases during higher acuity deliveries. Healthcare providers' workload during neonatal resuscitation can be measured using NASATLX and was inversely associated with 5-min Apgar score. Future studies assessing healthcare providers' perceived workload during neonatal resuscitation in different settings are warranted.
Copyright © 2020 Zehnder, Law and Schmölzer.

Entities:  

Keywords:  cognitive load; demands; infant; neonatal resuscitation; workload

Year:  2020        PMID: 33415089      PMCID: PMC7784715          DOI: 10.3389/fped.2020.598475

Source DB:  PubMed          Journal:  Front Pediatr        ISSN: 2296-2360            Impact factor:   3.418


  12 in total

1.  Teamwork and quality during neonatal care in the delivery room.

Authors:  E J Thomas; J B Sexton; R E Lasky; R L Helmreich; D S Crandell; J Tyson
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2.  Impact of performance obstacles on intensive care nurses' workload, perceived quality and safety of care, and quality of working life.

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3.  Workload of Team Leaders and Team Members During a Simulated Sepsis Scenario.

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4.  The NASA Task Load Index as a measure of overall workload among neonatal, paediatric and adult intensive care nurses.

Authors:  Heather L Tubbs-Cooley; Constance A Mara; Adam C Carle; Ayse P Gurses
Journal:  Intensive Crit Care Nurs       Date:  2018-02-12       Impact factor: 3.072

5.  Association of Nurse Workload With Missed Nursing Care in the Neonatal Intensive Care Unit.

Authors:  Heather L Tubbs-Cooley; Constance A Mara; Adam C Carle; Barbara A Mark; Rita H Pickler
Journal:  JAMA Pediatr       Date:  2019-01-01       Impact factor: 16.193

6.  Simulation to assess the safety of new healthcare teams and new facilities.

Authors:  Gary L Geis; Brian Pio; Tiffany L Pendergrass; Michael R Moyer; Mary D Patterson
Journal:  Simul Healthc       Date:  2011-06       Impact factor: 1.929

7.  Video recording as a means of evaluating neonatal resuscitation performance.

Authors:  D N Carbine; N N Finer; E Knodel; W Rich
Journal:  Pediatrics       Date:  2000-10       Impact factor: 7.124

8.  The associations of workload, individual and organisational factors on nurses' occupational injuries.

Authors:  Majid Bagheri Hosseinabadi; Narges Khanjani; Siavash Etemadinezhad; Seyed Ehsan Samaei; Mehdi Raadabadi; Maryam Mostafaee
Journal:  J Clin Nurs       Date:  2018-11-08       Impact factor: 3.036

9.  Assessment of workload during pediatric trauma resuscitation.

Authors:  Samantha E Parsons; Elizabeth A Carter; Lauren J Waterhouse; Aleksandra Sarcevic; Karen J O'Connell; Randall S Burd
Journal:  J Trauma Acute Care Surg       Date:  2012-11       Impact factor: 3.313

10.  NASA-TLX Assessment of Surgeon Workload Variation Across Specialties.

Authors:  Bethany R Lowndes; Katherine L Forsyth; Renaldo C Blocker; Patrick G Dean; Mark J Truty; Stephanie F Heller; Shanda Blackmon; M Susan Hallbeck; Heidi Nelson
Journal:  Ann Surg       Date:  2020-04       Impact factor: 12.969

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  1 in total

1.  Effectiveness of simulation-based training for obstetric internal medicine: Impact of cognitive load and emotions on knowledge acquisition and retention.

Authors:  Kelle D Hurd; Meghan Eo Vlasschaert; T Lee Ann Hawkins; Jolene Haws; Julia N Kupis; Irene Wy Ma
Journal:  Obstet Med       Date:  2021-05-12
  1 in total

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