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BMC Medical Informatics and Decision Making
Published in: BMC Medical Informatics and Decision Making 1/2023

Open Access 01-12-2023 | Research

Development, implementation, and evaluation of neonatal thermoregulation decision support web application

Authors: Raziyeh Beykmirza, Elahe Rastkar Mehrabani, Maryam Hashemi, Maryam Mahdizade Shahri, Reza Negarandeh, Maryam Varzeshnejad

Published in: BMC Medical Informatics and Decision Making | Issue 1/2023

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Abstract

Objectives

Thermoregulation is important for all age groups, and in neonates, it is considered a crucial event to adapt to extrauterine life. Therefore, using systems that provide frequent reminders in different ways in the field of thermoregulation can help thermal stability in neonates. The present study aimed to develop, implement, and evaluate a neonatal thermoregulation decision support system (DSS) as a web application.

Methods

The present research was a multi-method study because it included the three phases of development, implementation, and evaluation of the neonatal thermoregulation decision support web application. In the system designing phase, the waterfall model is used. The second and third phases of the study, implementation, and evaluation, were conducted as a quasi-experimental study.

Results

The results of this study were presented in two parts: the developed web application, and the results of the evaluation of the web application. The results of the statistical tests revealed that the use of the web application had a positive and significant effect on both the adjustment of the temperature of the incubator (maintaining the neutral temperature) and the maintenance of the temperature of the neonate’s body (p = 0.000).

Conclusions

These results indicate that a nurse’s sensitization and guidance with a neonatal thermoregulation decision support system can help to effectively neonate thermoregulation and the nurse has brought the temperature care close to the standard care based on the conditions of each neonate.
Appendix
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Literature
1.
Lubkowska A, Szymański S, Chudecka M. Surface body temperature of full-term healthy newborns immediately after Birth—Pilot study. Int J Environ Res Public Health. 2019;16(8):1312.CrossRefPubMedPubMedCentral
2.
Madhvi P, Wickremasinghe R, Jayasooriya K, Nawarathne N, Ranaweera R. Mothers’ knowledge and practices on thermoregulation of neonates in SriLanka. EuropeanInternational J Appl Sci Technol. 2014;1(4):55–69.
3.
Ringer SA. Core concepts: thermoregulation in the newborn, part II: prevention of aberrant body temperature. NeoReviews. 2013;14(5):e221–e6.CrossRef
4.
Perez A, Van der Meer F, Singer D. Target body temperature in very low birth weight infants: clinical consensus in place of scientific evidence. Front Pead. 2019;7:227.CrossRef
5.
Verklan MT, Walden M, Forest S. Core curriculum for neonatal intensive care nursing e-book. Elsevier Health Sciences; 2020.
6.
Moniaci VK, Bellflower B. NANN’s Thermoregulation in the care of Infants Guideline for Practice Executive Summary. Adv Neonatal Care. 2021;21(5):340.CrossRefPubMed
7.
Chandra Shekar M, Williams S. A study to assess the knowledge and practice of staff nurses regarding Thermoregulation of Neonates selected hospital at Mysuru. Asian J Nurs Educ Res. 2018;8(1):94–8.CrossRef
8.
Lei D, Tan K, Malhotra A. Temperature monitoring Devices in Neonates. Front Pead. 2021:890.
9.
Knobel-Dail RB. Role of effective thermoregulation in premature neonates. Res Rep Neonatology. 2014;4:147–56.
10.
Raghunathan K, McKenna L, Peddle M. Use of academic electronic medical records in nurse education: a scoping review. Nurse Educ Today. 2021;101:104889.CrossRefPubMed
11.
Muro N, Larburu N, Torres J, Kerexeta J, Artola G, Arrue M, et al. editors. Architecture for a multimodal and domain-independent clinical decision support system software development kit. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2019: IEEE.
12.
Zikos D, DeLellis N. CDSS-RM: a clinical decision support system reference model. BMC Med Res Methodol. 2018;18(1):1–14.CrossRef
13.
Plebani M, Aita A, Padoan A, Sciacovelli L. Decision support and patient safety. Clin Lab Med. 2019;39(2):231–44.CrossRefPubMed
14.
Abdellatif A, Bouaud J, Nghiem D, Lafuente-Lafuente C, Belmin J, Seroussi B. Clinical decision support systems in nursing homes: a scoping review. Digit Personalized Health Med. 2020:542–6.
15.
Chuang Y-H, Lai F-C, Chang C-C, Wan H-T. Effects of a skill demonstration video delivered by smartphone on facilitating nursing students’ skill competencies and self-confidence: a randomized controlled trial study. Nurse Educ Today. 2018;66:63–8.CrossRefPubMed
16.
Saraswasta IWG, Hariyati RTS. A systematic review of the implementation of electronic nursing documentation toward patient safety. Enfermería Clínica. 2021;31:205–S9.CrossRef
17.
Mills S. Electronic health records and use of clinical decision support. Crit Care Nurs Clin. 2019;31(2):125–31.CrossRef
18.
Peffers K, Tuunanen T, Rothenberger MA, Chatterjee S. A design science research methodology for information systems research. J Manage Inform Syst. 2007;24(3):45–77.CrossRef
19.
Hu X-j, Wang L, Zheng R-y, Lv T-c, Zhang Y-x, Cao Y, et al. Using polyethylene plastic bag to prevent moderate hypothermia during transport in very low birth weight infants: a randomized trial. J Perinatol. 2018;38(4):332–6.CrossRefPubMed
20.
Boulton JE, Coughlin K, O’Flaherty D, Solimano A, ACoRN. Acute care of at-risk newborns: a resource and learning tool for health care professionals. Oxford University Press; 2021.
21.
Lunze K, Bloom DE, Jamison DT, Hamer DH. The global burden of neonatal hypothermia: systematic review of a major challenge for newborn survival. BMC Med. 2013;11(1):1–11.CrossRef
22.
Beletew B, Bimerew M, Mengesha A, Wudu M, Azmeraw M. Prevalence of pneumonia and its associated factors among under-five children in East Africa: a systematic review and meta-analysis. BMC Pediatr. 2020;20(1):1–13.
23.
Abiramalatha T, Ramaswamy VV, Bandyopadhyay T, Pullattayil AK, Thanigainathan S, Trevisanuto D, et al. Delivery room interventions for hypothermia in preterm neonates: a systematic review and network meta-analysis. JAMA Pediatr. 2021;175(9):e210775–e.CrossRefPubMedPubMedCentral
24.
Yangthara B, Poungmalai J, Kitsommart R, Wongsiridej P. Prevalence and risk factors Associated with temperature derangement in high-risk neonates after birth resuscitation and upon neonatal Ward Admission: a 5-Year retrospective. Study: Single-Center; 2021.
25.
Glenn T, Price R, Culbertson L, Yalcinkaya G. Improving thermoregulation in transported preterm infants: a quality improvement initiative. J Perinatol. 2021;41(2):339–45.CrossRefPubMed
26.
Roy M, Adhikari UR, Roy M. Assessment of Hypothermia and the Thermoregulation measures received by neonates of a selected Medical College and Hospital, West Bengal. Asian J Nurs Educ Res. 2020;10(3):311–7.CrossRef
27.
Amadi HO, Olateju EK, Alabi P, Kawuwa MB, Ibadin MO, Osibogun AO. Neonatal hyperthermia and thermal stress in low-and middle-income countries: a hidden cause of death in extremely low-birthweight neonates. Paediatrics and International Child Health. 2015;35(3):273–81.CrossRefPubMed
28.
Sharma D, Murki S, Pratap T, Deshbotla SK, Vardhelli V, Pawale D, et al. Association between admission temperature and mortality and major morbidity in very low birth weight neonates–single center prospective observational study. J Maternal-Fetal Neonatal Med. 2022;35(16):3096–104.CrossRef
29.
Sharma D, Murki S, Kulkarni D, Pawale D, Vardhelli V, Anne RP, et al. The impact of a quality improvement project to reduce admission hypothermia on mortality and morbidity in very low birth weight infants. Eur J Pediatrics. 2020;179(12):1851–8.CrossRef
30.
Shaw SC, Devgan A, Anila S, Anushree N, Debnath H. Use of Plan-Do-Study-Act cycles to decrease incidence of neonatal hypothermia in the labor room. Med J Armed Forces India. 2018;74(2):126–32.CrossRefPubMed
Metadata
Title
Development, implementation, and evaluation of neonatal thermoregulation decision support web application
Authors
Raziyeh Beykmirza
Elahe Rastkar Mehrabani
Maryam Hashemi
Maryam Mahdizade Shahri
Reza Negarandeh
Maryam Varzeshnejad
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2023
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-023-02302-4

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