Kong So Yeon Joyce, Acharya Ankit, Basnet Omkar, Haaland Solveig Haukås, Gurung Rejina, Gomo Øystein, Ahlsson Fredrik, Meinich-Bache Øyvind, Axelin Anna, Basula Yuba Nidhi, Pokharel Sunil Mani, Subedi Hira, Myklebust Helge, Kc Ashish
Laerdal Medical, Stavanger, Norway.
Golden Community, Chakupat, Lalitpur, Nepal.
PLOS Digit Health. 2024 Apr 1;3(4):e0000471. doi: 10.1371/journal.pdig.0000471. eCollection 2024 Apr.
This study aims to assess the acceptability of a novel technology, MAchine Learning Application (MALA), among the mothers of newborns who required resuscitation.
This study took place at Bharatpur Hospital, which is the second-largest public referral hospital with 13 000 deliveries per year in Nepal.
This is a cross-sectional survey.
Data collection took place from January 21 to February 13, 2022. Self-administered questionnaires on acceptability (ranged 1-5 scale) were collected from participating mothers. The acceptability of the MALA system, which included video and audio recordings of the newborn resuscitation, was examined among mothers according to their age, parity, education level and technology use status using a stratified analysis.
The median age of 21 mothers who completed the survey was 25 years (range 18-37). Among them, 11 mothers (52.4%) completed their bachelor's or master's level of education, 13 (61.9%) delivered first child, 14 (66.7%) owned a computer and 16 (76.2%) carried a smartphone. Overall acceptability was high that all participating mothers positively perceived the novel technology with video and audio recordings of the infant's care during resuscitation. There was no statistical difference in mothers' acceptability of MALA system, when stratified by mothers' age, parity, or technology usage (p>0.05). When the acceptability of the technology was stratified by mothers' education level (up to higher secondary level vs. bachelor's level or higher), mothers with Bachelor's degree or higher more strongly felt that they were comfortable with the infant's care being video recorded (p = 0.026) and someone using a tablet when observing the infant's care (p = 0.046). Compared with those without a computer (n = 7), mothers who had a computer at home (n = 14) more strongly agreed that they were comfortable with someone observing the resuscitation activity of their newborns (71.4% vs. 14.3%) (p = 0.024).
The novel technology using video and audio recordings for newborn resuscitation was accepted by mothers in this study. Its application has the potential to improve resuscitation quality in low-and-middle income settings, given proper informed consent and data protection measures are in place.
本研究旨在评估一种新技术——机器学习应用程序（MALA）在需要复苏的新生儿母亲中的可接受性。
本研究在巴拉特普尔医院开展，该医院是尼泊尔第二大公立转诊医院，每年有13000例分娩。
这是一项横断面调查。
数据收集于2022年1月21日至2月13日进行。从参与研究的母亲那里收集了关于可接受性的自填式问卷（范围为1 - 5分制）。使用分层分析，根据母亲的年龄、产次、教育水平和技术使用状况，对包括新生儿复苏视频和音频记录的MALA系统的可接受性进行了研究。
完成调查的21位母亲的中位年龄为25岁（范围18 - 37岁）。其中，11位母亲（52.4%）完成了学士或硕士教育水平，13位（61.9%）生育第一胎，14位（66.7%）拥有电脑，16位（76.2%）携带智能手机。总体可接受性较高，所有参与研究的母亲对复苏期间婴儿护理的视频和音频记录这项新技术都给予了积极评价。按母亲的年龄、产次或技术使用情况分层时，母亲对MALA系统的可接受性没有统计学差异（p>0.05）。当按母亲的教育水平（高中及以下水平与学士及以上水平）对该技术的可接受性进行分层时，拥有学士学位或更高学历的母亲更强烈地感觉她们对婴儿护理被视频记录（p = 0.026）以及有人在观察婴儿护理时使用平板电脑（p = 0.046）感到舒适。与没有电脑的母亲（n = 7）相比，家中有电脑的母亲（n = 14）更强烈地认同她们对有人观察其新生儿的复苏活动感到舒适（71.4%对14.3%）（p = 0.024）。
本研究中，母亲们接受了用于新生儿复苏的视频和音频记录这项新技术。如果有适当的知情同意和数据保护措施，其应用有可能在中低收入环境中提高复苏质量。
