Improving Care in Neonatal Intensive Units During the COVID-19 Pandemic: A Survey on Electronic Health Communication.
De Bernardo GiuseppeNapoletano GiuseppinaSordino DesireeSodano AngelaGiordano MaurizioSerafina PerronePublished in: Journal of intensive care medicine (2021)
A novel virus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started spreading through Italy and the world from February 2020, and the pandemic threatened the family-centred care (FCC) model used in the neonatal intensive care unit (NICU). Teleconferences and video calls were employed to keep parents in contact with their babies. This study aimed to evaluate satisfaction and stress levels between parents in the telematic family-centred care group (T-FCC) versus the FCC group and the no Family-Centred Care (N-FCC) group. Methods A prospective cohort pilot study was carried out from April to May 2020. A parental stressor scale and the NICU satisfaction questionnaire were administered to parents at the time of discharge of their newborns. Parents in T-FCC group could see their newborns via video calls, while those in the FCC and N-FCC groups were extracted from our previously published database. Results Parents in the T-FCC group were more satisfied and less stressed than those in the N-FCC group. Experiences of the mothers and fathers in the T-FCC group were similar. However, the FCC group showed the best results. Conclusion The T-FCC group showed satisfaction with the quality of information received about their babies and felt that their privacy was considered and respected by the medical staff. Parents were also less stressed because they could monitor what happens to the baby through a video, however, they could not intervene if there was a problem. Data support the use of video calls to improve insight into clinical conditions and communication between doctors, nurses, and parents during the pandemic.
Keyphrases
- quality improvement
- sars cov
- healthcare
- respiratory syndrome coronavirus
- coronavirus disease
- mental health
- preterm infants
- public health
- systematic review
- palliative care
- gestational age
- randomized controlled trial
- emergency department
- health information
- big data
- artificial intelligence
- cord blood
- deep learning
- affordable care act
- data analysis