| Literature DB >> 35664452 |
Chun Ming Yuan1, Xin Chen2, Xia Zeng2, Xiao Rong Mao3.
Abstract
Aim: It is widely accepted that resilience is an essential solution to the challenges caused by disasters or crisis. The resilient individual can actively cope with challenges and maintain a good performance in facing of disastrous events. After the outbreak of Novel Coronavirus Disease 2019 (COVID-19) in Wuhan, China, numerous researchers have engaged in studying the experiences of front-line nurses in Wuhan from different perspectives. However, little is known on how the first batch front-line nurses developed their resilience trajectories during the disastrous events. The purpose of the present study is to explore the disaster resilience trajectory of the first batch front-line nurses at the early-stage of COVID-19 outbreak in Wuhan, Hubei province. Method: Qualitative research method was employed using purposive sampling. Nurses from Sichuan who had anti-epidemic experiences in Wuhan were selected to be conducted in-depth phone interviews. The interviews were transcribed verbatim, and data was analysed by adopting Colaizzi phenomenological approach.Entities:
Keywords: COVID-19; Colaizzi phenomenological approach; Disaster resilience trajectory; Front-line nurses; Wuhan
Year: 2022 PMID: 35664452 PMCID: PMC9137274 DOI: 10.1016/j.ijdrr.2022.103071
Source DB: PubMed Journal: Int J Disaster Risk Reduct ISSN: 2212-4209 Impact factor: 4.842
Characteristics of participants (N = 12).
| Participant number | Age | Gender | Marital status | Original department | Date starting work in Wuhan | Duration(days) | Designated hospital | Spouse a medical worker? | Working years | Rescue experience |
|---|---|---|---|---|---|---|---|---|---|---|
| N1 | 29 | Female | Unmarried | Infectious Disease Department | February 2, 2020 | 59 | East Hospital of Affiliated Hospital of Wuhan University | No | 8 | None |
| N2 | 30 | Male | Unmarried | Surgical ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 7 | None |
| N3 | 36 | Female | Married | Neurology ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 13 | None |
| N4 | 31 | Female | Married | Emergency ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 14 | None |
| N5 | 31 | Female | Married | Surgical ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 10 | None |
| N6 | 30 | Male | Married | Geriatric Respiratory Department | February 2, 2020 | 59 | East Hospital of Affiliated Hospital of Wuhan University | Yes | 8 | None |
| N7 | 30 | Female | Unmarried | Neurology ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 7 | None |
| N8 | 30 | Female | Married | Emergency ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 7 | Yes (Earthquake and Influenza A) |
| N9 | 36 | Female | Married | Infectious Disease Department | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 17 | Yes (Earthquake) |
| N10 | 33 | Female | Married | Internal Medicine ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | Yes | 14 | None |
| N11 | 35 | Female | Married | Surgical ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 11 | Yes (H7N9 Avian Influenza) |
| N12 | 36 | Female | Married | Surgical ICU | January 25, 2020 | 57 | Wuhan Red Cross Hospital | No | 14 | Yes (H7N9 Avian Influenza) |
N, Nurse.