A survey and cause analysis of community resilience in a Chinese city from the perspective of nursing

• Published in: BMC public health Vol. 22; no. 1; p. 2
• Main Authors: Jiang, N, Ma, L H, Cheng, J X, Jiang, X L
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 15.01.2022; BioMed Central; BMC
• Subjects: Beliefs, opinions and attitudes; Cause analysis; China; Community health care; Disaster relief; Disasters; Earthquake damage; Earthquake disaster; Earthquakes; Emergency preparedness; Evaluation; Evaluation system; Family Health; Health care; Households; Humans; Nurses; Nursing; Population characteristics; Practice; Public health; Questionnaires; Resilience; Resilience (Personality trait); Resilience, Psychological; Response rates; Sampling methods; Seismic activity; Seismic engineering; Urban areas; Urban community resilience; Urban population; Validity; China; Earthquake disaster; Nursing; Urban community resilience; Cause analysis; Evaluation system
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-021-12331-1

Community resilience, which fully reflects the ability of communities to resist, absorb, recover or adapt to disasters, has attracted international attention. Nurses are an important force in disaster prevention, relief and postdisaster reconstruction. This study aims to test the current level of community resilience in Dujiangyan city, which was seriously damaged by the Wenchuan earthquake, and analyze the causes. Community data from 952 residents, 574 families, 5 health care institutions and 12 communities in Dujiangyan city were collected by using stratified, cluster, map and systematic sampling methods. A new community resilience evaluation system from the perspective of nursing was used to test individual, family, health care and environmental resilience. In Dujiangyan city, average scores were obtained for community resilience (3.93 ± 0.12), individual resilience (4.07 ± 0.64), family resilience (4.07 ± 0.6), health care resilience (3.84 ± 0.33) and community environment resilience (3.69 ± 0.46). The urban communities in Dujiangyan city had acceptable resilience, with good family and individual resilience and medium health care and community environment resilience, but environmental resilience had the lowest score. Because conditions and resilience levels varied among the communities, targeted measures should be taken to improve resilience based on population characteristics, management, professional organizations, hardware and software facilities.