ARTICLE ANALYSIS

Analysis of article using Artificial Intelligence tools





Id 2618
Author Pike K.M.; Rebello T.J.; Hanasaki S.; Narita-Ohtaki R.; Kaufman P.; Akiyama T.; Doerries B.; Yang L.H.; Suzuki N.; Magill E.B.; Yasumura S.
Title The Tōhoku Theater Project in Postdisaster Japan: An Exemplar for Addressing Community Mental Health in the Context of Disaster
Reference

Pike K.M.; Rebello T.J.; Hanasaki S.; Narita-Ohtaki R.; Kaufman P.; Akiyama T.; Doerries B.; Yang L.H.; Suzuki N.; Magill E.B.; Yasumura S. The Tōhoku Theater Project in Postdisaster Japan: An Exemplar for Addressing Community Mental Health in the Context of Disaster,Psychiatric services (Washington, D.C.) 73 6

Keywords COVID-19; Disasters; Earthquakes; Humans; Japan; Mental Health; Pandemics; disaster; earthquake; human; Japan; mental health; pandemic
Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131219309&doi=10.1176%2fappi.ps.202000520&partnerID=40&md5=80602e1faaf404d998d30886f55a3772
Abstract The Tōhoku Theater Project was completed 2 years after the natural and nuclear disasters in Tōhoku, Japan, on March 11, 2011. It employed the dramatic arts to support the healing process, promote resilience, and increase dialogue and understanding about mental health among individuals who were directly affected by the disasters. The four performances fostered important discussions regarding the psychological impact of the Tōhoku disasters. Participants (N=143) found the theater performance effective at facilitating discussion, increasing empathy, and enhancing mental health knowledge, coping, and resilience. The performances provided critical information about access to services; many participants reported that they had not known where to seek help for mental health prior to their involvement with the Tōhoku Theater Project. Lessons learned may inform community-based strategies that promote mental health and healing in the wake of the COVID-19 pandemic and other public health disasters.

Metodology

Technique

Keyword Find research methods used
Tentative Keyword Show Candidate Transition Variables for article (AI method)
Categories Find category for article (AI method)
Crossover theme Find social impact for article (AI method)
Wordcloud Show WordCloud from article (AI method)
Find semantically similar articles Find semantically similar articles (Semantic search)