Mental health-related conversations on social media and crisis episodes: a time-series regression analysis.

ABSTRACT: We aimed to investigate whether daily fluctuations in mental health-relevant Twitter posts are associated with daily fluctuations in mental health crisis episodes. We conducted a primary and replicated time-series analysis of retrospectively collected data from Twitter and two London mental healthcare providers. Daily numbers of 'crisis episodes' were defined as incident inpatient, home treatment team and crisis house referrals between 2010 and 2014. Higher volumes of depression and schizophrenia tweets were associated with higher numbers of same-day crisis episodes for both sites. After adjusting for temporal trends, seven-day lagged analyses showed significant positive associations on day 1, changing to negative associations by day 4 and reverting to positive associations by day 7. There

SUBMITTER: Kolliakou A 

PROVIDER: S-EPMC7005283 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature