Mental health concerns during the COVID-19 pandemic as revealed by helpline calls
Nature·
- DOI
- 10.1038/s41586-021-04099-6
- PMID
- 34789873
- PMCID
- PMC9973557
- OpenAlex
- W3214568570
- Study type
- Journal article
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Publication version
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Open linked preprint →Why this research matters now
The study demonstrates that helpline data can provide real-time monitoring of mental health concerns during public health crises, complementing established surveillance approaches. The findings suggest that financial relief measures may mitigate psychological distress associated with lockdown policies.
Structured evidence summary
Research question
The study examines mental health concerns during the COVID-19 pandemic by analyzing patterns in helpline call data across multiple countries.
Study design
This observational study analyzed 8 million helpline calls from 19 countries, examining call volumes and topic prevalence before and during the COVID-19 pandemic. The design assessed temporal patterns in relation to infection rates and policy measures.
Population and setting
The population consisted of individuals who contacted helplines across 19 countries during the COVID-19 pandemic period, including the first wave and subsequent waves.
Main findings
Helpline call volumes peaked at 35% above pre-pandemic levels six weeks after initial outbreak, driven primarily by fear of infection, loneliness, and physical health concerns. Issues such as relationship problems, economic concerns, violence, and suicidal ideation were less prevalent than pre-pandemic levels. Suicide-related calls increased when containment policies were more stringent and decreased when income support was extended.
Public-health relevance
The study demonstrates that helpline data can provide real-time monitoring of mental health concerns during public health crises, complementing established surveillance approaches. The findings suggest that financial relief measures may mitigate psychological distress associated with lockdown policies.
Important limitations
This summary relies on the supplied single-article abstract and metadata. Full assessment of study limitations, including potential selection bias in helpline usage, generalizability across countries, and causal interpretation of policy associations, requires review of the complete published article.
GIDS interpretation
This peer-reviewed research article published in Nature would be discoverable in GIDS through disease classifiers for COVID-19 and SARS, country tags including Germany, France, and United States, and topic classifications for health policy, outbreak investigation, and treatment. The study offers methodological insights into real-time mental health surveillance using administrative data sources.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 14 auditable classifier relationships to diseases, places, topics, and study design.