ReviewSchizophrenia bulletin open2022
Impact of COVID-19 on the Italian Mental Health System: A Narrative Review.
Review in Schizophrenia bulletin open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- "We Had Unexpected Reactions from Everywhere": A Qualitative Study on the Impact of the COVID-19 Pandemic on Supported Accommodations for People with Serious Mental Disorders.Portuguese journal of public health · 2026Article
- Supported Accommodations for People with Serious Mental Disorders: Staff's Assessment of Work Challenges and Their Impact during COVID-19.Portuguese journal of public health · 2024Article
- Impact of Benzodiazepines and Illness Duration on Obsessive-Compulsive Disorder during COVID-19 in Italy: Exploring Symptoms' Evolutionary Benefits.Brain sciences · 2024Article
- Effects of COVID-19 pandemic on psychiatric and psychological consultation-liaison contacts in a general hospital in North-East of Italy: a retrospective study.Frontiers in psychiatry · 2024Article
- The Responsiveness of Mental Health Service Professionals to Two Years of Pandemic Emergency in Italy.Administration and policy in mental health · 2023Article
- The Emotional Landscape of Pregnancy and Postpartum during the COVID-19 Pandemic in Italy: A Mixed-Method Analysis Using Artificial Intelligence.Journal of clinical medicine · 2023Article
- Anxiety Symptoms, COVID-19-Related Stress Reactions in the Italian General Population, and Validation of the Italian COVID Stress Scales (CSS-I).Journal of clinical medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Italy has been severely affected by the COVID-19 pandemic, consequently producing a heavy burden on the Italian National Health Service. From February 2020 until the end of the same year, the Italian Mental Health System (MHS), comprising an extensive network of community services, was subjected to a significant decrease in standards of care followed at the beginning of 2021 by a slow return to usual levels of activity. Data reported in the present article highlight how the Italian MHS - as was the case in the majority of countries-was largely unprepared for this emergency, suggesting an impelling need to develop appropriate supplementary national plans with the aim of preventing similar situations from developing in the future. The upheaval caused by the pandemic has highlighted the need to reinforce, both at a local and national level, the organization and standards of care of the Italian MHS in order to protect and support the mental health of patients with severe mental disorders, health workers, and the general population, thus preventing a potential "pandemic" of mental disorders.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.