Evidence map›Paper›PMID 39379917›Full record

ArticleBMC psychiatry2024

Patterns of psychiatric admissions across two major health crises: L' Aquila earthquake and COVID-19 pandemic lockdown.

Tommaso Barlattani, Federico Salfi, Valentina Socci, Giulio Renzi, Chiara D' Amelio, Alessia Russo, Edoardo Trebbi, Alessandro Rossi, Francesca Pacitti

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Tommaso BarlattaniDepartment of Biotechnological and Applied Clinical Sciences (DISCAB), University of L' Aquila, Via Vetoio, (Coppito 2), L' Aquila, 67100, Italy.
Federico SalfiDepartment of Biotechnological and Applied Clinical Sciences (DISCAB), University of L' Aquila, Via Vetoio, (Coppito 2), L' Aquila, 67100, Italy.
Valentina SocciDepartment of Biotechnological and Applied Clinical Sciences (DISCAB), University of L' Aquila, Via Vetoio, (Coppito 2), L' Aquila, 67100, Italy. valentinasocci@gmail.com.
Giulio RenziDepartment of Biotechnological and Applied Clinical Sciences (DISCAB), University of L' Aquila, Via Vetoio, (Coppito 2), L' Aquila, 67100, Italy.
Chiara D' AmelioDepartment of Biotechnological and Applied Clinical Sciences (DISCAB), University of L' Aquila, Via Vetoio, (Coppito 2), L' Aquila, 67100, Italy.
Alessia RussoDepartment of Biotechnological and Applied Clinical Sciences (DISCAB), University of L' Aquila, Via Vetoio, (Coppito 2), L' Aquila, 67100, Italy.
Edoardo TrebbiDepartment of Public Health and Infectious Diseases, "La Sapienza" University of Rome, Rome, 00100, Italy.
Alessandro RossiDepartment of Biotechnological and Applied Clinical Sciences (DISCAB), University of L' Aquila, Via Vetoio, (Coppito 2), L' Aquila, 67100, Italy.
Francesca PacittiDepartment of Biotechnological and Applied Clinical Sciences (DISCAB), University of L' Aquila, Via Vetoio, (Coppito 2), L' Aquila, 67100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examined psychiatric hospitalisation patterns in San Salvatore Hospital in L' Aquila (Italy), during two major crises: the 2009 earthquake and the COVID-19 pandemic lockdown. The investigation spans two four-year periods, from 2008 to 2011 and from 2019 to 2022, with a focus on the trimester around the earthquake and the first wave/lockdown of the pandemic.

methodsWe analysed weekly psychiatric unit admissions of adults diagnosed with schizophrenia spectrum disorder, major depression, bipolar disorder, and alcohol/substance use disorder. Four-year periods around the Earthquake and COVID-19 Lockdown were divided into sixteen trimesters, and Generalised linear models were used to analyse the relationship between weekly hospitalisation frequency and trimesters by diagnosis using a Poisson distribution.

resultsA total of 1195 and 1085 patients were admitted to the psychiatric ward in the 2008-2011 and 2019-2022 periods, respectively. Weekly hospitalisations in the earthquake trimester were lower than during the previous one for all diagnoses (schizophrenia spectrum: -41.9%, p = 0.040; major depression: -56.7%, p = 0.046; bipolar disorder: -69.1%, p = 0.011; alcohol/substance use disorder: -92.3%, p = 0.013). This reduction persisted for 21, 18, and 33 months after the earthquake for schizophrenia spectrum, bipolar, and alcohol/substance use disorders, respectively. Contrarily, patterns of weekly admissions around the COVID-19 lockdown remained substantially stable in the short term. However, a consistent long-term hospitalisation increase for all diagnoses characterised the first half of 2022 (the cessation of anti-COVID-19 measures; schizophrenia spectrum: +68.6%, p = 0.014; major depression: +133.3%, p = 0.033; bipolar disorder: +180.0%, p = 0.034; alcohol/substance use disorder: +475.0%, p = 0.001).

conclusionsThe present study indicated that exposure to major health crises can have both short- and long-term effects on psychiatric ward admission, holding significant implications for current and future major health emergency management strategies.

Indexed as

COVID-19EarthquakesHospitalizationAdultAgedBipolar DisorderFemaleHumansItalyMajor Depressive DisorderMaleMental DisordersMiddle AgedPsychiatric Department, HospitalSchizophreniaSubstance-Related DisordersCOVID-19EarthquakesMental healthNatural disastersPandemicsPatient admissionResilience, psychologicalSARS-CoV-2Trauma and stressor related disorders

Identifiers

PMID39379917
PMCPMC11460219

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Registered trials

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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.