Evidence map›Paper›PMID 35117972›Full record

ArticleWorld journal of virology2022

Rethinking hospital psychiatry in Italy in light of COVID-19 experience.

Marco P Piccinelli, Paola Bortolaso, Greg D Wilkinson

Open access · diamondAbstract read
In one paragraph

Article in World journal of virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

3 authors at 3 institutions in 3 countries.

Marco P PiccinelliPsychiatric Unit Verbano, Department of Mental Health and Substance Abuse, Cittiglio 21033, Varese, Italy. marcopiero.piccinelli@asst-settelaghi.it.
Paola BortolasoPsychiatric Unit Verbano, Department of Mental Health and Substance Abuse, Cittiglio 21033, Varese, Italy.
Greg D WilkinsonLiverpool University Hospitals NHS Trust, Liverpool University, Liverpool 2170, United Kingdom.
CITIC Group (China) · CNLiverpool Heart and Chest Hospital NHS Trust · GBSubstance Abuse and Mental Health Services Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundItaly retains a distinctive organization of mental health services according to a community-based model of care with a multidisciplinary team serving a well-defined catchment area under the coordination of the local department of mental health. The coronavirus disease 2019 (COVID-19) pandemic is forcing Italian mental health services to develop new organizational strategies at all levels of care in order to face the associated challenges.

aimTo explore factors associated with changes in psychiatric admissions to an inpatient psychiatric unit located in Lombardia Region, Italy.

methodsAll hospital admissions (

resultsHospital admissions dropped by 38% during the COVID-19 pandemic. No significant differences were found in demographics, clinical variables associated with hospital admissions and length of stay between 2019 and 2020. Compared with 2019, a significantly greater proportion of hospital admissions in 2020 were related to difficulties in organizing care programs outside the hospital (chi-square = 4.91, df 1, one-way

conclusionAdmissions to the inpatient psychiatric unit dropped significantly during the COVID-19 pandemic in 2020, with difficulties in organizing care programs outside the hospital and in patients' family contexts occurring more frequently compared with 2019.

Indexed as

COVID-19ItalyMental health servicesPandemicPsychiatric

Identifiers

PMID35117972
PMCPMC8788211
OpenAlexW4205846887

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.