Observational studyFrontiers in public health2023
The impact of the two-year COVID-19 pandemic on hospital admission and readmissions of children and adolescents because of mental health problems.
Observational study in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Changes in the number and characteristics of tertiary hospital psychiatric admissions in south Croatia before and during the COVID-19 pandemic: a retrospective study.BMC psychiatry · 2025Article
- Pediatric healthcare service utilization after the end of COVID-19 state of emergency in Northern Italy: a 6-year quasi-experimental study using interrupted time-series analysis.Frontiers in public health · 2025Article
- The trend of poisonings before and after the COVID-19 pandemic.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aimed to investigate the specific risk factors and psycho-social and clinical features of hospitalized neuropsychiatric patients during the COVID pandemic and to analyze the hospital readmission phenomenon, which, according to recent studies, increased in frequency during the first pandemic period. Patients and methods: This observational retrospective cohort study examined 375 patients aged between 0 and 17 years who were hospitalized between 1 February 2018 and 31 March 2022 due to neuropsychiatric issues. The majority of the patients were girls: there were 265 girls compared to 110 boys ( Results: The risk factors for mental health disorders were similar between the two groups, except for the significantly increased use of electronic devices in the COVID-19 group, increasing from 8.8% in the pre-COVID-19 group to 29.2% in the COVID-19 group. Patients suffering from eating disorders increased from 11.3% in the pre-COVID-19 group to 23.8% in the COVID-19 group. Hospital readmissions nearly increased from 16.7% in the 2-year pre-COVID-19 period to 26.2% in the 2-year COVID-19 period. A total of 75% of patients hospitalized three or more times in the last 2 years and 85.7% of the so-called "revolving door" patients (with relapse within 3 months after discharge) were identified in the COVID-19 group. However, the comparison between the two groups of patients readmitted before and during the COVID-19 pandemic did not show any differences in terms of sociodemographic and clinical characteristics. Conclusion: In conclusion, there was a significant increase in hospital readmissions, but these results suggest the need for better coordination between hospital and territorial services in managing the complexity of mental health problems related to situations arising from the COVID-19 pandemic and the necessity to implement prevention strategies and services.
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.