ArticleInternational journal of mental health systems2023
Clinical and sociodemographic predictors of inpatient admission after presentation in a psychiatric emergency room: an observational study.
Article in International journal of mental health systems, 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, 2 citations in OpenAlex.
- A Comparative Analysis of Psychiatric Consultations Across Emergency, Hospital, and Community Mental Health Settings.Journal of clinical medicine · 2026Article
- Psychotic Onset During the Second Trimester of Pregnancy: A Case Report and Review of the Literature.Cureus · 2025Article
- Machine-learning identified suicide risk and emergency department inpatient admission.General hospital psychiatryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe admission decision after presentation in the psychiatric emergency room (PER) has potentially far-reaching consequences for the patient and the community. In a short amount of time, information must be collected and evaluated for a well-founded admission decision. The present study aimed to identify risk factors associated with inpatient psychiatric admission (IPA) after previous emergency presentation to the PER.
methodsElectronic patient records for all patients presenting in the PER of Hannover Medical School (MHH) in the year 2022 were retrospectively examined (n = 2580). Out of these, 2387 were included in this study. Two multivariate binary logistic regression analyses were performed to identify risk factors for IPA within sociodemographic, circumstantial and clinical variables.
results1300 (54.5%) consultations resulted in IPA. The most significant sociodemographic and circumstantial risk factors for IPA were found to be suicide attempt (depending on method: OR 9.1-17.4), aggressive behavior towards people prior to presentation (OR 2.9, 95% CI 1.7-4.8), previous psychiatric treatment (OR 1.8, 95% CI 1.4-2.3) and transfer from another hospital or medical discipline of MHH as means of presentation (OR 6.3, 95% CI 3.0-13.0). Among psychopathological aspects, suicidal ideation (OR 3.8, 95% CI 2.9-4.9), suicidal intent (OR 116.0, 95% CI 15.9-844.8), disturbance of orientation (OR 3.7, 95% CI 2.5-5.3), delusions (OR 2.3, 95% CI 1.6-3.1), visual hallucinations (OR 2.9, 95% CI 1.6-5.1), hopelessness/despair (OR 2.4, 95% CI 1.7-3.2) and inhibition of drive (OR 1.6, 95% CI 1.3-2.1) were significantly associated with IPA.
conclusionsThe admission decision is a complex process influenced by a multitude of sociodemographic, circumstantial and clinical factors. A deeper understanding of the decision-making process can be used to improve patient care and facilitate the evaluation process in the PER.
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.