ArticleAnnals of general psychiatry2022
Factors predicting admission of psychiatric emergency contacts after presenting to the emergency department: results of a regression analysis.
Article in Annals of general psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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, 1 synthesis or guideline pooled it.
- A qualitative meta-synthesis of service users' and carers' experiences of assessment and involuntary hospital admissions under mental health legislations: a five-year update.BMC psychiatry · 2024Pooled it
- A Comparative Analysis of Psychiatric Consultations Across Emergency, Hospital, and Community Mental Health Settings.Journal of clinical medicine · 2026Article
- Clinical and sociodemographic predictors of inpatient admission after presentation in a psychiatric emergency room: an observational study.International journal of mental health systems · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPsychiatric emergency patients have great relevance in the interdisciplinary emergency department. Emergency physicians in this setting often have to make decisions under time pressure based on incomplete information regarding the patient's further treatment. The aim of this study was to identify possible predictors associated with an increased likelihood of inpatient psychiatric admission.
methodsA retrospective cross-sectional study of all psychiatric emergency contacts in an interdisciplinary emergency department (ED) of a general hospital in a large German city was conducted for 2015. A binary regression analysis was performed to identify possible predictors.
resultsIn 2015, a total of 21421 patient contacts were reported in the emergency department, of which 1733 were psychiatric emergencies. Psychiatric emergency was the fourth most common cause presenting to the ED. The most common diagnosis given was mental and behavioral disorders due to the use of psychotropic substances (F1). Factors associated with an increased probability of inpatient psychiatric admission were previously known patients, patients under a legal care order (guardianship), and previous outpatient medical contact. No association for gender or age was found. Data demonstrated a negative relationship between a neurotic, stress-related and somatoform disorder diagnosis and admission.
conclusionsThe present study shows some significant characteristics associated with an increased likelihood of emergency admission. Independent of the health care system, the predictors found seem to be relevant with regard to the probability of admission, when compared internationally. To improve the treatment of patients in emergency units, these factors should be taken into account.
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.