Evidence map›Paper›PMID 37727413›Full record

ArticleJournal of education and health promotion2023

Aggressive behavior and its associated factors among persons with mental illness: An observational study.

Leemol Parakkal Kurian, Sreevani Rentala, C Xavier Belsiyal, P Srinivasan, Sunanda Govindar Thimmajja

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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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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

8 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

5 authors.

Leemol Parakkal KurianNursing Department, Kidwai Memorial Hospital, Bangalore, Karnataka, India.
Sreevani RentalaDepartment of Nursing, Dharwad Institute of Mental Health and Neurosciences, Dharwad, Karnataka, India.
C Xavier BelsiyalDepartment of Psychiatric Nursing, College of Nursing, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
P SrinivasanDepartment of Psychiatric Nursing, College of Nursing, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India.
Sunanda Govindar ThimmajjaDepartment of Nursing, Dharwad Institute of Mental Health and Neurosciences, Dharwad, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAggressive behavior of psychiatric inpatients causes severe complications during treatment; nursing staff needs to understand the factors associated with aggression in inpatient units to prevent aggression.

aimThis study aimed to examine the level of aggression and its associated factors. MATERIALS AND

methodsA descriptive observational design was conducted among aggressive patients. An aggressive behavior event was observed during the aggression episode. Data were collected from 55 patients with aggressive behavior using the Staff Observation Aggression Scale-Revised (SOAS-R) and Brief Psychiatric Rating Scale (BPRS). Patient-, staff-, and ward-related factors were assessed using a structured questionnaire.

resultsAbout 69% of patients had a severe level of aggressive behavior. There was a significant association between gender, the severity of symptoms, staff-to-patient ratio, ward milieu, and the number of caregivers with levels of aggression.

conclusionThe majority of the persons with mental illness exhibited severe aggression in a psychiatric setting. Being male, the presence of psychotic symptoms, ward milieu, staff-to-patient ratio, and availability of caregivers were significantly associated with aggression. This study adds to the existing literature by focusing on managing ward-related factors (avoiding noise and overcrowding) to prevent aggressive behavior among mentally ill patients.

Indexed as

Aggressionincidencementally ill patientspatient factorstaff factorward factor

Identifiers

PMID37727413
PMCPMC10506767

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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.