Background: resident-to-resident aggression (RRA) is an understudied form of elder abuse in nursing homes.
Objective: the purpose of this systematic review was to examine the published research on the frequency, nature, contributing factors and outcomes of RRA in nursing homes.
Methods: in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement, this review examined all original, peer-reviewed research published in English, French, German, Italian or Spanish between 1st January 1949 and 31st December 2013 describing incidents of RRA in nursing homes. The following information was extracted for analysis: study and population characteristics; main findings (including prevalence, predisposing factors, triggers, nature of incidents, outcomes and interventions).
Results: eighteen studies were identified, 12 quantitative and 6 qualitative. The frequency of RRA ranged from 1 to 122 incidents, with insufficient information across the studies to calculate prevalence. RRA commonly occurred between exhibitors with higher levels of cognitive awareness and physical functionality and a history of aggressive behaviours, and female targets who were cognitively impaired with a history of behavioural issues including wandering. RRA most commonly took place in the afternoon in communal settings, was often triggered by communication issues and invasion of space, or was unprovoked. Limited information exists on organisational factors contributing to RRA and the outcomes for targets of aggression.
Conclusions: we must continue to grow our knowledge base on the nature and circumstances of RRA to prevent harm to an increasing vulnerable population of nursing home residents and ensure a safe working environment for staff.
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http://dx.doi.org/10.1093/ageing/afv004 | DOI Listing |
J Med Syst
January 2025
Unitat de Suport a la Recerca Metropolitana Nord, Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), C/ Mare de Déu de Guadalupe, 2, Mataró, 08303, Barcelona, Spain.
Predicting health-related outcomes can help with proactive healthcare planning and resource management. This is especially important on the older population, an age group growing in the coming decades. Considering longitudinal rather than cross-sectional information from primary care electronic health records (EHRs) can contribute to more informed predictions.
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Physiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary.
In light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For individuals requiring hospital care, those receiving home care, or as a precaution for a specific individual, it is advantageous to utilize monitoring equipment to track their biological parameters on an ongoing basis.
View Article and Find Full Text PDFSensors (Basel)
January 2025
German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany.
Instrumented gait analysis is widely used in clinical settings for the early detection of neurological disorders, monitoring disease progression, and evaluating fall risk. However, the gold-standard marker-based 3D motion analysis is limited by high time and personnel demands. Advances in computer vision now enable markerless whole-body tracking with high accuracy.
View Article and Find Full Text PDFLife (Basel)
January 2025
Spaulding Rehabilitation Hospital, Department of Physical Medicine & Rehabilitation, Harvard Medical School, Boston, MA 02115, USA.
Chronic non-cancer pain (CNCP) is one of the leading causes of disability. The use of strong opioids (SOs) in the management of CNCP is increasing, although evidence supporting their use remains limited. Primary care (PC) plays a key role in this context.
View Article and Find Full Text PDFHealthcare (Basel)
January 2025
Nursing Department, Ashkelon Academic College, Shikmim 78211, Israel.
Purpose: To investigate community-acquired pressure injuries (CAPIs) in older people by utilizing big data.
Design: Retrospective data curation and analysis of inpatient data from two general medical centers between 1 January 2016 and 31 December 2018.
Methods: Nursing assessments from 44,449 electronic medical records of patients admitted to internal medicine departments were retrieved, organized, coded by data engineers, and analyzed by data scientists.
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