Purpose: This study aimed to assess the efficacy of a staff-training intervention to improve service users' engagement in activities and quality of care, by means of a cluster randomised controlled trial.
Method: All residential units with at least 12-h a day staff support (n = 23) were invited to participate. Quality of care was assessed with the Quality Indicator for Rehabilitative Care (QuIRC) filled online by the unit's manager. Half the units (n = 12) were randomly assigned to continue providing treatment as usual, and half (n = 11) received a staff-training intervention that focused on skills for engaging service users in activities, with trainers working alongside staff to embed this learning in the service. The primary outcome was service users' level of activity (measured with the Time Use Diary), reassessed at 4 and 8 months. Secondary outcomes were the quality of care provided (QuIRC), and service users' quality of life (Manchester Short Assessment of Quality of Life) reassessed at 8 months. Generalized linear mixed effect models were used to assess the difference in outcomes between units in the two trial arms. The trial was registered with Current Controlled Trials (Ref NCT02366117).
Results: Knowledge acquired by the staff during the initial workshops increased significantly (p ≤ 0.01). However, the intervention and comparison units did not differ significantly in primary and secondary outcomes at either follow-up.
Conclusions: The intervention increased the level of knowledge of staff without leading to an improvement in service users' engagement in activities, quality of life, or quality of care in the units.
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http://dx.doi.org/10.1007/s00127-017-1416-7 | DOI Listing |
ERJ Open Res
January 2025
South Wales Clinical Psychology Training Programme, Cardiff and Vale University Health Board and Cardiff University, Cardiff, UK.
https://bit.ly/3YLHIHm.
View Article and Find Full Text PDFData Brief
February 2025
CREA - Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, I-40128 Bologna, Italy.
Farming practices such as soil tillage, organic/mineral fertilization, irrigation, crop selection and residues management influence multiple ecosystem services provided by agricultural systems. These practices exhibit complex, non-linear interrelationships that affect crop productivity, water quality, and non-carbon dioxide greenhouse gases (GHG) emissions, possibly offsetting their benefits regarding soil organic carbon (SOC) sequestration. Current methodologies from the Intergovernmental Panel on Climate Change (IPCC) for assessing the impacts of alternative farming practices on GHG emissions rely on global or country-specific coefficients.
View Article and Find Full Text PDFHeliyon
January 2025
Division of Information & Communication Engineering, Kongju National University, Cheonan-daero, Cheonan, 31080, Republic of Korea.
This study empirically analyzed the variables affecting the adoption intention of a financial data retrieval service (i.e. My Data) through the convergence of the stimulus-organism-response (S-O-R) model, the value-based adoption model (VAM), and the unified theory of acceptance and use of technology (UTAUT1).
View Article and Find Full Text PDFAntimicrob Steward Healthc Epidemiol
January 2025
Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX 75390 USA.
Objective: Social media has become an important tool in monitoring infectious disease outbreaks such as coronavirus disease 2019 and highly pathogenic avian influenza (HPAI). Influenced by the recent announcement of a possible human death from H5N2 avian influenza, we analyzed tweets collected from X (formerly Twitter) to describe the messaging regarding the HPAI outbreak, including mis- and dis-information, concerns, and health education.
Methods: We collected tweets involving keywords relating to HPAI for 5 days (June 04 to June 08, 2024).
Can J Psychiatry
January 2025
Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Objectives: To establish whether the risk of psychotic disorders in cannabis users changes with time following cannabis cessation using data from the European Network of National Networks studying Gene-Environment Interactions in Schizophrenia (EU-GEI) case-control study.
Methods: The EU-GEI case-control study collected data from first episode psychosis patients and population controls across sites in Europe and Brazil between May 2010 and April 2015. Adjusted logistic regressions were applied to examine whether the odd of psychosis case status changed: (1) with time following cannabis cessation and (2) across different cannabis use groups.
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