AI Article Synopsis

  • The study evaluated vocational integration programs in a Northern Italian town from 2004 to 2007, aiming to assess their effectiveness and identify predictors of job tenure.
  • Data were collected through a retrospective analysis, including user demographics and satisfaction ratings from users, caregivers, and professionals involved, highlighting overall positive sentiments towards the service but revealing lower satisfaction from companies regarding mental health collaboration.
  • Findings showed that 64.3% of users retained their jobs after three years, with the number of interventions before job placement being the only significant predictor of success, suggesting the need for improved integration among services for those with mental disorders.

Article Abstract

Objectives: THE PRESENT STUDY WAS CONDUCTED IN A VOCATIONAL INTEGRATION SERVICE OF A NORTHERN ITALIAN TOWN WITH TWO MAJOR AIMS: to assess vocational integration programs undertaken from 1(st) January 2004 to 1(st) January 2007; and to identify job tenure-associated predictors.

Methods: This is a retrospective study; we collected data such as gender, age, duration, type and outcome of the vocational integration program, and number of interventions performed by the vocational integration service. Self-report questionnaires were also used to assess the satisfaction of users, caregivers, practitioners, and of the company contacts involved in the study.

Results: The service has enrolled 84 users during the observation period. Out of these users, 64.3% of them still had their jobs after three years. Users, caregivers and company contacts expressed high levels of satisfaction for the support received by the vocational integration service. The company expressed less satisfaction for the collaboration received by the Departments of Mental Health (DMHs) that coached the users. The only variable associated to the outcome was the number of interventions that the users received before their placement on the job.

Conclusions: Despite all the limits of this study, its results show that the chance of taking advantage of a supported job placement service has likely proven itself effective in helping people with mental disorders to obtain and maintain a competitive employment. Our results, however, also point to the necessity of implementing newer strategies meant to develop a greater integration among all services dealing with mentally ill people.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3942865PMC
http://dx.doi.org/10.2174/1745017901410010009DOI Listing

Publication Analysis

Top Keywords

vocational integration
20
integration service
12
mental disorders
8
retrospective study
8
northern italian
8
italian town
8
1st january
8
number interventions
8
users caregivers
8
company contacts
8

Similar Publications

It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing strategies for the effective therapy of cancer, as it is an important factor that determines the evolution and treatment response of tumours. This work combines machine learning and single-cell RNA sequencing (scRNA-seq) to explore the glioma tumour microenvironment's TME. With the help of genome-wide association studies (GWAS) and Mendelian randomization (MR), we found genetic variants associated with TME elements that affect cancer and cardiovascular disease outcomes.

View Article and Find Full Text PDF

Immigrants and refugees in the United States often face significant barriers in accessing social services, including mental health support, legal assistance, ESL or related education, housing, vocational training, workforce resources, transportation, and citizenship support. This article explores the strengths and challenges of community-based organizations welcoming centers (CBO WC) in Illinois that serve these populations, including people with disabilities, in culturally appropriate and inclusive ways. The Immigrant and Refugee-Led Capacity Development Network of Illinois, based at the University of Illinois Chicago, collaborated with the state's Office of Welcoming Centers to explore the service capacities of 17 CBO grantees.

View Article and Find Full Text PDF

Flood change detection model based on an improved U-net network and multi-head attention mechanism.

Sci Rep

January 2025

School of Transportation and Geometics Engineering, Yangling Vocational & Technical College, Yangling, 712100, Shaanxi, China.

This work aims to improve the accuracy and efficiency of flood disaster monitoring, including monitoring before, during, and after the flood, to achieve accurate extraction of flood disaster change information. A modified U-Net network model, incorporating the Transformer multi-head attention mechanism (TM), is developed specifically for the characteristics of Synthetic Aperture Radar (SAR) images. By integrating the TM, the model effectively prioritizes image regions relevant to flood disasters.

View Article and Find Full Text PDF

Background: Innovation in crop establishment is crucial for wheat productivity in drought-prone climates. Seedling establishment, the first stage of crop productivity, relies heavily on root and coleoptile system architecture for effective soil water and nutrient acquisition, particularly in regions practicing deep planting. Root phenotyping methods that quickly determine coleoptile lengths are vital for breeding studies.

View Article and Find Full Text PDF

The heating oil circuit plays an essential role in the heating calendering roller for the lithium battery pole piece. To achieve the optimization of the heating oil circuit, a fluid-thermal-structural coupling method and a multi-objective optimization procedure are proposed to obtain the optimal solution. A fluid-thermal-structural coupling flowchart based on the numerical modeling for the calendering roller temperature distribution is created to automate the analysis processes in the optimization iteration.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!