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Leave of absence due to depression.

ABSTRACT: OBJECTIVE:to analyze the occurrence of leave of absence due to depression among workers. METHOD:census, descriptive-analytical study, with retrospective collection. Population composed of 2,267 workers on leave due to depression with data from the Unified Benefits Information System. The independent variables were: sex, age group, income; county, origin, number of leaves of absence and type of benefit. For data analysis, descriptive statistics were used and the chi-square and Fisher's exact tests were applied. The variables that presented a value of p?0.20 were submitted to logistic regression. RESULTS:there was a predominance of females, age ?50 years, from the capital, with income of one to two minimum wages, urban origin and single removal. Single leaves of absence occurred mainly due to a mild depressive episode and the benefit granted to the significant majority was social security sickness benefit. Among those who were on leave of absence more than once, the main cause was recurrent depressive disorder, a current mild episode and, in terms of benefit, social security sickness benefit. There was a statistical association between total time and absence from work. In logistic regression, it was found that the time ?60 days, was 3.1 times longer in recurrent depressive disorder. CONCLUSION:there were an expressive quantitative number of absences due to depression, in which it was observed, especially, that the absence time remained long.

SUBMITTER: Feitosa CDA

PROVIDER: S-EPMC7266636 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Leave of absence due to depression.

Feitosa Carla Danielle Araújo CDA Fernandes Márcia Astrês MA

Revista latino-americana de enfermagem 20200601

<h4>Objective</h4>to analyze the occurrence of leave of absence due to depression among workers.<h4>Method</h4>census, descriptive-analytical study, with retrospective collection. Population composed of 2,267 workers on leave due to depression with data from the Unified Benefits Information System. The independent variables were: sex, age group, income; county, origin, number of leaves of absence and type of benefit. For data analysis, descriptive statistics were used and the chi-square and Fish ...[more]

PMID: 32491123

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Project description:This study assessed the feasibility, implementation process and outcomes of the VReedom training; a virtual reality (VR)-based intervention designed to prepare forensic psychiatric patients for their first authorized leave. Clinical forensic mental healthcare organization Inforsa, operating at security level 3, introduced the VReedom training for forensic patients eligible for their first authorized leave, between March 1st and November 13th, 2022. Employing a retrospective observational cohort study design with patient dossier data as the primary source, the study also used participant observation, weekly evaluative questionnaires and focus group discussions as data sources. Five objectives were utilized to evaluate the feasibility: recruitment capacity and resulting sample characteristics, data collection and evaluation procedures, acceptability and suitability of the training and protocol, training management and implementation, and preliminary participant results. Despite the lack of a control group, findings align with literature suggesting VR's potential for enhancing treatment motivation and reducing stress in preparation for first authorized leave. Of 13 patients approached, 10 participated without dropouts, and no incidents occurred during training. Emotion elicitation was successful, supporting VR Exposure therapy's efficacy. Findings align with literature, emphasizing VR's value in forensic psychiatry. Establishing favorable implementation conditions was crucial, with positive reception from treatment providers. Also, the need for personalization and additional locations was identified, and the training seemed most suitable for patients with a tbs-measure. Future research with control groups is recommended to further validate the effectiveness of the VReedom training intervention, and further protocol development is necessary to make it suitable for a broader population. Current findings contribute to the refinement and expansion of evidence-based practices in the field of VR-assisted training and treatment in forensic psychiatry.

Project description:BackgroundCommon mental disorders such as depression and anxiety are major contributors to the global burden of disease. Affected individuals suffer reduced quality of life, impaired functioning and reduced capacity to work. Maintaining employment is an important determinant for health and wellbeing, and the economic impact of depression and anxiety is a significant societal expense. Treatments providing effective symptom reduction and helping patients return to work (RTW) would thus have substantial public health benefits. The present study will explore the effectiveness of metacognitive therapy (MCT) and work-focused interventions on reducing symptoms and increasing RTW rates for patients on sick leave due to depression and anxiety.MethodsThe study is a randomised controlled wait-list trial (RCT; N = 240). The intervention group will receive protocol-based MCT and work-focused interventions immediately after inclusion. The control condition is a wait-list control group. All patients will receive up to 12 weekly sessions. The study context is a Norwegian outpatient clinic part of a national programme aimed at reducing sick leave. The co-primary outcomes are change in RTW and symptoms of depression and anxiety at the end of treatment. In addition to self-report, sick leave will also be collected from national registries from 2 years prior to intervention to 4 years after intervention. Symptoms of scores will be collected by self-report at pre- and post-treatment and at 6 and 12 months follow-up after treatment. A cost-effectiveness analysis will use total cost and quality-adjusted life-years as the secondary outcomes.DiscussionThere is broad consensus on the importance of identifying treatment that effectively reduces depression and anxiety symptoms and aids RTW. This study is an important contribution to the field as it is the first RCT on MCT and work-focused interventions for patients on sick leave due to anxiety and depression.Trial registrationClinicalTrials.gov NCT03301922 . Registered on October 4, 2017.

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Leave of absence due to depression.

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Leave of absence due to depression.

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