Oldenburg Burnout Inventory - validação de uma nova forma de mensurar Burnout no Brasil

Schuster, Marcelo da Silva; Dias, Valéria da Veiga

doi:10.1590/1413-81232018232.27952015

Cited by 31 publications

(27 citation statements)

References 11 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Item 13 has also been deleted from the OLBI-S proposal for Portuguese and Brazilian students (Campos et al, 2012) and OLBI's Malay version for students (Mahadi et al, 2018). In the Brazilian version for workers, that item was removed from the proposed reduced 13-item version (Schuster and Dias, 2018). Its removal was also suggested from the Italian version (Estévez-Mujica and Quintane, 2018).…”

Section: Discussionmentioning

confidence: 99%

Transcultural Adaptation of the Oldenburg Burnout Inventory (OLBI) for Brazil and Portugal

et al. 2019

View full text Add to dashboard Cite

During the last few years, burnout has gained more and more attention for its strong connection with job performance, absenteeism, and presenteeism. It is a psychological phenomenon that depends on occupation, also presenting differences between sexes. However, to properly compare the burnout levels of different groups, a psychometric instrument with adequate validity evidence should be selected (i.e., with measurement invariance). This paper aims to describe the psychometric properties of the Oldenburg Burnout Inventory (OLBI) version adapted for workers from Brazil and Portugal, and to compare burnout across countries and sexes. OLBI's validity evidence based on the internal structure (dimensionality, reliability, and measurement invariance), and validity evidence based on relationships with other variables (work engagement) are described. Additionally, it aims presents a revision of different OLBI's versions—since this is the first version of the instrument developed simultaneously for both countries—it is an important instrument for understanding burnout between sexes in organizations. Data were used from 1,172 employees across two independent samples, one from Portugal and the other from Brazil, 65 percent being female. Regarding the OLBI internal structure, a reduced version (15 items) was obtained. The high correlation between disengagement and exhaustion, suggested the existence of a second-order latent factor, burnout, which presented measurement invariance for country and sex. Confirmatory factor analysis of the Portuguese OLBI version presented good goodness-of-fit indices and good internal consistency values. No statistically significant differences were found in burnout between sexes or countries. OLBI also showed psychometric properties that make it a promising and freely available instrument to measure and compare burnout levels of Portuguese and Brazilian employees.

show abstract

Section: Discussionmentioning

confidence: 99%

Transcultural Adaptation of the Oldenburg Burnout Inventory (OLBI) for Brazil and Portugal

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Given the current dynamics of markets in different fields, which are characterized by high levels of organizational competitiveness, human resources are regarded as contributors to quality and competitive advantages in relation to organizational activities. 1 University faculty members have several responsibilities (e.g., conducting scientific research, writing papers, and teaching), because of which they shoulder an increasingly heavy burden. 2 Their high levels of stress can lead to burnout syndrome, lower quality of life (QoL), and contribute to the development of mental disorders.…”

Section: Introductionmentioning

confidence: 99%

Perceived stress and quality of life among graduate dental faculty

Meira

Paiva

Antelo

et al. 2020

Journal of Dental Education

View full text Add to dashboard Cite

Objective: This study aimed to identify the predictors of perceived stress and quality of life (QoL) among graduate dental faculty. Methods: This cross-sectional study was conducted using a representative sample of 348 dental faculty members from master's and doctoral programs in Brazil. Data were collected using self-administered questionnaires between August and December 2018. QoL was assessed using the multidimensional World Health Organization Quality of Life assessment (WHOQOL-BREF). Perceived stress was assessed using the Perceived Stress Scale (PSS). Participant sociodemographic characteristics served as the independent variables. The data were subjected to linear regression analysis. Results: Women obtained higher PSS scores and lower QoL scores (P < 0.05). There was a negative correlation between perceived stress and all 4 QoL domains. Multivariate analysis revealed that a combination of the independent variables (i.e., sex, age, sleep duration, dual employment, medication intake due to work, and leisure time) explained 32% of the variance in perceived stress. Regarding QoL, perceived stress, sleep duration, and medication intake due to work explained 50%, 58%, 27%, and 40% of the variance in the physical health, psychological, social relationships, and environment domain scores, respectively. Sex (i.e., female) and medication intake due to work predicted higher levels of perceived stress. In contrast, age, sleep duration, dual employment, and leisure time were associated with lower levels of perceived stress. Conclusion: Perceived stress and medication intake due to work had a negative effect on QoL, whereas sleep duration had a positive impact on QoL.

show abstract

“…Insomnia was added for users who did not answer the question about difficulties with sleeping with "Not at all" in the previously applied PHQ-9. All questionnaires were translated and validated in Brazilian Portuguese, with good psychometric properties [20][21][22][23][24][25]. No changes were made to question order or wording.…”

Section: Mental Health Outcomesmentioning

confidence: 99%

“…Responses range from 0 (did not apply) to 3 (applied very much or most of the time). Total scores are doubled and divided into five categories: normal (0-14), mild (15)(16)(17)(18), moderate (19)(20)(21)(22)(23)(24)(25), severe (26)(27)(28)(29)(30)(31)(32)(33), and extremely severe (34+) levels of stress [7].…”

Section: Mental Health Outcomesmentioning

confidence: 99%

Chatbot-Based Assessment of Employees’ Mental Health: Design Process and Pilot Implementation

Hungerbuehler¹,

Daley²,

Cavanagh³

et al. 2021

JMIR Form Res

View full text Add to dashboard Cite

Background Stress, burnout, and mental health problems such as depression and anxiety are common, and can significantly impact workplaces through absenteeism and reduced productivity. To address this issue, organizations must first understand the extent of the difficulties by mapping the mental health of their workforce. Online surveys are a cost-effective and scalable approach to achieve this but typically have low response rates, in part due to a lack of interactivity. Chatbots offer one potential solution, enhancing engagement through simulated natural human conversation and use of interactive features. Objective The aim of this study was to explore if a text-based chatbot is a feasible approach to engage and motivate employees to complete a workplace mental health assessment. This paper describes the design process and results of a pilot implementation. Methods A fully automated chatbot (“Viki”) was developed to evaluate employee risks of suffering from depression, anxiety, stress, insomnia, burnout, and work-related stress. Viki uses a conversation style and gamification features to enhance engagement. A cross-sectional analysis was performed to gain first insights of a pilot implementation within a small to medium–sized enterprise (120 employees). Results The response rate was 64.2% (77/120). In total, 98 employees started the assessment, 77 of whom (79%) completed it. The majority of participants scored in the mild range for anxiety (20/40, 50%) and depression (16/28, 57%), in the moderate range for stress (10/22, 46%), and at the subthreshold level for insomnia (14/20, 70%) as defined by their questionnaire scores. Conclusions A chatbot-based workplace mental health assessment seems to be a highly engaging and effective way to collect anonymized mental health data among employees with response rates comparable to those of face-to-face interviews.

show abstract

Oldenburg Burnout Inventory - validação de uma nova forma de mensurar Burnout no Brasil

Cited by 31 publications

References 11 publications

Transcultural Adaptation of the Oldenburg Burnout Inventory (OLBI) for Brazil and Portugal

Transcultural Adaptation of the Oldenburg Burnout Inventory (OLBI) for Brazil and Portugal

Perceived stress and quality of life among graduate dental faculty

Chatbot-Based Assessment of Employees’ Mental Health: Design Process and Pilot Implementation

Contact Info

Product

Resources

About