Early Detection of Burnout - Healthcare Workers

Status Recruiting

Clinical Trial Summary

Burnout is a public health issue. Healthcare workers are particularly at risk of burnout with occupational stress identified as the major risk factor. The "Health Work Environment" service is composed of physicians, nurses and psychologist with the aim of providing efficient and adapted care for healthcare workers at CHU of Clermont-Ferrand. In addition, they must ensure a role of primary, secondary and tertiary prevention. With regard to burnout, the majority of the work carried out concerns tertiary prevention, that is to say the care of a person in a situation of burnout. It would be necessary to carry out secondary prevention in order that people at risk of burnout can be detected earlier. However, there is currently no individual questionnaire to detect early burnout

Clinical Trial Description

Early detection of burnout was designed to provide a better understanding of warning sign of burnout in order to detect earlier workers at risk.

In the present protocol, parameters are measured on several occasions (0, 1 week, at 6 month, at 12 months and then at each occupational visit within 5 years).

Statistical analysis will be performed using Stata software (version 13; Stata-Corp, College Station, Tex., USA). All statistical tests will be two-sided and p<0.05 will be considered significant. After testing for normal distribution (Shapiro-Wilk test), data will be treated either by parametric or non-parametric analyses according to statistical assumptions. Inter-groups comparisons will systematically be performed 1) without adjustment and 2) adjusting on factors liable to be biased between groups.

Analysis will be performed using anova or Kruskal-Wallis (KW) tests. When appropriate (p<0.05), a post-hoc test for multiple comparisons (Tukey-Kramer after anova and Dunn post KW) will be used.

Comparisions of categorical variables will be performed using Chi-squared or Fischer test. Marascuillo's procedure will be performed for multiple comparisons. Relations between quantitative outcomes will be analyzed using correlation coefficients (Pearson or Spearman). Fisher's Z transformation and William's T2 statistic will be performed to compare correlations between variables and within a single group of subjects. Longitudinal data will be treated using mixt-model analyses in order to treat fixed effects group, time and group x time interaction taking into account between and within participant variability. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT03881475
Study type	Observational
Source	University Hospital, Clermont-Ferrand
Contact	Lise LACLAUTRE
Phone	04 73 75 49 63
Email	drci@chu-clermontferrand.fr
Status	Recruiting
Phase
Start date	March 1, 2019
Completion date	June 30, 2020

View Details

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Clinical trials are conducted in a series of steps, called phases - each phase is designed to answer a separate research question.

Phase 1: Researchers test a new drug or treatment in a small group of people for the first time to evaluate its safety, determine a safe dosage range, and identify side effects.
Phase 2: The drug or treatment is given to a larger group of people to see if it is effective and to further evaluate its safety.
Phase 3: The drug or treatment is given to large groups of people to confirm its effectiveness, monitor side effects, compare it to commonly used treatments, and collect information that will allow the drug or treatment to be used safely.
Phase 4: Studies are done after the drug or treatment has been marketed to gather information on the drug's effect in various populations and any side effects associated with long-term use.