↓ Skip to main content

Risk assessment for job burnout with a mobile health web application using questionnaire data: a proof of concept study

Overview of attention for article published in BioPsychoSocial Medicine, November 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
148 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Risk assessment for job burnout with a mobile health web application using questionnaire data: a proof of concept study
Published in
BioPsychoSocial Medicine, November 2016
DOI 10.1186/s13030-016-0082-4
Pubmed ID
Authors

Roland von Känel, Marc van Nuffel, Walther J. Fuchs

Abstract

Job burnout has become a rampant epidemic in working societies, causing high productivity loss and healthcare costs. An easy accessible tool to detect clinically relevant risk may bear the potential to timely avert the dire sequelae of burnout. As a start, we performed a proof of concept study to test the utilization of a mobile health web application for a free and anonymous burnout risk assessment with established questionnaires. We designed a client-side javascript web application for users who filled out demographic and psychometric data forms over the internet. Users were recruited through social media, back links from hospital websites, and search engine optimization. Similar to population-based studies, we used the Maslach Burnout Inventory-General Survey (MBI-GS) to calculate a burnout risk index (BRIX). As additional mental health burden indices, users filled out the Perceived Stress Scale, Insomina Severity Index, and Profile of Mood States. Within six months, the MBI-GS was completed by 11,311 users (median age 33 years, 85 % women) of whom 20.0 % had no clinically relevant burnout risk, 54.7 % had mild-to-moderate risk, and 25.3 % had high risk. In the 2947 users completing all questionnaires, female sex (B = -0.03), cohabiting (B = -0.03), negative affect (B = 0.46), positive affect (B = -0.20), perceived stress (B = 0.18), and insomnia symptoms (B = 0.04) explained 56.2 % of the variance in the continuously scaled BRIX. The reliability was good to excellent for all psychometric scales. The weighting of the BRIX with mental health burden indices primarily modified the risk in users with mild-to-moderate burnout risk. A low-threshold web application can reliably assess the risk of job burnout. As the bulk of users had clinically relevant burnout scores, a web application may be useful to target employees at risk. The clinical value of the BRIX and its modification with coexistent/absent mental health burden awaits evaluation with work and health outcomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 148 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 14%
Student > Master 19 13%
Student > Bachelor 16 11%
Researcher 11 7%
Student > Doctoral Student 11 7%
Other 26 18%
Unknown 45 30%
Readers by discipline Count As %
Psychology 31 21%
Medicine and Dentistry 23 16%
Nursing and Health Professions 9 6%
Social Sciences 7 5%
Computer Science 6 4%
Other 25 17%
Unknown 47 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2016.
All research outputs
#14,906,275
of 24,135,931 outputs
Outputs from BioPsychoSocial Medicine
#175
of 318 outputs
Outputs of similar age
#176,098
of 315,959 outputs
Outputs of similar age from BioPsychoSocial Medicine
#5
of 7 outputs
Altmetric has tracked 24,135,931 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 318 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,959 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.