Abstract

BackgroundJob 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.MethodsWe 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.ResultsWithin 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.ConclusionsA 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.

Highlights

  • Job burnout has become a rampant epidemic in working societies, causing high productivity loss and healthcare costs

  • We evaluated the use of a free web application for the anonymous assessment of burnout risk with established psychometric scales, including the Maslach Burnout Inventory (MBI)-General Survey (MBI-GS)

  • We showed that a mobile health web application is useful to assess the risk of job burnout

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Summary

Introduction

Job burnout has become a rampant epidemic in working societies, causing high productivity loss and healthcare costs. In Switzerland, one out of four employees reported a significant amount of exhaustion, the core symptom of job burnout in 2010; already in 2000, work stress-related costs added up to CHF 4.2 billion, equaling the amount for the country’s military spending [2]. 26 % of workers in the U.S reported that they are often or very often burned out or stressed by their work [3], with workplace stress being responsible for up to $190 billion in annual healthcare costs in the United States [4]. The MBI with its three dimensions of the burnout experience that emerged from earlier qualitative research, has been considered the standard tool for research in the field, it should be noted that different conceptualizations of burnout exist, with some measures focusing on, for instance, the exhaustion component alone [6]

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