Data

Working time in the social affairs and health care sector

Published 16.5.2019
Updated 16.5.2019

Constantly accumulating

Working time in the social affairs and health care sector

The Y axis represents the average prevalence of a certain stress level

Year
2008 2016
Working time dimension
Length of working time
Length of working time in shift work
Elevated stress
Age group15 -2425 -3435 -4445 -5455 -64Average prevalence, %02468101214161820222426Long weekly working time> 40 h calendar weeks/all calendar weeks
Age group15 -2425 -3435 -4445 -5455 -64Average prevalence, %02468101214Long stints> 5 consecutive shifts/all stints
Age group15 -2425 -3435 -4445 -5455 -64Average prevalence, %024681012141618Long shifts>= 10 h shifts/all shifts
Length of working time in daytime work
Elevated stress
Age group15 -2425 -3435 -4445 -5455 -64Average prevalence, %0123456789101112Long weekly working time> 40 h calendar weeks/all calendar weeks
Age group15 -2425 -3435 -4445 -5455 -64Average prevalence, %00.511.522.533.544.5Long stints> 5 consecutive shifts/all stints
Age group15 -2425 -3435 -4445 -5455 -64Average prevalence, %00.20.40.60.811.21.41.6Long shifts>= 10 h shifts/all shifts

Follow-up of the stressfulness of working time is the basis for further development of working time

Description

The Finnish Institute of Occupational Health is engaged in long-term research co-operation with over 20 social affairs and health care sector organizations of municipalities and large cities. Based on this co-operation, the Finnish Institute of Occupational Health has a database of daily working time of over 150,000 people starting from the year 2000. The working time data is based on duty rosters created with the work planning software Titania® in city and municipal social affairs and in the health care sector.

The data from these organizations is utilized in research and development project that produce research information for assessing and mitigating the strain caused by working hours in shift work. The participating organizations use the collected stress data when developing their own working time. The shift ergonomic recommendations based on research of the Finnish Institute of Occupational Health are utilized with the so-called traffic light model in shift planning software

WHAT THE INDICATORS DESCRIBE

The data presented here is from 2008–2016 and contains the working time data of over 100,000 people. Based on the daily working time information, annual indicators have been calculated related to length and timing of working time as well as recovery and work-life balance. The indicators can be used for examining long-term trends in working time and differences based on age, gender or working time model (shift vs daytime work). The indicators describe the average prevalence of a certain stress level. The chosen stress levels relate to the traffic light model of the Finnish Institute of Occupational Health in which green indicates acceptable stress, yellow indicates elevated stress, orange indicates excessive stress and red indicates strongly excessive stress (which should always be corrected). The variables that have not been assigned a stress level in the traffic light model are marked in grey. The currently available graphs represent, in the first phase, indicators that give an overview of the stressfulness of working times.

The data is updated annually.

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Contact information

Mikko Härmä

+358 30 474 2729

Creative Commons License

Creative Commons License

The publication is licensed under Creative Commons 4.0 International -license.

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