Data
16.5.2019

Working time in the social welfare and health care sector

Working time in the social welfare and health care sector

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Length of working time
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The Y axis represents the average prevalence of a certain stress level among employees. Please note that the base of the axis may not be displayed. Due to the small sample size of the oldest age group (65–74), it is not possible to filter the group by gender.

Length of working time
Year200820092010201120122013201420152016201720182019202020212022Average prevalence, %50556065707580859095100Weekly working hours: share of different weekly working hours40 hours or less>40–48 h>48–55 hover 55 h
Year200820092010201120122013201420152016201720182019202020212022Average prevalence, %50556065707580859095100Work shift length: share of different work shifts4–9 h>9–12 h>12–14 hover 14 h

Monitoring the stressfulness of working time is the basis for further development of working time.

DESCRIPTION

The working time in the social welfare and health care sector data describes changes in working time (length of working time, night work, recovery, days off, opportunities to influence working time) and sickness absences in the social welfare and health care sector according to calendar year, the employer’s sector, working time model, gender and age.

The data presented is based on the Finnish Institute of Occupational Health’s long-term research and development co-operation with about 20 social welfare and health care organizations. Through this co-operation, the Finnish Institute of Occupational Health has a database of the daily working times of over 300,000 people starting from the year 2008. On an annual level, there is daily working time data of about 90,000 people from recent years, including all hospital districts with university hospitals and major cities in the public sector. For data privacy a 90% random sample of the original data is presented here.

The working times are based on the shift lists of the social welfare and health care sector generated with the Titania® shift planning software.

The data can be used to monitor long-term changes and development needs in the working times of the Finnish social welfare and health care sector to support well-being at work. The majority of the social welfare and health care sector aims to comply with the Finnish Institute of Occupational Health’s research-based recommendations concerning the stressfulness of working times with the “Working time traffic light model”, which is also used in the shift planning software of the social welfare and health care sector. Thus, the collected data also shows how extensively the Finnish Institute of Occupational Health’s working time recommendations are followed in Finland.

The organizations have already been provided feedback based on the data to use in their development activities. The Finnish Institute of Occupational Health uses the data for research purposes.

WHAT THE INDICATORS DESCRIBE

With the daily working time data, the percentages of working time characteristics in accordance with the Finnish Institute of Occupational Health’s Working time traffic light recommendations about the length of working time, night work, recovery, days off and opportunities to influence working times for each year have been calculated from the data.

The indicators of the data describe the percentages of the stressfulness of different working time characteristics on an annual level. The data is limited to organizations that have provided data for at least 8 months in a year and persons that have accumulated data for at least 30 days in different years. The stress levels of different working times indicated by different colours correspond with the recommendations of the Finnish Institute of Occupational Health, in which green indicates acceptable stress (“in order”), yellow indicates elevated stress, orange indicates excessive stress and red indicates strongly excessive stress, which should be corrected.

The colours are different in relation to sickness absences, because there are no recommended levels for them as there are for working time characteristics. For this reason, sickness absences cannot be directly assessed using the traffic light model of working time characteristics similarly to other variables.

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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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