2020

1. IDENTIFICATION & BASIC DESCRIPTION Cohort name   Working Hours in the Finnish Public Sector (WHFPS) Country   Finland Name   Mikko Härmä Institution   Finnish institute of Occupational Health Email   Mikko.Harma@ttl.fi Phone   +358405442750 Personal website   https://www.ttl.fi/en/henkilot/mikko-harma/ Contact Principal Investigator (name)   Mikko Härmä (mikko.harma@ttl.fi) Data access policy (briefly describe)   access possible based on agreed co-operation in the analysis with FIOH Is this cohort part of a consortium? (name consortium)   Working hours, health,, wellbeing and participation in working life (WOW, https://www.ttl.fi/en/research-and-development-projects/wow/) Participation in pooled analyses   The cohort is potentially interested in participating in pooled analyses of (European) occupational cohort studies (note pooled analyses also includes remote decentralized analyses that would not require any transfer of primary data as well as meta-analyses). Main aim of cohort, please briefly describe the main objectives of the cohort   Working Hours in the Finnish Public Sector (WHFPS) cohort has payroll-based data of daily working hours including information on absences due to various reasons such as sickness absence of over 200 000 employees in altogether 12 large hospital districts and 13 cities (including the five largest cities) in Finland since 2007-2008 up to 2020. The database is maintained by FIOH based on co-operation with Finnish health and social care organizations and CGI Finland. The main aim of the cohort is to investigate the association of nigh and shift work with health, well-being and other occupational outcomes. Study design (please select as many as appropriate)   Prospective cohort Source population (please select as many as appropriate)   Industry / occupation-based Comparators (please select as many as appropriate)   Internal study population Inclusion criteria   The use of Titania shift scheduling software in health and social care in Finland (over 95% of all employees in health and social care use that CGI Finland sofware currently). Willingness of the organization to join the cohort. Enrollment   Ongoing Age range at entry (main cohort)   Minimum Maximum Mean 19 63 42 Men at enrollment   205 393 subjects, about 90% women Women at enrollment   205 393 subjects, about 90% women Children (<18 years) at enrollment   none Women at last follow-up   about 40 000 on annual level Participation rate at enrollment (if known)   100 Comments   Since this is a registry cohort based on pay-roll, the participation rate is 100& for those who are using Titania sofware for payroll. 2. OUTCOME FOLLOW-UP Type of data for outcome follow-up (please select as many as appropriate)   Use of registers (specify) Specify: Use of registers   Pay-roll data-base of daily working hours (on minutes bases), background data of the employer and and the use of different type of software tools (on minute bases) for shift scheduling. These software tools include e.g. the use of FIOH shift ergonomics evaluation tools that are part of the software and a participative shift scheduling tool (joint shift scheduling). First follow-up period (provide year)   2017 Last follow-up period (provide year)   2020 Number of follow-ups after baseline (provide number)   continuous follow-up (daily) Participation at last follow-up (if known)   100 3. OCCUPATIONAL EXPOSURES Source of exposure data collected (please select as many as appropriate)   Registry-based Occupational history/time frame   Current, at enrollment Occupational coding performed   Yes Occupation (specify coding system used)   information on the main occupations in health and social care based on coding manual used by Statistics Finland Methods for exposure assessment (please select as many as appropriate)   Other (specify) Specify: Other   registry data of daily working hours (pay-roll data base) Main categories   Organisation of work including working time Organisation of work including working time | Employment conditions   Contract duration Size of the workplace and company Work contract type (i.e. permanent, term-contract, subcontract, temporary) Organisation of work including working time | Shift work   Night (permanent or rotating) Rotating (not night) Regular/variable Organisation of work including working time | Working hours   Duration Regular/variable Organisation of work including working time | Other   Other Organisation of work including working time | Other | Specify: Other   all information on working hours (minute-base register) 4. OUTCOMES EVALUATED Baseline - type of outcome data collected (select more than one if applicable)   Registry-based Registry-based   Employment status Follow-up - type of outcome data collected (select more than one if applicable)   Registry-based Registry-based   Other Specify: Other   sickness absence Comments   This is an exposure database that can be linked any registry data on individual bases. We have linked it to surveys (FPS), occupaitonal injuries and morbidity data. 6. Other Information Possibility for linkage to data registries/data enrichment via data linkage   Birth register Cancer incidence Disease specific clinical database Employment status Hospital discharge Medication usage Migration Mortality register Please describe plans that are funded or most likely to be funded   We are currenly working on the sickness absence, occupational injuries, breast cancer and the the effects of different software tools (e.g. participatory shift scheduling) on sickness absence and perceived health with co-operation with the Finnish Public Sector surveys (all those organizations are also part of this exposure cohort). This payroll-based working hour data base can be linked on individual bases to any registry outcomes available in Finland.