Sleep Disturbance Clinical Trial
— PLANTOOLSOfficial title:
The Use of Worktime Planning Tools in the Finnish Public Sector. A Quasi-experimental Study (PLANTOOLS)
Verified date | February 2023 |
Source | Finnish Institute of Occupational Health |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This study aims to investigate whether use of interactive worktime planning tools that support work-time control (possibilities to influence individual shift rosters, i.e., participatory rostering) and guide for health-supporting shift ergonomics will improve health and well-being among shift workers, especially among ageing employees. Effects of the worktime planning tools will be studied in a quasi-experimental design in the Finnish public sector. Health and well-being at baseline (2012-2015), will be compared to follow-up data in 2016-2019 based on questionnaire and pay-roll based objective working hour and sickness absence data among those who a) use an interactive self-rostering software with a shift ergonomics sub-tool, b) whose working hours are designed with a non-interactive shift planning software with the shift ergonomics sub-tool and c) whose working hours are designed with a non-interactive shift planning software without the shift ergonomics sub-tool.
Status | Completed |
Enrollment | 9000 |
Est. completion date | February 28, 2023 |
Est. primary completion date | February 28, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion criteria: - All hospital workers in the hospital wards (clusters) of six hospital districts in Finland - Working hours are planned with Titania software (1-3) starting from 9/2015 for at least one year - Employees who have answered a questionnaire sent to all current employees of the organizations in 2015 - Employees who will answer to similar questionnaire in 2017 and/or 2019. Exclusion Criteria: - Physicians (due to on-call work not registered in the database) - Employees who have less than 120 working days (approx.6 months without leaves) before and after the use of the software |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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Finnish Institute of Occupational Health | CGI Finland Ltd, Helsinki, Finland, European Union Horizon2020 Call:H2020-SC1-DTH-2018-2020, Finnish Work Environment Fund, NordForsk, Nordic Program on Health and Welfare, Oslo, Norway |
Ala-Mursula L, Vahtera J, Kivimaki M, Kevin MV, Pentti J. Employee control over working times: associations with subjective health and sickness absences. J Epidemiol Community Health. 2002 Apr;56(4):272-8. doi: 10.1136/jech.56.4.272. — View Citation
Des Jarlais DC, Lyles C, Crepaz N; TREND Group. Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. Am J Public Health. 2004 Mar;94(3):361-6. doi: 10.2105/ajph.94.3.361. — View Citation
Goldberg D, Williams P. 1988. A user´s guide to the General Health Questionnaire. Berkshire: UK. NFER-Nelson.
Hansen AM, Nabe-Nielsen K, Albertsen K, Hogh A, Lund H, Hvid H, Garde AH. Self-rostering and psychosocial work factors - a mixed methods intervention study. Appl Ergon. 2015 Mar;47:203-10. doi: 10.1016/j.apergo.2014.10.006. Epub 2014 Oct 22. — View Citation
Harma M, Ropponen A, Hakola T, Koskinen A, Vanttola P, Puttonen S, Sallinen M, Salo P, Oksanen T, Pentti J, Vahtera J, Kivimaki M. Developing register-based measures for assessment of working time patterns for epidemiologic studies. Scand J Work Environ Health. 2015 May 1;41(3):268-79. doi: 10.5271/sjweh.3492. Epub 2015 Mar 19. — View Citation
Idler EL, Angel RJ. Self-rated health and mortality in the NHANES-I Epidemiologic Follow-up Study. Am J Public Health. 1990 Apr;80(4):446-52. doi: 10.2105/ajph.80.4.446. — View Citation
Karhula K, Hakola T, Koskinen A, Lallukka T, Ojajarvi A, Puttonen S, Oksanen T, Rahkonen O, Ropponen A, Harma M. Ageing shift workers' sleep and working-hour characteristics after implementing ergonomic shift-scheduling rules. J Sleep Res. 2021 Aug;30(4): — View Citation
Karhula K, Turunen J, Hakola T, Ojajarvi A, Puttonen S, Ropponen A, Kivimaki M, Harma M. The effects of using participatory working time scheduling software on working hour characteristics and wellbeing: A quasi-experimental study of irregular shift work. — View Citation
OARS. 1978. Multidimensional functional assessment: The OARS methodology (2nd ed.). Durham, NC: Duke University.
Shiri R, Karhula K, Turunen J, Koskinen A, Ropponen A, Ervasti J, Kivimaki M, Harma M. The Effect of Using Participatory Working Time Scheduling Software on Employee Well-Being and Workability: A Cohort Study Analysed as a Pseudo-Experiment. Healthcare (B — View Citation
Turunen J, Karhula K, Ropponen A, Koskinen A, Hakola T, Puttonen S, Hamalainen K, Pehkonen J, Harma M. The effects of using participatory working time scheduling software on sickness absence: A difference-in-differences study. Int J Nurs Stud. 2020 Dec;11 — View Citation
Turunen J, Karhula K, Ropponen A, Koskinen A, Shiri R, Sallinen M, Ervasti J, Pehkonen J, Harma M. The Time-Varying Effect of Participatory Shift Scheduling on Working Hour Characteristics and Sickness Absence: Evidence from a Quasi-Experiment in Hospital — View Citation
* Note: There are 12 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Sickness absence | Length (1-365 days/year) of sickness absence and frequency of sickness absence spells (i.e. frequency of all sickness absence periods within 1-365 days/year) obtained from the pay-roll based objective working hour data including dates of absence due to sickness without information on the medical cause of the sickness absence. | approx. 8 years (from 2012 to 2019) | |
Secondary | Changes in objective shift characteristics | Length of working hours, time of the day (when worked), shift intensity and social aspects of working hours (Härmä et al. 2015) obtained from the pay-roll based objective working hour data. | approx. 5 years (from 2015 to 2017/2019) | |
Secondary | Work-life interaction | Questionnaire data on the work-family and family-work interaction with a 6-point scale (0 = no family, from 1 never to 5 very often), and general situation in life with a 6-point scale (from 1=easy to 6=extremely hard) | approx. 5 years (from 2015 to 2017/2019 | |
Secondary | Self-rated health | Questionnaire data on perceived subjective health with a 5-point scale from 1=good to 5=poor (OARS 1978, Idler et al. 1990) | approx. 5 years (from 2015 to 2017/2019) | |
Secondary | Perceived work-time control | Starting and ending times of a workday, taking breaks during workday, handling private matters during workday, scheduling of work shifts, scheduling of vacations and paid days off, and taking unpaid leave (Ala-Mursula et al. 2002) | approx. 5 years (from 2015 to 2017/2019) | |
Secondary | Shift-specific insomnia and sleepiness | Questionnaire data with following questions: How often you have had severe sleepiness during the past three months, and how often you have had insomnia (difficulties in initiating sleep, difficulties in maintaining sleep and frequent awakenings during sleep) during the past three months (ICSD-3 classification), both questions with regard to morning shifts, evening shifts, night shifts, and during days off from work and during at least two weeks´ vacation. | approx. 5 years (from 2015 to 2017/2019) | |
Secondary | Mental health problems | Questionnaire data on GHQ12 -measure. The four response choices 0 "Not at all", 1 "Same as usual", 2 "Rather more than usual" and 3 "Much more than usual" will be dichotomized as follows: 0=0, 1=0, 2=1, 3=1. GHQ-12 case = 3 points. (Goldberg & Williams 1988) | approx. 5 years (from 2015 to 2017/2019) | |
Secondary | Cost-benefit- and cost-effectiveness-ratios | Economic benefits measured as changes in sickness absence and use of replacement labour (based on pay-roll based working hour data), changes in disability pension experience rating (based on employer registers), changes in intentions to continue in current work (questionnaire data on intentions in continuing at current work if it were possible to switch workplace or occupation: continue at current work, switch workplace, switch occupation, give up working. Intentions in continuing working or retiring if it were possible to retire: continue working, retiring, don't know) and changes in perceived pecuniary and nonpecuniary benefits (questionnaire data on perceived pecuniary and nonpecuniary benefits on 5-point scale from 1= very much to 5 = very little). Costs include all the costs related to intervention such as purchase, maintenance, training and use of Titania (based on employer registers). | approx. 5 years (from 2015 to 2017/2019) | |
Secondary | Focus group interview | Thematic interviews in each participating organization to gather end-user, shift-planner and employers´ attitudes, change processes and experiences on using the Titania and sub-tools. | approx. 3 years (from 2015 to the end of the fisrt phase of the intervention 2017) |
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