Literature DB >> 32736788

The effects of using participatory working time scheduling software on sickness absence: A difference-in-differences study.

Jarno Turunen1, Kati Karhula2, Annina Ropponen2, Aki Koskinen2, Tarja Hakola2, Sampsa Puttonen2, Kari Hämäläinen3, Jaakko Pehkonen4, Mikko Härmä2.   

Abstract

BACKGROUND: Participatory working time scheduling is a collaborative approach to scheduling shift work. As a potential way of improving work time control, it may provide a means to reducing sickness absence in shift work. So far, experimental and quasi-experimental studies on the effects of increased work time control on sickness absence are lacking.
OBJECTIVE: To investigate the effects of using digital participatory working time scheduling software on ward-level sickness absence among Finnish hospital employees. PARTICIPANTS AND METHODS: This quasi-experimental study compared the amount of sickness absence in hospital wards using a participatory working time scheduling software (n=121 wards) and those continuing with traditional working time scheduling (n=117 wards) between 2014 and 2017. We used continuous panel data from 238 hospital wards with a total number of 9000 hospital employees (89% of women, primarily nursing staff). The ward-level measures consisted of number of employees, working hours, sickness absence spells per employee, and short (1-3) sickness absence days per employee. Two-way fixed effects and event study regressions with clustered standard errors were used to estimate the effect of using participatory scheduling software on sickness absence.
RESULTS: Sickness absence spells and short (1-3) sickness absence days decreased by 6% and 7%, respectively in the wards using participatory scheduling compared to those using traditional scheduling. The effect became stronger as the time measured in quarters of using the participatory working time scheduling software increased.
CONCLUSIONS: The effects of using participatory working time scheduling software indicated less ward-level sickness absence measured as spells and days in comparison to continuing with traditional scheduling. The encouraging findings are relevant not only to the health care sector but also to other sectors in which irregular shift work is a necessity. This study was registered with ClinicalTrials.gov (NCT02775331) before starting the intervention phase.
Copyright © 2020. Published by Elsevier Ltd.

Entities:  

Keywords:  Health care; Nursing; Self-rostering; Shift work; Sickness absence; Work time control

Mesh:

Year:  2020        PMID: 32736788     DOI: 10.1016/j.ijnurstu.2020.103716

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  6 in total

1.  The Effect of Worktime Control on Overtime Employees' Mental Health and Work-Family Conflict: The Mediating Role of Voluntary Overtime.

Authors:  Jiaoyang Yu; Stavroula Leka
Journal:  Int J Environ Res Public Health       Date:  2022-03-22       Impact factor: 3.390

2.  Shift work in nursing: closing the knowledge gaps and advancing innovation in practice.

Authors:  Chiara Dall'Ora; Anna Dahlgren
Journal:  Int J Nurs Stud       Date:  2020-08-07       Impact factor: 5.837

Review 3.  Nurses' experiences and preferences around shift patterns: A scoping review.

Authors:  Ourega-Zoé Ejebu; Chiara Dall'Ora; Peter Griffiths
Journal:  PLoS One       Date:  2021-08-16       Impact factor: 3.240

4.  Student nurses' views on shift patterns: What do they prefer and why? Results from a Tweetchat.

Authors:  Chiara Dall'Ora; Jessica Sainsbury; Chris Allen
Journal:  Nurs Open       Date:  2022-03-21

Review 5.  Because they're worth it? A discussion paper on the value of 12-h shifts for hospital nursing.

Authors:  Chiara Dall'Ora; Ourega-Zoé Ejebu; Peter Griffiths
Journal:  Hum Resour Health       Date:  2022-05-07

6.  Patterns of working hour characteristics and risk of sickness absence among shift-working hospital employees: a data-mining cohort study.

Authors:  Tom Rosenström; Mikko Härmä; Mika Kivimäki; Jenni Ervasti; Marianna Virtanen; Tarja Hakola; Aki Koskinen; Annina Ropponen
Journal:  Scand J Work Environ Health       Date:  2021-03-31       Impact factor: 5.024

  6 in total

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