National Recommendations for Shift Scheduling in Healthcare: A 5-Year Prospective Cohort Study on Working Hour Characteristics

Härmä, Mikko; Shiri, Rahman; Ervasti, Jenni; Karhula, Kati; Turunen, Jarno; Koskinen, Aki; Ropponen, Annina; Sallinen, Mikael

doi:10.2139/ssrn.4084020

Cited by 1 publication

(5 citation statements)

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“…This study was based on the ongoing Working Hours in the Finnish Public Sector Study32 33 with payroll-based register data of working hours for 2008–2019. To ensure follow-up across years and to exclude those with exceptionally long absences (due to sickness, parental leave or other reasons) and very short working periods, we restricted the sample to those with ≥31 work shifts/year in 3 consecutive years during 2008–2019.…”

Section: Methodsmentioning

confidence: 99%

“…In Finland, the hospital districts (45% of the final sample) are responsible for specialised healthcare services providing both specialised outpatient and inpatient care. The healthcare employees in the cities (55% of the final sample) are those working at primary healthcare, including, for example, health centres and local hospitals for elderly and chronically ill people providing 24/7 care, or home care for the disabled 33…”

Section: Methodsmentioning

confidence: 99%

“…In this study, we used annual working hours and sickness absence data from 2008 to 2019 as has been described in detail before 32 33. Part-time work was based on work contract information and coded yes or no for each year based on the annual median.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…The healthcare employees in the cities (55% of the final sample) are those working at primary healthcare, including, for example, health centres and local hospitals for elderly and chronically ill people providing 24/7 care, or home care for the disabled. 33 In this study, we used annual working hours and sickness absence data from 2008 to 2019 as has been described in detail before. 32 33 Part-time work was based on work contract information and coded yes or no for each year based on the annual median.…”

Section: Methodsmentioning

confidence: 99%

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Concurrent trajectories of part-time work and sickness absence: a longitudinal cohort study over 11 years among shift working hospital employees

Ropponen,

Ervasti,

Härmä

2023

BMJ Open

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ObjectivesTo investigate the concurrent changes in part-time work and sickness absence (SA) in healthcare. Another aim was to investigate the role of age and sex on different concurrent trajectory groups.DesignProspective cohort study.SettingPublic hospital districts (n=10) and cities (n=11) in Finland.ParticipantsPayroll-based objective working hour data of the healthcare sector in Finland for 28 969 employees in 2008–2019 were used. The final sample included those working shifts with 3 consecutive years of data and without baseline (≥14 days) SA.Primary outcomesPart-time work (yes or no) and months of SA.MeasuresGroup-based trajectory modelling to identify concurrent changes in part-time work, and months of SA while controlling the time-variant amount of night work and multinomial regression models for relative risk (RR) with 95% CIs were used.ResultsFour-group trajectory model was the best solution: group 1 (61.2%) with full-time work and no SA, group 2 (16.9%) with slowly increasing probability of part-time work and low but mildly increasing SA, group 3 (17.6%) with increasing part-time work and no SA, and group 4 (4.3%) with fluctuating, increasing part-time work and highest and increasing levels of SA. Men had a lower (RR 0.49–0.75) and older age groups had a higher likelihood (RRs 1.32–3.79) of belonging to trajectory groups 2–4.ConclusionsMost of the sample were in the trajectory group with full-time work and no SA. The probability of part-time work increased over time, linked with concurrent low increase or no SA. A minor group of employees had both an increased probability of part-time work and SA. Part-time work and other solutions might merit attention to promote sustainable working life among healthcare employees.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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