The Focus of the Study is Shift Work
Conditions
Brief summary
The aim of COMPRESSED is to investigate the potential consequences of a compressed work schedule within the municipal health, care and welfare services.
Detailed description
The aim of COMPRESSED is to investigate the potential consequences of a compressed work schedule within the municipal health, care and welfare services. A compressed work schedule is defined by an increase in numbers of hours per day, and a reduction of number of days per week. Compressed work schedules are advocated as a tool to reduce involuntary part-time contracts, and improve employee recruitment and retention, as well as improve employee health and quality of care. However, the empirical support of such claims is limited, mixed, and suffers from several methodological shortcomings. There is a clear lack in studies investigating the potential moderating and mediating mechanisms, despite moderating variables such as shift intensity being likely to have an impact. In collaboration with unions and employers, COMPRESSED uses a longitudinal mixed method design, to investigate the short- and long-term consequences of compressed work schedules, as well as potential moderating and mediating variables. Each of the research questions will be addressed with complimentary methods in each of the work packages. The project COMPRESSED will examine: In-depth narrative interviews eliciting employees', employers', and patients'/users' own perceptions of consequences, moderators and mechanisms. A retrospective intervention study using registry data, examining compressed work schedules implemented over the past 5 years. A two year longitudinal survey looking at long-term effects and 4) a diary study across two weeks, looking at short-term effects.
Interventions
OTHERNo intervention
No intervention
Sponsors
The Research Council of Norway
University of Oslo
Maastricht University
Oslo Metropolitan University
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Inclusion criteria
* Employed within the municipal health, care and welfare services.
Exclusion criteria
\-
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Intention to quit | 2027 | (Kuvaas, 2006). |
| Quality of care | 2027 | From COPSOQ |
| Care left undone | 2027 | adapted from (Senek et al., 2020) and a measure by (Ball, Murrells, Rafferty, Morrow, & Griffiths, 2014) informed by the validated Basel Extent of Rationing of Nursing scale (Schubert et al., 2008). |
| Featigue | 2027 | Fatigue General Fatigue scale from the Checklist of Individual Strength (CIS-20; Vercoulen et al., 1994) |
| Mental health | 2027 | Hopkins Symptom Checklist (SCL-5) |
| Generell helse | 2027 | The general health measure from the Short-Form Health Survey (SF-36) (Ware, 1992) |
| Sickness absence | 2027 | self-repport and regestry data |
| Occupational commitment | 2027 | (Tam, Korczynski, & Frenkel, 2002) |
| Regestry-data | 2027 | We will attempt to measure 1. Health, 2 recruitment and retention and 3. Quality of care, using registry data. And important part of the project will be to explore how these aspects are best measured using registry data. Their final operationalization is therefore not set. |
Outcome results
None listed