No intervention
OtherNo intervention
NCT Number: NCT05784324
The aim of COMPRESSED is to investigate the potential consequences of a compressed work schedule within the municipal health, care and welfare services.
Trial opening soon.
Get NotifiedThe 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.
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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No intervention
Time frame: 2027
Fatigue General Fatigue scale from the Checklist of Individual Strength (CIS-20; Vercoulen et al., 1994)
Time frame: 2027
Hopkins Symptom Checklist (SCL-5)
Time frame: 2027
The general health measure from the Short-Form Health Survey (SF-36) (Ware, 1992)
Time frame: 2027
self-repport and regestry data
Time frame: 2027
From COPSOQ
Time frame: 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).
Time frame: 2027
(Kuvaas, 2006).
Time frame: 2027
(Tam, Korczynski, & Frenkel, 2002)
Time frame: 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.
Oslo Metropolitan University
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.