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NCT Number: NCT05784324

COMPRESSED - A Longitudinal Study of Compressed Work Schedules Within the Health, Care and Welfare Services

The aim of COMPRESSED is to investigate the potential consequences of a compressed work schedule within the municipal health, care and welfare services.

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Key information

Sex eligibility

All sexes

Study type

Observational

About this study

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.

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Employed within the municipal health, care and welfare services.

Exclusion criteria

-

Treatment and study plan

No intervention

Other

No intervention

Primary outcomes

  1. Featigue

    Time frame: 2027

    Fatigue General Fatigue scale from the Checklist of Individual Strength (CIS-20; Vercoulen et al., 1994)

  2. Mental health

    Time frame: 2027

    Hopkins Symptom Checklist (SCL-5)

  3. Generell helse

    Time frame: 2027

    The general health measure from the Short-Form Health Survey (SF-36) (Ware, 1992)

  4. Sickness absence

    Time frame: 2027

    self-repport and regestry data

  5. Quality of care

    Time frame: 2027

    From COPSOQ

  6. Care left undone

    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).

  7. Intention to quit

    Time frame: 2027

    (Kuvaas, 2006).

  8. Occupational commitment

    Time frame: 2027

    (Tam, Korczynski, & Frenkel, 2002)

  9. Regestry-data

    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.

Sponsors and collaborators

Lead sponsor

Oslo Metropolitan University

Other

Collaborators

  • Maastricht University
  • The Research Council of Norway
  • University of Oslo

Registry information

Important dates

Study start
2023
Primary completion
2025
Study completion
2027
First posted
Mar 24, 2023
Registry last updated
Mar 24, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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.