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

March 22, 2023 updated by: Oslo Metropolitan University
The aim of COMPRESSED is to investigate the potential consequences of a compressed work schedule within the municipal health, care and welfare services.

Study Overview

Status

Not yet recruiting

Intervention / Treatment

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.

Study Type

Observational

Enrollment (Anticipated)

700000

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Employes within the municipal health, care and welfare service

Description

Inclusion Criteria:

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

Exclusion Criteria:

-

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Employees within the municipal health, care and welfare services
All employees within the municipal health, care and welfare services. No internvention. We investigate the relationship between caracteristics of their shift systems and potential outcomes.
No intervention
Employees within the municipal health, care and welfare services 2
Employees within the municipal health, care and welfare services, replying to a survey. Sample is drawn by representative unions. No internvention. We investigate the relationship between caracteristics of their shift systems and potential outcomes.
No intervention
Users of the municipal health, care and welfare services.
Users of the municipal health, care and welfare services.No internvention. We investigate the relationship between caracteristics of the shift systems worked and potential outcomes for users.
No intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Featigue
Time Frame: 2027
Fatigue General Fatigue scale from the Checklist of Individual Strength (CIS-20; Vercoulen et al., 1994)
2027
Mental health
Time Frame: 2027
Hopkins Symptom Checklist (SCL-5)
2027
Generell helse
Time Frame: 2027
The general health measure from the Short-Form Health Survey (SF-36) (Ware, 1992)
2027
Sickness absence
Time Frame: 2027
self-repport and regestry data
2027
Quality of care
Time Frame: 2027
From COPSOQ
2027
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).
2027
Intention to quit
Time Frame: 2027
(Kuvaas, 2006).
2027
Occupational commitment
Time Frame: 2027
(Tam, Korczynski, & Frenkel, 2002)
2027
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.
2027

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

June 1, 2023

Primary Completion (Anticipated)

February 1, 2025

Study Completion (Anticipated)

December 12, 2027

Study Registration Dates

First Submitted

December 20, 2022

First Submitted That Met QC Criteria

March 22, 2023

First Posted (Actual)

March 24, 2023

Study Record Updates

Last Update Posted (Actual)

March 24, 2023

Last Update Submitted That Met QC Criteria

March 22, 2023

Last Verified

December 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • 202316

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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