Evidence map›Paper›PMID 32450820›Full record

Observational studyBMC musculoskeletal disorders2020

Risk assessment for prolonged sickness absence due to musculoskeletal disorders: protocol for a prospective cohort study.

Anne Therese Tveter, Britt Elin Øiestad, Tarjei Langseth Rysstad, Fiona Aanesen, Alexander Tingulstad, Milada Cvancarova Småstuen, Margreth Grotle

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04196634 (Risk Assessment for Prolonged Sickness Absence Due to Musculoskeletal Conditions), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04196634 unknown statusnot on this map

Risk Assessment for Prolonged Sickness Absence Due to Musculoskeletal Conditions

TypeobservationalSponsorOslo Metropolitan UniversityRan2018 to 2023Enrolled560ConditionsMusculoskeletal Pain DisorderArmsRisk assessment
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Anne Therese TveterDepartment of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University, St.Olavs plass, 0130, Oslo, Norway. anthtv@oslomet.no.ORCID http://orcid.org/0000-0003-1701-9835
Britt Elin ØiestadDepartment of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University, St.Olavs plass, 0130, Oslo, Norway.
Tarjei Langseth RysstadDepartment of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University, St.Olavs plass, 0130, Oslo, Norway.
Fiona AanesenDepartment of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University, St.Olavs plass, 0130, Oslo, Norway.
Alexander TingulstadDepartment of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University, St.Olavs plass, 0130, Oslo, Norway.
Milada Cvancarova SmåstuenDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
Margreth GrotleDepartment of Physiotherapy, Faculty of Health Sciences, Oslo Metropolitan University, St.Olavs plass, 0130, Oslo, Norway.
OsloMet – Oslo Metropolitan University · NOOslo University Hospital · NO

Funding

Norges Forskningsråd 280431
6 · The paper itself

Abstract

backgroundMusculoskeletal disorders are the leading cause of sickness absence and disability pension in Norway. There is strong evidence that long-term sickness absence due to musculoskeletal disorders are associated with a reduced probability of return to work (RTW). A way to meet the economic and resource-demanding challenges related to individual follow-up of this group is to identify and treat those individuals with a high risk of prolonged sickness. The overall purposes of this project are 1) to determine the most accurate screening tool to identify people at a high risk of prolonged sickness absence due to an musculoskeletal disorder, and 2) to investigate severity of musculoskeletal health, health-related quality-of-life, health care utilization, and costs across different risk profiles in people on sick leave due to a musculoskeletal disorder.

methodsPeople older than 18 years of age on sick leave for at least 4 weeks due to a musculoskeletal disorder will be invited to participate in this prospective observational cohort study conducted within the Norwegian Welfare and Labor Administration (NAV) system in collaboration with OsloMet - Oslo Metropolitan University. The main outcome is sickness absence, obtained from the NAV registry. Data on sickness absence will be retrieved prospectively in the period from study inclusion to 12 months follow-up, and retrospectively 12 months before inclusion in the study. Possible risk factors will be self-reported by the participants at inclusion while health care utilization will be retrieved from registry data. To conduct analyses including 15 to 20 predictor variables, we aim at including 500-600 people on sick leave due to musculoskeletal disorders. DISCUSSION: This study may provide tools that can be used to identify individuals with high risk of prolonged sickness absence and may thus be important from both a socioeconomic and individual perspective. Further, the study may give valuable insight into identification of sickness absence profiles and the associations between these profiles and musculoskeletal health status, health-related quality of life and costs.

trial registrationRetrospectively registered in ClinicalTrials.gov (NCT04196634, 27.11.2019).

Indexed as

AbsenteeismFemaleHumansLogistic ModelsMaleMusculoskeletal DiseasesNorwayProspective StudiesQuality of LifeRegistriesResearch DesignReturn to WorkRisk AssessmentSelf ReportSick Leave

Identifiers

PMID32450820
PMCPMC7249352
OpenAlexW3030490778

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.