Evidence map›Paper›PMID 39627785›Full record

Trial reportBMC musculoskeletal disorders2024

Modifiable prognostic factors of high societal costs among people on sick leave due to musculoskeletal disorders: a replication study.

Rikke Munk Killingmo, Tarjei Rysstad, Esther Maas, Are Hugo Pripp, Fiona Aanesen, Alexander Tingulstad, Anne Therese Tveter, Britt Elin Øiestad, Margreth Grotle

Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03871712 (Return to Work for People With Musculoskeletal Disorders), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT03871712 nacompletednot on this map

Return to Work for People With Musculoskeletal Disorders: A Randomized Controlled Trial of the Effectiveness of Usual Case Management Compared to Usual Case Management Plus Motivational Interviewing or Stratified Vocational Advice Intervention. The MI-NAV Study

TypeinterventionalSponsorOslo Metropolitan UniversityRan2019 to 2024Enrolled450ConditionsMusculoskeletal Disease, Musculoskeletal PainArmsMotivational interview, Stratified vocational advice
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

9 authors.

Rikke Munk KillingmoDepartment of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway. rikke@oslomet.no.
Tarjei RysstadDepartment of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.
Esther MaasDepartment of Health Sciences, Faculty of Science, Vrije University Amsterdam, Amsterdam, The Netherlands.
Are Hugo PrippDepartment of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.
Fiona AanesenNational Institute of Occupational Health, Oslo, Norway.
Alexander TingulstadThe Norwegian Medicines Agency, Oslo, Norway.
Anne Therese TveterDepartment of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.
Britt Elin ØiestadDepartment of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.
Margreth GrotleDepartment of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.

Funding

Norges Forskningsråd 280431Norwegian Fund for Post-Graduate Training in Physiotherapy 285503
6 · The paper itself

Abstract

backgroundMusculoskeletal disorders are an extensive burden to society, yet few studies have explored and replicated modifiable prognostic factors associated with high societal costs. This study aimed to replicate previously identified associations between nine modifiable prognostic factors and high societal costs among people on sick leave due to musculoskeletal disorders.

methodsPooled data from a three-arm randomised controlled trial with 6 months of follow-up were used, including 509 participants on sick leave due to musculoskeletal disorders in Norway. Consistent with the identification study, the primary outcome was societal costs dichotomised as high (top 25th percentile) or low. Societal costs included healthcare utilization (primary, secondary, and tertiary care) and productivity loss (absenteeism, work assessment allowance and disability benefits) collected from public records. Binary unadjusted and adjusted logistic regression analyses were used to replicate previously identified associations between each modifiable prognostic factor and having high costs.

resultsAdjusted for selected covariates, a lower degree of return-to-work expectancy was associated with high societal costs in both the identification and replication sample. Depressive symptoms and health literacy showed no prognostic value in both the identification and replication sample. There were inconsistent results with regards to statistical significance across the identification and replication sample for pain severity, self-perceived health, sleep quality, work satisfaction, disability, and long-lasting disorder expectation. Similar results were found when high costs were related to separately healthcare utilization and productivity loss.

conclusionThis study successfully replicated the association between return-to-work expectancy and high societal costs among people on sick leave due to musculoskeletal disorders. Other factors showed no prognostic value or inconsistent results.

trial registrationClinicalTrials.gov NCT03871712, 12th of March 2019.

Indexed as

AbsenteeismCost of IllnessMusculoskeletal DiseasesSick LeaveAdultFemaleFollow-Up StudiesHealth Care CostsHumansMaleMiddle AgedNorwayPrognosisReturn to WorkCostsHealthcare utilizationMusculoskeletal disordersProductivity lossPrognostic factor research

Identifiers

PMID39627785
PMCPMC11613927

What OpenQuestion holds

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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.