Evidence map›Paper›PMID 34862275›Full record

ArticleBMJ open2021

Intervention targeted at physicians' treatment of musculoskeletal disorders and sickness certification: an interrupted time series analysis.

Johanna Kausto, Tom Henrik Rosenström, Jenni Ervasti, Olli Pietiläinen, Leena Kaila-Kangas, Ossi Rahkonen, Jaakko Harkko, Ari Väänänen, Anne Kouvonen, Tea Lallukka

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  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

10 authors.

Johanna KaustoFinnish Institute of Occupational Health, Helsinki, Finland johanna.kausto@ttl.fi.ORCID 0000-0002-2898-0018
Tom Henrik RosenströmDepartment of Psychology and Logopedics, University of Helsinki Faculty of Medicine, Helsinki, Finland.
Jenni ErvastiFinnish Institute of Occupational Health, Helsinki, Finland.ORCID 0000-0001-9113-2428
Olli PietiläinenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Leena Kaila-KangasFinnish Institute of Occupational Health, Helsinki, Finland.
Ossi RahkonenDepartment of Public Health, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-7202-3274
Jaakko HarkkoFaculty of Social Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-8682-1544
Ari VäänänenFinnish Institute of Occupational Health, Helsinki, Finland.
Anne KouvonenFaculty of Social Sciences, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-6997-8312
Tea LallukkaDepartment of Public Health, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-3841-3129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAn intervention was carried out at the occupational healthcare services (OHS) of the City of Helsinki beginning in 2016. We investigated the association between the intervention and employee sick leaves using interrupted time series analysis.

designRegister-based cohort study with a quasi-experimental study design.

settingEmployees of the City of Helsinki.

participantsWe analysed individual-level register-based data on all employees who were employed by the city for any length of time between 2013 and 2018 (a total 86 970 employees and 3 014 075 sick leave days). Sick leave days and periods that were OHS-based constituted the intervention time series and the rest of the sick leave days and periods contributed to the comparison time series.

interventionRecommendations provided to physicians on managing pain and prescribing sick leave for low back, shoulder and elbow pain. OUTCOME MEASURES: Number of sick leave days per month and sick leave periods per year.

resultsFor all sick leave days prescribed at OHS, there was no immediate change in sick leave days, whereas a gradual change showing decreasing number of OHS-based sick leave days was detected. On average, the intervention was estimated to have saved 2.5 sick leave days per year per employee. For other sick leave days, there was an immediate increase in the level of sick leave days after the intervention and a subsequent gradual trend showing decreasing number of sick leave days.

conclusionsThe intervention may have reduced employee sick leaves and therefore it is possible that it had led to direct cost savings. However, further evidence for causal inferences is needed.

Indexed as

Musculoskeletal DiseasesPhysiciansCertificationCohort StudiesHumansInterrupted Time Series AnalysisSick Leavemusculoskeletal disordersoccupational & industrial medicinepublic health

Identifiers

PMID34862275
PMCPMC8647396

What OpenQuestion holds

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Registered trials

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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.