Evidence map›Paper›PMID 30714580›Full record

ArticleRMD open2018

Workforce requirements in rheumatology: a systematic literature review informing the development of a workforce prediction risk of bias tool and the EULAR points to consider.

Julia Unger, Polina Putrik, Frank Buttgereit, Daniel Aletaha, Gerolamo Bianchi, Johannes W J Bijlsma, Annelies Boonen, Nada Cikes, João Madruga Dias, Louise Falzon and 11 more

Abstract read
In one paragraph

Article in RMD open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Diagnostic delays in systemic vasculitides.Rheumatology international · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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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

21 authors.

Julia Unger *Department of Health Studies, Institute of Occupational Therapy, FH JOANNEUM University of Applied Sciences, Bad Gleichenberg, Austria.
Polina Putrik *Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center and CAPHRI Research Institute, Maastricht, The Netherlands.
Frank ButtgereitDepartment of Rheumatology and Clinical Immunology, Charitè University Medicine, Berlin, Germany.
Daniel AletahaDivision of Rheumatology, Medical University Vienna, Vienna, Austria.
Gerolamo BianchiDivision of Rheumatology, ASL3-Azienda Sanitaria Genovese, Genova, Italy.
Johannes W J BijlsmaDepartment of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Annelies BoonenDepartment of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center and CAPHRI Research Institute, Maastricht, The Netherlands.
Nada CikesDivision of Clinical Immunology & Rheumatology, University of Zagreb School of Medicine, Zagreb, Croatia.
João Madruga DiasDepartment of Rheumatology, Centro Hospitalar Médio Tejo, Torres Novas, Portugal.
Louise FalzonColumbia University Medical Center, New York City, New York, USA.
Axel FinckhDivision of Rheumatology, University Hospital of Geneva, Geneva, Switzerland.
Laure GossecRheumatology Department, Sorbonne Université, Paris, and Pitié Salpêtrière Hhospital APHP, Paris, France.
Tore K KvienDepartment of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway.
Eric L MattesonDivision of Rheumatology and Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Francisca SiveraDepartment of Rheumatology, Hospital General Universitario de Elda, Elda, Spain.
Tanja A StammSection for Outcomes Research, Medical Unversity Viennna, Center for Medical Statistics, Informatics, and Intelligent Systems, Vienna, Austria.ORCID 0000-0003-3073-7284
Zoltan SzekaneczFaculty of Medicine, Department of Internal Medicine, Division of Rheumatology, University of Debrecen, Debrecen, Hungary.
Dieter WiekEULAR Standing Committee of PARE, Zurich, Switzerland.
Angela ZinkDepartment of Rheumatology and Clinical Immunology, Charitè University Medicine, Berlin, Germany.
Christian DejacoDepartment of Rheumatology, Hospital of Bruneck, Bruneck, Italy.ORCID 0000-0002-0173-0668
Sofia RamiroDepartment of Rheumatology, Leiden University Medical Centre, Leiden, and Zuyderland Medical Center, Heerlen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo summarise the available information on physician workforce modelling, to develop a rheumatology workforce prediction risk of bias tool and to apply it to existing studies in rheumatology.

methodsA systematic literature review (SLR) was performed in key electronic databases (1946-2017) comprising an update of an SLR in rheumatology and a hierarchical SLR in other medical fields. Data on the type of workforce prediction models and the factors considered in the models were extracted. Key general as well as specific need/demand and supply factors for workforce calculation in rheumatology were identified. The workforce prediction risk of bias tool was developed and applied to existing workforce studies in rheumatology.

resultsIn total, 14 studies in rheumatology and 10 studies in other medical fields were included. Studies used a variety of prediction models based on a heterogeneous set of need/demand and/or supply factors. Only two studies attempted empirical validation of the prediction quality of the model. Based on evidence and consensus, the newly developed risk of bias tool includes 21 factors (general, need/demand and supply). The majority of studies revealed high or moderate risk of bias for most of the factors.

conclusionsThe existing evidence on workforce prediction in rheumatology is scarce, heterogeneous and at moderate or high risk of bias. The new risk of bias tool should enable future evaluation of workforce prediction studies. This review informs the European League Against Rheumatism points to consider for the conduction of workforce requirement studies in rheumatology.

Indexed as

autoimmune diseaseseconomic evaluationshealth services researchquality indicators

Identifiers

PMID30714580
PMCPMC6336097

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.