Evidence map›Paper›PMID 37200737›Full record

ArticleFrontiers in rehabilitation sciences2023

Mapping information regarding the work-related disability of depression and long-term musculoskeletal pain to the International Classification of Functioning, Disability and Health and ICF Core Sets.

Magdalena Fresk, Wilhelmus J A Grooten, Nina Brodin, Lars G Backlund, Britt Arrelöv, Ylva Skånér, Anna Kiessling

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06726135 (The National Rehabilitation Centre Dataset. Development of a Minimum Dataset for Multidisciplinary Rehabilitation), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT06726135 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

The National Rehabilitation Centre Dataset. Development of a Minimum Dataset for Multidisciplinary Rehabilitation: a Modified E-Delphi Study

Typeobservational_patient_registrySponsorThomasCorbettRan2025 to 2025Enrolled50ConditionsPain, Traumatic Brain Injury, Major Trauma, Multiple Sclerosis
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

7 authors.

Magdalena FreskDepartment of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.
Wilhelmus J A GrootenDepartment of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Huddinge, Sweden.
Nina BrodinDepartment of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Huddinge, Sweden.
Lars G BacklundDepartment of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.
Britt ArrelövDepartment of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.
Ylva SkånérDepartment of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.
Anna KiesslingDepartment of Clinical Sciences, Danderyds Hospital, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The International Classification of Functioning, Disability and Health is the WHO coding scheme for functioning-related data. Clear and unambiguous information regarding patients' work-related disabilities is important not only for the assessment of entitlement to paid sickness benefits but also for planning rehabilitation and return to work. The objective was to validate the content of ICF and ICF Core Sets for information on work-related disability in sick leave due to depression and long-term musculoskeletal pain. Specific aims: To describe to what extent (1) such data could be linked to ICF and (2) the result of the ICF linking in terms of ICF categories was represented in relevant ICF Core Sets. Methods: An ICF-linking study following the ICF-linking rules. A random sample of sick leave certificates issued in primary care for either depression ( Results: The results of the ICF linking consisted of codings for (1) ICF categories and (2) other health information not possible to link to ICF. The ICF categories were compared to ICF Core Sets for coverage. The majority of the meaning units, 83% for depression and 75% for long-term musculoskeletal pain, were linked to ICF categories. The Comprehensive ICF Core Set for depression covered 14/16 (88%) of the ICF categories derived from the ICF linking. The corresponding figures were lower for both the Brief ICF Core Set for depression 7/16 (44%) and ICF Core Set for disability evaluation in social security 12/20 (60%). Conclusion: The results indicates that ICF is a feasible code scheme for categorising information on work-related disability in sick leave certificates for depression and long-term musculoskeletal pain. As expected, the Comprehensive ICF Core Set for depression covered the ICF categories derived from the certificates for depression to a high degree. However, the results indicate that (1) sleep- and memory functions should be added to the Brief ICF Core Set for depression, and (2) energy-, attention- and sleep functions should be added to the ICF Core Set for disability evaluation in social security when used in this context.

Indexed as

depressiondisability evaluation (MeSH)functional status (MeSH)ICF (international classification of functioning disability and health)musculoskeletal pain (MeSH)sick leave certificatework capacity evaluation

Identifiers

PMID37200737
PMCPMC10185752

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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.