Evidence map›Paper›PMID 41148175›Full record

ArticleScandinavian journal of primary health care2026

Quality assessment in sickness certificates - changes over an eight-year period in Sweden and associated factors.

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

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Article in Scandinavian journal of primary health care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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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.ORCID 0000-0003-4851-5401
Wilhelmus J A GrootenDepartment of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Huddinge, Sweden.ORCID 0000-0002-1697-9781
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.
Peter HenrikssonDepartment of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-0633-4699
Anna KiesslingDepartment of Clinical Sciences, Danderyd Hospital, Stockholm, and Department of Medical Specialities, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7057-7604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study investigates changes in the quality of information in sickness certificates over time, before and after the 2011 national introduction of a revised sickness certificate, and identified factors associated with certificate quality.

methodsFour experts independently assessed the quality of a total of 783 sickness certificates issued in primary care in 2004, 2009, and 2012. A Global Quality Score (GQS) was constructed by the research group, rating quality on a 10-point scale. The cut-off for high quality was set to GQS >5. The inter-rater reliability of the GQS was tested using Intra-Class Correlation and internal consistency by Pearson correlation coefficients (r). Sickness certificates issued in 2004 and 2009 were merged into one group and compared to sickness certificates in 2012. Logistic binomial regression analyses examined associations between patient-, sick leave-, and physician-related variables and GQS.

resultsThe GQS demonstrated moderate to good inter-rater reliability (ICC= 0.79, 95% CI: 0.6-0.9) and good internal consistency. Certificate quality improved significantly (

conclusionWhile sickness certificate quality was overall low, it improved significantly after the 2011 revision of the sickness certificate. Also, diagnosis, sick leave duration, and patient's sex were factors associated with the quality and varied over time, highlighting the need for further research regarding potential remaining differences in quality of sickness certificates.

Indexed as

CertificationSick LeaveAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedPrimary Health CareReproducibility of ResultsSwedenYoung AdultDisability and healthinsurance medicinemental healthprimary health caresick leavesocial securitywork capacity evaluation

Identifiers

PMID41148175
PMCPMC12918320

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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.