A prognostic model for predicting the duration of 20,049 sickness absence spells due to shoulder lesions in a population-based cohort in Sweden

Katalin Gémes; Johanna Holm; Paolo Frumento; Gino Almondo; Matteo Bottai; Emilie Friberg; Kristina Alexanderson

doi:10.1371/journal.pone.0280048

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Open Access

Peer-reviewed

Research Article

A prognostic model for predicting the duration of 20,049 sickness absence spells due to shoulder lesions in a population-based cohort in Sweden

Katalin Gémes ,

Roles Formal analysis, Writing – original draft, Writing – review & editing

* E-mail: katalin.gemes@ki.se

Affiliation Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden

https://orcid.org/0000-0003-3335-7850

⨯
Johanna Holm,

Roles Conceptualization, Formal analysis, Writing – original draft, Writing – review & editing

Affiliation Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
⨯
Paolo Frumento,

Roles Formal analysis, Methodology, Software, Writing – review & editing

Affiliation Division of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
⨯
Gino Almondo,

Roles Formal analysis, Methodology, Software, Writing – review & editing

Affiliation Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
⨯
Matteo Bottai,

Roles Formal analysis, Methodology, Software, Writing – review & editing

Affiliation Division of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
⨯
Emilie Friberg,

Roles Conceptualization, Funding acquisition, Methodology, Writing – review & editing

Affiliation Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
⨯
Kristina Alexanderson

Roles Conceptualization, Data curation, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – review & editing

Affiliation Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
⨯

A prognostic model for predicting the duration of 20,049 sickness absence spells due to shoulder lesions in a population-based cohort in Sweden

Katalin Gémes,
Johanna Holm,
Paolo Frumento,
Gino Almondo,
Matteo Bottai,
Emilie Friberg,
Kristina Alexanderson

Published: January 20, 2023
https://doi.org/10.1371/journal.pone.0280048

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Forecasting
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Lesions
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Sweden
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Shoulders
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Health insurance
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