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A prognostic model for predicting the duration of 20,049 sickness absence spells due to shoulder les...

A prognostic model for predicting the duration of 20,049 sickness absence spells due to shoulder les...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2767424666

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

About this item

Full title

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

Publisher

United States: Public Library of Science

Journal title

PloS one, 2023-01, Vol.18 (1), p.e0280048-e0280048

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Sickness absence duration for shoulder lesion patients is difficult to prognosticate, and scientific evidence for the sick-listing practice is lacking. Our objective was to develop a clinically implementable prediction model for the duration of a sickness absence spell due to shoulder lesions.
All new sickness absence spells due to shoulder lesi...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2767424666

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2767424666

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0280048

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