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Sickness Absence Duration Across Twenty Different Pathologies: A Systematic Review.

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Summary
This summary is machine-generated.

This systematic review synthesizes sickness absence duration (SAD) data for 20 pathologies. Evidence is insufficient for consensus, highlighting the need for consistent SAD data and improved return-to-work guidance.

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Area of Science:

  • Occupational Health
  • Public Health
  • Evidence Synthesis

Background:

  • Sickness absence duration (SAD) data is fragmented across various pathologies.
  • Healthcare practitioners (HCPs) and policymakers require structured information for informed decisions on work resumption and rehabilitation.
  • A comprehensive literature synthesis on SAD is needed.

Purpose of the Study:

  • To systematically review and summarize existing literature on sickness absence duration (SAD) across twenty diverse pathologies.
  • To support healthcare practitioners and policymakers in decision-making processes related to work resumption and rehabilitation.
  • To identify gaps in the literature regarding SAD for various medical conditions.

Main Methods:

  • Systematic review adhering to PRISMA guidelines, including scientific and gray literature.
  • Selection of twenty pathologies based on work disability prevalence (musculoskeletal, neurologic, psychiatric, pulmonary, endocrine, gastro-intestinal, dermatological).
  • Literature search across PubMed, Cochrane Library, CINAHL, and relevant gray literature sources.

Main Results:

  • Screened 4,826 scientific articles and 770 gray literature documents, including 69 studies.
  • Provided guidelines for epicondylitis lateralis, hip prosthesis, and knee ligament injuries; no data for epilepsy, OCD, or Ehlers-Danlos syndrome.
  • Reported SAD for 15 conditions, ranging from 1.04 days to 11.4 years, with a median of 24 days.

Conclusions:

  • The study offers an overview of SAD data but lacks sufficient evidence for consensus or guideline development.
  • Significant information gaps exist for SAD across many conditions.
  • Future research should focus on establishing reliable SAD data and developing peer-comparison feedback mechanisms for improved sick leave and return-to-work guidance.