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Background <p>Work ability is central to occupational health management, including in public administration. The Schleswig-Holstein state administration surveyed its employees regarding their work ability and potential influencing factors on two occasions, five years apart.</p> Objectives <p>Work ability is analyzed in terms of its level, trend, and influencing factors within the narrower scope of the state administration, i.e. without the state police and school sector.</p> Methods <p>The analysis is based on two employee surveys (current survey: <i>n</i> = 10.768, response rate 59%). Work ability is measured using a short form of the WAI, the WAI-r. The trend is adjusted using propensity score matching. The influencing factors are identified using logistic multilevel regression.</p> Results <p>60% of employees have (very) good work ability. The trend is slightly negative, and after adjustment it is currently nine percentage points lower. In the model, the most prominent predictor by far is work intensification, which is also at a high level. Other important predictors are the meaningfulness of work, learning (viewing new tasks as a challenge), and a sense of community.</p> Discussion <p>External comparative values are either pre-pandemic or collected in selective groups, making comparison uncertain. Priorities and approaches to action can be derived at an overarching level.</p>

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Arbeitsfähigkeit von Beschäftigten der schleswig-holsteinischen Landesverwaltung – Niveau, Trend und Einflussgrößen

  • 期刊论文

  • 发表日期：

    2025年6月17日

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  • Christian Hetzel,
  • Mathis Elling,
  • Torsten Alles,
  • Arne Seidel,
  • Holger Kliewe,
  • Betje Schwarz

摘要

Background

Work ability is central to occupational health management, including in public administration. The Schleswig-Holstein state administration surveyed its employees regarding their work ability and potential influencing factors on two occasions, five years apart.

Objectives

Work ability is analyzed in terms of its level, trend, and influencing factors within the narrower scope of the state administration, i.e. without the state police and school sector.

Methods

The analysis is based on two employee surveys (current survey: n = 10.768, response rate 59%). Work ability is measured using a short form of the WAI, the WAI-r. The trend is adjusted using propensity score matching. The influencing factors are identified using logistic multilevel regression.

Results

60% of employees have (very) good work ability. The trend is slightly negative, and after adjustment it is currently nine percentage points lower. In the model, the most prominent predictor by far is work intensification, which is also at a high level. Other important predictors are the meaningfulness of work, learning (viewing new tasks as a challenge), and a sense of community.

Discussion

External comparative values are either pre-pandemic or collected in selective groups, making comparison uncertain. Priorities and approaches to action can be derived at an overarching level.