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Data · dataset · 2025

Replication Data for: Health loss-related grief among sick-listed employees - Development and validation of the Health Impairment Grief Scale

Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/u0mxrw

Background.

Description

This study explored health loss-related grief reactions among sick-listed employees. Our objective was to increase understanding of the emotional experiences of sick-listed employees, particularly grief reactions stemming from their health issues.

To this end, we developed and validated the Health Impairment Grief Scale (HIGS). Method. The 10-item HIGS was developed with input from academic experts in grief and labour, occupational health professionals, and sick-listed employees.

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Psychometric evaluation of the HIGS was conducted using data from 226 sick-listed employees. Participants mostly identified themselves as female (81%), highly educated (52%), were on average 49.3 years old, and have been sick-listed for 90.3 weeks. Results.

The HIGS demonstrated a unidimensional structure, robust internal consistency, and temporal stability. Additionally, its items showed clear differentiation from symptoms of depression and anxiety, and exhibited solid convergent validity. These findings indicate that individuals can experience grief due to health problems.

Discussion. This study identifies health loss-related grief as a distinct psychological phenomenon among sick-listed employees. The association between health loss-related grief and pre-job loss grief suggests that employees may face interconnected emotional challenges during return-to-work.

The HIGS is a valid tool for assessing these reactions, potentially improving targeted interventions and support strategies for successful return-to-work outcomes.

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Stated by source
Social Sciences · Social Sciences
Inferred from text
Epidemiology 70%
Provenance · 2 source records, 13 field assertions
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IISH Dataversedoi:10.34894/U0MXRW13 d agoJSON v1
ODISSEI Portaldoi:10.34894/U0MXRW9 d agoJSON v1
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