NCT06853561

Reducing Individual Work Stress in Healthcare Professionals Through Exchange of Job Resources

Co-work Design: A Structural Approach to Reduce Individual Work Stress in Healthcare Professionals in Hospital Settings

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 75 (estimated)
• Sponsor: Erasmus University Rotterdam · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

The present study focuses on prosocial job crafting as a novel strategy to reduce burnout and foster well-being among nurse professionals. Specifically, we will examine whether prosocial job crafting enhances individual and team-level well-being by increasing own and others' resources.

Detailed description

Below, we provide more information on the study design, study procedure, data collection, data management, and data analysis. Study Design: Type: Prospective, longitudinal, observational diary study. Duration: 10 workdays of daily surveys with a baseline survey at the start (Day 0). Setting: Online survey tool (Castor), accessible via smartphones. Study Procedure: Day 0 - Baseline Survey: Collects demographic data and job-related information. Days 1-10 - Daily Surveys: Workday Verification: Confirmation of work on that day. In addition to the outcomes listed under primary and secondary outcome measures, daily surveys will include measures of: Prosocial Job Crafting: 12 items adapted to measure crafting behaviors to benefit other team members, using the Prosocial Job Crafting Measure (PSJCM). Psychological Capital: 12 items measuring hope, self-efficacy, optimism, and resilience, using a shortened version of the Psychological Capital Questionnaire (PCQ). Day 11 - Post-Study Survey: Summary of results and feedback opportunity. Data Collection: Survey Platform: Mobile-friendly (Castor). Questionnaire Format: Self-report measures adapted for daily context. Data Management: Anonymity: Participants are assigned anonymous codes for data matching. Confidentiality: Data is securely stored with access only for researchers on the project. Statistical Analysis: Multilevel modeling will be used to analyze the nested nature of daily data and relationships between job crafting, resource exchange, and work outcomes.

Conditions

• Job Crafting

Timeline

• Start date: 2025-08-01
• Primary completion: 2025-11-01
• Completion: 2025-11-01
• First posted: 2025-03-03
• Last updated: 2025-08-22

Locations

1 site across 1 country: Netherlands