[Survey of Nursing Staff in a Long-Term Care Facility - Results of a Repeated Cross-Sectional Study and Demonstration of a FHIR-Based Data Analysis Approach].

Background: In the context of workforce shortages in geriatric long-term care facilities, monitoring of job-related satisfaction is gaining importance in order to systematically observe developments and support organizational learning processes. At the same time, digitalization initiatives require practice-oriented and reproducible data analysis structures. Objective: The aim of this study was to descriptively assess job-related satisfaction among nursing staff and to demonstrate a standardized, FHIR-based data and analysis workflow. Methods: A repeated cross-sectional study was conducted in a geriatric long-term care facility in Bavaria, Germany (survey waves November-December 2023 and November-December 2024). Data were collected using a standardized questionnaire (scale 0-5; 0=very dissatisfied, 5=very satisfied) via REDCap. Data were pseudonymized, transformed into HL7 FHIR format, and analyzed descriptively. Results: A total of n=68 employees participated (2023: 37/84; 2024: 31/83). Mean values in both waves were predominantly in the upper range of the scale. Between 2023 and 2024, mostly small changes were observed, including in selected aspects of work equipment and team communication. Items newly introduced in 2024 addressing respect and appreciation showed predominantly higher ratings on the scale. Conclusion: In the investigated facility, high overall mean scores regarding job-related satisfaction were observed across both survey periods. A standardized FHIR-based workflow can support reproducible analyses and thereby enable continuous monitoring.