Reza Jalali

Background: In recent years, due to unforeseen global crises, particularly the COVID-19 pandemic, the demand for utilizing Home Health Care centers as an effective alternative to hospital care has increased. Maintaining the functionality of these centers in the face of unpredictable events requires an understanding of the dimensions and components of resilience. This study was conducted with the aim of presenting a model to explain the dimensions and components of resilience in these centers. Methods: The present study was conducted using a multi-grounded theory approach and included systemic integration of theoretical (meta-synthesis of related studies over the past 20 years) and empirical data (interview with specialists) via purposive sampling. Data analysis and coding were performed using the constant comparative approach with MaxQDA 2020 software, and the integration of theoretical and empirical data led to the formulation of the theory. Results:The research findings led to the design of a comprehensive model with four main dimensions: Responsiveness (to ensure service continuity), Prediction (for early threat detection and preventive planning), Growth and Learning (through continuous training and documentation of events), and Monitoring and Value Creation (focusing on data-driven monitoring, feedback, and continuous performance improvement). Conclusion: This study provides a strategic and practical model that transforms resilience from a theoretical concept into an executable operational framework. The final model helps health sector managers and policymakers to understand the key components of resilience better, design more robust infrastructure, and build the necessary capacity to effectively deal with future crises in home health care centers. Applying this model can lead to enhanced service sustainability and guaranteed care quality even under abnormal conditions.