Measuring Health System Resilience During the COVID-19 Pandemic Using Dynamic Indicators of Resilience Based on Sick-Leave Data
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View abstract on PubMed
Summary
This summary is machine-generated.Dynamic Indicators of Resilience (DIORs) from healthcare worker sick-leave data reveal a decline in Dutch healthcare system resilience during the COVID-19 pandemic. This method offers insights into system adaptability during health crises.
Area Of Science
- Healthcare Management
- Public Health
- Epidemiology
Background
- Healthcare system resilience is crucial for maintaining essential services during disruptive events.
- Dynamic Indicators of Resilience (DIORs) analyze time-series data to assess healthcare system functioning.
- The COVID-19 pandemic presented a significant challenge to global healthcare systems.
Purpose Of The Study
- To determine if DIORs can be estimated from Dutch healthcare system functioning data.
- To assess the resilience of the Dutch healthcare system before, during, and after the COVID-19 pandemic using DIORs.
- To evaluate the utility of DIORs as indicators of healthcare system resilience.
Main Methods
- Healthcare experts identified key indicators of healthcare availability.
- Time-series data on sick-leave absenteeism rates among Dutch healthcare workers were utilized.
- DIORs were calculated using moving window techniques on these time-series data across sectors and regions.
Main Results
- Sick-leave absenteeism rates increased post-pandemic.
- DIORs demonstrated significantly increasing autocorrelation during the pandemic, indicating reduced resilience.
- Resilience trends were consistent across sectors but varied regionally.
Conclusions
- DIORs estimated from healthcare worker sick-leave data offer valuable insights into healthcare system resilience.
- This approach can inform strategies for strengthening healthcare systems against future disruptions.
- The findings highlight the dynamic nature of healthcare system resilience during major health events.
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