Impact of COVID-19 Pandemic on Cardiovascular Healthcare in Croatia: A Comprehensive Nationwide Survey.
Josip LukendaJosip Andjelo BorovacPublished in: Diseases (Basel, Switzerland) (2024)
The impact of the COVID-19 pandemic on cardiovascular healthcare in Croatia remains largely unexplored. This study aimed to compare the utilization and provision of cardiovascular services during the pre-pandemic (2017-2019) and pandemic (2020-2021) periods, leveraging nationwide data from the Croatian Health Insurance Fund, which covers 95% of all insurance claims in the country. Our findings reveal that while the use of coronary angiographies decreased during the pandemic, there was a notable increase in the utilization of advanced heart failure treatment modalities and percutaneous coronary interventions, particularly in the context of acute myocardial infarction. Additionally, transcatheter aortic valve implantations saw a significant rise during the pandemic period. Furthermore, laboratory diagnostic testing for troponin and natriuretic peptides experienced a marked increase, while the utilization of most other cardiovascular services remained stable or showed only minor declines compared to the pre-pandemic era. These observations suggest that the Croatian cardiovascular healthcare system displayed resilience during the COVID-19 pandemic, successfully maintaining and even expanding access to various diagnostic and interventional procedures despite facing widespread societal and logistical challenges.
Keyphrases
- health insurance
- sars cov
- healthcare
- coronavirus disease
- affordable care act
- aortic valve
- heart failure
- acute myocardial infarction
- coronary artery disease
- coronary artery
- aortic stenosis
- transcatheter aortic valve replacement
- primary care
- left ventricular
- mental health
- palliative care
- climate change
- physical activity
- transcatheter aortic valve implantation
- gene expression
- big data
- electronic health record
- atrial fibrillation
- percutaneous coronary intervention
- single cell
- social support
- ultrasound guided
- deep learning