ArticleInternational journal of environmental research and public health2021
Identification of Health Expenditures Determinants: A Model to Manage the Economic Burden of Cardiovascular Disease.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- [Organization and costs of stroke care in outpatient settings: Systematic review].Atencion primaria · 2023Pooled it
- Mobile-Health based physical activities co-production policies towards cardiovascular diseases prevention: findings from a mixed-method systematic review.BMC health services research · 2022Pooled it
- Economic Burden of Stroke Disease: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Association between healthcare utilization patterns and long-term all-cause mortality after acute myocardial infarction discharge in South Korea.Scientific reports · 2025Article
- Development and implementation of explainable AI-based machine learning models for predicting hospital stay and treatment costs in cardiovascular patients.Scientific reports · 2025Article
- Identifying Risk Indicators of Cardiovascular Disease in Fasa Cohort Study (FACS): An Application of Generalized Linear Mixed-Model Tree.Archives of Iranian medicine · 2024Article
- The costs associated with stroke care continuum: a systematic review.Health economics review · 2023Review
- Early Diagnosis of Atrial Fibrillation and Stroke Incidence in Primary Care: Translating Measurements into Actions-A Retrospective Cohort Study.Biomedicines · 2023Article
- Review
- The Mediterranean Diet Scale (MDS): Translation and validation of the Arabic version.PloS one · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this paper is to investigate the determinants influencing the costs of cardiovascular disease in the regional health service in Italy's Apulia region from 2014 to 2016. Data for patients with acute myocardial infarction (AMI), heart failure (HF), and atrial fibrillation (AF) were collected from the hospital discharge registry. Generalized linear models (GLM), and generalized linear mixed models (GLMM) were used to identify the role of random effects in improving the model performance. The study was based on socio-demographic variables and disease-specific variables (diagnosis-related group, hospitalization type, hospital stay, surgery, and economic burden of the hospital discharge form). Firstly, both models indicated an increase in health costs in 2016, and lower spending values for women (
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.