Long-Term Healthcare Utilization, Medical Cost, and Societal Cost in AdultCongenital Heart Disease
Bibliographic record
Abstract
Objective: Cost-of-illness studies in Adult Congenital Heart Disease (ACHD) have mainly been limited to hospitalizations. This is the first paper to provide a comprehensive overview from a societal perspective including inpatient and outpatient medical costs, and absenteeism- and unemployment-related societal costs. Methods: A retrospective longitudinal (2006–2015) database analysis was performed in Belgium combining administrative and clinical databases (n = 10,572). Trends in resource use and costs per patient year were standardized to assess the impact of changes in the patient population composition. Generalized Linear Mixed Models assessed the impact of age, sex, lesion complexity, and time. Costs were converted to 2018 values. Results: Medical costs per patient year increased from €3490 to €4536 with a milder increase in patients with severe lesions. Although unemployment-related costs decreased, total societal costs increased due to more long-term (≥1 yr) invalidity. An increase in long-term invalidity was particularly found in patients ≥30 yrs and in patients with mild or moderate lesions. Resource use (e.g., dental care, nursing care, physiotherapy, emergency department) increased substantially in all patient groups over time. The annual percentage of patients with severe lesions receiving any cardiac and specialized cardiac follow-up increased with respectively 11 and 13 percent points to 81% and 52%, with a simultaneous decrease in hospitalization rate. Conclusion: Medical cost increases in ACHD are most pronounced in patients with mild and moderate lesions, relatable to their higher age. Economic data are necessary to allocate resources efficiently to ensure sustainable, qualitative care in an ageing patient population with strong increases in medical and long-term invalidityrelated costs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".