Abstract
Background: Existing research highlights the necessity of tailoring cost-containment policies to specific treatments due to the varying benefits across different diseases. This study contributes additional insights by examining the impact of such policies on a non-acute condition—cataracts. Methods: Leveraging 16 years of national health insurance claim data, this research assesses the influence of three prevalent cost-containment payment schemes on healthcare service utilization. Outcome variables for analysis include the decision to adopt intraocular lens (IOL) insertion, outpatient visit volume, and healthcare expenditures. The robustness of the findings is enhanced through the use of statistical methods, such as logit, Poisson, negative binomial, and panel fixed-effect models. Results: Global budgeting reduces the likelihood of procedure adoption and negatively impacts the volume of outpatient consultation services. Cost sharing does not affect procedure adoption but significantly impacts outpatient service volume. The prospective payment scheme for cataract IOL treatment shows no long-term effects on service utilization, with treatment rates stabilizing after a few years of policy implementation. Despite reimbursement points remaining unchanged for over two decades, there is no evidence of the under-provision of treatment. Conclusions: This study underscores the significant responsiveness of both patients and providers to policy reforms in the non-acute disease category. Manipulating payment schemes can lead to cost savings, particularly when treatment plans and procedures exhibit increased elasticity in their provision.
| Original language | English |
|---|---|
| Article number | 587 |
| Journal | Healthcare (Switzerland) |
| Volume | 13 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2025 Mar |
Keywords
- cost sharing
- healthcare demand elasticity
- national health insurance claim data
- non-acute disease
- prospective payment system
ASJC Scopus subject areas
- Leadership and Management
- Health Policy
- Health Informatics
- Health Information Management