Cost-Utility Analysis of Ezetimibe for ACS Secondary Prevention in Thailand

A 51.9 KB DOCX file contains the results of a cost-utility analysis comparing two lipid-lowering strategies for acute coronary syndrome patients in Thailand. The analysis, authored by Nattiwat Promchit and last updated on 2026-05-20, uses a Markov model with data from the IMPROVE-IT trial and Thailand-specific inputs. It reports incremental cost-effectiveness ratios from societal and healthcare provider perspectives against a willingness-to-pay threshold of 160,000 THB per QALY.

Use Cases

• Evaluate the cost-effectiveness of ezetimibe add-on therapy based on the reported incremental cost-effectiveness ratios (ICERs).
• Conduct sensitivity analysis on model parameters based on the described one-way and probabilistic sensitivity analyses.
• Compare healthcare intervention costs from different perspectives based on the societal and healthcare provider cost inputs.
• Assess lipid-lowering strategies for secondary prevention in specific patient populations based on the described clinical scenario of statin intolerance.

Strengths

• Analysis is based on a Markov model with four health states, a standard methodology for health economic evaluations.
• Uses Thailand-specific cost and willingness-to-pay threshold data (160,000 THB/QALY), providing local relevance.
• Includes both one-way and probabilistic sensitivity analyses, as described in the methods.

Limitations

• The underlying dataset is a 51.9 KB DOCX file, indicating a very limited scope, likely containing summary results rather than raw model input or patient-level data.
• Column-level documentation and sample data are unavailable, making field semantics and data structure unclear.
• The probabilistic sensitivity analysis indicated a 56.8% probability of cost-effectiveness at the threshold, suggesting significant uncertainty in the base-case result.

Provenance

Source

figshare, authored by Nattiwat Promchit.

Collection Method

Developed from a Markov model using transition probabilities, utility values, and costs derived from the IMPROVE-IT trial and relevant literature, supplemented with Thailand-specific data.

Freshness

Last updated 2026-05-20 05:56:32.

Geography

Thailand