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Cost analysis of leukemia treatment: a problem-oriented approach
Cancer
|February 1, 1976
Summary
A Problem Oriented List of Charges (POLC) helps track treatment costs for specific medical issues in patients with multiple conditions. For Acute Non-Lymphocytic Leukemic (ANLL) patients, granulocytopenia and thrombocytopenia treatments were most expensive.
Area of Science:
- Medical Economics
- Oncology
- Health Informatics
Background:
- Accurately determining the cost of treating individual medical problems in patients with multiple comorbidities is challenging.
- Existing medical record systems may not directly link patient care activities to their associated costs.
- Understanding treatment costs is crucial for effective healthcare management and resource allocation.
Purpose of the Study:
- To introduce and evaluate the utility of a Problem Oriented List of Charges (POLC) for cost analysis.
- To identify the most costly medical problems in patients diagnosed with Acute Non-Lymphocytic Leukemic (ANLL).
- To demonstrate how linking charges to specific problems in medical records can improve cost interpretation.
Main Methods:
- Developed a Problem Oriented List of Charges (POLC) by associating each charge item with a specific patient problem.
- Compiled POLCs using data from Problem Oriented Medical Records (POMRs) of patients with ANLL.
- Analyzed the compiled POLCs to identify high-cost treatment areas.
Main Results:
- The treatment of granulocytopenia, thrombocytopenia, and their sequelae were identified as the most expensive problems in ANLL patients.
- The projected treatment cost for all identified problems over 11.5 months (median survival) for ANLL patients was $40,022.
- POLCs effectively linked charge-incurring activities to patient care outcomes.
Conclusions:
- The Problem Oriented List of Charges (POLC) is a valuable tool for understanding the cost of specific medical problems.
- Integrating POLCs into Problem Oriented Medical Records (POMRs) allows for better interpretation of medical care costs.
- Directly coupling reasons for care, charges, and outcomes in medical records is essential for accurate cost data interpretation.