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Related Concept Videos

Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
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Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

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Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Related Experiment Video

Updated: Jun 19, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
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Practical approach for using Medicare data to estimate costs for cost-effectiveness analysis.

John W Tumeh1, Susan G Moore, Rachel Shapiro

  • 1Winship Cancer Institute 1365 Clifton Road, NE Building C, Suite 3006 , Emory University, Atlanta, GA 30322, USA. mercule@aol.com

Expert Review of Pharmacoeconomics & Outcomes Research
|October 8, 2009
PubMed
Summary

This study details a method for estimating US societal healthcare costs using Medicare reimbursement data. It provides tools for calculating direct medical costs for services and medications, aiding cost-effectiveness analysis.

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Area of Science:

  • Health Economics
  • Healthcare Policy
  • Medical Cost Analysis

Background:

  • Accurate healthcare cost estimation is crucial for cost-effectiveness analysis.
  • Determining direct medical costs from a societal perspective presents a significant challenge.
  • Existing methods may not fully capture the societal cost of medical goods and services.

Purpose of the Study:

  • To present a methodology for estimating direct medical costs from a US societal perspective.
  • To provide practical tools and guidance for calculating healthcare service and drug costs.
  • To leverage Medicare reimbursement data for robust cost-effectiveness analysis.

Main Methods:

  • Applying Medicare reimbursement calculation methodology for physician and hospital services.
  • Utilizing Centers for Medicare and Medicaid Services (CMS) data for cost estimation.
  • Demonstrating methods using geographic practice cost index and standard hospital base rates.

Main Results:

  • A framework for calculating direct medical costs for in- and outpatient services is provided.
  • The methodology allows for the estimation of drug costs using Medicare data.
  • The approach is generalizable to the broader US population.

Conclusions:

  • The review offers essential tools for cost-effectiveness analysts to calculate healthcare service costs.
  • It provides a step-by-step guide to applying CMS data for societal cost estimation.
  • This methodology enhances the accuracy and generalizability of economic research in healthcare.