Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Integer/linear mathematical programming models: a tool for allocating healthcare resources.

Stephanie R Earnshaw1, Susan L Dennett

  • 1RTI Health Solutions, Research Triangle Institute, North Carolina 27709, USA. searnshaw@rti.org

Pharmacoeconomics
|August 12, 2003
PubMed
Summary

Mathematical programming offers valuable tools for efficient healthcare resource allocation. These methods aid in complex decisions involving new technologies and budget constraints, improving overall healthcare economics.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Treatment Interruption and Regimen Change in Firstgeneration versus Second-generation Tyrosine Kinase Inhibitors used as First-line Therapy for Chronic Myeloid Leukemia.

Journal of health economics and outcomes research·2023
Same author

Erratum for Earnshaw et al., "Real-World Financial and Clinical Impact of Diagnostic-Driven and Empirical-Treatment Strategies in High-Risk Immunocompromised Patients with Suspected Aspergillus Infection in the United Kingdom".

Microbiology spectrum·2022
Same author

Real-World Financial and Clinical Impact of Diagnostic-Driven and Empirical-Treatment Strategies in High-Risk Immunocompromised Patients with Suspected Aspergillus Infection in the United Kingdom.

Microbiology spectrum·2022
Same author

Health and Economic Impact of Routine Pediatric Pneumococcal Immunization Programs in Canada: A Retrospective Analysis.

Infectious diseases and therapy·2020
Same author

Response to McGirr et al.'s Comment on "Clinical and Economic Impact of a Potential Switch from 13-Valent to 10-Valent Pneumococcal Conjugate Infant Vaccination in Canada".

Infectious diseases and therapy·2018
Same author

Are We Ready to Use Constrained Optimization in Health Outcomes Research?

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2018

Area of Science:

  • Health Services Research
  • Operations Research
  • Health Economics

Background:

  • Increasing demand for efficient healthcare resource allocation.
  • Growing complexity in allocating resources due to new technologies.
  • Need for decision-support tools in healthcare resource management.

Purpose of the Study:

  • To highlight the potential of mathematical programming in healthcare resource allocation.
  • To explore the application of mathematical programming in economic evaluations of new health technologies.
  • To advocate for the use of mathematical programming in budget allocation decisions.

Main Methods:

  • Review of mathematical programming properties relevant to healthcare decision-making.
  • Analysis of existing applications in health services research.

Related Experiment Videos

  • Identification of limitations in current economic evaluations.

    • Main Results:

    • Mathematical programming effectively handles multiple constraints and provides sensitivity analysis.
    • These tools are underutilized in economic evaluations of new healthcare technologies.
    • Significant benefits can be gained in formulary, drug development, and pricing decisions.

    Conclusions:

    • Mathematical programming can guide efficient resource allocation under budgetary constraints.
    • Increased adoption of these tools is crucial for managing expensive new technologies.
    • Mathematical programming can help contain rising healthcare costs through optimized resource distribution.