• Login
    View Item 
    •   Vlerick Repository Home
    • Research Output
    • Conference Presentations
    • View Item
    •   Vlerick Repository Home
    • Research Output
    • Conference Presentations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Vlerick RepositoryCommunities & CollectionsPublication DateAuthorsTitlesSubjectsKnowledge Domain/IndustryThis CollectionPublication DateAuthorsTitlesSubjectsKnowledge Domain/Industry

    My Account

    LoginRegister

    Contact & Info

    ContactVlerick Journal ListOpen AccessVlerick Business School

    Statistics

    Display statistics

    Variability in hospital treatment costs: A time-driven activity-based costing approach for early-stage invasive breast cancer patients

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Publication type
    Conference Presentation
    Author
    Roman, Erin
    Publication Year
    2020
    
    Metadata
    Show full item record
    Abstract
    Objectives: Using a generic treatment path for breast cancer, and the molecular subtype perspective, we aim to measure the impact of several patient and disease characteristics on the overall treatment cost for patients. We aim to generate insights into the drivers of cost variability within one medical domain. Methods - A generic treatment pathway was developed, process maps were constructed identifying all relevant activities, medical personnel, direct medical materials and facilities used for treating patients. Through face-to-face interviews with the medical staff and direct observations, time estimates were captured for each activity. The cost of resources were obtained from the financial database of the hospital. The per unit cost of supplying the resources were calculated by dividing the financial cost and the practical capacity rate. The per unit cost was then multiplied by the time spent per activity to obtain the full cost for each step in the treatment process. Results - Significant cost variations within each molecular subtype and across molecular subtypes were found. Typically for luminal A the cost differential amounts to roughly 166%, with the greatest treatment cost amounting to $29,780 relative to $11,208 for a patient requiring less medical activities. The major driver for these cost variations relate to disease characteristics. For the luminal B classification a cost difference of roughly 242% exists due to both disease and patient related factors. The average treatment cost for triple negative patients amounted to $26,923, this is considered to be a more aggressive type of cancer. The overall cost for HER2-enriched is driven by the inclusion of Herceptin, thus this subtype is impacted by disease characteristics. Cost variability across molecular classifications is impacted by the severity of the disease, thus disease related factors are the major drivers of cost. Conclusions - Given the cost challenge in health care, the need for greater cost transparency has become imperative. Through our analysis we generate initial insights into the drivers of cost variability for breast cancer. We found evidence that disease characteristics such as severity and more aggressive cancer forms like HER2-enriched and triple negative have a significant impact on treatment cost across the different subtypes. Similarly, patient factors such as age and presence of gene mutation contribute to differences in treatment cost variability within molecular subtypes.
    Keyword
    Hospital Treatment Costs, Cost Variability, Cost Transparency, Cost Differences, Molecular Subtypes, Time-Driven Activity-Based Costing
    Knowledge Domain/Industry
    Operations & Supply Chain Management
    URI
    http://hdl.handle.net/20.500.12127/6544
    Collections
    Conference Presentations

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.