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

Hospital cost per case: analyses using a statewide data system.

D N Schumacher, S D Horn, M F Solnick

    Medical Care
    |October 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

    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

    Glucagon-like peptide-1 secretion in people with versus without type 2 diabetes: a systematic review and meta-analysis of cross-sectional studies.

    Metabolism: clinical and experimental·2022
    Same author

    Test-retest reliability of the two-point discrimination test on the sole of the foot in people with multiple sclerosis.

    Physiological measurement·2020
    Same author

    Ehlers-Danlos syndrome.

    British dental journal·2020
    Same author

    Sedation during the pandemic.

    British dental journal·2020
    Same author

    Ethical Standards in Sport and Exercise Science Research: 2020 Update.

    International journal of sports medicine·2019
    Same author

    Case of a Tumour of the Tongue, Cured by Calomel and Cicuta.

    Edinburgh medical and surgical journal·2018
    Same journal

    Community Health Workers in the Veterans Administration: Exploring Opportunities and Barriers to Integration for Rural and Caregiver Populations.

    Medical care·2026
    Same journal

    Hepatitis C Virus Cascade of Care in Florida Emergency Departments.

    Medical care·2026
    Same journal

    Association of Neighborhood Socioeconomic Disadvantage and Uptake of Diabetes Prevention Interventions.

    Medical care·2026
    Same journal

    Machine Learning for Evaluating the Heterogeneous Effects of Intensive In-Hospital Rehabilitation During the Postacute Phase After Hip Fracture Surgery on Activities of Daily Living.

    Medical care·2026
    Same journal

    Hospital-Physician Integration and Differences in the Use of Orthopedic Care Across Race and Ethnicity.

    Medical care·2026
    Same journal

    Temporal Misalignment and Selection Bias in "Burn Pit Smoke Exposure and Sleep Apnea in US Veterans.

    Medical care·2026
    See all related articles

    Hospital costs per case are significantly influenced by case mix complexity, patient age, and staffing. These factors help predict up to 88% of cost variations, aiding in hospital cost management and reimbursement strategies.

    Area of Science:

    • Health Services Research
    • Hospital Management
    • Health Economics

    Background:

    • Understanding hospital cost drivers is crucial for effective financial management and policy development.
    • Previous research has identified various factors influencing healthcare expenditures, but a comprehensive model integrating complexity, severity, and hospital characteristics is needed.

    Purpose of the Study:

    • To establish relationships between hospital cost per case and key independent variables.
    • To develop predictive models for hospital costs based on case mix, patient characteristics, and hospital factors.
    • To inform strategies for identifying high-cost hospitals and for prospective reimbursement.

    Main Methods:

    • Utilized data from 216,000 discharges from Maryland's acute general hospitals.

    Related Experiment Videos

  • Employed 383 Diagnostic Related Groups (DRGs) to calculate an information theoretic measure of case mix complexity.
  • Developed multiple linear regression equations to analyze cost predictors.

    • Main Results:

    • Case mix complexity, patient age, proportion of high-risk patients, average length of stay, and nonphysician salary levels were significant predictors of cost per case.
    • The developed models explained up to 88% of the variance in between-hospital cost per case.
    • Distinct models were developed for metropolitan and rural hospitals, highlighting group-specific cost drivers.

    Conclusions:

    • Hospital cost per case is predictable using a combination of clinical and operational factors.
    • Findings support the identification and regulation of unexpectedly high-cost hospitals.
    • The study provides a foundation for prospective cost per case reimbursement models.