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

Balancing policy objectives in long-term care.

J B Christianson

    Health Services Research
    |January 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    Policymakers balance conflicting long-term care goals like quality and cost. A new model helps optimize these objectives, managing trade-offs for patients, providers, and funders.

    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

    How do urban organized health care delivery systems link with rural providers?

    Health care management review·2000
    Same author

    Patterns of outpatient use of mental health services for Medicaid beneficiaries under a prepaid mental health carve-out.

    Administration and policy in mental health·2000
    Same author

    Outcomes for Medicaid beneficiaries with schizophrenia under a prepaid mental health carve-out.

    The journal of behavioral health services & research·1999
    Same author

    HMO consolidations: how national mergers affect local markets.

    Health affairs (Project Hope)·1999
    Same author

    The composition of rural hospital medical staffs: the influence of hospital neighbors.

    The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association·1999
    Same author

    Do Medicare HMOs cost shift?

    Inquiry : a journal of medical care organization, provision and financing·1998
    Same journal

    Attrition of the Midwifery Workforce: Understanding Factors Associated With Leaving the Profession.

    Health services research·2026
    Same journal

    Engaging Families in Pediatric Care Management: A Qualitative Study From the North Carolina Integrated Care for Kids Model.

    Health services research·2026
    Same journal

    The Effect of Hospital-Physician Vertical Integration on Utilization-Driven Changes in Healthcare Spending for an All-Payer Population With Multiple Chronic Conditions.

    Health services research·2026
    Same journal

    The Association Between Sepsis Coding and Payment to U.S. Hospitals.

    Health services research·2026
    Same journal

    Stagnation in Achieving Recommended Methadone Doses in Opioid Use Disorder Treatment.

    Health services research·2026
    Same journal

    Promoting Transplant Access Through Dialysis Facility Performance Metrics: A Double-Edged Sword.

    Health services research·2026
    See all related articles

    Area of Science:

    • Health Policy
    • Healthcare Management
    • Public Administration

    Background:

    • Long-term care policy faces challenges balancing quality, availability, and cost containment.
    • Conflicting interests among patients, providers, and public funding agencies complicate policy decisions.
    • Current policy often results in partial achievement or selective nonachievement of stated goals.

    Purpose of the Study:

    • To describe a multidimensional objective function for optimizing conflicting public policy goals in long-term care.
    • To provide a model for simulating the effects of policy changes on simultaneous measures.
    • To offer a rational approach to managing the complexity of long-term care policymaking.

    Main Methods:

    • Development of a multidimensional objective function.

    Related Experiment Videos

  • Simulation modeling to assess the impact of policy interventions.
  • Analysis of economic and political consequences for stakeholders.
  • Main Results:

    • The described model allows for the calculation of optimal achievement levels for conflicting policy goals.
    • The model can simulate the effects of changes on multiple simultaneous measures.
    • An illustrative example demonstrates the complexity of the policymaker's challenge.

    Conclusions:

    • A rational, model-based approach can aid policymakers in navigating complex trade-offs in long-term care.
    • The multidimensional objective function provides a framework for achieving a balance between competing policy objectives.
    • Effective long-term care policy requires careful consideration of the consequences for all stakeholders.