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

Evidence based? Caveat emptor!

Earl P Steinberg1, Bryan R Luce

  • 1Resolution Health Inc., San Jose, California, USA. esteinberg@resolutionhealth.com

Health Affairs (Project Hope)
|January 14, 2005
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

How different is research done by the Patient-centered Outcomes Research Institute, and what difference does it make?

Journal of comparative effectiveness research·2019
Same author

Using Bayesian Adaptive Trial Designs for Comparative Effectiveness Research: A Virtual Trial Execution.

Annals of internal medicine·2016
Same author

Characteristics and temporal trends in patient registries: focus on the life sciences industry, 1981-2012.

Pharmacoepidemiology and drug safety·2014
Same author

The role of private industry in pragmatic comparative effectiveness trials.

Journal of comparative effectiveness research·2013
Same author

Principles for planning and conducting comparative effectiveness research.

Journal of comparative effectiveness research·2013
Same author

Do Bayesian adaptive trials offer advantages for comparative effectiveness research? Protocol for the RE-ADAPT study.

Clinical trials (London, England)·2013
Same journal

National Health Expenditure Projections, 2025-34: Strong Utilization Growth Initially, Legislative Impacts Later.

Health affairs (Project Hope)·2026
Same journal

State Medicaid Programs Face Increased Spending On Medicare Premiums.

Health affairs (Project Hope)·2026
Same journal

Medicaid Tobacco And Nicotine Cessation Treatment Rates Remained Low, 2019-24.

Health affairs (Project Hope)·2026
Same journal

Third-Party Convener Firms And The Rise Of Geographically Dispersed, High-Earning Medicare ACOs.

Health affairs (Project Hope)·2026
Same journal

The Opacity Of Price Transparency.

Health affairs (Project Hope)·2026
Same journal

Pre-Claim Review And Traditional Medicare Home Health Spending: Evidence From 4 States.

Health affairs (Project Hope)·2026
See all related articles

This study examines the "evidence-based" label in healthcare, clarifying when evidence is sufficient for its use. It also explores factors beyond evidence strength influencing healthcare decisions.

Area of Science:

  • Health Services Research
  • Evidence-Based Practice
  • Healthcare Policy

Background:

  • Increasing use of the
  • evidence-based
  • label in medical practices, guidelines, and administrative decisions.
  • Need for clear criteria to validate the
  • evidence-based
  • claim in healthcare.

Purpose of the Study:

  • To critically examine the
  • evidence-based
  • label in healthcare.
  • To define criteria for the appropriate assembly, evaluation, and synthesis of evidence.
  • To identify factors beyond evidence strength influencing healthcare administrative decisions.

Main Methods:

Related Experiment Videos

  • Conceptual analysis of the
  • evidence-based
  • principle.
  • Review of methodologies for evidence appraisal and synthesis.
  • Exploration of administrative decision-making processes in healthcare.

Main Results:

  • The
  • evidence-based
  • label is frequently applied without rigorous justification.
  • Sufficient evidence requires robust assembly, evaluation, and synthesis.
  • Factors like cost and feasibility significantly impact healthcare decisions, sometimes overriding evidence strength.

Conclusions:

  • Clear standards are needed for applying the
  • evidence-based
  • label in healthcare.
  • Decisions must consider both evidence strength and contextual factors.
  • Ensuring truly evidence-based healthcare requires a comprehensive approach to evidence utilization and decision-making.