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 Concept Videos

Time Course of Drug Effect01:14

Time Course of Drug Effect

2.5K
The progression of a drug's impact can be analyzed by examining both the concentration-time course and the effect-time course. The concentration-time course is determined by the drug's half-life and is influenced by factors such as its pharmacokinetics, including absorption, distribution, metabolism, and elimination. The effect of the drug is often related to its concentration in the plasma and is calculated using the maximum drug effect and the plasma concentration that generates 50...
2.5K
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

438
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
438
Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

1.4K
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
1.4K
Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

6.2K
The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
6.2K
Equation of the Elastic Curve01:23

Equation of the Elastic Curve

927
The concept of curvature in plane curves, crucial in structural engineering, defines how sharply a beam bends under load. This curvature is determined using the curve's first and second derivatives.
Consider a cantilever beam with a point load at its free end (for instance, a diving board). When analyzing beam deflection with small slopes, the shape of the beam's elastic curve becomes key. The governing equation for this analysis involves the bending moment and the beam's flexural rigidity,...
927
Ogive Graph01:07

Ogive Graph

6.5K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.5K

You might also read

Related Articles

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

Sort by
Same author

Access to Specialty Cancer Care and Plan Disenrollment Among Medicare Beneficiaries.

JAMA network open·2026
Same author

Development of an Atlas for US Pediatric Acute Care.

JAMA pediatrics·2025
Same author

Out-of-State Acute Care Use Among Pediatric Medicaid Enrollees.

JAMA network open·2025
Same author

Adolescent Treatment Landscape of Depression, Suicidality, and Substance Use Disorder in the US.

JAMA health forum·2025
Same author

Near-infrared Spectroscopy and Skin Tone in Children: A Prospective Cohort Study.

Anesthesiology·2025
Same author

The effect of providing Medicare Advantage enrollees diagnosed with cancer additional time to reassess enrollment.

Health affairs scholar·2025

Related Experiment Video

Updated: Dec 27, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

745

How The ACA Dented The Cost Curve.

Melinda Beeuwkes Buntin1, John A Graves2

  • 1Melinda Beeuwkes Buntin ( melinda. buntin@vanderbilt. edu ) is the Mike Curb Professor of Health Policy and chair of the Department of Health Policy, Vanderbilt University School of Medicine, in Nashville, Tennessee.

Health Affairs (Project Hope)
|March 3, 2020
PubMed
Summary
This summary is machine-generated.

The Affordable Care Act (ACA) aimed to lower healthcare costs, but its overall impact on national health spending growth remains debated. Further adjustments are needed to sustain its long-term effects on healthcare affordability.

Keywords:
Affordable Care ActCost growthCosts and spendingHealth policyMedicaidMedicareMedicare AdvantageNational Health ExpendituresPaymentPremiums

More Related Videos

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

470
Author Spotlight: A Novel Approach to Cerebral Ischemia Modeling – Enhancing Reperfusion and Simplifying Procedure
04:18

Author Spotlight: A Novel Approach to Cerebral Ischemia Modeling – Enhancing Reperfusion and Simplifying Procedure

Published on: May 31, 2024

2.0K

Related Experiment Videos

Last Updated: Dec 27, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

745
Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

470
Author Spotlight: A Novel Approach to Cerebral Ischemia Modeling – Enhancing Reperfusion and Simplifying Procedure
04:18

Author Spotlight: A Novel Approach to Cerebral Ischemia Modeling – Enhancing Reperfusion and Simplifying Procedure

Published on: May 31, 2024

2.0K

Area of Science:

  • Health Economics
  • Public Health Policy
  • Healthcare Management

Background:

  • The Affordable Care Act (ACA) introduced numerous provisions to enhance healthcare affordability.
  • Debate continues regarding the cumulative effects of the ACA on overall healthcare costs.

Purpose of the Study:

  • To evaluate whether the ACA reduced the annual growth rate of total national health care spending.
  • To assess if the ACA lowered per capita spending growth rates.
  • To review the ACA's direct and indirect effects on spending across various health insurance market segments.

Main Methods:

  • Review of direct and indirect effects of ACA provisions on healthcare spending.
  • Analysis of spending across different segments of the health insurance market.

Main Results:

  • The ACA has influenced spending in specific areas of the health insurance market.
  • The long-term impact on healthcare spending is contingent on sustained adjustments.

Conclusions:

  • The ACA's ultimate effect on healthcare costs is still under evaluation.
  • Sustaining provider payment system adjustments and value-based care initiatives are crucial for the ACA's long-term success in controlling costs.