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

Decision Making: P-value Method01:09

Decision Making: P-value Method

7.1K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
7.1K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.7K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.7K
Applications of Integration to Find Consumer Surplus01:29

Applications of Integration to Find Consumer Surplus

84
In microeconomics, consumer surplus represents the economic gain that consumers experience when they purchase a good or service for less than the highest price they are willing to pay. This surplus arises from the characteristics of the demand function, which links the quantity of a good to the price consumers are willing to pay. As the quantity of a good increases, the price that consumers are willing to pay for each additional unit typically decreases, resulting in a downward-sloping demand...
84
Decision Making01:20

Decision Making

1.2K
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Patient-Driven Grouping Model and Home Health Use Among Traditional Medicare Beneficiaries.

Journal of the American Medical Directors Association·2026
Same author

US State Actions Related to COVID-19 Vaccination Infrastructure and Access Amid Federal Shifts.

JAMA·2026
Same author

An introduction to North Carolina Integrated Care for Kids (NC InCK): A model to support whole-child health.

Healthcare (Amsterdam, Netherlands)·2025
Same author

The Essential Role of States in Protecting Immunization Access.

The New England journal of medicine·2025
Same author

Procedure Patterns and Survival in Advanced Non-Small Cell Lung Cancer With Malignant Airway Obstruction: A Surveillance, Epidemiology, and End Results Medicare Analysis.

Chest·2025
Same author

The Importance of Shared Patient Voices in Advancing Science for Genodermatoses on a Global Scale.

The Journal of investigative dermatology·2025

Related Experiment Video

Updated: Mar 23, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.3K

For Third Enrollment Period, Marketplaces Expand Decision Support Tools To Assist Consumers.

Charlene A Wong1, Daniel E Polsky2, Arthur T Jones3

  • 1Charlene A. Wong (charwong@upenn.edu) is a pediatrician in the Division of Adolescent Medicine at the University of Pennsylvania, in Philadelphia, and the Children's Hospital of Philadelphia.

Health Affairs (Project Hope)
|April 6, 2016
PubMed
Summary

The Affordable Care Act

Keywords:
Health ReformInsuranceInsurance Market < Insurance

More Related Videos

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

12.0K
Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
06:30

Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model

Published on: May 24, 2019

5.8K

Related Experiment Videos

Last Updated: Mar 23, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.3K
Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

12.0K
Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
06:30

Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model

Published on: May 24, 2019

5.8K

Area of Science:

  • Health policy and economics
  • Consumer behavior in healthcare markets
  • Health insurance marketplace design

Background:

  • The Affordable Care Act (ACA) established online health insurance Marketplaces to facilitate consumer choice.
  • Effective design of these Marketplaces is crucial for helping consumers navigate complex health plan decisions.
  • Previous enrollment periods highlighted varying levels of consumer engagement with decision-support tools.

Purpose of the Study:

  • To examine the choice environment within state-based ACA Marketplaces and HealthCare.gov during the third open enrollment period.
  • To assess the adoption and variations in decision-support tools, such as cost estimators and provider lookups.
  • To understand differences in tool availability between pre- and post-account creation shopping phases.

Main Methods:

  • Analysis of the user interface and features of state-based ACA Marketplaces and HealthCare.gov.
  • Comparison of decision-support tools offered during the third open enrollment period with previous periods.
  • Examination of the implementation of total cost estimators and provider lookup functionalities.

Main Results:

  • Increased adoption of decision-support tools like total cost estimators and integrated provider lookups compared to prior periods.
  • Variations observed in how total cost estimators function, with some requiring consumer-defined utilization and others using assigned profiles.
  • Discrepancies in tool availability between the 'window-shopping' (pre-account) and 'real-shopping' (post-account) phases across different Marketplaces.

Conclusions:

  • The design of ACA Marketplaces influences consumer decision-making for health plans.
  • Greater utilization of decision-support tools indicates potential improvements in the choice environment.
  • Further research is necessary to determine the impact of specific choice architecture elements and tool effectiveness on optimal plan selection.