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

Confirmation Biases01:31

Confirmation Biases

8.1K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
8.1K
Hindsight Biases01:12

Hindsight Biases

4.2K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
4.2K
Bias01:22

Bias

7.3K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.3K
Diode: Forward bias01:20

Diode: Forward bias

2.1K
In semiconductor devices, diodes play a crucial role in directing current flow, and its operation is primarily categorized into forward bias and reverse bias. A diode is said to be forward-biased when its p-type region is connected to the positive terminal of a battery and its n-type region is linked to the negative terminal. This configuration reduces the potential barrier within the diode, allowing current to flow easily from the p to the n-type region.
The behavior of a diode in forward bias...
2.1K
Biasing of FET01:22

Biasing of FET

687
Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the...
687
Biasing of P-N Junction01:16

Biasing of P-N Junction

1.9K
The operation of a p-n junction diode involves various biasing conditions, including forward bias, reverse bias, and equilibrium.
In equilibrium, no external voltage is applied across the p-n junction. The depletion region is formed at the junction interface due to the diffusion of carriers, which leaves behind charged dopants, acceptors on the p-side, and donors on the n-side. These immobile charges create an electric field that prevents further diffusion of carriers. The related energy band...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Racial/Ethnic Differences in the Joint Effect of Edentulism and Diabetes on All-Cause Mortality Risks: A 12-Year Prospective Cohort Analysis.

Journal of public health dentistry·2025
Same author

Relative Productivity of For-Profit Hospitals: A Big or a Little Deal?

Medical care research and review : MCRR·2023
Same author

Effects of the Co-occurrence of Diabetes Mellitus and Tooth Loss on Cognitive Function.

Current Alzheimer research·2021
Same author

Does Having a Minor Child Affect Criminal Charges and Sanctions Imposed on Female Defendants?

Women & criminal justice·2021
Same author

Quality and Cost of Care by Hospital Teaching Status: What Are the Differences?

The Milbank quarterly·2021
Same author

Changes in Mental Health Following the 2016 Presidential Election.

Journal of general internal medicine·2020

Related Experiment Video

Updated: Jan 22, 2026

Oral Health Assessment by Lay Personnel for Older Adults
08:47

Oral Health Assessment by Lay Personnel for Older Adults

Published on: February 2, 2020

13.5K

Present bias and health.

Yang Wang1, Frank A Sloan2

  • 1Robert M. La Follette School of Public Affairs, University of Wisconsin-Madison, 1225 Observatory Drive, Madison, WI 53706, USA.

Journal of Risk and Uncertainty
|June 28, 2019
PubMed
Summary

Individuals with diabetes exhibit significant present bias and naivete, explaining poor adherence to health guidelines. Understanding these biases is crucial for improving health care decision-making and treatment compliance.

Keywords:
AdherenceDiabetesHyperbolic discountingNaivetePresent biasTime preference

More Related Videos

Assessment of Mouse Judgment Bias through an Olfactory Digging Task
12:10

Assessment of Mouse Judgment Bias through an Olfactory Digging Task

Published on: March 4, 2022

3.1K
Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

6.2K

Related Experiment Videos

Last Updated: Jan 22, 2026

Oral Health Assessment by Lay Personnel for Older Adults
08:47

Oral Health Assessment by Lay Personnel for Older Adults

Published on: February 2, 2020

13.5K
Assessment of Mouse Judgment Bias through an Olfactory Digging Task
12:10

Assessment of Mouse Judgment Bias through an Olfactory Digging Task

Published on: March 4, 2022

3.1K
Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

6.2K

Area of Science:

  • Behavioral Economics
  • Health Economics
  • Decision Science

Background:

  • Clinical guidelines are established for chronic diseases like diabetes.
  • Many patients do not adhere to these evidence-based guidelines.
  • Understanding non-adherence factors is critical for public health.

Purpose of the Study:

  • To quantify present bias and naivete in health care decisions.
  • To investigate the role of these biases in guideline non-adherence.
  • To use diabetes patients as a case study for these behavioral factors.

Main Methods:

  • Employed a dynamic discrete choice model.
  • Analyzed health care decision-making processes.
  • Conducted counterfactual simulations to assess bias impact.

Main Results:

  • Found substantial evidence of present bias and naivete in the studied population.
  • Present bias significantly influences individuals' choices regarding health care.
  • Naivete about one's own present bias also plays a key role.

Conclusions:

  • Present bias and naivete are significant drivers of low adherence to diabetes care guidelines.
  • Interventions addressing these cognitive biases may improve patient compliance.
  • Dynamic models offer insights into complex health behavior.