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

Clinical Trials01:16

Clinical Trials

10.9K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
10.9K
Clinical Trials: Overview01:11

Clinical Trials: Overview

5.0K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
5.0K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.6K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

429
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
429
Random Error01:04

Random Error

9.8K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.8K
Random Variables01:09

Random Variables

17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K

You might also read

Related Articles

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

Sort by
Same author

Engagement With Mobile Health Cardiac Rehabilitation Varies Widely Among Older Adults With Ischemic Heart Disease.

Journal of cardiopulmonary rehabilitation and prevention·2026
Same author

Provider comments reveal barriers to EHR nudge effectiveness: process evaluation of a null deprescribing trial.

Implementation science communications·2026
Same author

A Phase-2 Open-Label Trial of Cannabidiol to Treat Core and Associated Symptoms of Autism in Children and Adolescents Without Intellectual Disability.

Journal of child and adolescent psychopharmacology·2026
Same author

Burden of Residual Angina Among Older Adults With Ischemic Heart Disease in the United States: Findings From the RESILIENT Trial.

Circulation. Population health and outcomes·2026
Same author

Stromal Keratitis in the Zoster Eye Disease Study: Lessons Learned.

American journal of ophthalmology·2026
Same author

A double-blind, placebo-controlled, multi-crossover trial of treatment with a chemokine antagonist for knee osteoarthritis pain.

Pain·2025

Related Experiment Video

Updated: Feb 13, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

2.3K

Partners and Alerts in Medication Adherence: A Randomized Clinical Trial.

Judd B Kessler1, Andrea B Troxel2, David A Asch3,4,5,6,7

  • 1Wharton School of the University of Pennsylvania, Philadelphia, PA, USA. judd.kessler@wharton.upenn.edu.

Journal of General Internal Medicine
|March 17, 2018
PubMed
Summary

Automated alerts significantly improved medication adherence in a randomized trial. While social support partners did not show a significant effect, the combination of alerts and partners also boosted adherence.

Keywords:
medication adherencemedication alertssupport partner

More Related Videos

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.6K
Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management
03:53

Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management

Published on: March 15, 2024

3.0K

Related Experiment Videos

Last Updated: Feb 13, 2026

In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

2.3K
Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain
03:26

Author Spotlight: Advancements and Challenges in Surgical Treatments for Postamputation Pain

Published on: March 8, 2024

3.6K
Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management
03:53

Author Spotlight: Regenerative Peripheral Nerve Interface (RPNI) Surgery in Postamputation Pain Management

Published on: March 15, 2024

3.0K

Area of Science:

  • Health behavior research
  • Digital health interventions
  • Clinical trial design

Background:

  • Poor medication adherence is a significant barrier to effective treatment.
  • Interventions are needed to improve patient adherence to prescribed regimens.

Purpose of the Study:

  • To evaluate the effectiveness of social support, automated alerts, and their combination in improving medication adherence.
  • To assess the impact of a medication adherence partner (MAP) and automated alerts on daily statin adherence.

Main Methods:

  • A 6-month, four-arm randomized clinical trial involving 179 participants with low statin adherence.
  • Intervention arms included social support (partner), automated alerts, or both.
  • Medication adherence was measured using wireless pill bottle opening data.

Main Results:

  • Automated alerts significantly increased medication adherence compared to the control group (52.9% vs. 36.0%).
  • The combination of alerts and a medication adherence partner also significantly improved adherence (54.5% vs. 36.0%).
  • Social support alone did not lead to a statistically significant improvement in adherence.

Conclusions:

  • Automated alerts are an effective strategy for improving medication adherence.
  • The role of a designated medication adherence partner in improving adherence requires further investigation.
  • Digital health tools, like automated alerts, show promise in managing chronic conditions.