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Crossover Experiments

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.

Comparing the Survival Analysis of Two or More Groups

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...

Randomized Experiments

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...

Blinding

Blinding

Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.

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Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

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Comparing Synchronous and Asynchronous Remotely Delivered Lifestyle Interventions: Protocol for a Randomized

Sherry Pagoto¹, Ran Xu¹, Richard Bannor¹

¹Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.

JMIR Research Protocols

|December 19, 2024

Summary

This summary is machine-generated.

Asynchronous remote lifestyle interventions show promise for weight loss maintenance, offering comparable efficacy to synchronous methods at a lower cost. This approach may enhance long-term engagement and sustainability for participants.

Keywords:

digital health engagement lifestyle intervention mobile phone obesity weight loss maintenance

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Area of Science:

Health Sciences
Behavioral Science
Public Health

Background:

Remotely delivered lifestyle interventions enhance accessibility compared to traditional in-person programs.
Asynchronous interventions, delivered via online platforms, offer flexibility and convenience, potentially improving sustainability.
Evidence is needed to support the efficacy and long-term benefits of asynchronous remote interventions for weight management.

Purpose of the Study:

To compare the efficacy and cost-effectiveness of synchronous versus asynchronous remotely delivered lifestyle interventions.
To test the hypothesis that asynchronous interventions are noninferior to synchronous interventions in terms of weight loss.
To evaluate long-term engagement and weight loss maintenance in asynchronous interventions.

Main Methods:

A randomized noninferiority trial involving 328 participants with overweight or obesity.
Interventions delivered synchronously via videoconference or asynchronously via private Facebook groups, based on the Diabetes Prevention Program.
Primary outcome: mean percent weight loss at 6 and 12 months; secondary outcomes: engagement, cost, and weight loss at 18 and 24 months.

Main Results:

Participant recruitment is scheduled to begin in December 2024, with the intervention starting in February 2024.
The study is approved and funded, with data collection planned over a 24-month period.
Analysis will focus on comparing weight loss, engagement, and cost between synchronous and asynchronous delivery methods.

Conclusions:

Asynchronous remote interventions may be as effective as synchronous ones for weight loss.
Asynchronous interventions could offer greater sustainability and long-term weight loss maintenance.
This approach may reduce delivery costs per pound lost, enhancing scalability.