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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
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Blind Procedures

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...

Cause and Effect

Cause and Effect

While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?

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.

What is an Experiment?

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An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...

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An Experimental Approach to Investigating Effects of Artificial Light at Night on Free-Ranging Animals: Implementation, Results, and Directions for Future Research

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Effect of altering alarm settings: a randomized controlled study.

Maria Cvach, Kathleen J Rothwell, Ann Marie Cullen

Biomedical Instrumentation & Technology

|May 21, 2015

Summary

This summary is machine-generated.

Reducing medical alarm fatigue by altering default settings in cardiac care units may decrease alarm frequency. This pilot study found altered settings feasible and potentially increased detection of critical events without adverse patient outcomes.

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Area of Science:

Critical Care Medicine
Biomedical Engineering
Patient Safety

Background:

High rates of false alarms from medical devices can lead to alarm fatigue among clinicians.
Alarm fatigue may decrease staff responsiveness to critical events and negatively impact patient care.
The impact of reducing alarm frequency on patient outcomes remains uncertain.

Purpose of the Study:

To evaluate the feasibility of a randomized controlled trial protocol for altering medical device alarm settings.
To examine differences in alarm frequency, clinically significant events, and event-triggered interventions between standard and altered alarm settings.
To assess patient complications and outcomes in a cardiac care unit with modified alarm parameters.

Main Methods:

A pilot, prospective, randomized controlled trial was conducted in a cardiac care unit.
Patients were randomized daily to either standard or altered cardiac care unit (CCU) alarm settings.
Secondary outcomes included clinically significant events (CSEs), event-triggered interventions (ETIs), alarm frequency, and patient complications.

Main Results:

A total of 22 patients were enrolled over a two-week period.
The study group experienced significantly fewer alarms (1,165) compared to the standard group (1,710) (P < 0.001).
More clinically significant events (CSEs) and event-triggered interventions (ETIs) were detected in the study group, though efficacy could not be determined due to small sample size. No adverse patient outcomes were observed.

Conclusions:

The study demonstrated the feasibility of the protocol for a randomized controlled trial on altering default alarm settings.
Altering alarm settings may reduce alarm frequency and potentially increase the detection of critical events.
A larger study with a similar design is recommended to further evaluate the efficacy and impact on patient outcomes.