91Ó°ÊÓ

Does frequent use of acetaminophen lead to asthma-related complications among children? Excerpts from the abstract of a study published in The New England Journal of Medicine about this are given (Sheehan et al. 2016). Read them and then answer the questions that follow. Methods: In a randomized, double-blind, parallel-group trial, we enrolled 300 children (age range, \(12-59\) months) with mild persistent asthmas and assigned them to receive either acetaminophen or ibuprofen when needed for the alleviation of fever or pain over the course of 48 weeks. The primary outcome was the number of asthma exacerbations that let to treatment with systemic glucocorticoids. Results: The number of asthmas exacerbations did not differ significantly between the two groups, with a mean of \(0.81\) per participant with acetaminophen and \(0.87\) per participant in the ibuprofen group \((\mathrm{p}=0.67)\) a. Identify the treatment variable and the response variable. b. Was this a controlled experiment or an observational study? c. How does the p-value support the conclusion of the study? d. Did this study use random sampling, random assignment, or both?

Step by step solution

01

Identify the Variables

In a scientific experiment, the treatment variable is what the researcher has control over and manipulates, and the response variable is what is being measured. In this case, the treatment variable is whether the children took acetaminophen or ibuprofen. The response variable, on the other hand, is the number of asthma exacerbations that lead to treatment with systemic glucocorticoids.

02

Type of the Study

This is a controlled experiment, as is indicated by 'randomized, double-blind, parallel-group trial'. The children were randomly assigned to receive either acetaminophen or ibuprofen, and the study is double-blind, so neither the children nor the researchers knew which child is getting which medication until the trial is over.

03

Understanding the p-value

The p-value indicates the probability that the results of the experiment happened by chance. In this case, the p-value of \(0.67\) implies a strong likelihood that the result could have happened by chance, meaning that there is no significant difference in the number of asthma exacerbations between the treatment (acetaminophen) and control group (ibuprofen).

04

Random Sampling or Random Assignment

Random assignment was used in this study. The children were randomly assigned to receive either acetaminophen or ibuprofen. It is not explicitly stated whether random sampling was used to select these 300 children. Usually, in clinical trials such as this one, the focus is on random assignment to groups more than random sampling from a population.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Random Assignment

Random assignment plays a crucial role in the integrity and reliability of controlled experiments. In this approach, participants are assigned to different groups randomly, which ensures that each participant has an equal chance of being placed in any of the experimental groups. This technique helps to minimize any pre-existing differences among the participants that could affect the outcome of the study.
In the given study on acetaminophen use and asthma-related complications, random assignment was employed to allocate 300 children into two groups: one receiving acetaminophen and the other receiving ibuprofen. By doing this, the researchers aimed to ensure that any observed differences in outcomes could be attributed to the treatment itself, and not to other external factors.
It is essential to distinguish random assignment from random sampling. Random assignment is used to create comparable groups for the experiment, whereas random sampling involves selecting individuals from a broader population to participate in the study.

Treatment Variable

In any experiment, the treatment variable is the factor that the researchers manipulate to understand its impact on the participants. This variable is sometimes referred to as the independent variable, as it is independent of other variables in the study.
In the study of acetaminophen and asthma, the treatment variable is the medication given to the children: either acetaminophen or ibuprofen. By controlling this variable, the researchers aimed to investigate whether the type of medication influences the frequency of asthma exacerbations.
It's important to ensure that the treatment variable is clearly defined and consistently applied across the study to maintain the experiment's validity and reliability. This allows researchers to make meaningful comparisons between the treatment and control groups.

Response Variable

The response variable, also known as the dependent variable, is the outcome that researchers measure in an experiment. Its purpose is to gauge the effect of the treatment variable on the participants.
In this particular study, the response variable is the number of asthma exacerbations that lead to treatment with systemic glucocorticoids. Essentially, researchers wanted to see if the choice of medication would influence these asthma episodes.
By carefully monitoring this response variable, the study aims to provide insights into the safety and efficacy of using acetaminophen versus ibuprofen in children with mild persistent asthma.

p-value

The p-value is a crucial statistic used to determine the significance of the results obtained in a scientific study. It represents the probability that the observed results occurred by chance, assuming that there is no true effect or difference.
In the study at hand, the reported p-value was 0.67. This suggests that there is a 67% chance that the observed difference in asthma exacerbations between the two medication groups occurred by random chance. Generally, a p-value below 0.05 indicates statistical significance; hence, a p-value of 0.67 means the study did not find a statistically significant difference between the acetaminophen and ibuprofen groups.
A high p-value like this often suggests that there is insufficient evidence to reject the null hypothesis, which in scientific terms means concluding that there is no notable effect of the treatment being tested.

Scientific Method

The scientific method is a systematic and structured approach used by researchers to explore questions, acquire knowledge, and communicate findings. It involves several critical steps that ensure the credibility and repeatability of scientific studies.
1. **Question:** Initially, researchers identify a specific question or problem to study.
2. **Hypothesis:** A testable hypothesis is formulated, predicting the relationship between variables.
3. **Experiment:** The experiment is designed to test the hypothesis, involving mechanisms like random assignment to control for biases.
4. **Observation and Data Collection:** Researchers meticulously collect data during the experiment.
5. **Analysis:** Data is analyzed, often using statistical methods such as calculating p-values, to draw conclusions.
6. **Conclusion:** Based on data analysis, conclusions are drawn regarding the hypothesis.
In this study, the scientific method was meticulously applied; from hypothesis forming to analyzing data using p-values to conclude that there was no significant difference in asthma exacerbations between the two medication groups.