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Which research design should be used to determine whether there is a difference in the effectiveness of two preoperative preparation methods on length of stay?

1) Survey design
2) Experimental design
3) Nonexperimental design
4) Descriptive comparison design

User Jon Church
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1 Answer

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Final answer:

An experimental design is the most suitable research design to determine whether there is a difference in the effectiveness of two preoperative preparation methods on length of stay. Participants would be randomly split into groups receiving different preparations, and the length of stay would be compared to see the effects of the methods.

Step-by-step explanation:

To determine whether there is a difference in the effectiveness of two preoperative preparation methods on length of stay, the appropriate research design to use would be 2) Experimental design. In an experimental design, participants would be randomly assigned to two groups: one using the first preoperative preparation method, and the other using the second method. The length of hospital stay for patients in both groups would then be compared to identify any significant difference that can be attributed to the methods used.

In an experimental design, the population being studied would be patients undergoing a specific type of surgery. The experimental units would be the individual patients. The explanatory variable would be the type of preoperative preparation method, and the response variable would be the length of hospital stay. The treatments in this scenario are the two different preoperative preparation methods, and they are assigned to participants via random assignment to minimize the influence of confounding variables.

Blinding and placebos may not be directly applicable in this context, as the interventions are preparation methods rather than treatments taken by participants. However, blinding could involve ensuring that the staff measuring the length of stay are unaware of which preparation method was used, thus preventing bias in recording and interpreting data.

User Cela
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