Question 1
The target population of this research study is comprised of patients who suffer from Chronic Heart Failure (HF). This identification is based on the lack of adoption of ambulation among patients by health institutions for fear of causing adverse consequences for critical patients recovering from HF.
Question 2
The inclusion criteria of the study was the admission of patients suffering from Chronic Heart Failure whereas the exclusion criteria was the patient’s fear or allergic reaction to dogs.
Question 3
The study involved nonprobability sampling. This is because not all patients identified as the target population had an equal chance of being chosen
Question 4
The indication of the adequacy of the number of participants stemmed from the application of historical sample analysis that adopted 69 patients, thereby justifying the 69 participants involved in the study. The weakness of method by which participants were drawn is based on the lack of representation of the entire population. The adoption of nonprobability sampling eliminates the chances of equal selection of participants, thereby eliminating the aspect of the representation of the target population.
Question 5
The adoption of a randomly selected comparison group addresses threats to validity such as selection bias. This approach addresses differences in the participants to ensure accurate representation.
Question 6
The evidence collected from the study is strong owing to the adoption of scientific methods to analyze the data. In this case, the study adopted the use of GraphPad Software that used in order to calculate the results of the McNemar question test. This test was used to address the research question which focused on the agreement by patients to use a therapy dog to ambulate. In addition, from the initial target of 69 patients, 66 patients agreed to participate, hence improving the confidence of the results of the study.
Question 7
A nurse can use the results of this study to adopt the use of Canine-Assisted Ambulation. This technique will assist the patient to achieve faster recovery and less time spent under hospitalization, hence reduced healthcare costs.