Student #1
During my nurse residency program, I participated in a project that collects objectivee data on how effective our new Intravenous line(IV) assessment guideline was in preventing IV-associated infections. We collected data through pre and post-surveys that were sent out to the nurses. The survey questions were consisted of binary and discrete data(eg. yes/no, rating from a scale of 0 to 10, infection counts, etc). And we gave about a month between the pre and post-survey. It was not the most rigorous experiment but our team managed to get enough responses back to compare the results. We turned the results into bar charts so it was easier to visualize any changes. We concluded that there were decreased cases of IV-associated complications after the new guideline implementation.
Student #2
One situation in which I was responsible for collecting data was during my internship in which I held the role of Patient Experience Intern. The majority of my responsibilities included surveying current and prior patients of the hospital's emergency department to obtain satisfaction levels regarding their experience while staying at the hospital, with the data collected to be used to adjust the department's standard operating procedure. All data collected was done via surveys distributed to patients through the patient portal or by phone call. Specific data collected included qualitative variables such as age, gender, race, ethnicity, and yes/no questions pertaining to satisfaction level, for example, "were you satisfied with the overall level of care you received?". Other data obtained was quantitative, including age, length of stay, length of wait time to triage, length of wait time to be admitted, and length of time waited to be assessed/treated by a physician or other provider. As I was only responsible for collecting data and my internship with the hospital came to an end prior to the completion of data collection, I cannot comment on the mean, median, or mode of the data nor the center and spread of the data.