1. Data collection methods: Identify the different methods of data collection for each case study. Is this a quantitative, qualitative, or mixed-methods study? Explain your reasoning. Family Nurse Practitioner Case Study

Researchers collected data from a local pediatrician's office to determine factors associated with low weight gain among newborns. A survey was sent to the parents of 200 newborns that were clients over the past year,of which100 parents responded, for a response rate of 50%. Researchers noticed that about 70% of the responses were from parents of females, but the town infants seen at the hospital were 50% female/male.

The respondents decided to focus on determining whether three factors were different between infants who had healthy weight gain and those who gained less than ideal weight (variable 1): parental age (variable 2), gender (variable 3), and weight at birth (measured in pounds) (variable 4). The questions about parental age did not clarify whether it was the age of the mother or father, so whichever parent completed the survey would have provided their age.

Nurse Executive Leader Case Study

Researchers collected data from a hospital to determine factors associated with hypertension among patients at the hospital. A survey was sent to 1,000 patients who had visited the hospital over the past year, of which 500 patients responded, for a response rate of 50%. Researchers noticed that about 20% of the responses were from people with hypertension, but data from the hospital indicated about 40% of patients had hypertension.

The researchers decided to focus on determining whether three factors were associated with hypertension and without hypertension (variable 1), age (variable 2), gender (variable 3), and the number of stressful life events over the previous year (variable 4). For the last question, respondents needed to recall and write a list of all these events, and the researchers counted them.

Nurse Educator Case Study

Researchers collected data from an elementary school to assess awareness of dietary guidelines among students at the school. A survey was sent to 200 students, of which 150 students responded, as 50 students did not receive parental permission to participate. So, the response rate was 75%.

The researchers decided to focus on determining whether three factors were associated with having good or poor awareness of dietary guidelines (variable 1), age (variable 2), gender (variable 3), and the distance from their home to the nearest supermarket (variable 4). For the last question, students needed to estimate this distance on their own.

Population Health Case Study

Researchers collected data from residents of a city with a population of 100,000 people to assess awareness of physical activity guidelines. Because of the difficulty of mailing surveys to people in the city, the researchers collected data from a convenience sample of 1,000 people (1%the people who walked past city hall on a Wednesday morning).

The researchers decided to focus on determining whether three factors were associated with having good or poor awareness of physical guidelines (variable 1): age (variable 2), gender (variable 3), and years of education (variable 4). Only 61% of the respondents answered the question about years of education.

Patient Safety and Quality Case Study

Researchers from a local hospital sought to determine factors associated with readmission among patients treated for a heart attack. A survey was sent to all patients admitted to the hospital for a second heart attack within one year of their first heart attack. The same survey was sent to all patients who had a heart attack but were not admitted for at least a year following that heart attack. Because the survey was given while they were at the hospital, 90% of those readmitted to the hospital responded. Because the survey was mailed to those who were not readmitted, only 40% of those patients responded.

The researchers decided to focus on determining whether three factors were different between patients who were readmitted and patients who were not readmitted (variable 1), age (variable 2), gender (variable 3), and the number of stressful life events over the previous year (variable 4). For the last question, respondents needed to recall and list of all these events, and the researchers counted them.