My primary area of interest is affordable healthcare in minority groups with fixed income under $30,000. The quantitative approach will permit a collection of facts, opinions, behaviors, and attitudes to be analyzed. Besides, the approach permits result from a larger population, such as the minority groups, to be generalized. Through the quantitative approach, the population will have the chance to disclose their needs and causes of inadequate healthcare.
The EBP project intends to exploit effective intervention to encourage healthy wellbeing for these individuals. Deploying affordable healthcare coverage may make a significant difference for minority groups with fixed income under $30,000 (Courtemanche et al., 2018). The theoretic findings endorse a particular concept that affordable insurance covers affect the kind of care patients receive, thereby ensuring a 30% reduction of inpatient hospitalization and death cases. Therefore, it is imperative to investigate the link between affordable insurance cover and hospitalization rates to measure the suggested intervention’s effectiveness (Park, 2017). Given my area of interest, I have formulated the following PICOT question
In minority groups with fixed income under $30,000 (P), how do deploying insurance covers (I) compared to not deploying insurance covers (C) contribute to a 30% reduction of inpatient hospitalization and death cases (O) over a period of eight weeks (T)?
It is also important to develop a practice question, which will be answered by the EBP project. The practice question should include the population, variables, and suggestion of the link among these variables. In this case, the population comprises minority groups with fixed income under $30,000 while the variable is deploying insurance covers. Therefore, the practice question is;
Is there a connection between deploying insurance cover and a 30% reduction of inpatient hospitalization and death cases in minority groups with fixed income under $30,000?