Please read the questions carefully in order to answer them. Use only 7th edition APA. Please use references only within five years.
Utilizing your learning from this course and from other courses (e.g., research methods, clinical practicum, etc.), address the four hypothetical questions posed in the latter section of this Week’s content. These questions include:
- What would be considered a ‘clinical best-practice guideline’ in this new personalized healthcare world? Would they exist?
- What research designs would be the best to study cause-effect relationships in healthcare? Would randomized control trials still be the ‘gold-standard’ when clinicians are able to develop treatments and medications specific to an individual’s genomic markers?
- How would the profession of nursing look in a world where there is a focus on the genetic composition of an individual in terms of their treatment and recovery? What would nursing education/practice need to do to support this refocus on client care? What are the potential legal and ethical considerations that nurses will need to reflect upon?
- Do you think ‘personalized medicine/healthcare’ will ever exist?
Provide a response to these questions on your blog. Utilize both academic literature and Google searches to help complement your ideas and assertions.
Answer preview
Research designs are strategies used to integrate various components in a logical way to address a research problem. Observational design, experimental design, and quasi-experimental designs are some of the research designs for studying causals in healthcare. Randomized trials remain a valid way of developing new medications. Randomized trials are still a gold standard in the development of new treatments associated with biomarkers. Randomized trials entail splitting the research participants into the control and trial group, and this is crucial in testing the effectiveness of the new treatments on individual patients. Therefore, randomized trials are essential in determining the effectiveness of new medications related to individual biomarkers.
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