In this NUR-550: Translational Research and Population Health Management course learners examine the process of scientific inquiry, knowledge generation, utilization, and dissemination of evidence into advanced nursing practice in order to propose quality-improvement initiatives that advance the delivery of safe, high-quality care for patient populations. Students evaluate evidence, including scientific findings from the biopsychosocial fields, epidemiology, biostatistics, genetics, and genomics, and apply levels of evidence and theoretical frameworks to design culturally appropriate clinical prevention interventions and population-based care that reduces risks, prevents disease, and promotes health and well-being. Learners also consider strategies to evaluate health policy and advocacy issues, the state of health care delivery, patient-centered care, and ethical principles related to health beliefs, health promotion, and risk reduction for diverse populations.
With our NUR-550: Translational Research and Population Health Management homework help, students will get a better understanding of the topics discussed within this course. Additionally, they will also learn how to apply these strategies to work towards recognizing gaps in nursing and health care knowledge, identifying potential solutions or innovations for those gaps, planning and implementing practice changes, and evaluating the outcomes in order to improve practice.
What is translational research?
Translational research is a dynamic continuum from basic research through application of research findings in practice, communities and public health settings to improve health and health outcomes.
There are several translational phases along this continuum and are sometimes referred to as “bench-to-bedside” and “bedside-to-community”. These five phases of translation Research progresses include:
- Preclinical and animal studies (T0/Basic Science Research)
- Proof of concept/Phase 1 clinical trials (T1/testing efficacy and safety with small group of humans)
- Phase 2 and Phase 3 clinical trials (T3/testing the efficacy and safety with larger group of humans; compare to common treatments)
- Phase 4 clinical trials and clinical outcomes research (T4/Translation to Practice)
- Phase 5 Population-level outcomes research (T5/Translation to Community).
Theories and models of translational science.
What is a translational research model?
A translational research model is an implementation model based on Rogers seminal work on diffusion of innovations, to guide selection of implementation strategies for testing the effectiveness of single or multifaceted implementation interventions. This model focuses on characteristics of the innovation and how the innovation is communicated to users in their social context.
3 organizing aims for using theories and models of translational science.
There are multiple theories and models in translation science. During a qualitative review of implementation theories, models and frameworks done by Nilsen in the year 2015, he noted that there are 3 organizing aims for their use. These uses include:
- To describe or guide the process of translating research into practice.
- To understand and/or explain what influences implementation outcomes.
- Enable one to evaluate implementation.
Enables one to describe or guide the process of translating research into practice.
The first aim includes the process models that specify steps for promoting use of research in practice. These models are often called action models of EBP (e.g., Iowa Model, Knowledge to Action model), with most originating from the nursing discipline.
To understand and/or explain what influences implementation outcomes.
The second aim (to understand/explain) are determinate frameworks, classic theories, and implementation theories. Determinate frameworks, for example, consolidated framework for implementation research, describe domains of factors that influence implementation outcomes such as alignment of practice behaviors with the evidence-base. On the other hand, classic theories are derived from other disciplines such as psychology, sociology, and organizational theory that are applied to implementation studies. Examples of classical theories include the Theory of Planned Behavior and Rogers’ Diffusion of Innovation Theory. Finally, the implementation theories are those that have been developed or adapted by researchers for use in implementation science (e.g., Normalization Process Theory) to guide the understanding and explanation of certain aspects of implementation.
To evaluate implementation.
The third aim (to evaluate implementation) are those frameworks that provide a structure for evaluating implementation efforts. A good example of a commonly used evaluation framework particularly in public health is the RE-AIM framework.