NUR 550 Evidence-Based Practice Project Proposal Research Design Comparison

NUR 550 Evidence-Based Practice Project Proposal Research Design Comparison

NUR 550 Evidence-Based Practice Project Proposal Research Design Comparison

Translational Research Graphic Organizer Template

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T1 Research

 

T2 Research

 

T3 Research

Quantitative

Research

Observations (Similarities/Differences)
Methodology Entails testing effects of and use of scientific research outcomes in clinical settings. It ascertains the efficacy of knowledge generated from scientific discoveries on human physiology (Fort et al., 2017).

It also entails proof of concept and use of healthy volunteers to ascertain the efficacy of the drugs or knowledge produced.

 

 

 

 

 

Researchers utilize controlled settings in trying new diagnostic interventions.

Through the approach they develop evidence-based uses and guidelines in clinical practice (Felege et al., 2016).

Research explores the use of the guidelines in general population.

The model uses diffusion research to translate the guidelines into practice to benefit populations.

Quantitative research emphasizes objective measurements and statistical, and numerical analysis of the collected data (Deistung et al., 2017). Both translational and quantitative researches utilize human subjects and clinical settings or studies.

Quantitative studies focus on diagnosis, interventions and treatment protocols of diseases while translational research fills the gap between practice and scientific discoveries (Parajuli et al., 2018).

 

Goals The goal is to yield knowledge on human physiology and the potential for intervention (Rubio et al., 2016).

 

 

 

 

 

To offer information about the efficacy of the interventions in clinical environment

To ascertain the efficacy of interventions and treatment.

To utilize information and knowledge obtained to provide health services

To attain information on the efficacy of the interventions in practical settings

Dissemination and execution of the research recommendations.

To develop guidelines based on outcomes as patient routine practices (Felege et al., 2016).

The goal of quantitative research is to test certain hypotheses, look at the cause and effect scenarios in research, and make predictions (Felege et al., 2016). Quantitative research uses controlled settings to test proved hypotheses that helps in idea exploration as well as lays the foundation for more studies, particularly translational research.

Translational research focuses on developing clinical and scientific results to improve patient outcomes and community health (Rubio et al., 2016).

The three translation research studies are related as they are used systematically in offering new treatment interventions in populations

Data Collection Data is collected from the observational studies, clinical trials and case studies, and phase I and II trials (Surkis et al., 2016).

 

 

 

 

 

Data is collected through synthesizing of evidence, developed guidelines and phase III trials. Data is collected through diffusion research, phase IV trials and dissemination research. Data is collected through surveys, experiments, and observation, and content analysis (Deistung et al., 2017). Data comes from questionnaires and manipulating pre-existing data  A common data collection approach used in these studies is observation. The method is utilized in both T1 and T2 and quantitative. In both research approaches, data is quantified into outcomes for interpretation (Parajuli et al., 2018). The two research models use data collection approaches that include interview, and surveys.

 

 

References

Bouhassira, D., & Attal, N. (2016). Translational neuropathic pain research: a clinical

perspective. Neuroscience, 338, 27-35.

Deistung, A., Schweser, F., & Reichenbach, J. R. (2017). Overview of quantitative susceptibility

NUR 550 Evidence-Based Practice Project Proposal Research Design Comparison
NUR 550 Evidence-Based Practice Project Proposal Research Design Comparison

mapping. NMR in Biomedicine, 30(4), e3569.

Fort, D. G., Herr, T. M., Shaw, P. L., Gutzman, K. E. & Starren, J. B. (2017). Mapping the

evolving definitions of translational research. Journal of Clinical and Translational Science, 1(1), 60-66.

Rubio, D. M., Robinson, G. F. W. B., Gillian, V. A., Primack, B. A., Switzer, G. E., Seltzer, D.

L., & Kapoor, W. N. (2016). Characterization of Investigators’ Approach to Translational Research: A Qualitative Study. CTS Journal, 7(6), 441-446.

Surkis, A., Hogle, J. A., DiazGranados, D., Hunt, J. D., Mazmanian, P. E., Connors, E.,

Westaby, K., Whipple, E. C., Adamus, T., Mueller, M. & Aphinyanaphongs, Y. (2016). Classifying publications from the clinical and translational science award program along the translational research spectrum: a machine learning approach. Journal of Translational Medicine, 14(235).

Parajuli, S. B., Bhattarai, P., & Heera, K. C. (2018). Translational research: Current status, challenges and future strategies in Nepal. Nepalese Heart Journal, 15(2), 3-8.

Felege, C., Hahn, E., & Hunter, C. (2016). Bench, bedside, curbside, and home: Translational research to include transformative change using educational research. Journal of Research Practice, 12(2), P1.