NUR 550 DQ Biostatistics is the application of statistical methods to the analysis of biological data

Biostatistics is the application of statistical methods to the analysis of biological data. It plays an important role in population health research by providing researchers with the tools necessary to measure and understand the relationships between health and risk factors. Through the use of biostatistics, researchers are able to identify patterns and trends in disease prevalence, assess the effectiveness of public health interventions, and develop new hypotheses about the causes of disease (Fox et al., 2020). In addition, biostatistics can be used to calculate risk estimates for specific diseases and track their progress over time. This information is essential for developing effective strategies for preventing disease and promoting public health.

I was hoping after my biostatistics class during my undergraduate study that I would never encounter it again, but I encounter it daily and use it in my nursing practice. I think it can be daunting when we think of it as statistics, but biostatistics is so important in improving health outcomes and for research to meet this goal. Biostatistics helps guide experts through diseases but one of the most common times it is valuable is during disease outbreaks like we saw during the COVID-19 pandemic. Biostatistics can help us explain and predict some of the health outcomes and the direction of epidemics and pandemics as well as influence decision making in public health (Beric-Stojsic, 2021). Epidemiology is the study of the causation, spread and control of disease across time and space and gives us information about health status, morbidity, and mortality in human populations (Beric-Stojsic, 2021). Biostatistics and epidemiology are used together to guide all of our decisions related to the prevention and control of diseases (Beric-Stojsic, 2021). Epidemiology and biostatistics are very significant to my evidence-based practice proposal because in order for it to be evidence-based I need good evidence the comes from well-designed studies that were planned properly for data collection. If studies are not well-designed then the data collected is not useful. I want to base my evidence-based practice on well-designed studies with good evidence.

Epidemiology is the study of how diseases spread and how they can be controlled. It is used to research and address public health challenges such as outbreaks of disease, trying to figure out why one population might be healthier than another, and figuring out what lifestyle changes can improve the health of a population (Villeneuve et al., 2020). Epidemiologists use data from surveys and studies to track the spread of disease, identify risk factors for disease, and develop strategies for preventing or controlling disease. They work with government agencies, public health officials, doctors, and other healthcare professionals to create policies and programs that improve the health of populations.

Epidemiology and biostatistics are essential to the evidence-based practice proposal since it provides information needed to understand the distribution and determinants of health and disease in a population. Biostatistics will help to quantify the strength of associations between exposures and outcomes, and determine whether the association is causal or not. Together, epidemiology and biostatistics will provide the evidence required to make informed decisions about interventions that can improve population health in the evidence-based practice proposal.

Biostatistics and epidemiology are essential for my evidence-based practice (fall prevention on a med-surge unit). I often use these disciplines to calculate risk, evaluate interventions, and make decisions about care. Biostatistics approaches are often considered in calculating the risk of falling and to compare different interventions. For example, it can be applied to compare the effectiveness of different fall prevention strategies. Finally, biostatistics can be used to study the impact of fall prevention interventions in improving patients’ safety and overall quality of health.

References

Fox, M. P., Edwards, J. K., Platt, R., & Balzer, L. B. (2020). The critical importance of asking good questions: the role of epidemiology doctoral training programs. American journal of epidemiology, 189(4), 261-264.https://doi.org/10.1093/aje/kwz233

Villeneuve, P. J., Paradis, G., & Muhajarine, N. (2020). Always better together: the Canadian Journal of Public Health and the Canadian Society for Epidemiology and Biostatistics. Canadian Journal of Public Health, 111(3), 305-307.https://link.springer.com/article/10.17269/s41997-020-00362-x

Description:
Explain the value of biostatistics in population health research. Describe the role of epidemiology in researching and addressing population health challenges. How are epidemiology and biostatistics significant to your evidence-based practice proposal?

Description:
Topic 2: Epidemiology, Biostatistics, Genetics, and Genomics
Description
Objectives:

1. Describe the role of epidemiology in researching population health challenges.
2. Describe the role of epidemiology in addressing population health challenges.
3. Explain the value of biostatistics in population health research.
4. Discuss the application of translational research to global issues.
Study Materials

Advanced Practice Nursing: Essential Knowledge for the Profession
Description:
Read Chapter 19 in Advanced Practice Nursing: Essential Knowledge for the Profession.
Population Health: Creating a Culture of Wellness
Description:
Read Chapters 2 and 3 in Population Health: Creating a Culture of Wellness.
Evidence-Based Practice in Nursing and Healthcare
Description:
Read Chapters 2 and 3 in Evidence-Based Practice in Nursing and Healthcare.
Biostatistics
Description:
Read “Biostatistics,” by Minkoff, from Magill’s Medical Guide (2018).
Population Health
Description:
Read “Population Health” by Bibb, from Encyclopedia of Nursing Research (2017).

A Research Utilisation Framework for Informing Global Health and Development Policies and Programmes NUR 550 DQ Biostatistics is the application of statistical methods to the analysis of biological data
Description:
Read “A Research Utilisation Framework for Informing Global Health and Development Policies and Programmes,” by Christine et al., from Health Research Policy and Systems (2018).
Translational Research
Description:
Read “Translational Research” by White, from Encyclopedia of Nursing Research (2017).
Overview and Summary: Translational Research: From Knowledge to Practice

Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: NUR 550 DQ Biostatistics is the application of statistical methods to the analysis of biological data

Description:
Read “Overview and Summary: Translational Research: From Knowledge to Practice,” by Naylor, from Online Journal of Issues in Nursing (2018).
Genomics
Description:
Tasks
Course Code Class Code Assignment Title Total Points
NUR-550 NUR-550-O503 Evidence-Based Practice Project Proposal: Research Design Comparison 100.0
Criteria Percentage Unsatisfactory (0.00%) Less Than Satisfactory (80.00%) Satisfactory (88.00%) Good (92.00%) Excellent (100.00%)
Content 100.0%
Nursing Practice Problem (Revision) 10.0% The nursing practice problem was not included, or the required revisions were not made. The changes failed to meet the criteria for a relevant nursing practice problem for an evidence-based practice project proposal. Additional revisions are still required for approval. Revisions were made accordingly to improve the proposed nursing practice problem, but some aspects are inaccurate or unclear. Additional revisions are still required for approval. NA The nursing practice problem is clearly presented and approved. No revision was required, or all necessary revisions are were made.
Translational and Traditional Articles 15.0% More than two articles selected do not meet the assignment criteria. At least one article is omitted. Two articles do not meet the assignment criteria. It is unclear how one or two of the articles support the proposed nursing practice problem. One article does not meet the assignment criteria. Overall, the articles generally support the proposed nursing practice problem. The proposed problem would be better supported with the selection of one or two different articles. The articles meet the assignment criteria and provide adequate support for the proposed nursing practice problem. A quantitative article and a qualitative article were each compared to a translational research article. The articles are peer-reviewed, published within the last five years, and pertain to the nursing practice problem. The assignment criteria are fully met.
Comparison of Methodology Between Translational and Traditional Research 15.0% The comparison between translational and quantitative and translational and qualitative methodologies is omitted. The comparison between translational and quantitative and translational and qualitative methodologies is incomplete. There are significant inaccuracies. A summary comparison between translational and quantitative and translational and qualitative methodologies is presented. Some aspects are incorrect or unclear. The comparison between translational and quantitative and translational and qualitative methodologies is adequately presented. Some aspects require more detail for accuracy or clarity. The comparison between translational and quantitative and translational and qualitative methodologies is thorough and accurate. A clear understanding of translational and traditional methodologies is demonstrated.
Comparison of Goals Between Translational and Traditional Research 15.0% The comparison of goals between translational and quantitative and translational and qualitative research is omitted. The comparison of goals between translational and quantitative and translational and qualitative research is incomplete. There are significant inaccuracies. A summary comparison of goals between translational and quantitative and translational and qualitative research is presented. Some aspects are incorrect or unclear. A comparison of goals between translational and quantitative and translational and qualitative research is adequately presented. Some aspects require more detail for accuracy or clarity. The comparison of goals between translational and quantitative and translational and qualitative research is thorough and accurate. An understanding of goals between traditional and translational research is evident.
Comparison of Data Collection Between Translational and Traditional Research 15.0% The comparison of data collection between translational and quantitative and translational and qualitative research is omitted. The comparison of data collection between translational and quantitative and translational and qualitative research is incomplete. There are significant inaccuracies. A summary comparison of data collection between translational and quantitative and translational and qualitative research is presented. Some aspects are incorrect or unclear. The comparison of data collection between translational and quantitative and translational and qualitative research is adequately presented. Some aspects require more detail for accuracy or clarity. The comparison of data collection between translational and quantitative and translational and qualitative research is thorough and accurate. An understanding of goals between traditional and translational research is evident.
Observations (Similarities and Differences) 20.0% The similarities and differences between translational and quantitative and translational and qualitative research are not discussed. The similarities and differences between translational and quantitative and translational and qualitative research are only partially discussed. The narrative is vague and contains inaccuracies. The similarities and differences between translational and quantitative and translational and qualitative research are summarized. More information is needed. There are minor inaccuracies. The similarities and differences between translational and quantitative and translational and qualitative research are presented. Some detail is needed for clarity or accuracy The similarities and differences between translational and quantitative and translational and qualitative research are detailed and informative.
Mechanics of Writing (includes spelling, punctuation, grammar, and language use) 5.0% Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is employed Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Sentence structure is correct but not varied. Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed. Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech. The writer is clearly in command of standard, written, academic English.
Documentation of Sources (citations, footnotes, references, bibliography, etc., as appropriate to assignment and style) 5.0% Sources are not documented. Documentation of sources is inconsistent or incorrect, as appropriate to assignment and style, with numerous formatting errors. Sources are documented, as appropriate to assignment and style, although some formatting errors may be present. Sources are documented, as appropriate to assignment and style, and format is mostly correct. Sources are completely and correctly documented, as appropriate to assignment and style, and format is free of error.