NUR-590 Topic 4: Data Collection and Data Analysis

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NUR-590 Topic 4: Data Collection and Data Analysis – Step-by-Step Guide

The first step before starting to write the NUR-590 Topic 4: Data Collection and Data Analysis, it is essential to understand the requirements of the assignment. The first step is to read the assignment prompt carefully to identify the topic, the length and format requirements. You should go through the rubric provided so that you can understand what is needed to score the maximum points for each part of the assignment. 

It is also important to identify the audience of the paper and its purpose so that it can help you determine the tone and style to use throughout. You can then create a timeline to help you complete each stage of the paper, such as conducting research, writing the paper, and revising it to avoid last-minute stress before the deadline. After identifying the formatting style to be applied to the paper, such as APA, you should review its use, such as writing citations and referencing the resources used. You should also review how to format the title page and the headings in the paper.

How to Research and Prepare for NUR-590 Topic 4: Data Collection and Data Analysis

The next step in preparing for your paper is to conduct research and identify the best sources to use to support your arguments. Identify the list of keywords from your topic using different combinations. The first step is to visit the university library and search through its database using the important keywords related to your topic. You can also find books, peer-reviewed articles, and credible sources for your topic from PubMed, JSTOR, ScienceDirect, SpringerLink, and Google Scholar. Ensure that you select the references that have been published in the last words and go through each to check for credibility. Ensure that you obtain the references in the required format, for example, in APA, so that you can save time when creating the final reference list. 

You can also group the references according to their themes that align with the outline of the paper. Go through each reference for its content and summarize the key concepts, arguments and findings for each source. You can write down your reflections on how each reference connects to the topic you are researching about. After the above steps, you can develop a strong thesis that is clear, concise and arguable. Next you should create a detailed outline of the paper so that it can help you to create headings and subheadings to be used in the paper. Ensure that you plan what point will go into each paragraph.

How to Write the Introduction for NUR-590 Topic 4: Data Collection and Data Analysis

The introduction of the paper is the most crucial part as it helps to provide the context of your work, and will determine if the reader will be interested to read through to the end. You should start with a hook, which will help capture the reader’s attention. You should contextualize the topic by offering the reader a concise overview of the topic you are writing about so that they may understand its importance. You should state what you aim to achieve with the paper. The last part of the introduction should be your thesis statement, which provides the main argument of the paper.

How to Write the Body for NUR-590 Topic 4: Data Collection and Data Analysis

The body of the paper helps you to present your arguments and evidence to support your claims. You can use headings and subheadings developed in the paper’s outline to guide you on how to organize the body. Start each paragraph with a topic sentence to help the reader know what point you will be discussing in that paragraph. Support your claims using the evidence conducted from the research, ensure that you cite each source properly using in-text citations. You should analyze the evidence presented and explain its significance and how it connects to the thesis statement. You should maintain a logical flow between each paragraph by using transition words and a flow of ideas.

How to Write the In-text Citations for NUR-590 Topic 4: Data Collection and Data Analysis

In-text citations help the reader to give credit to the authors of the references they have used in their works. All ideas that have been borrowed from references, any statistics and direct quotes must be referenced properly. The name and date of publication of the paper should be included when writing an in-text citation. For example, in APA, after stating the information, you can put an in-text citation after the end of the sentence, such as (Smith, 2021). If you are quoting directly from a source, include the page number in the citation, for example (Smith, 2021, p. 15). Remember to also include a corresponding reference list at the end of your paper that provides full details of each source cited in your text. An example paragraph highlighting the use of in-text citations is as below:

The integration of technology in nursing practice has significantly transformed patient care and improved health outcomes. According to Smith (2021), the use of electronic health records (EHRs) has streamlined communication among healthcare providers, allowing for more coordinated and efficient care delivery. Furthermore, Johnson and Brown (2020) highlight that telehealth services have expanded access to care, particularly for patients in rural areas, thereby reducing barriers to treatment.

How to Write the Conclusion for NUR-590 Topic 4: Data Collection and Data Analysis

When writing the conclusion of the paper, start by restarting your thesis, which helps remind the reader what your paper is about. Summarize the key points of the paper, by restating them. Discuss the implications of your findings and your arguments. End with a call to action that leaves a lasting impact on the reader or recommendations.

How to Format the Reference List for NUR-590 Topic 4: Data Collection and Data Analysis

The reference helps provide the reader with the complete details of the sources you cited in the paper. The reference list should start with the title “References” on a new page. It should be aligned center and bolded, in sentence sentence care. The references should be organized in an ascending order alphabetically and each should have a hanging indent. If a source has no author, it should be alphabetized by the title of the work, ignoring any initial articles such as “A,” “An,” or “The.” If you have multiple works by the same author, list them in chronological order, starting with the earliest publication. 

Each reference entry should include specific elements depending on the type of source. For books, include the author’s last name, first initial, publication year in parentheses, the title of the book in italics, the edition (if applicable), and the publisher’s name. For journal articles, include the author’s last name, first initial, publication year in parentheses, the title of the article (not italicized), the title of the journal in italics, the volume number in italics, the issue number in parentheses (if applicable), and the page range of the article. For online sources, include the DOI (Digital Object Identifier) or the URL at the end of the reference. An example reference list is as follows:

References

Johnson, L. M., & Brown, R. T. (2020). The role of telehealth in improving patient outcomes. Journal of Nursing Care Quality, 35(2), 123-130. https://doi.org/10.1097/NCQ.0000000000000456

Smith, J. A. (2021). The impact of technology on nursing practice. Health Press.

NUR-590 Topic 4: Data Collection and Data Analysis

Objectives:

  1. Select a research design for the evidence-based project proposal.
  2. Select a statistical test for the evidence-based project proposal.

NUR 590 Topic 4 DQ 1

Explain whether you would select a qualitative or quantitative design to collect data and evaluate the effectiveness of your evidence-based practice project proposal. Identify which data collection tool you would specifically use and explain why this design is best for your evidence-based practice project proposal.

NUR 590 Topic 4 DQ 1 Example 1 CAT: What is the difference between a qualitative and a quantitative research design?

Research designs are the strategies that help integrate study components to logically and coherently address a research problem. Strijker et al. (2020) note that research dictates data collection, measurement, analysis, and dissemination. The research design is influenced by the study’s research questions and objectives. Qualitative and quantitative research studies vary based on these parameters.

Qualitative research designs are subjective inductive processes, while quantitative research designs are deductive objective research studies. Due to their nature of testing, quantitative studies have statistical data and thus utilize data analysis tools and statistical tests. Qualitative research designs utilize thematic and content analysis because they deal with textual data, while quantitative studies use numeric data (Mehrad et al., 2019). Qualitative research designs are explorative, while quantitative ones are often conclusive. These are the significant differences between qualitative and quantitive research designs

Reference

Mehrad, A., & Zangeneh, M. H. T. (2019). Comparison between qualitative and quantitative research approaches. Social Sciences. International Journal For Research In Educational Studies, Iran, 1-7.

Strijker, D., Bosworth, G., & Bouter, G. (2020). Research methods in rural studies: Qualitative, quantitative, and mixed methods. Journal of Rural Studies, 78, 262-270. https://doi.org/10.1016/j.jrurstud.2020.06.007

Example Topic 4 DQ 1 Response

The nursing practice of interest is medication errors, and the evidence-based intervention selected is Barcode Medication errors. Prevalence and burden data are quantitative and are based on the number of medication errors. Any research study’s objectives and research questions influence the design because studies attempt to answer study questions and meet the research objectives.

The study’s objectives can only be studied using statistical means by evaluating data from the hospital database. The prevalence of medication administration errors compared to other medication errors and the changes in these errors will be vital in determining the effectiveness of BCMA (Williams et al., 2021). The data will thus require statistical evaluation, hence the need for a quantitative research design.

Bloomfield and Fisher (2019) state that a correlational quantitative research design is best suited to determine the relationship between variables and is thus best suited for this study. Data collected for this project will include medical records on medication errors in the facility and the collection of raw data (medication errors, including near misses and sentinel events) related to medication administration collected throughout the project. For this project, a quantitative design will be the most suitable to help collect data and evaluate the proposed project’s effectiveness. Data for this project will be quantitative hence the design’s selection.

Document review/secondary data collection methods and surveys utilizing quantitative research designs will collect and analyze data for the project. Document reviews utilizing healthcare records help professionals avoid time and resources wasted in data collection because the data is readily available (Melnyk & Fineout-Overholt, 2022). Data from the healthcare database on medication errors is the best to use in this quasi-experimental study and results in medication administration error differences pre-an post implementation of barcode medication administration technologies. Selecting the right research design will help with objective achievement through adequate planning.

References

Bloomfield, J., & Fisher, M. J. (2019). Quantitative research design. Journal of the Australasian Rehabilitation Nurses Association, 22(2), 27-30. http://dx.doi.org/10.3316/informit.738299924514584

Melnyk, B. M., & Fineout-Overholt, E. (2022). Evidence-based practice in nursing & healthcare: A guide to best practice. Lippincott Williams & Wilkins.

Williams, R., Aldakhil, R., Blandford, A., & Jani, Y. (2021). Interdisciplinary systematic review: does alignment between system and design shape adoption and use of barcode medication administration technology? BMJ Open, 11(7), e044419. http://dx.doi.org/10.1136/bmjopen-2020-044419

NUR 590 Topic 4 DQ 2

Identify which statistical test you would use in conjunction with your selected research design from DQ 1 to evaluate the outcomes for your evidence-based project proposal and explain why you selected this test. What kind of information will this test provide about your outcomes?

Example Topic 4 DQ 2 Answer

The primary interest of the project is to determine changes in medication errors. Statistical tests in research are selected based on the objectives. Statistical. Data evaluating the relationship between variables (causal effects), data changes over time, and hypothesis testing require specific statistical tests. Tests such as ANOVA, t-test, and chi-squares help understand the variables’ changes and their relationships (Rebekah & Ravindran, 2018).

Zheng et al. (2021) note that the BCMA technology targets medication administration errors by confirming all medication administration rights at the dispensing point. The technology may affect other medication errors at dispense and prescription, but the primary interest is medication administration errors. The interest statistical test must be able to test changes in variables of time/ at different times.

The selected statistical test is the ANOVA test. The test helps evaluate the changes in variables concerning each other. They test the significance of results and thus help reject or accept the null or alternate hypothesis. The project aims to determine if barcode medication administration reduces medication administration errors. The statistical cost interest should help determine the relationship between BCMA administration and changes in medication errors. Data before and after BCMA should be compared to determine their similarities and differences.

The ANOVA test will be vital because data will be collected and analyzed at different times. The analysis will help determine the differences in medication (Rebekah & Ravindran, 2018). The ANOVA test is used when testing a hypothesis and evaluating the effectiveness of interventions. The ANOVA will help test the changes in the various variables over time. The changes in the variables, medication error rate, and their relationship to other medication errors will help evaluate the effectiveness of the interventions.

References

Rebekah, G., & Ravindran, V. (2018). Statistical analysis in nursing research. Indian Journal of Continuing Nursing Education, 19(1), 62. https://www.ijcne.org/text.asp?2018/19/1/62/286497

Zheng, W. Y., Lichtner, V., Van Dort, B. A., & Baysari, M. T. (2021). The impact of introducing automated dispensing cabinets, barcode medication administration, and closed-loop electronic medication management systems on work processes and safety of controlled medications in hospitals: A systematic review. Research in Social and Administrative Pharmacy, 17(5), 832-841. https://doi.org/10.1016/j.sapharm.2020.08.001