NUR 550 Evidence-Based Practice Project Proposal Research Design Comparison Assignment
The purpose of this assignment is to conduct a comparison on different research designs to better understand their designs and application. Understanding the different types of research design is important so that nurses can effectively apply evidence-based research into practice to address issues and offer better patient care.
You will utilize your approved nursing practice problem to complete the evidence-based practice project proposal assignments for this course and NUR-590, during which you will synthesize all of the sections into a final written paper detailing your evidence-based practice project proposal.
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Review feedback from your instructor on your “Evidence-Based Practice Project Proposal: Identification of Nursing Practice Problem,” submitted in Topic 1. If your original proposed nursing problem was outside the scope of nursing practice or not conducive to an evidence-based practice project proposal, work with your instructor to identify a new topic prior to beginning this assignment. If your proposed topic requires revision, complete this prior to beginning this assignment.
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Conduct a literature search on your approved nursing practice problem. Find two translational research articles, one quantitative article, and one qualitative article. Using the “Translational Research Graphic Organizer,” present your proposed topic and, in the tables provided, compare one translational study to the quantitative study, and one translational study to the qualitative study.
Refer to the “Evidence-Based Practice Project Proposal – Assignment Overview” document for an overview of the evidence-based practice project proposal assignments with regards to NUR 550 Evidence-Based Practice Project Proposal Research Design Comparison Assignment.
You are required to cite four peer-reviewed sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and nursing content.
While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are not required to submit this assignment to LopesWrite.
Translational Research Graphic Organizer
State the nursing practice problem for your evidence-based practice project. If your nursing problem has not yet been approved, make any required changes or revisions to your nursing practice problem prior to starting the assignment. Using your proposed topic, conduct a literature search and complete the tables below.
Nursing Practice Problem: The nursing practice problem is obesity among school-age children.
Comparison 1: Translational Research vs. Qualitative Research
Criteria Peer-Reviewed Translational Article and Permalink/Working Link:
Joseph, E. D., Kracht, C. L., St. Romain, J., Allen, A. T., Barbaree, C., Martin, C. K., & Staiano, A. E. (2019). Young children’s screen time and physical activity: Perspectives of parents and early care and education center providers. Global Pediatric Health, 6, 2333794X19865856. https://doi.org/10.1177%2F2333794X19865856
Translational Research Type:
Translation to practice (T3) Peer-Reviewed Traditional Article and Permalink/Working Link:
Stiglic, N., & Viner, R. M. (2019). Effects of screentime on the health and well-being of children and adolescents: A systematic review of reviews. BMJ Open, 9(1), e023191. http://dx.doi.org/10.1136/bmjopen-2018-023191
Methodology:
In one approach, four focus groups were convened, consisting of three parents and one Early Childhood Education (ECE) provider. A thorough thematic analysis was conducted to identify prominent themes and subthemes related to children’s screen time and physical activity. This method engaged the perspectives of a total of twenty-eight caregivers, comprising 21 parents and 7 ECE providers.
Conversely, in a different research endeavor, a systematic review was undertaken, delving into past studies to gauge the evidence pertaining to the effects of screen time on the health and well-being of children and adolescents. This comprehensive literature review unearthed insights from 13 separate reviews. The works of Joseph et al. (2019) and Stiglic and Viner (2019) represent two distinct research undertakings within this category. Joseph et al. (2019) opted for focus groups, while Stiglic and Viner (2019) opted for a literature review as their preferred method.
Goals:
The primary objective of the first research approach was to solicit input from caregivers, encompassing parents and ECE providers. The aim was to comprehensively identify the barriers and facilitators surrounding children’s physical activity and screen time, ultimately fostering children’s overall health and well-being.
Conversely, the second research endeavor systematically explored the spectrum of harms and benefits associated with screen time concerning the health and well-being of children and young people. Joseph et al. (2019) explored how caregivers’ input concerning physical activity and screen time could be harnessed to promote children’s health, while Stiglic and Viner (2019) delved into the conclusions drawn by past studies concerning the advantages and disadvantages of screen time on children’s health and well-being.
Data Collection:
The first approach gathered data from focus groups involving twenty-eight caregivers, with these sessions taking place between January and March 2017.
In contrast, the second research approach, represented by Stiglic and Viner (2019), embarked on a different data collection journey. They searched electronic databases, including Medline, Embase, PsycINFO, and CINAHL, in February 2018, identifying and summarizing data from peer-reviewed articles.
This juxtaposition highlights the diversity in research methodologies and data collection techniques employed by the two research groups.
Comparison 2: Translational Research vs. Quantitative Research:
Additionally, let’s compare two fundamental research paradigms: translational research and quantitative research. These distinct approaches serve as cornerstones for generating valuable insights in the healthcare and research domains.
Criteria Peer-Reviewed Translational Article and Permalink/Working Link:
Schwarzfischer, P., Gruszfeld, D., Socha, P., Luque, V., Closa-Monasterolo, R., Rousseaux, D., … & Grote, V. (2020). Effects of screen time and playing outside on anthropometric measures in preschool aged children. PloS One, 15(3), e0229708. https://doi.org/10.1371/journal.pone.0229708
Translational Research Type: research focused on outcomes in populations (T4) Peer-Reviewed
Traditional Article and Permalink/Working Link:
Goncalves, W. S. F., Byrne, R., Viana, M. T., & Trost, S. G. (2019). Parental influences on screen time and weight status among preschool children from Brazil: a cross-sectional study. International Journal of Behavioral Nutrition and Physical Activity, 16(1), 1-8. doi: 10.1186/s12966-019-0788-3
Traditional Quantitative Research Type: A cross-sectional study.
[experimental research] Observations (Similarities/Differences)
Methodology:
In the research conducted by Schwarzfischer et al. (2020), children from the European Childhood Obesity Project were annually surveyed through questionnaires, beginning at the age of 3 and continuing until they reached 6 years of age. The focus of this investigation revolved around two crucial aspects: outdoor play (PO) and screen time. Sociodemographic data, screen time on weekdays and weekends, and parental self-efficacy in enforcing screen time limits were measured through a comprehensive survey. Both Schwarzfischer et al. (2020) and Goncalves et al. (2019) evaluated various outcomes. However, it’s worth noting that while Schwarzfischer et al. (2020) relied on questionnaires, Goncalves et al. (2019) conducted a survey as part of their research.
Goals:
Schwarzfischer et al. (2020) aimed to delve into the association between the average time children spent playing outdoors and their screen time, scrutinizing how these factors related to anthropometric measurements such as body weight, waist circumference, and height at ages 3 and 6. On the other hand, Goncalves et al. (2019) directed their focus towards exploring the intricate connections between parental screen time, their self-efficacy in regulating their child’s screen time, the child’s screen time, and the child’s Body Mass Index (BMI) in preschool-aged children. In both studies, the link between screen time and metrics related to obesity, such as weight gain, was under scrutiny. Nevertheless, Schwarzfischer et al. (2020) concentrated on a range of anthropometric measures, while Goncalves et al. (2019) zoomed in on the child’s BMI.
Data Collection:
The research conducted by Schwarzfischer et al. (2020) involved the measurement of body weight, waist circumference, and height at both 3 and 6 years of age. These measurements were crucial for calculating Body-Mass-Index z-Scores (zBMI) and the waist-to-height ratio (WTH) for a cohort of 526 children from the European Childhood Obesity Project.
In order to assess the impact of outdoor play and screen time on anthropometric measures, Schwarzfischer et al. (2020) utilized a blend of linear, logistic, and quantile regression methods. Their toolkit also included height and weight measurements, which were pivotal in deriving BMI and BMI percentiles.
Goncalves et al. (2019) employed a slightly different approach. They not only measured height and weight but also conducted an observed variable path analysis to unravel the intricate relationships between parental and child variables, such as screen time and BMI. While Schwarzfischer et al. (2020) quantified zBMI and waist-to-height ratio, Goncalves et al. (2019) predominantly concentrated on height and weight measurements, which were instrumental in determining BMI.
This comprehensive comparison underlines the varying methodologies employed in both studies, which seek to shed light on the complex interplay between outdoor play, screen time, and children’s health metrics.
NUR 550 Evidence-Based Practice Project Proposal Research Design Comparison Assignment References
Goncalves, W. S. F., Byrne, R., Viana, M. T., & Trost, S. G. (2019). Parental influences on screen time and weight status among preschool children from Brazil: a cross-sectional study. International Journal of Behavioral Nutrition and Physical Activity, 16(1), 1-8. doi: 10.1186/s12966-019-0788-3
Joseph, E. D., Kracht, C. L., St. Romain, J., Allen, A. T., Barbaree, C., Martin, C. K., & Staiano, A. E. (2019). Young children’s screen time and physical activity: Perspectives of parents and early care and education center providers. Global Pediatric Health, 6, 2333794X19865856. https://doi.org/10.1177%2F2333794X19865856
Schwarzfischer, P., Gruszfeld, D., Socha, P., Luque, V., Closa-Monasterolo, R., Rousseaux, D., … & Grote, V. (2020). Effects of screen time and playing outside on anthropometric measures in preschool aged children. PloS One, 15(3), e0229708. https://doi.org/10.1371/journal.pone.0229708
Stiglic, N., & Viner, R. M. (2019). Effects of screentime on the health and well-being of children and adolescents: A systematic review of reviews. BMJ Open, 9(1), e023191. http://dx.doi.org/10.1136/bmjopen-2018-023191
Translational Research Type: Peer-Reviewed Traditional Article and Permalink/Working Link:
Traditional Quantitative Research Type:
Observations (Similarities/Differences):
Methodology:
Goals:
Data Collection:
References:
Topic 2 DQ 1
Exploring the Value of Biostatistics and Epidemiology in Population Health Research
Population health plays a pivotal role in various sectors, including policy, healthcare, communities, and research settings. It diverges from the conventional approach of focusing on the health of individual persons, instead concentrating on health outcomes within a group of individuals. For evidence-based practice problems, often defined using the PICOT framework, the “population” element emphasizes examining a group of individuals who share common characteristics. This approach is instrumental in spotlighting significant health concerns and directing resources toward addressing the root causes of poor health within that population.
Biostatistics assumes a vital role in the domain of population health. Its purpose is to identify populations of interest and conduct both quantitative and qualitative research to detect trends and risk factors impacting population health. Biostatisticians use statistical methods to derive meaningful insights into population health trends, enabling better decision-making and resource allocation.
In the context of my evidence-based practice proposal, which focuses on addressing the needs of registered nurses working in a pediatric hematology/oncology unit, both biostatistics and epidemiology are highly relevant. These fields allow an examination of cultural norms surrounding grief and its potential effects on individuals’ health. By analyzing these factors, solutions can be developed to improve the well-being of nurses and healthcare workers experiencing grief in this specific context.
One notable figure in this field is Toni Miles, a professor of epidemiology and biostatistics at the University of Georgia. In her work, Miles emphasizes the importance of bereavement training in healthcare, particularly when dealing with issues related to aging and end-of-life conversations. The intersection between aging and population health is a key area of focus for epidemiology and biostatistics.
Re: Topic 2 DQ 1
Biostatisticians play a crucial role in studying diseases, behaviors, and health risks within specific local environments. They utilize both qualitative and quantitative research methods to explore public health risks associated with these environments and provide insights on how to address and eliminate these issues in the local area. Their research spans a wide range of public health concerns, encompassing environmental factors, cancer research, statistical genetics, and human growth and development.
Epidemiology, on the other hand, concentrates on understanding how entire populations are affected by health-related issues. It does this by examining the distribution of diseases and trends within a given area. Epidemiologists delve into the frequencies of disease processes and investigate the overall patterns in a region. Furthermore, epidemiology scrutinizes the cause-and-effect relationships, risk factors, and underlying causes contributing to health outcomes in populations.
Epidemiologists tackle diverse areas of concern, including infectious diseases, environmental factors, noninfectious diseases, injuries, natural disasters, and acts of terror. Their expertise is invaluable in assessing and addressing various public health challenges.
In my own project proposal, I delved into the epidemiology of Syphilis and its alarming spread in Alaska. The epidemiological examination of this sexually transmitted disease revealed a shift in its spread pattern from 2019 to 2020, with an even more rapid dissemination. This change was partly attributed to the nursing focus being diverted toward the care of COVID-19 patients.
This comparison underscores the distinct yet complementary roles that biostatistics and epidemiology play in understanding, addressing, and mitigating public health issues. Both fields contribute to the broader goal of improving population health outcomes and overall well-being.
The University of Nevada, Reno. (2020, November 17). Epidemiology vs. Biostatistics: Understanding Their Roles in Public Health. University of Nevada, Reno. https://onlinedegrees.unr.edu/blog/epidemiology-vs-biostatistics/
Berman, A. (2020, July 31). Alaska’s syphilis cases more than doubled in a year, and COVID-19 has complicated outbreak response. Anchorage Daily News. https://www.adn.com/alaska-news/2020/07/30/alaskas-syphilis-cases-have-doubled-in-the-past-year-and-covid-19-has-complicated-outbreak-response/#:%7E:text=The%20state’s%20syphilis%20outbreak%20was,in%20heterosexual%20men%20and%20women.
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