In the previous assignment, learners identified primary quantitative research for their PICOT-D question and intervention. The purpose of this assignment is to create an annotated bibliography to inform on the relevance of the selected articles and to present the final primary quantitative research for your future DPI Project (based on the PICOT-D question).
General Requirements:
Refer to the “Literature Evaluation Table” completed in your Topic 4 assignment.
Refer to “Preparing Annotated Bibliographies” resource, located in the Student Success Center for assistance in completing this assignment. This resource provides criteria for other types of scholarly writing, so make sure you follow the APA style criteria.
A minimum of five primary quantitative research articles, published within 5 years of your anticipated graduation date, are required to complete this assignment.
Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is 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 required to submit this assignment to LopesWrite. A link to the LopesWrite Technical Support Articles is located in Class Resources if you need assistance.
Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.
Directions:
For this assignment, create an annotated bibliography (APA 7th) to inform the reader on the six primary quantitative research articles identified on your “Literature Evaluation Table.” Include the following:
If any of the five original articles submitted on your “Literature Evaluation Table” fail to meet the required criteria, or if you have been instructed to replace or revise the articles, make these changes prior to beginning this assignment. Two of the five articles must provide direct support for your proposed intervention.
For each annotation, concisely discuss your evaluation of the article’s quality, accuracy, and relevance to your PICOT-D. When discussing relevance, explain how the research directly supports the PICOT-D question or intervention.
Attach the updated “Literature Evaluation Table” to an appendix in your paper.
Resources
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Caring Science Education: Measuring Nurses’ Caring Behaviors
Read:
Ackerman, L. (2019). Caring science education: Measuring nurses’ caring behaviors. International Journal of Caring S
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DNP-801A :GCU and a Christian Worldview
Review the resource “DNP-801A: GCU and a Christian Worldview.”
DNP-801A-RS-GCUChristianWorldview.docx
Preparing Annotated Bibliographies (APA)
Read:
Grand Canyon University. (n.d.). Preparing annotated bibliographies.
This resource is located in the Writing C
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Research and Citations Resources
Read:
Purdue Online Writing Lab. (n.d.). Research and citation resources.
Statement on Integration of Faith and Work
Read:
Grand Canyon University. (n.d.). Statement on the integration of faith and work.
Tanenbaum Center for Interreligious Understanding
Explore the Tanenbaum Center for Interreligious Understanding website.
http://www.tanenbaum.org
The Role of Spirituality in the Work of Nurses
Read:
Maphosa, S. (2017). The role of spirituality in the work of nurses. Nursing Update, 42(1), 32-33.
… Read More
Personal and research bias are issues of significant concern in scholarly writing. Bradley et al., (2020) describe research bias as processes that may occur during any stage of research and distort outcomes or conclusions from what systematically differs with the truth. It refers to a researcher’s attempt to consciously or unconsciously influence or skew the systematic investigation of a research to get specific outcomes. When this happens, it deviates the research from the true course and subsequently true outcomes. Consequently, it is one of the commonest reasons for poor validity of outcomes in research since by allowing individual beliefs and interests to influence the methodology towards a specific outcome; an individual misses the integral principle of impartiality (Bradley et al., 2020). This hinders a researcher from attaining accuracy and credibility.
If a researcher uses a study with bias, it can pollute the entire spectrum of a DPI-project, particularly its trustworthiness and rigor. It can result in poor quality, and inaccurate findings, which ultimately when implemented in the practice site, will not produce the desired outcomes and can influence the wrong evidence-based decisions. Given the implications of personal and research bias, researchers must implement measures to identify, minimize, or prevent bias when conducting research. Yarborough (2021) identifies scholarly scientific writing is a scientific communication tool between peers and colleagues. Therefore, a researcher must design conduct, and report a DPI-project with honesty, transparency, and without deviations. When non-compliant with the aforementioned principles, the project becomes misleading. It can not only create a false impression but also result in false conclusion, which translates to wrong medical decisions, potential harm to the patient, and even financial loss to an organization.
One of the primary research articles selected for the PICOT-D is the quantitative study by Predmore et al., (2021) that assesses patient telehealth preferences post COVI-19 pandemic. A potential bias that could have occurred in this study could be the researcher selecting patients only diagnosed with COVID-19 requiring telehealth follow up and excluding those without a COVID-19 diagnosis in the population sample. This is an example of a selection bias, which is common in quantitative studies, and it would ultimately result in unidimensional findings that the researcher can apply to populations with similar characteristics. This would limit the generalizability of the findings to other populations, such as those requiring telehealth follow up visits but without a COVID-19 diagnosis. However, give the scope and focus of my DPI-project; it is still a viable research for my DPI-project.
References
Bradley, S. H., DeVito, N. J., Lloyd, K. E., Richards, G. C., Rombey, T., Wayant, C., & Gill, P. J. (2020). Reducing bias and improving transparency in medical research: a critical overview of the problems, progress and suggested next steps. Journal of the Royal Society of Medicine, 113(11), 433–443. https://doi.org/10.1177/0141076820956799
Predmore, Z. S., Roth, E., Breslau, J., Fischer, S. H., & Uscher-Pines, L. (2021). Assessment of Patient Preferences for Telehealth in Post–COVID-19 Pandemic Health Care. JAMA network open, 4(12), e2136405-e2136405.
Yarborough M. (2021). Moving towards less biased research. BMJ open science, 5(1), e100116. https://doi.org/10.1136/bmjos-2020-100116
