Nursing research

Does the research design answer the research question? Explain your rationale.

In article number one (Orlowski et al., 2018 p. 45) uses a qualitative study to assess the value and usability of a novel machine learning technology to predict and explain the risk of 30-day hospital readmission in patients with heart failure. The authors chose semi-structured interviews from 27 participants and three targeted observations. Qualitative studies focus on the how and why research questions, participants in these type studies contribute their own personal experience and values to the study according to Dang & Dearholt, 2018.

In article number two Sousa & Santos (2019) use a framework of complex interventions proposed by the Medical Research Council which involves 4 phases, this article is phase one of four, to answer the research question. Phase one of the study utilized responses from face to face interviews of participants to develop themes, the themes in turn will be used in the following phases of the study to ensure the newly created intervention will not take into account researcher’s opinion, but rather participants needs.

Was the study sample participant’s representative? Why or why not?

In article number one data was collected a total of 27 nurses, hospital administration, non-clinical support staff, nurses and physicians all key stakeholders concerning heart failure readmission. Participants were representative as, the findings in the article found no new knowledge. I, however, do not feel that the participant’s characteristics were described well. Years or experience as a clinician, and ease of use in computer/technology may have also played a role in data collected.

In article number two a sample size of five patients, 2 doctors(cardiologist), and 3 nurses (experienced) were representative due to no new knowledge was found at conclusion of the interviews from the five patients interviewed.

Compare and contrast the study limitations in these two studies.

In both article one and article two I feel that generalizability and the small sample size would be a limitation. Heart failure affects millions of patients annually in industrialized countries and according to Sousa & Santos nearly 50% are readmitted within 6 months. In article number two an increase in sample size of patients and healthcare professionals would increase the reliability of the study, with millions of patients being readmitted for heart failure a sample of five participants is reliable.

Based on this evidence summary, would you consider either or both of these qualitative research studies as support for your selected practice problem? Explain your rationale.

I consider both articles as evidence for my selected practice problem. In my project I plan to show that nurses have resistance to change especially when faced with a lack of resources. My project will show how interventions must work efficient and quickly to be usable as stated in article number one.

From article two I will use the data from “results” that reinforces that healthcare education is very important in the management of heart failure and readmission.

Refernces

Dang, D., & Dearholt, S. (2018). Johns Hopkins nursing evidence-based practice model and guidelines  (3rd ed.). Indianapolis, IN: Sigma Theta Tau International.

Orlowski, S., Bane, S., Hirschey, J., Kakarmath, S., Felsted, J., Brown, J., … Jethwani, K. (2018). Value and Acceptability of a Novel Machine Learning Technology for Heart Failure Readmission Reduction: Qualitative Analysis of Clinical Roles and Workflows. Journal of Medical Internet Research, 20(9), 45. https://doi-org.chamberlainuniversity.idm.oclc.org/10.2196/11895

Sousa, J. P., & Santos, M. (2019). Symptom Management and Hospital Readmission in Heart Failure Patients: A Qualitative Study From Portugal. Critical Care Nursing Quarterly, 42(1), 81–88. https://doi-org.chamberlainuniversity.idm.oclc.org/10.1097/CNQ.0000000000000241

Article number one