Qualitative Nursing Research on Moral Distress Within Cultural Complexity

Research Methods in Nursing
Student's Name
Institution/Affiliation
Course
Professor
Date.
Research Methods in Nursing
The qualitative research paper I opted to review was completed by Bressler et al., 2017. The article focused on understanding moral distress within cultural complexities. This study aimed to investigate nurses' experiences working in a chronic ventilator-dependent ward with a high proportion of elderly Orthodox Jewish patients nearing the end of their lives. Little is known about how cultural variations affect nurses' and families' expectations for end-of-life patient care. Focus groups were used in a qualitative study of 27 nurses. Following early interviews, the initial topic was expanded to include investigating nurses' moral suffering. Themes were discovered through content analysis in three categories, one of which is featured in this article (Bressler et al., 2017). This essay will discuss why qualitative research was the best strategy for this study and compare it to another recent study.
Qualitative research collects, interprets, and analyzes non-numerical data. Qualitative research can assist us better in understanding how individuals perceive and interpret their social settings. Qualitative data include non-numerical data such as video, text, audio recordings, or photographs. In-depth interviews or diary entries can be used to collect information, which can then be analyzed using theme analysis or grounded theory (Squires & Dorsen, 2018). Qualitative researchers analyze phenomena in their natural and original settings to make sense of or interpret events in terms of the meanings individuals attach to them.
The goal of qualitative study is to understand the social realities of cultures, groups, and individuals as closely as possible to how participants view or experience them. Organizations and people are therefore studied in their natural setting. A qualitative research approach is exploratory and seeks to help understand 'why' or even 'how' a particular behavior or phenomenon behaves in a given setting. It may be used to generate evidence-based theories and hypotheses. Limitless creativity and interpretation are possible with qualitative research. The researcher does not just depart the field with mountains of empirical data on which to base their findings (Squires & Dorsen, 2018). Qualitative interpretations are generated, and several methodologies, such as content analysis, discourse analysis, theme analysis, and grounded theory, can be used. For example, thematic analysis is a qualitative tool for uncovering latent or explicit themes within data. After the data has been coded, themes typically emerge.
Before conducting their study, Bressler, Hanna, and Smith obtained clearance from the institutional review board. Nurses' demographic data included tenure on the unit, age, certification status, and the highest level of nursing education. Even though no religious affiliation was detected, the following question was posed: "Do you possess any spiritual or religious ideas that influence or challenge your nursing practice?" Finally, the authors of the article read and reread all of the transcripts severally and extensively discussed them. Thematic and category agreement was discovered using content analysis. The key discovery was a disparity in views known as depth-of-field dissimilarity, in which the focus and depth of perspective differ depending on who is looking.
According to the findings of this study, depth-of-field dissimilarity might be utilized to design educational techniques, clinical therapies, and research to address moral distress and cultural complexity. Concerns about medical futility have developed as technology has increased the availability of life-prolonging drugs. According to the study, nurses endure moral anguish when they see ineffective treatment. Nurses who provide end-of-life care must be supported since seeming futility can cause moral, ethical, and emotional difficulties (Bressler et al., 2017).
Quantitative research is another option for researchers. Data assist us in translating quantitative data into relevant synthesized information to enhance decision-making. Data may be summarized to describe correlations, trends, and linkages. Statistical data can be descriptive or inferential. Inferential statistics are used to identify statistically significant discrepancies between sets of data. In contrast, descriptive statistics are employed to summarize our data (such as intervention and control groups in a randomized control study).
Quantitative...