Identifying Themes and Patterns: Qualitative Data Analysis in Nursing  

Identifying Themes and Patterns: Qualitative Data Analysis in Nursing

            Qualitative data analysis is normally time- consuming and complicated. Irrespective of whether the research design used involves a particular qualitative methodology including phenomenology or is descriptive, there is a need for the researcher to consider all data that result from data collection, mostly, qualitative data originates from interviews and consequently, the results are examined to identify patterns and themes (Saldana, 2009).

            After data collection, the researcher makes a decision regarding data analysis. The interviewees’ talk regarding their experiences can be analyzed through a number of ways. The thematic process of data analysis begins with preparing the data to be analyzed then reading and reading the text. Items of interest that are identified are sorted into proto-themes, that are examined later and initial definitions attempted. The text is later re-examined for relevant data incidents for every proto-theme. The final form of every theme is constructed and the themes reported (Guest, 2012).

            In the article ‘Improving Diabetes Management with a Patient Portal: Qualitative Study of a Diabetes Self-Management Portal,’ although patients were not familiar with the benefits offered by patient portal in diabetes management, they were satisfied with the results obtained and became more aware about their health status. Long-term adherence is normally hard to foster and had been identified as a barrier towards the use of portal. Maintaining portal adherence is hard and their use reduces over time, which is associated with challenges patients express in portal navigation (Urowitz et al., 2012). There has been improper information health systems’ design that is necessary for minimizing attrition and increasing patient adherence. While there is no identification of patient attributes which could be linked to better self-management portals’ engagement, coming up with a culturally appropriate and patient-centered portal that considered carious numeracy and health literacy levels would involve larger number of patients and would lead to larger overall usage of portals (Urowitz et al., 2012).


 

References

Guest, G. (2012). Applied thematic analysis. Thousand Oaks, California: Sage Publications.

Saldana, J. (2009). The Coding Manual for Qualitative Researchers. Thousand Oaks, California:   Sage Publications.

Urowitz, S., Wiljer, D.m Dupak, K., Kuehner, Z., Leonard, K., Lovrics, E., Picton, P., Seto, E.,    & Cafazzo, J. (2012).Improving Diabetes Management with a Patient Portal: Qualitative Study of a Diabetes Self-Management Portal. Journal of Medicine Internet Research,          14(6):158

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