Data Management and Analysis
Analysis the report, it is clear seen that the Data management and analysis methods used is a quantitative comparative descriptive design. Ford, B. (2010) took very careful steps to maintain the rigor and control of their data collection. The author used a statistic software design. She developed her idea into two representative graphs in which she compared call light usage before initiation of hourly rounding, and call light usage after the initiation of hourly rounding. With is in compliance with the objective described by the hypotheses developed in this study. Hourly rounding improves patient satisfactory score. Narrative descriptive also uses to confirm their finding. For a pilot study, one thinks that the sample size was adequate. A sample made of 51 patients, 29 females, 22 males a long with a randomly selected control group is used for that study. Although the researcher did not explain how the data were entered into the computer one assume that it was entered to promote accuracy and to reduce the possibility and effect of bias.
In summary this pilot study shows that Ford, B. (2010) provide evidence to suggest that hourly rounding increase patient outcome with is benefited to nursing practice. The author took time to focus on the significant problem, she explains how the data was collected, and the diagram shows the percentage of error and the frequency of the variable. The study’s strengths and weakness is clearly defined. The author stated that the positive results of rounding exceed expectations in most facilities where the strategies have been used. Consistent hourly rounding is a key for improving safety and quality of care, it result in fewer call light interruptions, allowing nurses to organize their time better and reduce stress. Additionally, patients are less anxious. Hourly rounding contributes in several key areas