MHA FPX5107 Assessment 1 Descriptive Statistics and Data Visualization
Furthermore, the mean patient satisfaction level, as indicated by the descriptive statistics, is approximately 49.357, with a significant standard deviation of 30.912. The data exhibits wide dispersion around the mean, with a lengthy spread. The data range for patient satisfaction is remarkably high at 97, suggesting considerable diversity in patients’ opinions regarding the quality of care provided. While the healthcare institution may maintain consistent care standards, patient satisfaction varies widely, with some reporting high levels of satisfaction and others expressing significantly lower levels. Research indicates that non-care-related factors significantly influence patient satisfaction levels. Therefore, it is advisable for the healthcare organization to focus on improving patient wait times through effective patient management systems to further enhance patient satisfaction (Mishra et al., 2019).
Similarly, the data related to patient readmissions has undergone a descriptive statistical evaluation, revealing a very low readmission rate given the volume of patients who have utilized care services (Jennifer Diamond Acosta & Brooks, 2021). The analysis establishes that the mean readmission rate is 0.106, indicating a minimal number of patients returning for readmission. Moreover, the standard deviation statistics (0.048) demonstrate low data dispersion, implying the effectiveness of the readmission rate. According to research findings, low readmission rates are indicative of a healthcare institution’s delivery of high-quality care. To sustain this level of care, the institution should focus on maintaining effective care procedures, ensuring nurse competence, and optimizing the utilization of associated technologies.
Conclusion
The statistical analysis of the dataset revealed that the hospital’s readmission rates were consistently low, while patient satisfaction levels fell within the moderate range. The analysis involved the application of descriptive statistics to the data, which allowed for the assessment of both central tendency and data dispersion. The findings indicated that there is potential to enhance patient satisfaction with the quality of care provided by implementing technologies such as patient management systems and optimizing wait times.
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