MHA FPX 5107 Assessment 1 Descriptive Statistics and Data Visualization

 “MHA FPX 5107 Assessment 1: Descriptive Statistics and Data Visualization”? Do My Course can provide the help you need.

Data Interpretation and Summary

The given dataset has undergone tests to evaluate a number of important metrics, such as the variance, standard deviation, mean, mode, median, and data range. The average service utilisation at the healthcare facility over the course of 70 months, according to the data, is roughly 69.822, which is a very common level. Interestingly, there is a high standard deviation of 21.639 in the utilisation statistics, which suggests significant fluctuation.

Since there is no discernible pattern in the utilisation statistics, the dispersion of values is noticeably larger than the mean. At 96.045, the data range is likewise notably wide, highlighting the significant dispersion in the absence of a clear trend. The hospital’s patient population is still strong, according to this data(R in Action, Third Edition, 2022).

Using Descriptive Statistics and Visualizing Data

According to the descriptive statistics, the mean level of patient satisfaction is roughly 49.357, with a considerable standard deviation of 30.912. This high standard deviation indicates significant variation in patient satisfaction, suggesting that people’s experiences with care vary greatly from one another. Diverse patient viewpoints are reflected in the data’s long spread and wide dispersion around the mean.

This variation in how patients view the quality of care is further shown by the unusually high patient satisfaction data range of 97. The wide range in satisfaction levels indicates that factors like individual expectations, treatment outcomes, and interpersonal interactions with staff play a significant role in shaping overall patient experiences, even though the healthcare institution may maintain consistent care standards across services(Yu et al., 2021).

MHA FPX 5107 Assessment 1

Studies reveal that non-care-related elements, including hospital atmosphere, staff communication, and wait times, have a big impact on patient satisfaction. These elements can significantly affect the entire patient experience, even though they are not directly connected to the clinical care given. For example, even when the quality of care is excellent, lengthy wait times frequently cause annoyance and discontent. As a result, the healthcare organisation should concentrate on reducing patient wait times by putting in place better patient management systems. Patients’ whole healthcare experience can be made more efficient and fulfilling by streamlining appointment scheduling, improving patient flow, and optimising staff coordination. This could raise overall satisfaction ratings (Anderson et al., 2020).

Illustration of Data and Statistical Analysis

A descriptive statistical analysis of the patient readmission data showed a relatively low readmission rate considering the number of patients who had used care services. According to the data, there are very few patients who return for readmission, with a mean readmission rate of 0.106. Additionally, the minimal data dispersion indicated by the standard deviation statistics (0.048) suggests that the readmission rate is effective. Low readmission rates are a sign that a healthcare facility provides high-quality care, according to research findings. The organisation should concentrate on upholding efficient care practices, guaranteeing nurse competency, and making the most of related technologies in order to maintain this standard of care (Bivand, 2022).

MHA FPX 5107 Assessment 1

One crucial measure of the calibre of healthcare is the readmission rate. According to research, low readmission rates are frequently linked to high-quality care because they imply that patients are getting adequate discharge planning and effective treatment. The organisation should concentrate on maintaining effective care practices and making sure that patients receive the required therapies and follow-up care during their hospital stay in order to maintain or improve these low readmission rates. As competent and experienced nurses are essential to patient assessment, care delivery, and education, ensuring nurse competency is equally essential. The healthcare facility can further lower the risk of readmissions and improve patient outcomes by funding nursing staff training and continuing professional development (Yu et al., 2022).

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