MHA FPX 5017 Assessment 1 Nursing Home Data Analysis

Student Name

Capella University

MHA-FPX 5017 Data Analysis for Health Care Decisions

Prof. Name

Date

Introduction

The administration of a local nursing home is undergoing an evaluation of the current department manager and the facility’s performance over the past 70 months. The assessment encompasses a comprehensive review of utilization rates, satisfaction levels, and readmission rates using descriptive statistical tables and histograms. The primary goals of the nursing administration are to achieve higher utilization rates, increase resident satisfaction, and decrease readmission rates. Additionally, insights derived from the data analysis will guide decisions regarding the retention of the current department manager.

Data and Statistics

To facilitate a comprehensive performance evaluation, three descriptive statistics tables have been developed, outlining utilization, satisfaction, and readmission rates spanning the past 70 months. These tables present measures of central tendency (mean, median, and mode) and dispersion (variance, range, and standard deviation). Utilizing descriptive statistics aims to optimize information dissemination while minimizing data loss (Frey, 2018).

In addition to tabular representation, histograms have been created to visually represent utilization, satisfaction, and readmission rates within the nursing home. These graphical representations illustrate the frequency distribution of data points on the y-axis against the respective data intervals on the x-axis. The overarching objective of these histograms is to provide insights into the frequency of utilization, the spectrum of patient satisfaction, and the occurrence of patient readmissions throughout the 70-month period.

Results

The subsequent sections outline the findings from each descriptive statistical table and histogram concerning utilization rates, satisfaction levels, and readmission rates.

Utilization Rates

Nursing homes in the United States have transitioned from predominantly long-stay facilities to accommodating a significant number of short-stay patients (Applebaum, Mehdizadeh, & Berish, 2020). The current focus is on decreasing utilization rates to enhance reimbursement rates. Analysis reveals an average length of stay per month of 68 days. In comparison, the U.S. average length of stay was notably higher in 2014 and 2015, at 178 and 180 days, respectively (Statista Research Department, 2016). The range of length of stay spans 96.05 days, indicating significant variability among patients. Over the 70-month period, most patients stayed for 61 to 80 days, with only a limited duration where stays were 40 days or less. Reducing the length of stay has implications for nursing home practices and quality monitoring (Applebaum et al., 2020).

Patient Satisfaction Scores

Improving the quality of resident care remains a crucial objective within nursing home administration (Plaku-Alakbarova et al., 2018). Analysis shows that, on average, 49% of patients expressed satisfaction with their care. However, satisfaction levels remained consistently below 40% for 31 months, with only 14 months recording 100% satisfaction. There is a projected correlation between employee job satisfaction and patient satisfaction, with implications for resident outcomes (Plaku-Alakbarova et al., 2018). Addressing employee satisfaction and reassessing policies may lead to improvements in patient satisfaction rates.

Readmission Rates

Mitigating preventable readmissions is essential due to associated adverse events and higher healthcare costs (Mendu et al., 2018). Analysis of readmission rates within 30 days of discharge indicates that 11% of patients were readmitted to the nursing home. The range of readmission rates extends from 1% to 21%, with a significant proportion of readmissions occurring over a 25-month period at 15%.

MHA FPX 5017 Assessment 1 Nursing Home Data Analysis

Recommendation

The primary objectives of the nursing home administration include achieving higher utilization rates, enhancing patient satisfaction, and reducing readmission rates.

References

Applebaum, R., Mehdizadeh, S., & Berish, D. (2020). It Is Not Your Parents’ Long-Term Services System: Nursing Homes in a Changing World. Journal of Applied Gerontology, 39(8), 898–901. https://doi.org/10.1177/0733464818818050

Frey, B. (2018). The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1-4). Thousand Oaks, CA: SAGE Publications, Inc. doi: 10.4135/9781506326139

Mendu, M. L., Michaelidis, C. I., Chu, M. C., Sahota, J., Hauser, L., Fay, E., Smith, A., Huether, M. A., Dobija, J., Yurkofsky, M., Pu, C. T., & Britton, K. (2018). Implementation of a skilled nursing facility readmission review process. BMJ open quality, 7(3), e000245. https://doi.org/10.1136/bmjoq-2017-000245

Plaku-Alakbarova, B., Punnett, L., Gore, R. J., & Procare Research Team (2018). Nursing Home Employee and Resident Satisfaction and Resident Care Outcomes. Safety and health at work, 9(4), 408–415. https://doi.org/10.1016/j.shaw.2017.12.002

MHA FPX 5017 Assessment 1 Nursing Home Data Analysis

Statista Research Department (2016). Nursing home average length of stay in United States in 2014 and 2015, by ownership. Retrieved from https://www.statista.com/statistics/323219/average-length-of-stay-in-us-nursing-homes-by-ownership/