MHA FPX 5017 Assessment 1 Nursing Home Data Analysis 

Introduction 

The administration of an original nursing home is conducting an evaluation of the current department director and the installation’s performance, gauging the last 70 months. The assessment entails a comprehensive review of operation rates, satisfaction situations, and readmission rates, exercising descriptive statistical tables and histograms. The primary objects of the nursing administration include achieving advanced operation rates, increasing satisfaction among residents, and reducing readmission rates. Also, perceptivity picked from the data analysis will inform opinions regarding the retention of the current department director. 

Data and Statistics 

To grease a thorough performance evaluation, three descriptive statistics tables have been cooked, delineating operation, satisfaction, and readmission rates over the former 70 months. These tables illuminate measures of central tendency (mean, standard, and mode) as well as dispersion (disunion, range, and standard divagation). The operation of descriptive statistics aims to optimize information dissipation while minimizing data loss (Frey, 2018). 

In addition to irregular representation, histograms have been constructed to visually depict operation, satisfaction, and readmission rates within the nursing home. These graphical representations illustrate the frequency distribution of data points on the y-axis against the separate data intervals on the x-axis. The overarching ideal of these histograms is to offer perceptivity into the frequency of operation, the spectrum of patient satisfaction, and the circumstance of patient readmissions throughout the 70-month period. 

Results 

The posterior sections delineate the findings from each descriptive statistical table and histogram pertaining to operation rates, satisfaction situations, and readmission rates. 

Utilization Rates 

Nursing homes in the United States have evolved from generally long-stay installations to establishments feeding a substantial number of short-stay cases (Applebaum, Mehdizadeh, & Berish, 2020). The current end is to drop operation rates, thereby enhancing payment rates. Analysis indicates an average length of stay per month of 68 days. In comparison, the U.S. average length of stay was extensively advanced in 2014 and 2015, at 178 and 180 days, respectively (Statista Research Department, 2016). Especially, the range of length of stay spans 96.05 days, signifying significant variability among cases. Over the 70-month period, the maturity of cases had a length of stay ranging from 61 to 80 days, with only a limited duration where stays were 40 days or lower. Reducing the length of stay holds implications for nursing home practices and quality monitoring (Applebaum et al., 2020). 

Patient Satisfaction Scores 

Enhancing the quality of resident care remains a material ideal within nursing home administration (Plaku-Alakbarova et al., 2018). Analysis reveals that, on average, 49% of cases expressed satisfaction with their care. Still, satisfaction situations were constantly below 40 for 31 months, with only 14 months recording 100 satisfaction. There exists a projected correlation between hand job satisfaction and case satisfaction, with implications for resident issues (Plaku-Alakbarova et al., 2018). Addressing hand satisfaction and reassessing programs may yield advancements in patient satisfaction rates. 

Readmission Rates 

Mitigating preventable readmissions is vital due to associated adverse events and advanced healthcare costs (Mendu et al., 2018). Analysis of readmission rates within 30 days of discharge indicates that 11 of the cases were readmitted to the nursing home. The range of readmission rates extends from 1 to 21, with a significant proportion of readmissions being over a 25-month period at 15. Recommendation The primary objects of the nursing home administration encompass achieving advanced operation rates, enhancing patient satisfaction, and reducing readmission rates.

MHA FPX 5017 Assessment 1 Nursing Home Data Analysis  

Fri, B (2018). Sage Encyclopedia of Educational Research, Measurement and Evaluation (Vols. 1-4). Thousand Oaks, CA: Sez Publication, Inc. doi: 10.4135/9781506326139 

Mendu, M. L., Michelaidis, C. I., Chu, M. C., Sahota, J., Hausar, L. F. E., Smith, A., Huther, M. A., Dobija, J., Eurkofski, M., P. C. T., and Britain, K. (2018). Implementation of a skilled review process for nursing facilities. 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 the 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/