Modern Statistical Models Determining the Improvement of the Patient's Health Condition After Rehabilitation of Fractures and Resections

Abstract

Introduction: For a correct and unambiguous evaluation of the improvement or deterioration of the patient's health condition, it is necessary to use correct and modern statistical models, while it is not always possible to use simple descriptive statistics.

Group: The research is based on two groups of patients before and after wrist fracture rehabilitation and before and after radical resection of intramedullary osteosarcoma.

Objective: The objective of the work is to statistically describe the post-rehabilitation and post-treatment improvement or deterioration of the health status of patients with various diagnoses and thus create a methodological guideline for the use of statistics in the professional scientific activity of doctors. The described examples should be immediately analogized in professional works.

Methods: Dynamometer - Dynatest, Riester, SRN as an objective measurement method defining numerical data obtainable by the device. Altridge® and Barker® method for measuring calcium concentration in blood as an objective measurement method. Vertical gait training and patient running time 2 years after radical osteosarcoma resection as quasi-objective data acquisition methods. Determining the numerical values ​​of the patient's verbal answers with a value matrix as a subjective method of data acquisition. Other methods: surgery, chemotherapy, medical rehabilitation, occupational rehabilitation, educational rehabilitation, psycho-social rehabilitation and music therapy.

Results and Conclusion: We created a reliable model and instructions for statistically determining the improvement or deterioration of a patient's health status using simple statistics, correlation analysis, T-test and variance test.