Predicting Urinary Lithiasis Cases Using Regional Bed Numbers

To validate a method for predicting the number of urinary lithiasis patients based on the number of hospital beds in a region by analysing its correlation with relevant variables.

The study was conducted in August and September 2023 in Guangxi Guilin region of China, and comprised data collected from governmental and organisational sources on the number of urinary lithiasis patients, hospital beds, gross domestic product per capita, education, and living standards in the specific area. Descriptive, correlation, and multiple regression statistical data along with geographic information system parameters were noted. Data was analysed using Prism 10.

A positive correlation was found for the number of urinary lithiasis patients with the total population and the number of hospital beds, but no correlation was found with gross domestic product per capita. The number of urinary lithiasis patients could be calculated using the formula: y = 0.44x - 38.252, where y was the number of patients, and x was the number of hospital beds.

The detection rate of district-specific diseases as positively linked to the number of hospital beds and the area population. The method provided a benchmark for detecting common diseases in other regions and offered practical early warning option for prevention and early intervention.