Urine Biochemistry Results at Sally Mugabe Central Hospital Public Health Laboratory From 2022 to 2024.

Abstract

Urine dipstick tests are essential diagnostic tools widely used in clinical settings to assess various health conditions. This study focuses on the analysis of urine dipstick results at Sally Mugabe Hospital public health laboratory from 2022 to 2024, aiming to evaluate the prevalence of different urinary abnormalities and their clinical implications. The research was based on a retrospective cross-sectional methodology to investigate the correlation of patient clinical conditions, sociodemographic traits and urine biochemistry results. Patients with age groups ranging from 15 and above were the focus of the study which particularly excluded those with inadequate urine sample data as well as those who had surgery during the study period using 200 as the sample size. The results showed that abnormal results were highly prevalent, especially when it came to blood (38%), leukocyte esterase (55%) and nitrites (72%) in urine samples. These findings imply that the research population has a notable prevalence of urinary tract infection. Given that standard markers like bilirubin (0%) and urobilinogen (0%) were not found abnormal in this population the findings suggest that a tailored approach to urine screening may be helpful. The data was analysed using a statistical software Statistical Package for the Social Services to summarize the socio demographic characteristics and urine biochemistry results. In order to improve diagnostic effectiveness and resource allocation in public health settings, the study emphasizes the potential for creating a low-cost dipstick test that focuses on clinically significant parameters. By narrowing the focus to most relevant indicators an innovation could enhance early detection and treatment strategies ultimately benefitting patient outcomes. The results contribute valuable insights into the epidemiology of urinary issues within the patient population; there is a necessity to improve diagnostic tools that address the challenges faced by healthcare providers in resource limited settings