Patterns of Morbidity in Ambatoboeny District, Northern Madagascar: A 12-Month Study

<b>Background:</b> Ambatoboeny District in northern Madagascar faces significant health challenges due to widespread poverty, poor access to healthcare, and limited diagnostic capabilities. Despite high disease burden, data on morbidity patterns in the region are scarce. This study aims to identify the most prevalent diseases and most affected demographic groups, thus providing valuable insight into the region's health profile. <b>Methods</b>: A retrospective analysis was conducted on medical records from 3678 patients who were admitted at Clinique Médicale BEYZYM, a secondary-level referral facility in Manerinerina, Boeny Region between January and December 2024. Diagnoses were retrieved from physician registration ledgers, hospitalization records, monthly laboratory reports, monthly general hospital activity reports and monthly reports <i>from Centre de Traitement et de Diagnostic de la Tuberculose</i>, which were cross-referenced and verified by trained clinical staff. Records were included if they contained identifiable demographic data and at least one clinical diagnosis. Diagnoses were coded using ICD-11 and were classified into 15 major categories. <b>Results</b>: The median patient age was 19.5 years (IQR: 7-42), with females accounting for 54% of the cohort. Most patients (87.2%) resided in Ambatoboeny. The most common reasons for admission were infectious and parasitic diseases (35.75%, 95% CI: 34.20-37.30), respiratory diseases (22.73%, 95% CI: 21.38-24.08), and diseases of the genitourinary system (13.95%, 95% CI: 12.83-15.07), collectively accounting for 72.43% of all recorded cases. Statistically significant differences in morbidity patterns were observed across age and sex groups. <b>Conclusions</b>: The findings underscore the multifaceted burden of disease in the Ambatoboeny District, where both infectious and chronic conditions coexist in a resource-limited setting. Delayed healthcare-seeking behavior, cultural beliefs, and diagnostic limitations further complicate care delivery. This study provides foundational data to inform targeted health policies, humanitarian medical missions, and diagnostic capacity-building tailored to local needs.