Analysis of Data Use and Data Quality for Acute Respiratory Infections (ARIs) Disease Prevention at the Uatolari Community Health Center, Uatolari Administrative Post, Viqueque Municipality, 2024

<p>Introduction: This study rigorously investigates the use and quality of data for preventing Acute Respiratory Infections (ARIs) at the Uatolari Community Health Center in Viqueque Municipality, Timor-Leste. ARIs are a significant global health challenge that disproportionately affects vulnerable populations, particularly children and the elderly.  Objective: The primary aim of this analysis is to evaluate the utilization and quality of data for preventing ARIs at the Uatolari Community Health Center in Viqueque Municipality. This evaluation seeks to uncover critical gaps in data use and quality that impede effective disease prevention efforts.  Method: The research utilizes a quantitative cross-sectional methodology, collecting detailed data from 54 health personnel through well-structured questionnaires, interviews, and direct observations.  Results and Discussion: The findings indicate that 56% of respondents perceive data usage as ineffective, highlighting a substantial gap in the application of data for disease prevention. Statistical analysis reveals a significant relationship between effective data utilization and improved prevention strategies, with a p-value of 0.033. Additionally, 65% of respondents rate the quality of health data as inadequate, reflecting global trends where approximately 60% of countries lack sufficient health monitoring systems. Our analysis confirms that data quality significantly influences ARI prevention efforts, evidenced by a p-value of 0.016. The study emphasizes the urgent need for enhanced training for health personnel in data management and effective communication strategies to engage the community in health promotion actively. It is essential to continuously assess health promotion activities to adapt strategies effectively and reduce ARI incidence drastically. The results underscore the critical need for a robust health data infrastructure to inform policies and drive improvements in health outcomes.  Conclusion: A considerable portion of respondents acknowledge challenges in data usage and quality, underscoring the necessity for immediate action. This study emphasizes the urgent need for enhanced training programs focused on data analysis and quality management. Addressing these critical issues is vital for developing effective disease prevention strategies within community health settings.</p>