Analysis of Secondary Data Utilization for Hypertension Prevention in Maubara Community Health Centre, Liquiça Municipality
DOI:
https://doi.org/10.55927/ijsmr.v3i4.117Keywords:
Data Utilization, Prevention, HypertensionAbstract
Hypertension is a circulatory disorder causing high blood pressure, with 74,5 billion cases in America. The main cause of death worldwide is 22-36%. In 2023, there were 4.5 million cases in Timor-Leste, with 2,490 cases in 2021-2024. This research aims to analyze secondary data utilization for the prevention of hypertension disease. This study uses a quantitative method to investigate a population using a representative sample of 26 respondents. Data analysis is a quantitative descriptive method, conducted at the beginning of the research period. Interview responses are analyzed using SPSS version 22.0, ensuring credible data and a systematic and rational approach to finding the right answer. The results show that among 26 respondents interviewed for data utilization systems related to hypertension prevention, poor data utilization was 42.3%, good data utilization was 57.7%, good prevention was 46.2%, and bad prevention was 53.8%. The hypothesis test showed a chi-square P value of 0.014, indicating a significant relationship between secondary data utilization and hypertension disease prevention, indicating a positive relationship.The study highlights the link between data utilization and hypertension prevention, suggesting that accurate, complete, and timely data can improve disease prevention. Enhancing health personnel training and investing in data infrastructure can enhance health outcomes and public health strategies
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