Hariati Lestari
Hypertension is one of the major non-communicable diseases and remains a significant public health problem due to its increasing prevalence and potential to cause serious complications. Effective hypertension control requires a surveillance system capable of providing accurate, complete, and timely information. This study aimed to evaluate the attributes of the hypertension surveillance system implemented at the Kendari City Health Office. A qualitative descriptive design was employed. Informants were selected using purposive sampling and included the Head of the Disease Prevention and Control Section and the hypertension surveillance program officer. Data were collected through in-depth interviews, observations, and document reviews, and were analyzed using the Miles and Huberman interactive analysis model. The findings indicated that the attributes of simplicity, flexibility, acceptability, sensitivity, representativeness, and timeliness were implemented satisfactorily. However, the positive predictive value attribute had not been optimally achieved due to challenges in data verification, while the stability attribute was affected by occasional system downtime. Data quality was considered adequate for recorded cases, although underreporting remained due to incomplete case detection within the community. In conclusion, the hypertension surveillance system at the Kendari City Health Office has generally performed well but requires improvements in system stability, data verification, and active case finding to enhance the quality of surveillance information for evidence-based public health decision-making.