Epidemiologia da Febre de Chikungunya em pessoas idosas no Rio Grande do Norte: da morbimortalidade à avaliação dos sistemas de informação

Chikungunya fever is a disease that can present clinical signs for a period of up to three years after its initial presentation. It was first reported in the 1950s in the region of Tanzania and the first case was reported in Brazil in 2010. Since then, Brazil has been living in an endemic situation, having recorded more than 800,000 cases of the disease. However, the Health Information Systems involved in the notifications of the disease, deaths and hospitalizations need to evaluate the quality of the recorded data. Thus, the objective of this study is to evaluate Chikungunya Fever in elderly people in Rio Grande do Norte regarding the epidemiological profile and quality of the Epidemiological Surveillance Systems, in the period between 2016 and 2020. This study is characterized by being a cross-sectional analytical epidemiological and evaluation of the quality of health information systems, being analyzed the attributes of completeness, reliability, consistency, non-duplication and opportunity. The study was carried out in Rio Grande do Norte, with elderly people, aged 60 years or older, affected by the disease and residing in the state, in the period between 2016 and 2020. The research data were provided by the Subcoordination of Epidemiological Surveillance of the State Department of Public Health, taken from the Information Systems on Diseases, on Mortality and on Hospital Admissions. There were 4,994 cases of elderly people affected by Chikungunya Fever in the State of Rio Grande do Norte, between 2016 and 2020, with predominance of females (63.3%), with a mean age of 70.5 years (±8.2 years), black and mixed race (62.1%), with 49.4% having not completed elementary school. In the period, 47 deaths (0.94%) were registered in the Mortality Information System, with Chikungunya fever as the cause of death. In the evaluation of the quality of the data, it was observed that the general average of the completeness of all the evaluated municipalities was bad (67.34%). The reliability of the data was compromised by ...