OBJECTIVE: To measure the delays in tuberculosis (TB) suspicion and diagnosis and to identify factors related. METHODS: We defined the delay in TB suspicion as the time between the perception of the symptoms by the patient and the search for health-care service and the diagnosis, as the time between the first visit to the health-care service and the diagnosis. We interviewed 100 patients treated at the health services in São José do Rio Preto that were diagnosed and reported/notified in 2008 and 2009, and the delays were quantified. We obtained the possible explanatory variables from interviews and secondary information available in the surveillance system. The addresses of TB patients and health-care services were geocoded. Variables were assessed by multiple linear regression analysis and, when spatial dependency was detected, by spatial regression. RESULTS: The median values for the delays in TB suspicion and diagnosis were both 15 days. The first was modeled by linear regression and a positive relationship was found with the distances covered by the patients in order to get primary health-care service. The last was modeled by spatial regression and a positive relationship was found with the age and the frequency with the patients sought health-care services and a negative relationship with the pulmonary clinical form. CONCLUSION: The study revealed the existence of gaps in TB control activities related to the patients and the organization of the health-care services and showed the importance of taking into account the spatial dependence of the phenomena analyzed.
OBJECTIVE: To measure the delays in tuberculosis (TB) suspicion and diagnosis and to identify factors related. METHODS: We defined the delay in TB suspicion as the time between the perception of the symptoms by the patient and the search for health-care service and the diagnosis, as the time between the first visit to the health-care service and the diagnosis. We interviewed 100 patients treated at the health services in São José do Rio Preto that were diagnosed and reported/notified in 2008 and 2009, and the delays were quantified. We obtained the possible explanatory variables from interviews and secondary information available in the surveillance system. The addresses of TB patients and health-care services were geocoded. Variables were assessed by multiple linear regression analysis and, when spatial dependency was detected, by spatial regression. RESULTS: The median values for the delays in TB suspicion and diagnosis were both 15 days. The first was modeled by linear regression and a positive relationship was found with the distances covered by the patients in order to get primary health-care service. The last was modeled by spatial regression and a positive relationship was found with the age and the frequency with the patients sought health-care services and a negative relationship with the pulmonary clinical form. CONCLUSION: The study revealed the existence of gaps in TB control activities related to the patients and the organization of the health-care services and showed the importance of taking into account the spatial dependence of the phenomena analyzed.
Authors: Mellina Yamamura; Marcelino Santos Neto; Francisco Chiaravalloti Neto; Luiz Henrique Arroyo; Antônio Carlos Vieira Ramos; Ana Angélica Rêgo de Queiroz; Aylana de Souza Belchior; Danielle Talita Dos Santos; Juliane de Almeida Crispim; Ione Carvalho Pinto; Severina Alice da Costa Uchôa; Regina Célia Fiorati; Ricardo Alexandre Arcêncio Journal: Infect Dis Poverty Date: 2017-10-12 Impact factor: 4.520