Silent changes of tuberculosis in Iran (2005-2015): A joinpoint regression analysis.

J Family Med Prim Care

Department of Public Health, Health Sciences Research Center, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.

Published: January 2017

Introduction And Aim: Tuberculosis (TB) poses a severe risk to public health through the world but excessively distresses low-income nations. The aim of this study is to analyze silent changes of TB in Iran (2005-2015): A joinpoint regression analysis.

Materials And Methods: This is a trend study conducted on all patients ( = 70) that register in control disease center of Joibar (one of coastal cities and tourism destination in Northern Iran which was recognized as an independent town since 1998) during 2005-2015. The characteristics of patients imported to the SPSS 19 and variation in incidence rate of different forms of pulmonary TB (PTB) (PTB+ or PTB-) and extra-PTB (EPTB)/year was analyzed. Variation in incidence rate of TB for male and female groups and different age groups (0-14, 15-24, 25-34, 35-44, 45-54, 55-64, and above 65 years) was analyzed, variation in trend of this diseases for different groups was compared in intended years, and also, variation in incidence rate of TB was analyzed by Joinpoint Regression Software.

Results: The total number of TB was 70 cases during 2005-2015. The mean age of patients was 42.31 ± 21.26 years and median age was 40 years. About 71.4% of patients were PTB (55.7% for with PTB+ and 15.7% with PTB-) and rest of them (28.4%) were EPTB. In regard to classification of cases, 97.1% of them were new cases, 1.45% of them were relapsed cases, and 1.45% of them imported cases. In addition, history of hospitalization due to TB was observed in 44.3%.

Conclusion: Despite recent developments of governmental health-care system in Iran and proper access to it and considering this fact that identification of TB cases with passive surveillance is possible. Hence, developing certain programs for sensitization of the covered population is essential.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5848394PMC
http://dx.doi.org/10.4103/jfmpc.jfmpc_190_17DOI Listing

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