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Prediction of Smear Positive TB Cases at Different Types of Designated Microscopy Centres, Karnataka, India
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作者 Sharath Burugina Nagaraja Suresh Shastri +4 位作者 Jaya Prasad Tripathy Ghansham Sharma Shilpashree Madhav Kunjathur Anil Singarajipur sarabjit chadha 《Journal of Tuberculosis Research》 2017年第4期258-264,共7页
Background: Under the Revised National Tuberculosis control Programme (RNTCP) in India, the designated microscopy centres (DMCs) form the basic unit of smear positive TB case detection in a district. There is a need b... Background: Under the Revised National Tuberculosis control Programme (RNTCP) in India, the designated microscopy centres (DMCs) form the basic unit of smear positive TB case detection in a district. There is a need by the programme managers to estimate the mean and range of smear positive tuberculosis (TB) cases that can be detected at DMCs located in different type of health facilities to channelize their resources. Methods: It is a cross-sectional study conducted in the state of Karnataka, India during January 2014 to December 2014 based on the compiled reports from past five years received from all the 30 districts of the state. The prediction was made based on the performance of these DMCs in the last five years using a modeling technique. Results: The proportions of the DMCs located at health facilities are Primary Health Institutions/Centres (PHIs)—73%, Tuberculosis Units (TUs)—15%, Medical colleges (MC)—7%, District TB centres (DTC)—3% and Private Practitioners (PP)—2%. The maximum number of cases that can be detected at DTC is 3621 (SD 54), TU is 9224 (SD 90), PHI is 20,412 (SD 135), PP is 859 (SD 26) and MC is 8322 (SD 84). Conclusion: The predicted values will essentially serve as a tool for the programme managers of Karnataka to plan, strategize and monitor the performance of DMCs in the state. 展开更多
关键词 Normal Probability Model SMEAR POSITIVE TB PREDICTION INDIA
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Revised National Tuberculosis Control Programme (RNTCP) Tribal Action Plan Fund Utilisation: How Does Chhattisgarh State in India Fare?
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作者 Gayadhar Mallick Sharath Burugina Nagaraja +3 位作者 Karuna D. Sagili Kshitij Khaparde Srinath Satyanarayana sarabjit chadha 《Journal of Tuberculosis Research》 2019年第1期1-10,共10页
Background: In India, tuberculosis remains as a major public health problem amongst the tribal population. Poor physical access to diagnosis and treatment under the Revised National TB control programme (RNTCP) still ... Background: In India, tuberculosis remains as a major public health problem amongst the tribal population. Poor physical access to diagnosis and treatment under the Revised National TB control programme (RNTCP) still remains the problem for the population. RNTCP implements Tribal Action Plan (TAP) for tribal patients. We conducted the study to determine the trends of financial utilisation for the special provisions available under tribal action plan like patient honorarium, incentive for sputum collection and transport, incentive for programme staff and incentive for vehicle maintenance. Methods: A cross-sectional study based on mixed method study approach was conducted in Chhattisgarh, India during Nov. 16 to Jun. 17. District TB Officers implementing TAP were interviewed telephonically using a semi-structured questionnaire to ascertain and analyse the reasons for low fund utilization in their districts. Retrospective financial data for five financial years from 13 TAP districts for 2012-2013 to 2016-2017 was collected, compiled and analysed. Results: Overall, the trends on states expenditure on tribal action plan in terms of absolute numbers has increased over the past five years;however, in terms of fund utilization against received ranges from 37% - 86% with the utilization rate less than 44% in the recent years (2014-2017). Conclusion: The trends of utilisation of TAP is less than 44% over the recent years. There is an urgent need for the administrators to intervene and improve the efficiency of fund utilisation at State and district levels. 展开更多
关键词 FUND Tuberculosis TRIBAL Action Plan RNTCP INDIA
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