Godfrey Ekuka1, Ismael Kawooya2,3, Edward Kayongo2,3, Ronald Ssenyonga4, Frank Mugabe5, Peter Awongo Chaiga5, Andrew Nsawotebba1, Hannock Tweya6, Rhona Mijumbi-Deve2,3. 1. National TB Reference Laboratory, Plot 106-1062 Butabika Road, Luzira, Kampala, Uganda. 2. The Center for Rapid Evidence Synthesis (ACRES), Makerere University College of Health Sciences, Kampala,Uganda. 3. Regional East African Community Health Policy Initiative (REACH-PI), Uganda Country node, Makerere University, Kampala Uganda. 4. National TB and Leprosy Control Program, Ministry of Health, Plot 6, Lourdel Road, Nakasero, Kampala, Uganda. 5. Clinical Trials Unit, Department of Epidemiology and Biostatistics, School of Public Health, Makerere University College of Health Sciences, Uganda. 6. Light House Trust, Kamuzu Central Hospital Area 33 Mzimba Street, Malawi.
Abstract
BACKGROUND: Drop out of presumptive TB individuals before making a final diagnosis poses a danger to the individual and their community. We aimed to determine the proportion of these presumptive TB drop outs and their associated factors in Bugembe Health Centre, Jinja, Uganda. METHODS: We used data from the DHIS2, presumptive and laboratory registers of Bugembe Health Centre IV for 2017. Descriptive statistics were used to summarize the population characteristics. A modified Poisson regression model via the generalized linear model (GLM) with log link and robust standard errors was used for bivariate and multivariate analysis.We used data from the DHIS2, presumptive and laboratory registers of Bugembe Health Centre IV for 2017. Descriptive statistics were used to summarize the population characteristics. A modified Poisson regression model via the generalized linear model (GLM) with log link and robust standard errors was used for bivariate and multivariate analysis. RESULT: Among the 216 registered presumptive TB patients who were less than 1% of patients visiting the outpatients' department, 40.7% dropped out before final diagnosis was made. Age and HIV status were significantly associated with pre-diagnostic drop out while gender and distance from the health center were not. CONCLUSION: A high risk to individuals and the community is posed by the significant proportion of presumptive TB patients dropping out before final diagnosis. Health systems managers need to consider interventions targeting young persons, male patients, HIV positive persons.
BACKGROUND: Drop out of presumptive TB individuals before making a final diagnosis poses a danger to the individual and their community. We aimed to determine the proportion of these presumptive TB drop outs and their associated factors in Bugembe Health Centre, Jinja, Uganda. METHODS: We used data from the DHIS2, presumptive and laboratory registers of Bugembe Health Centre IV for 2017. Descriptive statistics were used to summarize the population characteristics. A modified Poisson regression model via the generalized linear model (GLM) with log link and robust standard errors was used for bivariate and multivariate analysis.We used data from the DHIS2, presumptive and laboratory registers of Bugembe Health Centre IV for 2017. Descriptive statistics were used to summarize the population characteristics. A modified Poisson regression model via the generalized linear model (GLM) with log link and robust standard errors was used for bivariate and multivariate analysis. RESULT: Among the 216 registered presumptive TB patients who were less than 1% of patients visiting the outpatients' department, 40.7% dropped out before final diagnosis was made. Age and HIV status were significantly associated with pre-diagnostic drop out while gender and distance from the health center were not. CONCLUSION: A high risk to individuals and the community is posed by the significant proportion of presumptive TB patients dropping out before final diagnosis. Health systems managers need to consider interventions targeting young persons, male patients, HIV positive persons.
Authors: Pascalina Chanda-Kapata; Nathan Kapata; Felix Masiye; Mwendaweli Maboshe; Eveline Klinkenberg; Frank Cobelens; Martin P Grobusch Journal: PLoS One Date: 2016-10-06 Impact factor: 3.240