This abstract has been accepted at the 2024 DHIS2 Annual Conference
Implement the PLHIV tracker database at the National Health Information System (DHIS2) for the care of HIV patients in Bangladesh
Background: There have been gaps in the HIV program’s reporting mechanism since it started. There was no computerized health care related reporting system in place. Consequently, manual or hand made reports were gathered from different facilities. In this situation, the Bangladesh HIV program established a people living with HIV (PLHIV) tracker database in order to improve HIV response and avoid missed follow up cases. The objective is to be able to store real time data and present it appropriately so that we can make the best decision possible. Description: The HISP Bangladesh and the MIS department developed the PLHIV tracker database in December 2021 at the National Health Information System (HMIS). Data on PLHIV diagnoses from the general population and vulnerable populations is routinely archived. This database to improve safety and efficacy among the PLHIV information and accurately track ART enrollment by adding ART follow up events. Through the dashboard, we display the ART status, viral load data, HBV, HCV, and TB status by analyzing a number of different parameters. Lessons learnt: Adoption of the database has decreased the number of lost cases and increased the number of HIV diagnoses daily. Around 3000 missing cases were recovered in the last few years and enrolled in treatment. Patients who have not yet started antiretroviral therapy were planned to tracked. Continuing statistical analysis to determine the outcome of those who finished the viral load test. In the tracker database among diagnosed PLHIV 69.0% were male, 30.0% were female and 1.0% were transgender. Most (65.0%) of the patients were aged 25–49 years and the second highest (17.0%) came from the 19–24 age group. More than 60.0% of patients were married and the unmarried were 31.5%. Around 20.0% of the reported PLHIV cases are from the migrant population. The risk behavior among the PLHIV was 51.4% heterosexual exposure, 27.6% MSM, and 13.0% PWID. Findings were gathered and shown through the dashboard by examining all forms of HIV related data. Additionally, this database was used to compile the SDG and global HIV indicators report. Conclusions: Target levels of several HIV indicators are now considerably easier to achieve because of real time data collection in the database. With the database’s adoption, the number of lost cases was gradually decreasing. Attention needs to be paid to ensure that accurate information is entered from data entry points, and monitoring systems should be strengthened to maintain data quality.
Primary Author: Md. Alauddin Chowdhury
Keywords:
Implement the PLHIV tracker database at the National Health Information System (DHIS2) for the care of HIV patients in Bangladesh
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