Publications by authors named "Andrew Kashoka"

Article Synopsis
  • Digital tools and SMART Guidelines by WHO aim to streamline the adoption of health policies and enhance the integration of clinical recommendations into digital systems through user-friendly formats known as Digital Adaptation Kits (DAKs).
  • A structured adaptation process was undertaken for the WHO antenatal care (ANC) digital module in Zambia and Rwanda, involving assessments and collaboration with multi-stakeholder teams to ensure alignment with local health packages.
  • The analysis showed that over 80% of the generic DAK content was applicable to both countries, highlighting the importance of coordinated efforts between maternal and digital health sectors in customizing the ANC digital modules.
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Background: About 13 years since the introduction of antiretroviral therapy (ART) for children living with HIV (CLHIV) in Zambia, HIV/AIDS testing and treatment guidelines for children have evolved over the years with limited documentation of long-term trends in the numbers testing HIV positive and initiating ART. We examined trends in HIV testing and ART initiation in Zambia.

Methods: We conducted a retrospective cohort study using routinely collected patient level data from 496 health facilities across Zambia.

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Background: Despite widespread interest in computerized vaccination information systems, evaluation of the data quality in these systems and their acceptability to frontline healthcare workers in low and middle-income countries aren't well addressed in the literature.

Objectives: Evaluation of vaccination data quality and facility-level staff perspectives on the strengths and challenges of a vaccination data module in a widely used electronic health record (EHR) system in Zambia.

Methods: After a desk review of data from two provinces, a cross-sectional mixed methods study was designed, including quantitative analysis of data quality and qualitative analysis of the module's acceptability to facility staff, using the Information System Success model as the framework for evaluation of system quality, service quality, and information quality.

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