Browsing by Author "Oguta, James Odhiambo"

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    Financing immunisation in Kenya: examining bottlenecks in health sector planning and budgeting at the decentralised level
    (Springer Nature, 2024) Adjagba, Alex Olateju; Jackson, Debra; Oguta, James Odhiambo
    Decentralisation has increasingly been adopted by countries as an important health sector reform aimed at increasing community participation in decision making while enhancing swift response at decentralised levels, to accelerate the attainment of health system goals. Kenya adopted a devolved system of government where health services delivery became a function of the 47 semi-autonomous county governments with planning and budgeting functions practised at both levels of government. This study sought to explore challenges facing health sector planning and budgeting and how they affect immunisation service delivery at the county level.
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    Sustainability starts with spending: public financial management lessons from Kenya’s universal health care pilot
    (BioMed Central Ltd, 2025) Jackson, Debra; Adjagba, Alex Olateju; Oguta, James Odhiambo
    Background: Effective public financial management (PFM) is a foundational enabler of sustainable progress toward Universal Health Coverage (UHC). Achieving UHC requires not only increased funding for the health sector but also the efficient, equitable, and accountable use of resources. In 2019, Kenya piloted a UHC initiative across four counties to generate evidence to inform national scale-up. This study examines the PFM processes underpinning the pilot implementation, with a focus on how financial planning, budget execution, and accountability mechanisms influenced the delivery of UHC interventions at the county level. Methods: This study employed a qualitative research design to explore PFM processes during the implementation of Kenya’s UHC pilot in four counties. Data were collected through 51 in-depth interviews and five focus group discussions with key stakeholders, including healthcare workers, patient representatives, and senior members of the County Health Management Teams (CHMTs). An inductive thematic analysis approach was employed to identify patterns and themes that emerged from the data. The analysis was facilitated using Dedoose software (Version 9.0.17), which enabled systematic coding and organization of the qualitative data.