This study is the first to apply Time-Driven Activity-Based Costing (TDABC) to HIV services in Zimbabwe, providing granular costing data crucial for strategic planning and sustainable health financing. By mapping the implementation of PMTCT care pathways, estimating the provider costs, and identifying key sources of cost variation, the study provides a comprehensive view of resource use and opportunities for efficiency.
The study demonstrates that the cost of guiding an HIV-positive mother and her exposed infant through the entire PMTCT cascade is a fraction of the cost incurred when prevention fails. This aligns with economic analyses from other settings, which highlight PMTCT as a highly cost-effective intervention [8–10]. Protecting this investment is crucial to avoid future, far greater financial liabilities for the health service provider.
Investment case for Prevention services
The cost analysis demonstrated that PMTCT is a highly cost-saving intervention across diverse settings, aligning with findings from Tanzania where it remained cost effective despite the higher average cost for pregnant women [11]. Preventing a single maternal infection averts a lifetime treatment cost. Despite the operational issues observes, including deviations from guidelines and test kit stockouts, the cost-saving nature of PMTCT remains undisputed. Improving the supply chain and reinforcing adherence to guidelines are clinically imperative and would further enhance the exceptional return on investment by ensuring every dollar spent achieved its intended preventive outcome.
The current landscape of shifting global health financing makes a relentless focus on efficient more critical than ever. Our findings suggest several pathways to maximise the value of PMTCT investments. In line with existing body of literature, the efficiency of primary care clinics supports a continued shift towards a decentralized, nurse-led model of care as this facilitates cost reduction [12].
Cost Drivers and Efficiencies within the PMTCT Cascade
The study’s micro-costing approach identified distinct cost drivers at different stages of the cascade. For the initial HIV testing of a mother, indirect costs were the primary driver suggesting foundational health system overhead were a significant component. In contrast, EID costs were driven by inputs, primarily medicine and laboratory test kits. This shift in cost structure underscores the resource-intensive nature of paediatric diagnostics and reinforces the role of these commodities as noted in regional studies [13].
The primary cost driver of provision of ART to a mother within PMTCT services was laboratory services ($34·56), whereas for paediatric ART, the cost of medicine was the largest component ($27·98). Our methodology reflects higher testing costs compared to other methodologies in previous studies [14]. The annual cost of vertical transmission, accounted for as the cost of treating an infected infant ($450·56), was more than double the cost of treating their mother, a finding consistent with other studies, though at a lower absolute cost than that reported in Zambia ($521–$624) [15]. This difference highlights the ongoing financial burden of paediatric formulations and intensive monitoring.
Bridging the Policy-Practice gap and Enhancing Program Efficiency
A critical finding from the process mapping and costing was the observable gap between policy and practice. We documented a systematic deviation from the national testing algorithm in the Operational Service Delivery Manual (OSDM), with facilities commonly using two test kits instead of the recommended three due to stockouts and high workload. This practice, also noted in other African countries like Mozambique, introduces a vulnerability that could lead to misclassification and diminish the effectiveness of the entire PMTCT cascade [16,17]. Whether these deviations significantly affect transmission outcomes remains unclear, as evaluating the rate of misclassification was beyond the scope of this study.
Furthermore, the data reveal significant efficiency gains from a decentralised, task-shifting model. The cost of PMTCT services was lowest at the clinic level compared to central hospitals, corroborating findings from studies across 22 African countries on the cost-minimising effects of task-shifting and service integration [18]. This suggests that further decentralisation of services such as point-of-care viral load testing could yield substantial efficiency gains. In the context of shifting global health financing priorities, sustained investment in HIV prevention remains essential to preserve the country’s gains.
Based on our findings, we recommend conducting a formal review of testing algorithms to determine whether a streamlined, yet effective, protocol could be adopted to enhance feasibility without compromising quality of care. Fortifying the supply chain, particularly for EID commodities will strengthen postnatal prevention efforts, which account for more than half of vertical transmissions [13]. A reliable supply of test kits and prophylactic medicines is essential to protect the investment in the entire PMTCT cascade. Policy makers should leverage the documented cost efficiencies of primary care clinics by further decentralising services, expanding point-of-care technologies and strengthening the nurse-led model of care for stable patients. Expanding these models can enhance resilience amid funding cuts and maintain the gains achieved in PMTCT.
Strengths and limitations
The study facilities were purposively selected to ensure maximum variability of findings. While this provides rich contextual data, the results may not be fully generalizable to all health facilities in Zimbabwe. The average costs presented should be interpreted as robust estimates rather than definitive national figures. Being a cross-sectional study, the data reflect a snapshot in time and may not be reflective of seasonal variations in patient-provider interactions and HIV-related patient attendances, nor the long-term trends in commodity prices and wage adjustments. The lifetime cost estimates were modelled using current treatment costs based on financial year 2022, standard survival assumptions, and a stable clinical course. The cost analysis demonstrates potential cost savings from prevention, it does not quantify the magnitude of health benefits or include sensitivity testing, as the available dataset lacked key parameters for uncertainty. The estimates exclude potential future changes in treatment guidelines, drug price and the additional costs of managing advanced HIV disease and opportunistic infections. This analysis focused on facility-based provider-patient interactions, as a concurrent community-based intervention was underway during the data collection period. A separate costing of community-based service provision is encouraged, and consideration of service delivery integration is recommended to improve service delivery opportunities to served communities.