The cost of providing healthcare has not been sufficiently understood, and current approaches for evaluating costs in healthcare delivery, such as the model proposed by World Health Organization (WHO) has significant shortcomings. The TDABC model has received significant attention recently as a realistic tool to measure unit costs in healthcare and may be the right tool for analysts in low resource settings.
Geography: United States; Focus Area: Measuring healthcare costing by focusing on time-division and unit costs
Costing Approach in Low and Middle Income Countries (LMICs) - Generalizable Conclusions from the HIV Case
Time-driven activity-based costing (TDABC) has been implemented in diverse healthcare scenarios. Chi, Chola, and McBain (2022) at the Center for Global Development (CGD) discuss the costing model for healthcare services in the context of low and middle income countries having low budget and complex disease burdens. The primary goals in such scenarios are managing scarce healthcare resources in a cost-effective manner to support budgeting and policy, and reimbursing providers in an appropriate manner. However, TDABC can be applied to costing any healthcare services assisted by data collection and analysis tools.
Costing care in LMIC is complex as treating a patient involves a large number of resources, patients with different conditions may take different paths through a healthcare system and may share resources, patients with same conditions may also take different paths and may require to be treated for the same comorbidities. LMIC may have a certain degree of fragmentation in care delivery, adding to the complexities in costing. TDABC is a recent process-based approach to estimate unit costs. TDABC adopts a micro-costing methodology to identify time spent in resource allocation over a service delivery according to patient perspective. Process mappings are created for every step of the patient journey using information on patient treatment, staff involved, duration, location, and frequency of service utilized overtime.
TDABC resources are mainly available for high-income countries, and the main requirements of LMIC analysts in healthcare costing is the development of data collection instruments. Researchers used the costing for HIV services in clinics and hospitals that may be generalizable to most other healthcare settings. Their approach is based on two parameters i.e. capacity cost care (CCR) (currency per minute expressed as cost of resources divided by practical capacity of resources) and time and motion study (discrete and sequential maps to record the process of patient care).
Prior to executing the TDABC process, key questions related to the purpose of the data collection, source of data, time and resources required, and the complexity of the service need to be considered. Estimation may be a complex process, resource-intensive, and involve multiple constraints. In any case, the process of costing can be classified into two steps, i.e. data collection and data analysis. In the first step - data collection, the service and the delivery value chain is defined, process maps are created, and time estimates obtained for every process. In the second step - data analysis, the cost of supplying direct and indirect resources for patient care delivery are estimated, capacity of resources estimated, CCRs calculated, and finally, the total cost of patient care is calculated.
TDABC serves as a robust model to estimate the actual cost of services through actual observation of resources used by the patient. The framework is convenient as it allows tracking resource use overtime, and updating existing parameters such as new care pathways and revised capacity. The use of process maps unravels strengths and weaknesses of the existing system, allowing analysts to identify appropriateness of steps in the in care delivery process, medication prescription, provider involvement, patient-provider relationship, and care demands in relation to different types of patients. Answering these questions improves efficiency of the healthcare system to standardize the care delivery process, streamline resources, and remodel care delivery.
Promotion: An Actuarial Model for Costing Universal Health Coverage in Armenia Paperback – Import, 30 March 2021 by Rouselle F. Lavado (Author), George Schieber (Author), Ammar Aftab (Author), Saro Tsaturyan (Author), Hiddo A. Huitzing (Author)
Costing in Low Resource Settings (Haiti) with TDABC Model
Healthcare costs in LMIC differ by a hundred-fold ($4000 per person in large global economies i.e. OECD countries versus $40 per patient in low-income countries). Lower income countries have a 40 times greater burden of infectious disease, calculated per capita. Approximating skills and aggregating costs is not an estimate of actual consumption of resources. In low-resource settings, when the actual cost of patient care is omitted, it may not be possible to improve efficiency, reduce care costs, and relate patient outcomes with costs of care. Low-resource settings may often suffer from the problem of treating costs and reimbursement as two sides of the same coin, which incentivizes care providers to over-utilize services with high reimbursement, ignoring services that offer high-value to patients. The choices increase the cost of services to patients, providing little value.
The existing costing framework is the WHO-CHOICE framework which uses a cost aggregation approach in a bottom-up model, assigning individual costs to infrastructure, human resources, or other services for a plan, policy, or programme. However, it does not have a mechanism to monitor resource utilization and time over the lifecycle of a specific medical condition, and providing insufficient data for value-based reimbursement models.
On the other hand, McBain and team analyzed the TDABC model in 2016 in low resource settings that require judicious use of resources for individual patients as well as patient populations. Optimal resource allocation requires understanding the costs of healthcare delivery for effective and efficient care delivery. Researchers explain that in the TDABC model, patients flow through the system, and “human, equipment, and facility resources” are estimated. The approach does not rely on assumptions and minimizes heterogeneity in expenditure. Modeling and streamlining healthcare delivery establishes strong connections between resource allocation and health outcomes.
The TDABC model has been utilized in high income countries, leading to significant cost savings. Calculating patient-level costs for a medical condition over a cycle of care enables transformational reform payment systems and care delivery. Implementing TDABC in low-resource settings has several advantages - comparing costs of two procedures, comparing results obtained with other bottom-up models of costing, measuring additional costs associated with high-risk factors (such as age, substance abuse or obesity), estimating relative resource capacity allocated, optimizing the system over the cycle of care for higher efficiency and better care outcomes, and link resource utilization with possible improvements in patient health.
The two main barriers to implementation of TDABC in low-resource settings has been lack of standardized tools, and a higher level of technical expertise and resources. Researchers proposed a TDABC model for low-resource economies, which they implemented across five health centers to understand patient-level costs, process improvements, financing strategies, and predictive analytics. Due to high costs of staff, it may be judicious to focus on high-cost high-volume conditions. In certain cases, logistic barriers may make it difficult to implement the model. Further, TDABC does not indicate the ideal cost of care (a cost estimate that indicates adequate care, such as cost associated with the physician spending enough time in consultation to be regarded as productive and efficient). Besides, low-resource settings may make it difficult to capture indirect costs, and estimating cost of resources when they are engaged from multiple organizations.
Positive outcomes of the implementation included reduction in variation in conditions, understanding deficit in resources (such as underprescription), identifying staff time allocations for certain activities, understanding distribution of care across a network (such as task-shifting service delivery to community health, increasing patient access to care), forecasting costs and projecting year on year expected costs, examining heterogeneity in costs in different facilities, reassessing variations in supply chain (such as medication stock outs), and performing a valuation of price of health services.
Therefore, in spite of the variation, inefficiencies, and estimation challenges in low and middle income settings, it becomes essential to deliver value-based care. The time-driven activity-based costing (TDABC) model is a plausible framework for low and middle income countries (LMICs) to standardize and improve processes and increase efficiency in care delivery. In such scenarios, universal care coverage can be achieved by understanding the burden of disease and applying a universal costing approach, leading to optimal financial planning.
Promotion: Activity-Based Costing and Activity-Based Management for Health Care Hardcover – Import, 27 January 1998 by Judith J. Baker (Author)
Keywords
indirect costs, health outcomes, cost of care, cost savings, low and middle income countries, high volume, LMIC, time-driven activity based costing, TDABC, fragmentation
References
Chola, L., McBain, R., & Chi, Y-Ling. (2022). Costing Healthcare Services Using Time-Driven Activity-Based Costing. Center for Global Development.
McBain, R. K., Jerome, G., Warsh, J., Browning, M., Mistry, B., Faure, P. A. I., Pierre, C., Fang, A. P., Mugunga, J. C., Rhatigan, J., Leandre, F., & Kaplan, R. (2016). Rethinking the cost of healthcare in low-resource settings: the value of time-driven activity-based costing. BMJ Global Health, 1(3), e000134. https://doi.org/10.1136/bmjgh-2016-000134