ABSTRACT
Maternity waiting homes (MWHs) are one strategy to improve access to skilled obstetric care in low resource settings such as Zambia. The Maternity Homes Access in Zambia project built 10 MWHs at rural health centers in Zambia for women awaiting delivery and postnatal care (PNC) visits. The objective of this paper is to summarize the costs associated with setup of 10 MWHs, including infrastructure, furnishing, stakeholder engagement, and activities to build the capacity of local communities to govern MWHs. We do not present operational costs after setup was complete. We used a retrospective, top-down program costing approach. We reviewed study documentation to compile planned and actual costs by site. All costs were annuitized using a 3% discount rate and organized by cost categories: (1) Capital: infrastructure and furnishing, and (2) Installation: capacity building activities and stakeholder engagement. We assumed lifespans of 30 years for infrastructure; 5 years for furnishings; and 3 years for installation activities. Annuitized costs were used to estimate cost per night stayed and per visit for delivery and PNC-related stays. We also modeled theoretical utilization and cost scenarios. The average setup cost of one MWH was $85,284 (capital: 76%; installation: 24%). Annuitized setup cost per MWH was USD$12,516 per year. At an observed occupancy rate of 39%, setup cost per visit to the MWH was USD$70, while setup cost per night stayed was USD$6. The cost of stakeholder engagement activities was underbudgeted by half at the beginning of this project.This analysis serves as a planning resource for governments and implementers that are considering MWHs as a component of their overall maternal and child health strategy. Planning considerations should include the annuitized cost, value of capacity building and stakeholder engagement, and that cost per bed night and visit are dependent upon utilization.
ABSTRACT
Background: Maternity waiting homes (MWH) allow pregnant women to stay in a residential facility close to a health center while awaiting delivery. This approach can improve health outcomes for women and children. Health planners need to consider many factors in deciding the number of beds needed for an MWH. Objective: The objective of the study is to review experience in Zambia in planning and implementing MWHs, and consider lessons learned in determining optimal capacity. Methods: We conducted a study of 10 newly built MWH in Zambia over 12 months. For this case study analysis, data on beds, service volume, and catchment area population were examined, including women staying at the homes, bed occupancy, and average length of stay. We analyzed bed occupancy by location and health facility catchment area size, and categorized occupancy by month from very low to very high. Findings: Most study sites were rural, with 3 of the 10 study sites rural-remote. Four sites served small catchment areas (<9 000), 3 had medium (9 000-11 000), and 3 had large (>11 000) size populations. Annual occupancy was variable among the sites, ranging from 13% (a medium rural site) to 151% (a large rural-remote site). Occupancy higher than 100% was accommodated by repurposing the MWH postnatal beds and using extra mattresses. Most sites had between 26-69% annual occupancy, but monthly occupancy was highly variable for reasons that seem unrelated to catchment area size, rural or rural-remote location. Conclusion: Planning for MWH capacity is difficult due to high variability. Our analysis suggests planners should try to gather actual recent monthly birth data and estimate capacity using the highest expected utilization months, anticipating that facility-based deliveries may increase with introduction of a MWH. Further research is needed to document and share data on MWH operations, including utilization statistics like number of beds, mattresses, occupancy rates and average length of stay.
