Evaluating the medical direct costs associated with prematurity during the initial hospitalization in Rwanda: a prevalence based cost of illness study
Metadatos
Mostrar el registro completo del ítemEditorial
BMC
Materia
Prematurity Preterm birth Medical direct cost
Fecha
2022-07-27Referencia bibliográfica
Ngabonzima, A... [et al.]. Evaluating the medical direct costs associated with prematurity during the initial hospitalization in Rwanda: a prevalence based cost of illness study. BMC Health Serv Res 22, 953 (2022). [https://doi.org/10.1186/s12913-022-08283-w]
Resumen
Background: Prematurity is still the leading cause of global neonatal mortality, Rwanda included, even though
advanced medical technology has improved survival. Initial hospitalization of premature babies (PBs) is associated
with high costs which have an impact on Rwanda’s health budget. In Rwanda, these costs are not known, while
knowing them would allow better planning, hence the purpose and motivation for this research.
Methods: This was a prospective cost of illness study using a prevalence approach conducted in 5 hospitals (University
Teaching Hospital of Butare, Gisenyi, Masaka, Muhima, and Ruhengeri). It included PBs admitted from June to July
2021 followed up prospectively to determine the medical direct costs (MDC) by enumerating the cost of all inputs.
Descriptive analyses and ordinary least squares regression were used to illustrate factors associated with and predictive
of mean cost. The significance level was set at p < 0.05.
Results: A total of 123 PBs were included. Very preterm and moderate PBs were 36.6% and 23.6% respectively and
the average birth weight (BW) was 1724 g (SD: 408.1 g). The overall mean MDC was $237.7 per PB (SD: $294.9) representing
28% of Gross Domestic Product (GDP) per capita per year. Costs per PB varied with weight category, prematurity
degree, hospital level, and length of stay (LoS) among other variables. MDC was dominated by drugs and supplies
(65%) with oxygen being an influential driver of MDC accounting for 38.4% of total MDC. Birth weight, oxygen
therapy, and hospital level were significant MDC predictive factors.
Conclusion: This study provides an in-depth understanding of MDC of initial hospitalization of PBs in Rwanda. It also
indicates predictive factors, including birth weight, which can be managed through measures to prevent or delay
preterm birth.
Implication for prematurity prevention and management: The results suggest a need to revise the benefits and
entitlements of insured people to include drugs and interventions not covered that are essential and where there are
no alternatives. Having oxygen plants in hospitals may reduce oxygen-related costs. Furthermore, interventions to
reduce prematurity should be evaluated using cost-effectiveness analysis since its overall burden is high.