Socio-economic costs of rare diseases and the risk of financial hardship: a cross-sectional study

Abstract

Background: To achieve universal healthcare coverage (UHC), the rare disease (RD) population must also receive quality healthcare without financial hardship. This study evaluates the impact of RDs in Hong Kong (HK) by estimating cost from a societal perspective and investigating related risk of financial hardship.

Methods: A total of 284 RD patients and caregivers covering 106 RDs were recruited through HK's largest RD patient group, Rare Disease Hong Kong, in 2020. Resource use data were collected using the Client Service Receipt Inventory for Rare disease population (CSRI-Ra). Costs were estimated using a prevalence-based, bottom-up approach. Risk of financial hardship was estimated using catastrophic health expenditure (CHE) and impoverishing health expenditure (IHE) indicators. Multivariate regression was performed to identify potential determinants.

Findings: Annual total RD costs in HK were estimated at HK$484,256/patient (United States (US) $62,084). Direct non-healthcare cost (HK$193,555/US$24,814) was the highest cost type, followed by direct healthcare (HK$187,166/US$23,995), and indirect (HK$103,535/US$13,273) costs. CHE at the 10% threshold was estimated at 36.3% and IHE at the $3.1 poverty line was 8.8%, both significantly higher than global estimates. Pediatric patients reported higher costs than adult patients (p < 0.001). Longer years since genetic diagnosis was the only factor significantly associated with both total costs (p = 0.026) and CHE (p = 0.003).

Interpretation: This study serves as the first in the Asia Pacific region to simultaneously assess the societal costs and financial hardship related to RDs and highlights the importance of an early genetic diagnosis. These results contribute to existing evidence on the globally ubiquitous high costs of RDs, warranting collaboration between different stakeholders to include RD population in UHC planning.

Funding: Health and Medical Research Fund, and the Society for the Relief of Disabled Children.

Keywords: Rare disease; Societal cost; Socio-economic burden.

Fig. 1

Breakdown and determinants of cost for the rare disease population in Hong Kong. All presented values are baseline estimates in Hong Kong dollars. Variables in circles are different measures of cost. Purple boxes indicate the highest contributor of a specific cost type. Green boxes are potential drivers of the highest contributor of each cost type. Blue boxes are factors that drive up the different measures of cost, fewer years since diagnosis (bolded) was as associated with both total cost and CHE. CHE catastrophic health expenditure; OOP out-of-pocket; RD rare disease.