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

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.

Meta-analysis of the diagnostic and clinical utility of exome and genome sequencing in pediatric and adult patients with rare diseases across diverse populations.

PURPOSE: This meta-analysis aims to compare the diagnostic and clinical utility of exome sequencing (ES) vs genome sequencing (GS) in pediatric and adult patients with rare diseases across diverse populations. METHODS: A meta-analysis was conducted to identify studies from 2011 to 2021. RESULTS: One hundred sixty-one studies across 31 countries/regions were eligible, featuring 50,417 probands of diverse populations. Diagnostic rates of ES (0.38, 95% CI 0.36-0.40) and GS (0.34, 95% CI 0.30-0.38) were similar (P = .1). Within-cohort comparison illustrated 1.2-times odds of diagnosis by GS over ES (95% CI 0.79-1.83, P = .38). GS studies discovered a higher range of novel genes than ES studies; yet, the rate of variant of unknown significance did not differ (P = .78). Among high-quality studies, clinical utility of GS (0.77, 95% CI 0.64-0.90) was higher than that of ES (0.44, 95% CI 0.30-0.58) (P < .01). CONCLUSION: This meta-analysis provides an important update to demonstrate the similar diagnostic rates between ES and GS and the higher clinical utility of GS over ES. With the newly published recommendations for clinical interpretation of variants found in noncoding regions of the genome and the trend of decreasing variant of unknown significance and GS cost, it is expected that GS will be more widely used in clinical settings.

Evaluating the Health-Related Quality of Life of the Rare Disease Population in Hong Kong Using EQ-5D 3-Level.

OBJECTIVES: This study aimed to establish a normative profile of health-related quality of life (HRQOL) of the rare disease (RD) population in Hong Kong (HK) and identify potential predictors. METHODS: Between March 2020 and October 2020, patients with RD and caregivers were recruited through Rare Disease Hong Kong, the largest RD patient group alliance in HK. HRQOL was derived using the EQ-5D 3-Level with reference to the established HK value set. Utility scores were stratified according to demographics and disease-related information. Multiple linear regression was performed to explore the associations between patient characteristics and HRQOL. RESULTS: A total of 286 patients, covering 107 unique RDs, reported a mean utility score of 0.53 (SD 0.36). Thirty patients (10.5%) reported negative utility scores, indicating worse-than-death health states. More problems were recorded in the "usual activities" and "self-care" dimensions. Univariate analyses revealed that neurologic diseases, high out-of-pocket expenditure, home modification, and living in public housing or subdivided flats/units were significantly associated with lower HRQOL. A total of 99 caregivers reported a mean utility score of 0.78 (SD 0.17), which was significantly associated with the utility score of patients they took care of (r = 0.32; P = .001). CONCLUSIONS: The normative profile of the RD population was established, which revealed lower HRQOL in the RD population than other chronic disease groups and general population in HK. Findings were corroborated by evidence from other cohorts using EQ-5D, combined as part of a meta-analysis. Identifying predictors highlight areas that should be prioritized to improve HRQOL of RD population through clinical and psychosocial dimensions.