The economic and health impact of rare diseases: A meta-analysis
The economic and health impact of rare diseases: A meta-analysis
Objective: Lack of medical and scientific knowledge on rare diseases (RD) often translates into limited research on them and a subsequent lack of understanding of their economic impact. This meta-analysis aims to fill this gap by evaluating the economic impact of RDs and exploring potential factors associated with the societal burden of RD. Methods: Studies published between January 2010 and February 2017 were identified by searches in the PubMed platform. Thirty eligible studies were identified for inclusion, and nineteen studies were included in the meta-analysis and outcomes were explored. The cost categories include direct healthcare costs, direct non-healthcare formal costs, and direct non-healthcare informal costs. The patients’ health-related quality of life (QoL) dimensions examined include EQ-5D scores, VAS scores and Barthel index, and the carers’ utility outcomes include EQ-5d scores, VAS scores and Zarit scale. Random effects meta-regression models were used for modelling the impact of study and societal characteristics on cost. Results: Across all RDs, mean direct healthcare (DH) costs ($16,513) account for the majority of direct costs (mainly driven by drug costs), followed by mean direct healthcare informal (€15,557) and mean direct healthcare formal (€4,579) costs. Body system affected by the RD, Gross Domestic Product (GDP) per capita and public health expenditure in country of study were the most significant determinants in predicting cost. In regards to QoL outcomes, patients with musculoskeletal diseases seem to have the lowest quality of life across EQ-5D scores, VAS scores and Barthel index. The burden on caregivers seemed to be associated with Autoimmune, followed by Musculoskeletal and Respiratory conditions. Conclusions: This meta-analysis highlights the significant burden of RDs on the health care system and explicitly provides evidence for the magnitude of this impact. Such estimates are necessary to further the debate on priority setting around RDs and their comparison with other chronic diseases. Nevertheless, the large degree of cost variability across RDs might suggest that the use of umbrella terms to raise awareness around RDs’ societal impact might not be warranted.
Cost, Economic impact, Meta-analysis, Quality of life, Rare diseases
32-44
Sequeira, Ana Rita
9b531622-b57d-4c72-a3c7-36dcc845f02c
Mentzakis, Emmanouil
c0922185-18c7-49c2-a659-8ee6d89b5d74
Archangelidi, Olga
0ac00a72-1e2a-4bc4-9fad-105801545611
Paolucci, Francesco
073b630d-7adc-41ee-b198-6b33bcacce6c
March 2021
Sequeira, Ana Rita
9b531622-b57d-4c72-a3c7-36dcc845f02c
Mentzakis, Emmanouil
c0922185-18c7-49c2-a659-8ee6d89b5d74
Archangelidi, Olga
0ac00a72-1e2a-4bc4-9fad-105801545611
Paolucci, Francesco
073b630d-7adc-41ee-b198-6b33bcacce6c
Sequeira, Ana Rita, Mentzakis, Emmanouil, Archangelidi, Olga and Paolucci, Francesco
(2021)
The economic and health impact of rare diseases: A meta-analysis.
Health Policy and Technology, 10 (1), .
(doi:10.1016/j.hlpt.2021.02.002).
Abstract
Objective: Lack of medical and scientific knowledge on rare diseases (RD) often translates into limited research on them and a subsequent lack of understanding of their economic impact. This meta-analysis aims to fill this gap by evaluating the economic impact of RDs and exploring potential factors associated with the societal burden of RD. Methods: Studies published between January 2010 and February 2017 were identified by searches in the PubMed platform. Thirty eligible studies were identified for inclusion, and nineteen studies were included in the meta-analysis and outcomes were explored. The cost categories include direct healthcare costs, direct non-healthcare formal costs, and direct non-healthcare informal costs. The patients’ health-related quality of life (QoL) dimensions examined include EQ-5D scores, VAS scores and Barthel index, and the carers’ utility outcomes include EQ-5d scores, VAS scores and Zarit scale. Random effects meta-regression models were used for modelling the impact of study and societal characteristics on cost. Results: Across all RDs, mean direct healthcare (DH) costs ($16,513) account for the majority of direct costs (mainly driven by drug costs), followed by mean direct healthcare informal (€15,557) and mean direct healthcare formal (€4,579) costs. Body system affected by the RD, Gross Domestic Product (GDP) per capita and public health expenditure in country of study were the most significant determinants in predicting cost. In regards to QoL outcomes, patients with musculoskeletal diseases seem to have the lowest quality of life across EQ-5D scores, VAS scores and Barthel index. The burden on caregivers seemed to be associated with Autoimmune, followed by Musculoskeletal and Respiratory conditions. Conclusions: This meta-analysis highlights the significant burden of RDs on the health care system and explicitly provides evidence for the magnitude of this impact. Such estimates are necessary to further the debate on priority setting around RDs and their comparison with other chronic diseases. Nevertheless, the large degree of cost variability across RDs might suggest that the use of umbrella terms to raise awareness around RDs’ societal impact might not be warranted.
Text
Sequeira Mentzakis et al HPT pre-print
- Accepted Manuscript
More information
Accepted/In Press date: 4 February 2021
e-pub ahead of print date: 4 February 2021
Published date: March 2021
Additional Information:
Publisher Copyright:
© 2021 Fellowship of Postgraduate Medicine
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords:
Cost, Economic impact, Meta-analysis, Quality of life, Rare diseases
Identifiers
Local EPrints ID: 448439
URI: http://eprints.soton.ac.uk/id/eprint/448439
ISSN: 2211-8837
PURE UUID: 0140f21a-c1cb-4c49-a904-a225d7739780
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Date deposited: 22 Apr 2021 16:43
Last modified: 17 Mar 2024 06:25
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Author:
Ana Rita Sequeira
Author:
Olga Archangelidi
Author:
Francesco Paolucci
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